======================================================= RESTART [11-22 15:41:33] ======================================================= /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: model.safetensors: 0%| | 0.00/346M [00:00 VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler wandb: Using wandb-core as the SDK backend. Please refer to https://wandb.me/wandb-core for more information. wandb: Currently logged in as: kaiqiu. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.18.3 wandb: Run data is saved locally in /home/user/VAR/wandb/run-20241121_234256-y33haasj wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run wise-puddle-536 wandb: View project at https://wandb.ai/kaiqiu/VAR wandb: View run at https://wandb.ai/kaiqiu/VAR/runs/y33haasj /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_12 0.0294 ms 100.0% triton_mm_8 0.0295 ms 99.8% triton_mm_7 0.0298 ms 98.6% triton_mm_11 0.0299 ms 98.4% triton_mm_4 0.0306 ms 96.1% triton_mm_6 0.0307 ms 95.9% triton_mm_9 0.0311 ms 94.6% triton_mm_10 0.0316 ms 92.9% triton_mm_14 0.0319 ms 92.3% triton_mm_16 0.0319 ms 92.2% SingleProcess AUTOTUNE benchmarking takes 2.2358 seconds and 0.0123 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0276 ms 100.0% triton_mm_18 0.0281 ms 98.0% triton_mm_29 0.0284 ms 97.2% bias_addmm 0.0297 ms 92.8% triton_mm_28 0.0297 ms 92.6% triton_mm_24 0.0299 ms 92.1% triton_mm_25 0.0303 ms 90.8% triton_mm_21 0.0316 ms 87.1% triton_mm_31 0.0336 ms 81.9% triton_mm_27 0.0338 ms 81.6% SingleProcess AUTOTUNE benchmarking takes 2.1777 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_51 0.3006 ms 100.0% triton_mm_50 0.3020 ms 99.5% bias_addmm 0.3349 ms 89.8% triton_mm_52 0.3391 ms 88.7% triton_mm_45 0.3518 ms 85.5% triton_mm_43 0.3710 ms 81.0% triton_mm_47 0.3741 ms 80.4% triton_mm_44 0.4126 ms 72.9% triton_mm_48 0.4266 ms 70.5% addmm 0.4285 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.6701 seconds and 0.0228 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1049 ms 100.0% triton_mm_69 0.1070 ms 98.1% triton_mm_71 0.1154 ms 90.9% bias_addmm 0.1202 ms 87.3% triton_mm_64 0.1247 ms 84.1% addmm 0.1310 ms 80.1% triton_mm_66 0.1319 ms 79.5% triton_mm_62 0.1323 ms 79.3% triton_mm_63 0.1446 ms 72.5% triton_mm_67 0.1474 ms 71.2% SingleProcess AUTOTUNE benchmarking takes 2.5387 seconds and 0.0010 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.4025 ms 100.0% triton_mm_88 0.4065 ms 99.0% triton_mm_90 0.4512 ms 89.2% triton_mm_83 0.4695 ms 85.7% triton_mm_81 0.4976 ms 80.9% triton_mm_85 0.5046 ms 79.8% addmm 0.5116 ms 78.7% triton_mm_82 0.5534 ms 72.7% triton_mm_84 0.5620 ms 71.6% triton_mm_86 0.5729 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.6853 seconds and 1.5808 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3669 ms 100.0% triton_mm_107 0.3861 ms 95.0% addmm 0.3869 ms 94.8% triton_mm_109 0.3914 ms 93.7% bias_addmm 0.4355 ms 84.3% triton_mm_102 0.4622 ms 79.4% triton_mm_103 0.4835 ms 75.9% triton_mm_104 0.4839 ms 75.8% triton_mm_100 0.4853 ms 75.6% triton_mm_105 0.5394 ms 68.0% SingleProcess AUTOTUNE benchmarking takes 2.6865 seconds and 0.2303 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_126 0.0274 ms 100.0% triton_mm_122 0.0278 ms 98.7% triton_mm_111 0.0281 ms 97.6% triton_mm_121 0.0286 ms 95.9% triton_mm_117 0.0287 ms 95.4% bias_addmm 0.0297 ms 92.3% triton_mm_118 0.0309 ms 88.8% triton_mm_114 0.0312 ms 88.0% triton_mm_113 0.0327 ms 83.9% triton_mm_112 0.0332 ms 82.6% SingleProcess AUTOTUNE benchmarking takes 2.1866 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3653 ms 100.0% triton_mm_200 0.3851 ms 94.9% addmm 0.3878 ms 94.2% triton_mm_202 0.3884 ms 94.0% bias_addmm 0.4364 ms 83.7% triton_mm_195 0.4605 ms 79.3% triton_mm_197 0.4810 ms 75.9% triton_mm_193 0.4821 ms 75.8% triton_mm_196 0.4821 ms 75.8% triton_mm_198 0.5348 ms 68.3% SingleProcess AUTOTUNE benchmarking takes 2.6735 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_294 0.3641 ms 100.0% triton_mm_293 0.3839 ms 94.9% addmm 0.3873 ms 94.0% triton_mm_295 0.3884 ms 93.7% bias_addmm 0.4355 ms 83.6% triton_mm_288 0.4591 ms 79.3% triton_mm_289 0.4794 ms 76.0% triton_mm_290 0.4805 ms 75.8% triton_mm_286 0.4810 ms 75.7% triton_mm_291 0.5350 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.6851 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1598 ms 100.0% triton_mm_591 0.1614 ms 99.0% triton_mm_593 0.1777 ms 89.9% triton_mm_586 0.1887 ms 84.7% triton_mm_588 0.1965 ms 81.3% triton_mm_584 0.1967 ms 81.2% bias_addmm 0.2127 ms 75.1% triton_mm_585 0.2203 ms 72.5% triton_mm_589 0.2236 ms 71.4% triton_mm_587 0.2324 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5753 seconds and 0.0174 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_611 0.2395 ms 100.0% triton_mm_610 0.2400 ms 99.8% bias_addmm 0.2574 ms 93.1% triton_mm_612 0.2638 ms 90.8% triton_mm_605 0.2944 ms 81.4% addmm 0.2981 ms 80.3% triton_mm_607 0.3023 ms 79.2% triton_mm_603 0.3028 ms 79.1% triton_mm_606 0.3285 ms 72.9% triton_mm_608 0.3448 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.6518 seconds and 0.0011 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0924 ms 100.0% triton_mm_630 0.0940 ms 98.4% triton_mm_631 0.0988 ms 93.6% triton_mm_629 0.0994 ms 93.0% triton_mm_624 0.1115 ms 82.9% triton_mm_626 0.1133 ms 81.6% triton_mm_622 0.1140 ms 81.1% triton_mm_625 0.1280 ms 72.2% triton_mm_627 0.1327 ms 69.7% triton_mm_623 0.1330 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.4378 seconds and 0.0012 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1938 0.0144 ms 100.0% triton_mm_1942 0.0158 ms 91.3% triton_mm_1946 0.0169 ms 85.3% triton_mm_1950 0.0173 ms 83.2% triton_mm_1941 0.0194 ms 74.3% triton_mm_1935 0.0200 ms 72.2% triton_mm_1937 0.0201 ms 71.8% triton_mm_1936 0.0208 ms 69.4% triton_mm_1945 0.0213 ms 67.7% triton_mm_1948 0.0223 ms 64.7% SingleProcess AUTOTUNE benchmarking takes 7.2865 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5172 ms 100.0% triton_mm_1968 2.5379 ms 99.2% triton_mm_1967 2.5669 ms 98.1% triton_mm_1969 2.8267 ms 89.1% triton_mm_1962 3.0379 ms 82.9% triton_mm_1964 3.1886 ms 78.9% addmm 3.2293 ms 77.9% triton_mm_1960 3.3060 ms 76.1% triton_mm_1963 3.6169 ms 69.6% triton_mm_1965 3.6326 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 11.8876 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.2717 ms 100.0% triton_mm_2006 2.3423 ms 97.0% mm 2.4141 ms 94.1% triton_mm_2007 2.4594 ms 92.4% triton_mm_1998 2.9699 ms 76.5% triton_mm_2000 2.9908 ms 76.0% triton_mm_2002 3.0554 ms 74.4% triton_mm_2001 3.1288 ms 72.6% triton_mm_2003 3.2140 ms 70.7% triton_mm_1999 3.2853 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.9808 seconds and 0.0121 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3539 ms 100.0% triton_mm_2077 0.3789 ms 93.4% triton_mm_2078 0.3861 ms 91.7% triton_mm_2079 0.3953 ms 89.5% triton_mm_2072 0.4730 ms 74.8% triton_mm_2074 0.4775 ms 74.1% triton_mm_2070 0.4810 ms 73.6% triton_mm_2073 0.5081 ms 69.7% triton_mm_2075 0.5180 ms 68.3% triton_mm_2071 0.5311 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 2.5603 seconds and 0.0009 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2030 0.0126 ms 100.0% triton_mm_2033 0.0128 ms 98.0% triton_mm_2038 0.0130 ms 97.0% triton_mm_2039 0.0132 ms 94.9% triton_mm_2041 0.0132 ms 94.9% triton_mm_2040 0.0133 ms 94.7% triton_mm_2036 0.0134 ms 94.1% triton_mm_2034 0.0135 ms 93.5% triton_mm_2031 0.0139 ms 90.3% triton_mm_2037 0.0139 ms 90.3% SingleProcess AUTOTUNE benchmarking takes 11.3279 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2012 0.0169 ms 100.0% triton_mm_2016 0.0178 ms 95.0% mm 0.0192 ms 88.0% triton_mm_2020 0.0212 ms 79.9% triton_mm_2024 0.0251 ms 67.5% triton_mm_2011 0.0260 ms 65.0% triton_mm_2010 0.0264 ms 64.1% triton_mm_2015 0.0282 ms 60.0% triton_mm_2019 0.0295 ms 57.4% triton_mm_2009 0.0306 ms 55.3% SingleProcess AUTOTUNE benchmarking takes 6.9672 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3068 ms 100.0% triton_mm_1987 2.3234 ms 99.3% triton_mm_1986 2.3367 ms 98.7% triton_mm_1988 2.4064 ms 95.9% triton_mm_1982 3.0094 ms 76.7% triton_mm_1981 3.1353 ms 73.6% triton_mm_1979 3.1822 ms 72.5% triton_mm_1980 3.2247 ms 71.5% triton_mm_1984 3.2788 ms 70.4% triton_mm_1983 3.4333 ms 67.2% SingleProcess AUTOTUNE benchmarking takes 9.9290 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3748 ms 100.0% mm 0.3798 ms 98.7% triton_mm_2059 0.3890 ms 96.4% triton_mm_2060 0.4221 ms 88.8% triton_mm_2051 0.4574 ms 82.0% triton_mm_2053 0.4602 ms 81.5% triton_mm_2055 0.4718 ms 79.4% triton_mm_2052 0.4888 ms 76.7% triton_mm_2056 0.5244 ms 71.5% triton_mm_2054 0.5368 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 10.9420 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3523 ms 100.0% triton_mm_2096 0.3616 ms 97.4% triton_mm_2097 0.3672 ms 95.9% triton_mm_2098 0.3804 ms 92.6% triton_mm_2091 0.4500 ms 78.3% triton_mm_2092 0.4631 ms 76.1% triton_mm_2089 0.4745 ms 74.3% triton_mm_2093 0.4751 ms 74.2% triton_mm_2090 0.4989 ms 70.6% triton_mm_2094 0.5146 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 9.7496 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3711 ms 100.0% triton_mm_2116 0.3811 ms 97.4% mm 0.3822 ms 97.1% triton_mm_2117 0.3944 ms 94.1% triton_mm_2110 0.4624 ms 80.3% triton_mm_2108 0.4722 ms 78.6% triton_mm_2112 0.4737 ms 78.3% triton_mm_2111 0.5012 ms 74.0% triton_mm_2113 0.5182 ms 71.6% triton_mm_2109 0.5266 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 9.9964 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2172 0.2725 ms 100.0% triton_mm_2173 0.2790 ms 97.7% triton_mm_2174 0.2886 ms 94.4% mm 0.3009 ms 90.6% triton_mm_2167 0.3390 ms 80.4% triton_mm_2168 0.3468 ms 78.6% triton_mm_2165 0.3567 ms 76.4% triton_mm_2169 0.3592 ms 75.9% triton_mm_2166 0.3739 ms 72.9% triton_mm_2170 0.3860 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 9.9582 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2872 ms 100.0% triton_mm_2192 0.2897 ms 99.2% mm 0.2901 ms 99.0% triton_mm_2193 0.2956 ms 97.2% triton_mm_2184 0.3466 ms 82.9% triton_mm_2186 0.3476 ms 82.6% triton_mm_2188 0.3485 ms 82.4% triton_mm_2187 0.3756 ms 76.5% triton_mm_2189 0.3882 ms 74.0% triton_mm_2185 0.3949 ms 72.7% SingleProcess AUTOTUNE benchmarking takes 9.8818 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0932 ms 100.0% triton_mm_2155 0.0991 ms 94.0% triton_mm_2154 0.1080 ms 86.3% triton_mm_2148 0.1207 ms 77.2% triton_mm_2153 0.1208 ms 77.1% triton_mm_2150 0.1232 ms 75.6% triton_mm_2146 0.1240 ms 75.1% triton_mm_2149 0.1279 ms 72.8% triton_mm_2151 0.1315 ms 70.8% triton_mm_2147 0.1333 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.4373 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0982 ms 100.0% triton_mm_2134 0.1004 ms 97.9% triton_mm_2135 0.1036 ms 94.8% triton_mm_2136 0.1095 ms 89.7% triton_mm_2131 0.1240 ms 79.2% triton_mm_2129 0.1241 ms 79.2% triton_mm_2127 0.1242 ms 79.1% triton_mm_2128 0.1282 ms 76.7% triton_mm_2132 0.1369 ms 71.8% triton_mm_2130 0.1460 ms 67.3% SingleProcess AUTOTUNE benchmarking takes 2.4383 seconds and 0.0009 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2220 0.0205 ms 100.0% triton_mm_2222 0.0205 ms 100.0% triton_mm_2223 0.0206 ms 99.4% triton_mm_2226 0.0216 ms 94.7% triton_mm_2217 0.0221 ms 92.6% triton_mm_2219 0.0222 ms 92.4% triton_mm_2227 0.0229 ms 89.5% triton_mm_2216 0.0229 ms 89.4% triton_mm_2218 0.0230 ms 89.1% triton_mm_2221 0.0230 ms 89.1% SingleProcess AUTOTUNE benchmarking takes 5.8440 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3539 ms 100.0% triton_mm_2263 0.3791 ms 93.4% triton_mm_2264 0.3862 ms 91.6% triton_mm_2265 0.3977 ms 89.0% triton_mm_2258 0.4758 ms 74.4% triton_mm_2260 0.4789 ms 73.9% triton_mm_2256 0.4813 ms 73.5% triton_mm_2259 0.5099 ms 69.4% triton_mm_2261 0.5212 ms 67.9% triton_mm_2257 0.5343 ms 66.2% SingleProcess AUTOTUNE benchmarking takes 2.5602 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_2198 0.0337 ms 96.3% triton_mm_2202 0.0362 ms 89.7% triton_mm_2206 0.0469 ms 69.2% triton_mm_2210 0.0581 ms 55.9% triton_mm_2197 0.0616 ms 52.7% triton_mm_2196 0.0652 ms 49.8% triton_mm_2201 0.0704 ms 46.1% triton_mm_2205 0.0727 ms 44.7% triton_mm_2195 0.0779 ms 41.7% SingleProcess AUTOTUNE benchmarking takes 2.0899 seconds and 0.0008 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2244 0.3761 ms 100.0% mm 0.3797 ms 99.0% triton_mm_2245 0.3931 ms 95.7% triton_mm_2246 0.4279 ms 87.9% triton_mm_2237 0.4622 ms 81.4% triton_mm_2239 0.4643 ms 81.0% triton_mm_2241 0.4751 ms 79.2% triton_mm_2238 0.4957 ms 75.9% triton_mm_2242 0.5336 ms 70.5% triton_mm_2240 0.5426 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5570 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3503 ms 100.0% triton_mm_2282 0.3642 ms 96.2% triton_mm_2283 0.3717 ms 94.3% triton_mm_2284 0.3814 ms 91.9% triton_mm_2277 0.4536 ms 77.2% triton_mm_2278 0.4686 ms 74.8% triton_mm_2275 0.4778 ms 73.3% triton_mm_2279 0.4799 ms 73.0% triton_mm_2276 0.5014 ms 69.9% triton_mm_2280 0.5168 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 2.5602 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2301 0.3720 ms 100.0% mm 0.3817 ms 97.5% triton_mm_2302 0.3839 ms 96.9% triton_mm_2303 0.4000 ms 93.0% triton_mm_2296 0.4664 ms 79.8% triton_mm_2294 0.4761 ms 78.1% triton_mm_2298 0.4775 ms 77.9% triton_mm_2297 0.5064 ms 73.5% triton_mm_2299 0.5230 ms 71.1% triton_mm_2295 0.5300 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5675 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2651 ms 100.0% triton_mm_2358 0.2742 ms 96.7% triton_mm_2359 0.2798 ms 94.7% triton_mm_2360 0.2893 ms 91.6% triton_mm_2353 0.3406 ms 77.8% triton_mm_2354 0.3492 ms 75.9% triton_mm_2351 0.3588 ms 73.9% triton_mm_2355 0.3611 ms 73.4% triton_mm_2352 0.3769 ms 70.3% triton_mm_2356 0.3886 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.5301 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2887 ms 100.0% mm 0.2907 ms 99.3% triton_mm_2378 0.2915 ms 99.1% triton_mm_2379 0.2978 ms 96.9% triton_mm_2370 0.3496 ms 82.6% triton_mm_2372 0.3498 ms 82.5% triton_mm_2374 0.3513 ms 82.2% triton_mm_2373 0.3801 ms 76.0% triton_mm_2375 0.3922 ms 73.6% triton_mm_2371 0.3972 ms 72.7% SingleProcess AUTOTUNE benchmarking takes 2.5312 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0938 ms 100.0% triton_mm_2341 0.1001 ms 93.7% triton_mm_2340 0.1090 ms 86.1% triton_mm_2334 0.1210 ms 77.5% triton_mm_2339 0.1216 ms 77.2% triton_mm_2336 0.1233 ms 76.1% triton_mm_2332 0.1234 ms 76.0% triton_mm_2335 0.1281 ms 73.2% triton_mm_2337 0.1317 ms 71.2% triton_mm_2333 0.1336 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.4201 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0985 ms 100.0% triton_mm_2320 0.0998 ms 98.7% triton_mm_2321 0.1029 ms 95.7% triton_mm_2322 0.1104 ms 89.2% triton_mm_2313 0.1236 ms 79.7% triton_mm_2317 0.1249 ms 78.8% triton_mm_2315 0.1252 ms 78.7% triton_mm_2314 0.1277 ms 77.1% triton_mm_2318 0.1363 ms 72.3% triton_mm_2316 0.1453 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 2.4248 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2406 0.0205 ms 100.0% triton_mm_2412 0.0216 ms 94.8% triton_mm_2408 0.0216 ms 94.8% triton_mm_2409 0.0220 ms 93.4% triton_mm_2410 0.0221 ms 92.9% triton_mm_2405 0.0221 ms 92.6% triton_mm_2403 0.0222 ms 92.5% triton_mm_2404 0.0224 ms 91.7% triton_mm_2411 0.0229 ms 89.7% triton_mm_2402 0.0230 ms 89.3% SingleProcess AUTOTUNE benchmarking takes 2.1276 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_2384 0.0337 ms 96.6% triton_mm_2388 0.0362 ms 89.9% triton_mm_2392 0.0469 ms 69.4% triton_mm_2396 0.0581 ms 56.0% triton_mm_2383 0.0608 ms 53.6% triton_mm_2382 0.0652 ms 49.9% triton_mm_2387 0.0704 ms 46.2% triton_mm_2391 0.0727 ms 44.8% triton_mm_2381 0.0770 ms 42.3% SingleProcess AUTOTUNE benchmarking takes 2.0894 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3767 ms 100.0% triton_mm_2430 0.3771 ms 99.9% triton_mm_2431 0.3926 ms 95.9% triton_mm_2432 0.4270 ms 88.2% triton_mm_2423 0.4631 ms 81.3% triton_mm_2425 0.4678 ms 80.5% triton_mm_2427 0.4768 ms 79.0% triton_mm_2424 0.4940 ms 76.3% triton_mm_2428 0.5324 ms 70.8% triton_mm_2426 0.5416 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5590 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3507 ms 100.0% triton_mm_2468 0.3632 ms 96.6% triton_mm_2469 0.3713 ms 94.5% triton_mm_2470 0.3817 ms 91.9% triton_mm_2463 0.4536 ms 77.3% triton_mm_2464 0.4689 ms 74.8% triton_mm_2461 0.4773 ms 73.5% triton_mm_2465 0.4796 ms 73.1% triton_mm_2462 0.5022 ms 69.8% triton_mm_2466 0.5194 ms 67.5% SingleProcess AUTOTUNE benchmarking takes 2.5595 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2487 0.3733 ms 100.0% mm 0.3825 ms 97.6% triton_mm_2488 0.3862 ms 96.7% triton_mm_2489 0.3986 ms 93.6% triton_mm_2482 0.4658 ms 80.1% triton_mm_2480 0.4765 ms 78.3% triton_mm_2484 0.4769 ms 78.3% triton_mm_2483 0.5093 ms 73.3% triton_mm_2485 0.5229 ms 71.4% triton_mm_2481 0.5302 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.5574 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0981 ms 100.0% triton_mm_2506 0.0996 ms 98.5% triton_mm_2507 0.1027 ms 95.5% triton_mm_2508 0.1103 ms 89.0% triton_mm_2503 0.1241 ms 79.1% triton_mm_2501 0.1243 ms 78.9% triton_mm_2499 0.1244 ms 78.9% triton_mm_2500 0.1284 ms 76.4% triton_mm_2504 0.1362 ms 72.0% triton_mm_2502 0.1465 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 2.4338 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2595 0.0206 ms 100.0% triton_mm_2591 0.0208 ms 98.9% triton_mm_2593 0.0217 ms 95.1% triton_mm_2588 0.0218 ms 94.6% triton_mm_2594 0.0218 ms 94.6% triton_mm_2592 0.0218 ms 94.4% triton_mm_2589 0.0222 ms 92.9% triton_mm_2599 0.0228 ms 90.2% triton_mm_2598 0.0229 ms 89.8% triton_mm_2596 0.0230 ms 89.6% SingleProcess AUTOTUNE benchmarking takes 2.1335 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_2570 0.0337 ms 96.1% triton_mm_2574 0.0362 ms 89.4% triton_mm_2578 0.0456 ms 71.1% triton_mm_2582 0.0595 ms 54.4% triton_mm_2569 0.0608 ms 53.3% triton_mm_2568 0.0660 ms 49.0% triton_mm_2573 0.0713 ms 45.4% triton_mm_2577 0.0719 ms 45.0% triton_mm_2567 0.0770 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.0843 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3760 ms 100.0% triton_mm_2616 0.3772 ms 99.7% triton_mm_2617 0.3932 ms 95.6% triton_mm_2618 0.4269 ms 88.1% triton_mm_2609 0.4608 ms 81.6% triton_mm_2611 0.4687 ms 80.2% triton_mm_2613 0.4744 ms 79.2% triton_mm_2610 0.4922 ms 76.4% triton_mm_2614 0.5327 ms 70.6% triton_mm_2612 0.5429 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5594 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3532 ms 100.0% triton_mm_2654 0.3628 ms 97.4% triton_mm_2655 0.3697 ms 95.5% triton_mm_2656 0.3840 ms 92.0% triton_mm_2649 0.4539 ms 77.8% triton_mm_2650 0.4680 ms 75.5% triton_mm_2647 0.4759 ms 74.2% triton_mm_2651 0.4785 ms 73.8% triton_mm_2648 0.5006 ms 70.6% triton_mm_2652 0.5203 ms 67.9% SingleProcess AUTOTUNE benchmarking takes 2.5707 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2673 0.3719 ms 100.0% mm 0.3824 ms 97.3% triton_mm_2674 0.3837 ms 96.9% triton_mm_2675 0.3983 ms 93.4% triton_mm_2668 0.4662 ms 79.8% triton_mm_2666 0.4764 ms 78.1% triton_mm_2670 0.4775 ms 77.9% triton_mm_2669 0.5054 ms 73.6% triton_mm_2671 0.5230 ms 71.1% triton_mm_2667 0.5302 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5667 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0972 ms 100.0% triton_mm_2692 0.0996 ms 97.6% triton_mm_2693 0.1036 ms 93.9% triton_mm_2694 0.1095 ms 88.7% triton_mm_2685 0.1234 ms 78.8% triton_mm_2689 0.1244 ms 78.1% triton_mm_2687 0.1251 ms 77.7% triton_mm_2686 0.1274 ms 76.3% triton_mm_2690 0.1370 ms 70.9% triton_mm_2688 0.1456 ms 66.8% SingleProcess AUTOTUNE benchmarking takes 2.4567 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3770 ms 100.0% triton_mm_2802 0.3775 ms 99.9% triton_mm_2803 0.3930 ms 95.9% triton_mm_2804 0.4275 ms 88.2% triton_mm_2795 0.4625 ms 81.5% triton_mm_2797 0.4671 ms 80.7% triton_mm_2799 0.4756 ms 79.3% triton_mm_2796 0.4964 ms 75.9% triton_mm_2800 0.5323 ms 70.8% triton_mm_2798 0.5434 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5615 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3532 ms 100.0% triton_mm_2840 0.3633 ms 97.2% triton_mm_2841 0.3701 ms 95.4% triton_mm_2842 0.3822 ms 92.4% triton_mm_2835 0.4537 ms 77.8% triton_mm_2836 0.4677 ms 75.5% triton_mm_2833 0.4764 ms 74.1% triton_mm_2837 0.4806 ms 73.5% triton_mm_2834 0.5008 ms 70.5% triton_mm_2838 0.5166 ms 68.4% SingleProcess AUTOTUNE benchmarking takes 2.5633 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2859 0.3717 ms 100.0% mm 0.3828 ms 97.1% triton_mm_2860 0.3836 ms 96.9% triton_mm_2861 0.3981 ms 93.4% triton_mm_2854 0.4659 ms 79.8% triton_mm_2852 0.4761 ms 78.1% triton_mm_2856 0.4775 ms 77.8% triton_mm_2855 0.5053 ms 73.6% triton_mm_2857 0.5228 ms 71.1% triton_mm_2853 0.5319 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5693 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0977 ms 100.0% triton_mm_2878 0.0996 ms 98.1% triton_mm_2879 0.1026 ms 95.2% triton_mm_2880 0.1103 ms 88.6% triton_mm_2875 0.1240 ms 78.8% triton_mm_2873 0.1242 ms 78.7% triton_mm_2871 0.1243 ms 78.6% triton_mm_2872 0.1286 ms 76.0% triton_mm_2876 0.1361 ms 71.8% triton_mm_2874 0.1464 ms 66.8% SingleProcess AUTOTUNE benchmarking takes 2.4414 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2988 0.3768 ms 100.0% mm 0.3778 ms 99.7% triton_mm_2989 0.3931 ms 95.8% triton_mm_2990 0.4268 ms 88.3% triton_mm_2981 0.4610 ms 81.7% triton_mm_2983 0.4676 ms 80.6% triton_mm_2985 0.4745 ms 79.4% triton_mm_2982 0.4926 ms 76.5% triton_mm_2986 0.5334 ms 70.6% triton_mm_2984 0.5448 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5634 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0975 ms 100.0% triton_mm_3064 0.1005 ms 97.1% triton_mm_3065 0.1036 ms 94.2% triton_mm_3066 0.1104 ms 88.3% triton_mm_3057 0.1233 ms 79.1% triton_mm_3061 0.1247 ms 78.2% triton_mm_3059 0.1251 ms 78.0% triton_mm_3058 0.1274 ms 76.5% triton_mm_3062 0.1369 ms 71.2% triton_mm_3060 0.1456 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 2.4347 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_3174 0.3771 ms 100.0% mm 0.3778 ms 99.8% triton_mm_3175 0.3945 ms 95.6% triton_mm_3176 0.4276 ms 88.2% triton_mm_3167 0.4623 ms 81.6% triton_mm_3169 0.4673 ms 80.7% triton_mm_3171 0.4747 ms 79.4% triton_mm_3168 0.4956 ms 76.1% triton_mm_3172 0.5330 ms 70.7% triton_mm_3170 0.5444 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5701 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3512 ms 100.0% triton_mm_3212 0.3645 ms 96.3% triton_mm_3213 0.3714 ms 94.6% triton_mm_3214 0.3812 ms 92.1% triton_mm_3207 0.4548 ms 77.2% triton_mm_3208 0.4694 ms 74.8% triton_mm_3205 0.4777 ms 73.5% triton_mm_3209 0.4807 ms 73.1% triton_mm_3206 0.5009 ms 70.1% triton_mm_3210 0.5174 ms 67.9% SingleProcess AUTOTUNE benchmarking takes 2.5698 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3231 0.3714 ms 100.0% mm 0.3825 ms 97.1% triton_mm_3232 0.3841 ms 96.7% triton_mm_3233 0.3985 ms 93.2% triton_mm_3226 0.4660 ms 79.7% triton_mm_3224 0.4756 ms 78.1% triton_mm_3228 0.4782 ms 77.7% triton_mm_3227 0.5053 ms 73.5% triton_mm_3229 0.5243 ms 70.8% triton_mm_3225 0.5312 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5698 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0981 ms 100.0% triton_mm_3250 0.0997 ms 98.4% triton_mm_3251 0.1027 ms 95.5% triton_mm_3252 0.1106 ms 88.7% triton_mm_3243 0.1235 ms 79.4% triton_mm_3247 0.1246 ms 78.7% triton_mm_3245 0.1252 ms 78.3% triton_mm_3244 0.1276 ms 76.9% triton_mm_3248 0.1372 ms 71.5% triton_mm_3246 0.1456 ms 67.4% SingleProcess AUTOTUNE benchmarking takes 2.4495 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3741 ms 100.0% triton_mm_3360 0.3775 ms 99.1% triton_mm_3361 0.3932 ms 95.2% triton_mm_3362 0.4275 ms 87.5% triton_mm_3353 0.4625 ms 80.9% triton_mm_3355 0.4668 ms 80.1% triton_mm_3357 0.4756 ms 78.7% triton_mm_3354 0.4964 ms 75.4% triton_mm_3358 0.5325 ms 70.3% triton_mm_3356 0.5435 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5622 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3509 ms 100.0% triton_mm_3398 0.3641 ms 96.4% triton_mm_3399 0.3719 ms 94.4% triton_mm_3400 0.3812 ms 92.1% triton_mm_3393 0.4545 ms 77.2% triton_mm_3394 0.4673 ms 75.1% triton_mm_3391 0.4778 ms 73.4% triton_mm_3395 0.4810 ms 73.0% triton_mm_3392 0.5024 ms 69.9% triton_mm_3396 0.5173 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 2.5643 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3417 0.3721 ms 100.0% mm 0.3822 ms 97.4% triton_mm_3418 0.3844 ms 96.8% triton_mm_3419 0.4000 ms 93.0% triton_mm_3412 0.4672 ms 79.6% triton_mm_3410 0.4765 ms 78.1% triton_mm_3414 0.4782 ms 77.8% triton_mm_3413 0.5059 ms 73.6% triton_mm_3415 0.5249 ms 70.9% triton_mm_3411 0.5324 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5665 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0972 ms 100.0% triton_mm_3436 0.0997 ms 97.5% triton_mm_3437 0.1027 ms 94.7% triton_mm_3438 0.1104 ms 88.1% triton_mm_3429 0.1234 ms 78.8% triton_mm_3433 0.1246 ms 78.0% triton_mm_3431 0.1251 ms 77.8% triton_mm_3430 0.1276 ms 76.2% triton_mm_3434 0.1370 ms 71.0% triton_mm_3432 0.1457 ms 66.8% SingleProcess AUTOTUNE benchmarking takes 2.4424 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3739 ms 100.0% triton_mm_3546 0.3764 ms 99.3% triton_mm_3547 0.3931 ms 95.1% triton_mm_3548 0.4274 ms 87.5% triton_mm_3539 0.4613 ms 81.1% triton_mm_3541 0.4674 ms 80.0% triton_mm_3543 0.4743 ms 78.8% triton_mm_3540 0.4900 ms 76.3% triton_mm_3544 0.5336 ms 70.1% triton_mm_3542 0.5448 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5680 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0972 ms 100.0% triton_mm_3622 0.1010 ms 96.2% triton_mm_3623 0.1039 ms 93.5% triton_mm_3624 0.1120 ms 86.7% triton_mm_3617 0.1252 ms 77.6% triton_mm_3619 0.1258 ms 77.3% triton_mm_3615 0.1259 ms 77.2% triton_mm_3616 0.1299 ms 74.8% triton_mm_3620 0.1386 ms 70.1% triton_mm_3618 0.1467 ms 66.2% SingleProcess AUTOTUNE benchmarking takes 2.4642 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0998 ms 100.0% triton_mm_3808 0.1020 ms 97.9% triton_mm_3809 0.1050 ms 95.1% triton_mm_3810 0.1105 ms 90.4% triton_mm_3801 0.1257 ms 79.4% triton_mm_3805 0.1260 ms 79.2% triton_mm_3803 0.1266 ms 78.9% triton_mm_3802 0.1298 ms 76.9% triton_mm_3806 0.1384 ms 72.1% triton_mm_3804 0.1469 ms 68.0% SingleProcess AUTOTUNE benchmarking takes 2.4600 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.1009 ms 100.0% triton_mm_4663 0.1052 ms 96.0% triton_mm_4655 0.1195 ms 84.5% triton_mm_4657 0.1200 ms 84.1% mm 0.1231 ms 82.0% triton_mm_4664 0.1291 ms 78.2% triton_mm_4656 0.1293 ms 78.0% triton_mm_4660 0.1346 ms 75.0% triton_mm_4659 0.1430 ms 70.6% triton_mm_4658 0.1560 ms 64.7% SingleProcess AUTOTUNE benchmarking takes 10.5088 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) mm 0.2321 ms 100.0% triton_mm_4700 0.2335 ms 99.4% triton_mm_4701 0.2409 ms 96.3% triton_mm_4702 0.2555 ms 90.9% triton_mm_4695 0.2903 ms 80.0% triton_mm_4693 0.2907 ms 79.8% triton_mm_4697 0.2967 ms 78.2% triton_mm_4696 0.3190 ms 72.8% triton_mm_4694 0.3237 ms 71.7% triton_mm_4698 0.3306 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 10.4449 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2396 ms 100.0% triton_mm_4719 0.2783 ms 86.1% triton_mm_4720 0.2853 ms 84.0% triton_mm_4721 0.2915 ms 82.2% triton_mm_4716 0.3110 ms 77.0% triton_mm_4712 0.3121 ms 76.8% triton_mm_4715 0.3184 ms 75.3% triton_mm_4714 0.3215 ms 74.5% triton_mm_4717 0.3260 ms 73.5% triton_mm_4713 0.3319 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 9.8436 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1638 ms 100.0% triton_mm_4757 0.1791 ms 91.4% triton_mm_4752 0.1810 ms 90.5% triton_mm_4750 0.1825 ms 89.8% triton_mm_4754 0.1825 ms 89.7% triton_mm_4758 0.1885 ms 86.9% triton_mm_4753 0.1915 ms 85.5% triton_mm_4759 0.1939 ms 84.5% triton_mm_4755 0.2022 ms 81.0% triton_mm_4751 0.2061 ms 79.4% SingleProcess AUTOTUNE benchmarking takes 9.8257 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0966 ms 100.0% triton_mm_4683 0.1004 ms 96.2% triton_mm_4682 0.1096 ms 88.1% triton_mm_4676 0.1174 ms 82.3% triton_mm_4681 0.1222 ms 79.0% triton_mm_4674 0.1224 ms 78.9% triton_mm_4678 0.1269 ms 76.1% triton_mm_4677 0.1286 ms 75.1% triton_mm_4679 0.1325 ms 72.9% triton_mm_4675 0.1346 ms 71.8% SingleProcess AUTOTUNE benchmarking takes 9.8704 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1464 ms 100.0% triton_mm_4738 0.1513 ms 96.8% triton_mm_4739 0.1566 ms 93.5% triton_mm_4740 0.1636 ms 89.5% triton_mm_4733 0.1868 ms 78.4% triton_mm_4731 0.1929 ms 75.9% triton_mm_4735 0.1929 ms 75.9% triton_mm_4734 0.2020 ms 72.5% triton_mm_4732 0.2035 ms 72.0% triton_mm_4736 0.2101 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.4904 seconds and 0.0009 seconds precompiling AUTOTUNE mm(1280x6840, 6840x32) mm 0.0323 ms 100.0% triton_mm_5887 0.0443 ms 72.8% triton_mm_5880 0.0453 ms 71.2% triton_mm_5878 0.0560 ms 57.6% triton_mm_5879 0.0656 ms 49.2% triton_mm_5886 0.0677 ms 47.6% triton_mm_5877 0.0682 ms 47.3% triton_mm_5883 0.0700 ms 46.0% triton_mm_5892 0.0704 ms 45.8% triton_mm_5891 0.0769 ms 42.0% SingleProcess AUTOTUNE benchmarking takes 6.5864 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_7 0.0286 ms 100.0% triton_mm_12 0.0295 ms 97.0% triton_mm_9 0.0302 ms 94.5% triton_mm_8 0.0307 ms 93.0% triton_mm_4 0.0308 ms 92.7% triton_mm_6 0.0308 ms 92.7% triton_mm_11 0.0310 ms 92.1% triton_mm_15 0.0315 ms 90.7% triton_mm_14 0.0316 ms 90.4% triton_mm_16 0.0324 ms 88.1% SingleProcess AUTOTUNE benchmarking takes 2.0334 seconds and 0.0166 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0275 ms 100.0% triton_mm_29 0.0278 ms 98.8% triton_mm_18 0.0281 ms 97.8% triton_mm_24 0.0295 ms 93.2% triton_mm_28 0.0296 ms 92.8% triton_mm_25 0.0302 ms 91.1% bias_addmm 0.0307 ms 89.5% triton_mm_21 0.0316 ms 87.0% triton_mm_20 0.0325 ms 84.5% triton_mm_19 0.0331 ms 83.2% SingleProcess AUTOTUNE benchmarking takes 2.1784 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_51 0.2990 ms 100.0% triton_mm_50 0.2999 ms 99.7% bias_addmm 0.3336 ms 89.6% triton_mm_52 0.3338 ms 89.6% triton_mm_45 0.3487 ms 85.8% triton_mm_43 0.3688 ms 81.1% triton_mm_47 0.3716 ms 80.5% triton_mm_44 0.4111 ms 72.7% triton_mm_48 0.4239 ms 70.5% triton_mm_46 0.4290 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.6794 seconds and 0.0130 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1028 ms 100.0% triton_mm_69 0.1063 ms 96.7% triton_mm_71 0.1141 ms 90.1% bias_addmm 0.1199 ms 85.7% triton_mm_64 0.1236 ms 83.2% addmm 0.1268 ms 81.1% triton_mm_66 0.1298 ms 79.2% triton_mm_62 0.1304 ms 78.8% triton_mm_63 0.1438 ms 71.5% triton_mm_67 0.1474 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5342 seconds and 0.0010 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.4005 ms 100.0% triton_mm_88 0.4042 ms 99.1% triton_mm_90 0.4482 ms 89.4% triton_mm_83 0.4688 ms 85.4% triton_mm_81 0.4985 ms 80.3% triton_mm_85 0.5008 ms 80.0% addmm 0.5154 ms 77.7% triton_mm_82 0.5521 ms 72.5% triton_mm_84 0.5640 ms 71.0% triton_mm_86 0.5668 ms 70.7% SingleProcess AUTOTUNE benchmarking takes 2.6802 seconds and 1.5242 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3686 ms 100.0% triton_mm_107 0.3875 ms 95.1% triton_mm_109 0.3935 ms 93.7% addmm 0.4282 ms 86.1% bias_addmm 0.4358 ms 84.6% triton_mm_102 0.4648 ms 79.3% triton_mm_103 0.4814 ms 76.6% triton_mm_100 0.4856 ms 75.9% triton_mm_104 0.4858 ms 75.9% triton_mm_105 0.5372 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.6879 seconds and 0.5085 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_126 0.0263 ms 100.0% triton_mm_122 0.0278 ms 94.5% triton_mm_111 0.0281 ms 93.6% triton_mm_117 0.0296 ms 88.9% triton_mm_121 0.0296 ms 88.9% bias_addmm 0.0306 ms 86.0% triton_mm_118 0.0307 ms 85.5% triton_mm_114 0.0315 ms 83.4% triton_mm_113 0.0325 ms 80.8% triton_mm_124 0.0334 ms 78.6% SingleProcess AUTOTUNE benchmarking takes 2.1879 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_144 0.2983 ms 100.0% triton_mm_143 0.2987 ms 99.9% bias_addmm 0.3320 ms 89.8% triton_mm_145 0.3357 ms 88.9% triton_mm_138 0.3504 ms 85.1% triton_mm_136 0.3696 ms 80.7% triton_mm_140 0.3722 ms 80.1% triton_mm_137 0.4108 ms 72.6% triton_mm_141 0.4217 ms 70.7% addmm 0.4250 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.6505 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_163 0.1029 ms 100.0% triton_mm_162 0.1065 ms 96.6% triton_mm_164 0.1142 ms 90.1% bias_addmm 0.1204 ms 85.5% triton_mm_157 0.1231 ms 83.6% addmm 0.1274 ms 80.8% triton_mm_159 0.1294 ms 79.5% triton_mm_155 0.1297 ms 79.4% triton_mm_156 0.1446 ms 71.2% triton_mm_160 0.1468 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5457 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3692 ms 100.0% triton_mm_200 0.3879 ms 95.2% triton_mm_202 0.3951 ms 93.5% addmm 0.3964 ms 93.1% bias_addmm 0.4358 ms 84.7% triton_mm_195 0.4648 ms 79.4% triton_mm_196 0.4829 ms 76.5% triton_mm_193 0.4855 ms 76.1% triton_mm_197 0.4861 ms 76.0% triton_mm_198 0.5405 ms 68.3% SingleProcess AUTOTUNE benchmarking takes 2.6881 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_219 0.0264 ms 100.0% triton_mm_204 0.0281 ms 94.0% triton_mm_215 0.0285 ms 92.7% triton_mm_210 0.0295 ms 89.4% triton_mm_214 0.0296 ms 89.2% triton_mm_211 0.0302 ms 87.4% bias_addmm 0.0315 ms 83.9% triton_mm_207 0.0316 ms 83.6% triton_mm_205 0.0330 ms 79.9% triton_mm_217 0.0334 ms 79.0% SingleProcess AUTOTUNE benchmarking takes 2.1827 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_237 0.2998 ms 100.0% triton_mm_236 0.3004 ms 99.8% bias_addmm 0.3320 ms 90.3% triton_mm_238 0.3352 ms 89.4% triton_mm_231 0.3491 ms 85.9% triton_mm_233 0.3725 ms 80.5% triton_mm_229 0.3732 ms 80.3% triton_mm_230 0.4125 ms 72.7% triton_mm_234 0.4224 ms 71.0% addmm 0.4249 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.6489 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_256 0.1029 ms 100.0% triton_mm_255 0.1059 ms 97.2% triton_mm_257 0.1142 ms 90.1% bias_addmm 0.1198 ms 85.9% triton_mm_250 0.1237 ms 83.2% addmm 0.1269 ms 81.1% triton_mm_252 0.1294 ms 79.5% triton_mm_248 0.1311 ms 78.5% triton_mm_249 0.1440 ms 71.5% triton_mm_253 0.1469 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5513 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_294 0.3702 ms 100.0% triton_mm_293 0.3879 ms 95.5% triton_mm_295 0.3940 ms 94.0% addmm 0.4282 ms 86.5% bias_addmm 0.4358 ms 85.0% triton_mm_288 0.4652 ms 79.6% triton_mm_289 0.4845 ms 76.4% triton_mm_290 0.4877 ms 75.9% triton_mm_286 0.4879 ms 75.9% triton_mm_291 0.5401 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.6928 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_312 0.0275 ms 100.0% triton_mm_308 0.0278 ms 98.8% triton_mm_297 0.0280 ms 98.1% triton_mm_303 0.0285 ms 96.3% triton_mm_307 0.0286 ms 96.0% triton_mm_304 0.0302 ms 90.9% triton_mm_300 0.0311 ms 88.5% triton_mm_299 0.0325 ms 84.5% bias_addmm 0.0326 ms 84.3% triton_mm_298 0.0330 ms 83.2% SingleProcess AUTOTUNE benchmarking takes 2.2118 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_330 0.2995 ms 100.0% triton_mm_329 0.2999 ms 99.9% bias_addmm 0.3345 ms 89.6% triton_mm_331 0.3357 ms 89.2% triton_mm_324 0.3517 ms 85.2% triton_mm_322 0.3710 ms 80.7% triton_mm_326 0.3731 ms 80.3% triton_mm_323 0.4123 ms 72.7% triton_mm_327 0.4230 ms 70.8% addmm 0.4266 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.6619 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_349 0.1030 ms 100.0% triton_mm_348 0.1066 ms 96.6% triton_mm_350 0.1142 ms 90.2% bias_addmm 0.1200 ms 85.8% triton_mm_343 0.1232 ms 83.6% addmm 0.1276 ms 80.7% triton_mm_341 0.1299 ms 79.3% triton_mm_345 0.1302 ms 79.1% triton_mm_342 0.1448 ms 71.1% triton_mm_346 0.1477 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.5616 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_387 0.3702 ms 100.0% triton_mm_386 0.3878 ms 95.5% triton_mm_388 0.3937 ms 94.0% addmm 0.4297 ms 86.2% bias_addmm 0.4373 ms 84.7% triton_mm_381 0.4651 ms 79.6% triton_mm_382 0.4846 ms 76.4% triton_mm_383 0.4880 ms 75.9% triton_mm_379 0.4880 ms 75.9% triton_mm_384 0.5401 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.6872 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_405 0.0263 ms 100.0% triton_mm_401 0.0278 ms 94.5% triton_mm_390 0.0281 ms 93.6% triton_mm_396 0.0295 ms 89.1% triton_mm_400 0.0296 ms 88.9% triton_mm_397 0.0302 ms 87.1% triton_mm_393 0.0310 ms 84.7% triton_mm_392 0.0325 ms 80.9% bias_addmm 0.0325 ms 80.8% triton_mm_403 0.0334 ms 78.7% SingleProcess AUTOTUNE benchmarking takes 2.2104 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_423 0.2986 ms 100.0% triton_mm_422 0.2991 ms 99.8% bias_addmm 0.3337 ms 89.5% triton_mm_424 0.3357 ms 88.9% triton_mm_417 0.3497 ms 85.4% triton_mm_415 0.3689 ms 80.9% triton_mm_419 0.3732 ms 80.0% triton_mm_416 0.4103 ms 72.8% triton_mm_420 0.4231 ms 70.6% addmm 0.4267 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.6677 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_442 0.1037 ms 100.0% triton_mm_441 0.1059 ms 98.0% triton_mm_443 0.1149 ms 90.2% bias_addmm 0.1193 ms 86.9% triton_mm_436 0.1243 ms 83.5% addmm 0.1275 ms 81.4% triton_mm_438 0.1297 ms 79.9% triton_mm_434 0.1304 ms 79.6% triton_mm_435 0.1446 ms 71.7% triton_mm_439 0.1468 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.5627 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_498 0.0274 ms 100.0% triton_mm_494 0.0278 ms 98.6% triton_mm_489 0.0286 ms 96.0% triton_mm_483 0.0291 ms 94.4% triton_mm_493 0.0295 ms 92.8% triton_mm_490 0.0307 ms 89.5% triton_mm_486 0.0310 ms 88.4% bias_addmm 0.0325 ms 84.4% triton_mm_496 0.0334 ms 82.2% triton_mm_485 0.0335 ms 81.8% SingleProcess AUTOTUNE benchmarking takes 2.2010 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_535 0.1038 ms 100.0% triton_mm_534 0.1066 ms 97.4% triton_mm_536 0.1150 ms 90.2% triton_mm_529 0.1237 ms 83.9% addmm 0.1290 ms 80.4% triton_mm_531 0.1300 ms 79.8% triton_mm_527 0.1305 ms 79.5% bias_addmm 0.1412 ms 73.5% triton_mm_528 0.1438 ms 72.2% triton_mm_532 0.1474 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.5467 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1600 ms 100.0% triton_mm_591 0.1618 ms 98.9% triton_mm_593 0.1786 ms 89.6% triton_mm_586 0.1903 ms 84.1% triton_mm_588 0.1989 ms 80.5% triton_mm_584 0.1993 ms 80.3% bias_addmm 0.2128 ms 75.2% triton_mm_585 0.2222 ms 72.0% triton_mm_589 0.2268 ms 70.5% addmm 0.2581 ms 62.0% SingleProcess AUTOTUNE benchmarking takes 11.1373 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_611 0.2416 ms 100.0% triton_mm_610 0.2422 ms 99.7% bias_addmm 0.2627 ms 92.0% triton_mm_612 0.2660 ms 90.8% triton_mm_605 0.2974 ms 81.2% addmm 0.3034 ms 79.6% triton_mm_603 0.3037 ms 79.6% triton_mm_607 0.3085 ms 78.3% triton_mm_606 0.3293 ms 73.4% triton_mm_608 0.3478 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.6433 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0911 ms 100.0% triton_mm_630 0.0931 ms 97.9% triton_mm_629 0.0984 ms 92.6% triton_mm_631 0.0986 ms 92.4% triton_mm_624 0.1127 ms 80.9% triton_mm_626 0.1141 ms 79.8% triton_mm_622 0.1161 ms 78.5% triton_mm_625 0.1283 ms 71.1% triton_mm_627 0.1329 ms 68.6% triton_mm_623 0.1336 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.4406 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_648 0.0273 ms 100.0% triton_mm_644 0.0278 ms 98.0% triton_mm_633 0.0281 ms 97.3% triton_mm_639 0.0295 ms 92.5% triton_mm_643 0.0296 ms 92.2% triton_mm_640 0.0302 ms 90.4% bias_addmm 0.0306 ms 89.1% triton_mm_636 0.0309 ms 88.2% triton_mm_635 0.0325 ms 83.9% triton_mm_634 0.0330 ms 82.7% SingleProcess AUTOTUNE benchmarking takes 2.2098 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_685 0.1028 ms 100.0% triton_mm_684 0.1066 ms 96.5% triton_mm_686 0.1141 ms 90.1% triton_mm_679 0.1236 ms 83.2% addmm 0.1276 ms 80.6% triton_mm_677 0.1296 ms 79.4% triton_mm_681 0.1299 ms 79.2% bias_addmm 0.1419 ms 72.5% triton_mm_678 0.1445 ms 71.2% triton_mm_682 0.1475 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.5504 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1938 0.0144 ms 100.0% triton_mm_1942 0.0157 ms 91.9% triton_mm_1946 0.0168 ms 85.8% triton_mm_1950 0.0182 ms 79.5% triton_mm_1937 0.0190 ms 76.1% triton_mm_1935 0.0190 ms 75.9% triton_mm_1936 0.0197 ms 73.2% triton_mm_1941 0.0202 ms 71.5% triton_mm_1945 0.0221 ms 65.4% triton_mm_1948 0.0232 ms 62.3% SingleProcess AUTOTUNE benchmarking takes 7.4107 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5460 ms 100.0% triton_mm_1968 2.5641 ms 99.3% triton_mm_1967 2.6199 ms 97.2% triton_mm_1969 2.8876 ms 88.2% triton_mm_1962 3.0670 ms 83.0% triton_mm_1964 3.2209 ms 79.0% addmm 3.2633 ms 78.0% triton_mm_1960 3.3403 ms 76.2% triton_mm_1965 3.6662 ms 69.4% triton_mm_1961 3.6723 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 12.2959 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.3258 ms 100.0% triton_mm_2006 2.3759 ms 97.9% mm 2.4073 ms 96.6% triton_mm_2007 2.4955 ms 93.2% triton_mm_2000 2.9929 ms 77.7% triton_mm_1998 3.0072 ms 77.3% triton_mm_2002 3.0864 ms 75.4% triton_mm_2001 3.1246 ms 74.4% triton_mm_2003 3.2435 ms 71.7% triton_mm_1999 3.3114 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 9.9972 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3604 ms 100.0% triton_mm_2077 0.3844 ms 93.8% triton_mm_2078 0.3908 ms 92.2% triton_mm_2079 0.4029 ms 89.5% triton_mm_2072 0.4809 ms 74.9% triton_mm_2074 0.4842 ms 74.4% triton_mm_2070 0.4852 ms 74.3% triton_mm_2073 0.5150 ms 70.0% triton_mm_2075 0.5284 ms 68.2% triton_mm_2071 0.5405 ms 66.7% SingleProcess AUTOTUNE benchmarking takes 9.7720 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2034 0.0123 ms 100.0% triton_mm_2036 0.0123 ms 100.0% triton_mm_2030 0.0124 ms 98.7% triton_mm_2031 0.0126 ms 97.2% triton_mm_2033 0.0126 ms 97.2% triton_mm_2032 0.0128 ms 95.5% triton_mm_2035 0.0128 ms 95.5% triton_mm_2038 0.0129 ms 95.0% triton_mm_2029 0.0135 ms 90.5% triton_mm_2037 0.0138 ms 89.1% SingleProcess AUTOTUNE benchmarking takes 6.0530 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2012 0.0171 ms 100.0% triton_mm_2016 0.0190 ms 89.6% mm 0.0193 ms 88.2% triton_mm_2020 0.0224 ms 76.3% triton_mm_2024 0.0252 ms 67.8% triton_mm_2011 0.0262 ms 65.2% triton_mm_2010 0.0274 ms 62.3% triton_mm_2019 0.0288 ms 59.2% triton_mm_2015 0.0294 ms 58.1% triton_mm_2009 0.0300 ms 56.8% SingleProcess AUTOTUNE benchmarking takes 7.3579 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3363 ms 100.0% triton_mm_1986 2.3491 ms 99.5% triton_mm_1987 2.3676 ms 98.7% triton_mm_1988 2.4320 ms 96.1% triton_mm_1982 3.0669 ms 76.2% triton_mm_1981 3.1859 ms 73.3% triton_mm_1979 3.2497 ms 71.9% triton_mm_1980 3.2627 ms 71.6% triton_mm_1984 3.3524 ms 69.7% triton_mm_1983 3.4754 ms 67.2% SingleProcess AUTOTUNE benchmarking takes 10.1564 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3800 ms 100.0% mm 0.3852 ms 98.6% triton_mm_2059 0.3966 ms 95.8% triton_mm_2060 0.4297 ms 88.4% triton_mm_2051 0.4664 ms 81.5% triton_mm_2053 0.4694 ms 80.9% triton_mm_2055 0.4798 ms 79.2% triton_mm_2052 0.5007 ms 75.9% triton_mm_2056 0.5333 ms 71.3% triton_mm_2054 0.5495 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5543 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3583 ms 100.0% triton_mm_2096 0.3669 ms 97.6% triton_mm_2097 0.3726 ms 96.2% triton_mm_2098 0.3841 ms 93.3% triton_mm_2091 0.4553 ms 78.7% triton_mm_2092 0.4699 ms 76.2% triton_mm_2089 0.4796 ms 74.7% triton_mm_2093 0.4824 ms 74.3% triton_mm_2090 0.5051 ms 70.9% triton_mm_2094 0.5213 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 9.7552 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3750 ms 100.0% mm 0.3869 ms 96.9% triton_mm_2116 0.3869 ms 96.9% triton_mm_2117 0.4010 ms 93.5% triton_mm_2110 0.4703 ms 79.7% triton_mm_2108 0.4790 ms 78.3% triton_mm_2112 0.4791 ms 78.3% triton_mm_2111 0.5091 ms 73.7% triton_mm_2113 0.5264 ms 71.2% triton_mm_2109 0.5350 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 10.0342 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2693 ms 100.0% triton_mm_2172 0.2764 ms 97.4% triton_mm_2173 0.2819 ms 95.5% triton_mm_2174 0.2923 ms 92.1% triton_mm_2167 0.3432 ms 78.5% triton_mm_2168 0.3527 ms 76.3% triton_mm_2165 0.3613 ms 74.5% triton_mm_2169 0.3642 ms 74.0% triton_mm_2166 0.3794 ms 71.0% triton_mm_2170 0.3907 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 10.1916 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2905 ms 100.0% triton_mm_2192 0.2934 ms 99.0% mm 0.2944 ms 98.7% triton_mm_2193 0.2992 ms 97.1% triton_mm_2184 0.3512 ms 82.7% triton_mm_2186 0.3523 ms 82.4% triton_mm_2188 0.3533 ms 82.2% triton_mm_2187 0.3810 ms 76.2% triton_mm_2189 0.3940 ms 73.7% triton_mm_2185 0.3998 ms 72.7% SingleProcess AUTOTUNE benchmarking takes 10.0955 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0932 ms 100.0% triton_mm_2155 0.0991 ms 94.1% triton_mm_2154 0.1081 ms 86.3% triton_mm_2153 0.1210 ms 77.0% triton_mm_2148 0.1214 ms 76.8% triton_mm_2146 0.1237 ms 75.4% triton_mm_2150 0.1237 ms 75.4% triton_mm_2149 0.1285 ms 72.5% triton_mm_2151 0.1312 ms 71.1% triton_mm_2147 0.1340 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 9.9632 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0974 ms 100.0% triton_mm_2134 0.0992 ms 98.1% triton_mm_2135 0.1028 ms 94.8% triton_mm_2136 0.1092 ms 89.2% triton_mm_2127 0.1232 ms 79.0% triton_mm_2131 0.1240 ms 78.5% triton_mm_2129 0.1241 ms 78.5% triton_mm_2128 0.1277 ms 76.2% triton_mm_2132 0.1375 ms 70.8% triton_mm_2130 0.1447 ms 67.3% SingleProcess AUTOTUNE benchmarking takes 10.9107 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2220 0.0204 ms 100.0% triton_mm_2217 0.0207 ms 98.3% triton_mm_2219 0.0207 ms 98.3% triton_mm_2222 0.0215 ms 94.8% triton_mm_2223 0.0216 ms 94.4% triton_mm_2221 0.0216 ms 94.2% triton_mm_2216 0.0218 ms 93.5% triton_mm_2224 0.0220 ms 92.9% triton_mm_2226 0.0226 ms 90.0% triton_mm_2225 0.0228 ms 89.3% SingleProcess AUTOTUNE benchmarking takes 6.0098 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3595 ms 100.0% triton_mm_2263 0.3840 ms 93.6% triton_mm_2264 0.3918 ms 91.8% triton_mm_2265 0.4032 ms 89.2% triton_mm_2258 0.4797 ms 74.9% triton_mm_2260 0.4838 ms 74.3% triton_mm_2256 0.4847 ms 74.2% triton_mm_2259 0.5148 ms 69.8% triton_mm_2261 0.5278 ms 68.1% triton_mm_2257 0.5398 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 2.5667 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0332 ms 100.0% triton_mm_2198 0.0335 ms 99.0% triton_mm_2202 0.0364 ms 91.0% triton_mm_2206 0.0466 ms 71.3% triton_mm_2210 0.0590 ms 56.3% triton_mm_2197 0.0616 ms 53.9% triton_mm_2196 0.0657 ms 50.5% triton_mm_2201 0.0716 ms 46.4% triton_mm_2205 0.0722 ms 46.0% triton_mm_2195 0.0770 ms 43.1% SingleProcess AUTOTUNE benchmarking takes 6.7786 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2244 0.3810 ms 100.0% mm 0.3837 ms 99.3% triton_mm_2245 0.3974 ms 95.9% triton_mm_2246 0.4309 ms 88.4% triton_mm_2237 0.4662 ms 81.7% triton_mm_2239 0.4713 ms 80.8% triton_mm_2241 0.4802 ms 79.4% triton_mm_2238 0.5014 ms 76.0% triton_mm_2242 0.5340 ms 71.4% triton_mm_2240 0.5501 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5670 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3547 ms 100.0% triton_mm_2282 0.3681 ms 96.4% triton_mm_2283 0.3739 ms 94.9% triton_mm_2284 0.3873 ms 91.6% triton_mm_2277 0.4592 ms 77.2% triton_mm_2278 0.4732 ms 75.0% triton_mm_2275 0.4817 ms 73.6% triton_mm_2279 0.4837 ms 73.3% triton_mm_2276 0.5066 ms 70.0% triton_mm_2280 0.5229 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 2.5671 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2301 0.3771 ms 100.0% mm 0.3879 ms 97.2% triton_mm_2302 0.3892 ms 96.9% triton_mm_2303 0.4028 ms 93.6% triton_mm_2296 0.4716 ms 79.9% triton_mm_2294 0.4807 ms 78.4% triton_mm_2298 0.4813 ms 78.3% triton_mm_2297 0.5115 ms 73.7% triton_mm_2299 0.5273 ms 71.5% triton_mm_2295 0.5359 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.5651 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2683 ms 100.0% triton_mm_2358 0.2763 ms 97.1% triton_mm_2359 0.2836 ms 94.6% triton_mm_2360 0.2942 ms 91.2% triton_mm_2353 0.3444 ms 77.9% triton_mm_2354 0.3546 ms 75.7% triton_mm_2351 0.3628 ms 73.9% triton_mm_2355 0.3664 ms 73.2% triton_mm_2352 0.3803 ms 70.5% triton_mm_2356 0.3917 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.5438 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2905 ms 100.0% mm 0.2941 ms 98.8% triton_mm_2378 0.2945 ms 98.6% triton_mm_2379 0.3008 ms 96.6% triton_mm_2370 0.3518 ms 82.6% triton_mm_2372 0.3546 ms 81.9% triton_mm_2374 0.3547 ms 81.9% triton_mm_2373 0.3833 ms 75.8% triton_mm_2375 0.3953 ms 73.5% triton_mm_2371 0.4019 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5443 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0975 ms 100.0% triton_mm_2320 0.0993 ms 98.2% triton_mm_2321 0.1028 ms 94.8% triton_mm_2322 0.1099 ms 88.7% triton_mm_2315 0.1241 ms 78.6% triton_mm_2317 0.1247 ms 78.2% triton_mm_2313 0.1248 ms 78.2% triton_mm_2314 0.1294 ms 75.3% triton_mm_2318 0.1374 ms 70.9% triton_mm_2316 0.1455 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 2.4492 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2406 0.0204 ms 100.0% triton_mm_2408 0.0204 ms 100.0% triton_mm_2409 0.0205 ms 99.4% triton_mm_2405 0.0208 ms 98.3% triton_mm_2412 0.0216 ms 94.5% triton_mm_2403 0.0219 ms 93.3% triton_mm_2410 0.0220 ms 92.9% triton_mm_2404 0.0223 ms 91.5% triton_mm_2407 0.0227 ms 90.0% triton_mm_2402 0.0228 ms 89.7% SingleProcess AUTOTUNE benchmarking takes 2.1390 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3804 ms 100.0% triton_mm_2430 0.3828 ms 99.4% triton_mm_2431 0.3981 ms 95.5% triton_mm_2432 0.4303 ms 88.4% triton_mm_2423 0.4679 ms 81.3% triton_mm_2425 0.4726 ms 80.5% triton_mm_2427 0.4835 ms 78.7% triton_mm_2424 0.5024 ms 75.7% triton_mm_2428 0.5377 ms 70.7% triton_mm_2426 0.5502 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5636 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3564 ms 100.0% triton_mm_2468 0.3687 ms 96.6% triton_mm_2469 0.3746 ms 95.1% triton_mm_2470 0.3885 ms 91.7% triton_mm_2463 0.4600 ms 77.5% triton_mm_2464 0.4716 ms 75.6% triton_mm_2461 0.4785 ms 74.5% triton_mm_2465 0.4846 ms 73.5% triton_mm_2462 0.5084 ms 70.1% triton_mm_2466 0.5249 ms 67.9% SingleProcess AUTOTUNE benchmarking takes 2.5691 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2487 0.3772 ms 100.0% mm 0.3870 ms 97.5% triton_mm_2488 0.3896 ms 96.8% triton_mm_2489 0.4029 ms 93.6% triton_mm_2482 0.4723 ms 79.9% triton_mm_2480 0.4807 ms 78.5% triton_mm_2484 0.4822 ms 78.2% triton_mm_2483 0.5120 ms 73.7% triton_mm_2485 0.5297 ms 71.2% triton_mm_2481 0.5367 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5646 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2688 ms 100.0% triton_mm_2544 0.2767 ms 97.1% triton_mm_2545 0.2836 ms 94.8% triton_mm_2546 0.2940 ms 91.4% triton_mm_2539 0.3459 ms 77.7% triton_mm_2540 0.3555 ms 75.6% triton_mm_2537 0.3633 ms 74.0% triton_mm_2541 0.3671 ms 73.2% triton_mm_2538 0.3802 ms 70.7% triton_mm_2542 0.3920 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5416 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2912 ms 100.0% triton_mm_2564 0.2946 ms 98.8% mm 0.2948 ms 98.8% triton_mm_2565 0.3011 ms 96.7% triton_mm_2556 0.3534 ms 82.4% triton_mm_2558 0.3538 ms 82.3% triton_mm_2560 0.3562 ms 81.8% triton_mm_2559 0.3835 ms 75.9% triton_mm_2561 0.3964 ms 73.5% triton_mm_2557 0.4018 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5442 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0980 ms 100.0% triton_mm_2506 0.1000 ms 98.0% triton_mm_2507 0.1029 ms 95.3% triton_mm_2508 0.1100 ms 89.1% triton_mm_2499 0.1235 ms 79.4% triton_mm_2503 0.1242 ms 78.9% triton_mm_2501 0.1249 ms 78.5% triton_mm_2500 0.1286 ms 76.2% triton_mm_2504 0.1376 ms 71.2% triton_mm_2502 0.1454 ms 67.4% SingleProcess AUTOTUNE benchmarking takes 2.4454 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2673 0.3776 ms 100.0% mm 0.3891 ms 97.1% triton_mm_2674 0.3903 ms 96.7% triton_mm_2675 0.4025 ms 93.8% triton_mm_2668 0.4736 ms 79.7% triton_mm_2666 0.4810 ms 78.5% triton_mm_2670 0.4829 ms 78.2% triton_mm_2669 0.5128 ms 73.6% triton_mm_2671 0.5302 ms 71.2% triton_mm_2667 0.5369 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5674 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2859 0.3769 ms 100.0% mm 0.3840 ms 98.2% triton_mm_2860 0.3892 ms 96.8% triton_mm_2861 0.4020 ms 93.8% triton_mm_2854 0.4728 ms 79.7% triton_mm_2852 0.4812 ms 78.3% triton_mm_2856 0.4812 ms 78.3% triton_mm_2855 0.5130 ms 73.5% triton_mm_2857 0.5277 ms 71.4% triton_mm_2853 0.5358 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5713 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3045 0.3768 ms 100.0% mm 0.3880 ms 97.1% triton_mm_3046 0.3888 ms 96.9% triton_mm_3047 0.4013 ms 93.9% triton_mm_3040 0.4698 ms 80.2% triton_mm_3038 0.4792 ms 78.6% triton_mm_3042 0.4810 ms 78.3% triton_mm_3041 0.5112 ms 73.7% triton_mm_3043 0.5265 ms 71.6% triton_mm_3039 0.5366 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5719 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3231 0.3767 ms 100.0% mm 0.3875 ms 97.2% triton_mm_3232 0.3888 ms 96.9% triton_mm_3233 0.4014 ms 93.9% triton_mm_3226 0.4705 ms 80.1% triton_mm_3224 0.4789 ms 78.7% triton_mm_3228 0.4802 ms 78.5% triton_mm_3227 0.5109 ms 73.7% triton_mm_3229 0.5264 ms 71.6% triton_mm_3225 0.5357 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5761 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3417 0.3750 ms 100.0% mm 0.3872 ms 96.9% triton_mm_3418 0.3878 ms 96.7% triton_mm_3419 0.4027 ms 93.1% triton_mm_3412 0.4718 ms 79.5% triton_mm_3410 0.4789 ms 78.3% triton_mm_3414 0.4812 ms 77.9% triton_mm_3413 0.5112 ms 73.3% triton_mm_3415 0.5284 ms 71.0% triton_mm_3411 0.5370 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5714 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3603 0.3750 ms 100.0% mm 0.3868 ms 96.9% triton_mm_3604 0.3876 ms 96.7% triton_mm_3605 0.4025 ms 93.2% triton_mm_3598 0.4722 ms 79.4% triton_mm_3596 0.4796 ms 78.2% triton_mm_3600 0.4809 ms 78.0% triton_mm_3599 0.5108 ms 73.4% triton_mm_3601 0.5280 ms 71.0% triton_mm_3597 0.5352 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5693 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3789 0.3772 ms 100.0% mm 0.3879 ms 97.2% triton_mm_3790 0.3885 ms 97.1% triton_mm_3791 0.4013 ms 94.0% triton_mm_3784 0.4726 ms 79.8% triton_mm_3782 0.4808 ms 78.5% triton_mm_3786 0.4820 ms 78.3% triton_mm_3785 0.5129 ms 73.5% triton_mm_3787 0.5294 ms 71.2% triton_mm_3783 0.5358 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.5696 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3975 0.3769 ms 100.0% mm 0.3876 ms 97.2% triton_mm_3976 0.3886 ms 97.0% triton_mm_3977 0.4017 ms 93.8% triton_mm_3970 0.4709 ms 80.0% triton_mm_3968 0.4800 ms 78.5% triton_mm_3972 0.4809 ms 78.4% triton_mm_3971 0.5119 ms 73.6% triton_mm_3973 0.5284 ms 71.3% triton_mm_3969 0.5354 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.5703 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_4161 0.3768 ms 100.0% mm 0.3875 ms 97.2% triton_mm_4162 0.3889 ms 96.9% triton_mm_4163 0.4017 ms 93.8% triton_mm_4156 0.4716 ms 79.9% triton_mm_4154 0.4787 ms 78.7% triton_mm_4158 0.4811 ms 78.3% triton_mm_4157 0.5116 ms 73.7% triton_mm_4159 0.5286 ms 71.3% triton_mm_4155 0.5363 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5743 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_4347 0.3748 ms 100.0% mm 0.3872 ms 96.8% triton_mm_4348 0.3872 ms 96.8% triton_mm_4349 0.4025 ms 93.1% triton_mm_4342 0.4717 ms 79.5% triton_mm_4340 0.4790 ms 78.3% triton_mm_4344 0.4802 ms 78.1% triton_mm_4343 0.5111 ms 73.3% triton_mm_4345 0.5280 ms 71.0% triton_mm_4341 0.5355 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.5741 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_4533 0.3765 ms 100.0% triton_mm_4534 0.3884 ms 96.9% mm 0.3893 ms 96.7% triton_mm_4535 0.4039 ms 93.2% triton_mm_4528 0.4731 ms 79.6% triton_mm_4526 0.4806 ms 78.3% triton_mm_4530 0.4827 ms 78.0% triton_mm_4529 0.5109 ms 73.7% triton_mm_4531 0.5300 ms 71.0% triton_mm_4527 0.5363 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5825 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.1003 ms 100.0% triton_mm_4663 0.1037 ms 96.8% triton_mm_4655 0.1183 ms 84.8% triton_mm_4659 0.1185 ms 84.7% triton_mm_4657 0.1201 ms 83.5% mm 0.1221 ms 82.2% triton_mm_4656 0.1287 ms 78.0% triton_mm_4664 0.1298 ms 77.3% triton_mm_4660 0.1330 ms 75.4% triton_mm_4658 0.1560 ms 64.3% SingleProcess AUTOTUNE benchmarking takes 10.8230 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) mm 0.2351 ms 100.0% triton_mm_4700 0.2358 ms 99.7% triton_mm_4701 0.2464 ms 95.4% triton_mm_4702 0.2604 ms 90.3% triton_mm_4695 0.2953 ms 79.6% triton_mm_4693 0.2989 ms 78.6% triton_mm_4697 0.3027 ms 77.7% triton_mm_4696 0.3220 ms 73.0% triton_mm_4694 0.3282 ms 71.6% triton_mm_4698 0.3342 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 12.8096 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2414 ms 100.0% triton_mm_4719 0.2817 ms 85.7% triton_mm_4720 0.2891 ms 83.5% triton_mm_4721 0.2944 ms 82.0% triton_mm_4716 0.3128 ms 77.2% triton_mm_4712 0.3148 ms 76.7% triton_mm_4714 0.3216 ms 75.0% triton_mm_4715 0.3252 ms 74.2% triton_mm_4717 0.3296 ms 73.2% triton_mm_4713 0.3347 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 10.5187 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1653 ms 100.0% triton_mm_4757 0.1801 ms 91.8% triton_mm_4752 0.1825 ms 90.6% triton_mm_4750 0.1835 ms 90.1% triton_mm_4754 0.1838 ms 90.0% triton_mm_4758 0.1889 ms 87.5% triton_mm_4753 0.1930 ms 85.7% triton_mm_4759 0.1944 ms 85.0% triton_mm_4755 0.2058 ms 80.4% triton_mm_4751 0.2073 ms 79.8% SingleProcess AUTOTUNE benchmarking takes 10.3846 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0957 ms 100.0% triton_mm_4683 0.1014 ms 94.4% triton_mm_4682 0.1103 ms 86.8% triton_mm_4676 0.1190 ms 80.4% triton_mm_4681 0.1216 ms 78.7% triton_mm_4674 0.1241 ms 77.2% triton_mm_4678 0.1253 ms 76.4% triton_mm_4677 0.1280 ms 74.8% triton_mm_4679 0.1336 ms 71.7% triton_mm_4675 0.1350 ms 70.9% SingleProcess AUTOTUNE benchmarking takes 10.3452 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1487 ms 100.0% triton_mm_4738 0.1512 ms 98.4% triton_mm_4739 0.1571 ms 94.7% triton_mm_4740 0.1642 ms 90.6% triton_mm_4733 0.1902 ms 78.2% triton_mm_4735 0.1959 ms 75.9% triton_mm_4731 0.1969 ms 75.5% triton_mm_4734 0.2046 ms 72.7% triton_mm_4732 0.2061 ms 72.1% triton_mm_4736 0.2106 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.5045 seconds and 0.0010 seconds precompiling AUTOTUNE mm(1280x6840, 6840x32) mm 0.0334 ms 100.0% triton_mm_5880 0.0452 ms 74.0% triton_mm_5887 0.0452 ms 74.0% triton_mm_5878 0.0555 ms 60.2% triton_mm_5879 0.0639 ms 52.3% triton_mm_5886 0.0664 ms 50.3% triton_mm_5877 0.0684 ms 48.8% triton_mm_5883 0.0700 ms 47.8% triton_mm_5892 0.0705 ms 47.4% triton_mm_5891 0.0755 ms 44.3% SingleProcess AUTOTUNE benchmarking takes 7.0435 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_7 0.0285 ms 100.0% triton_mm_8 0.0298 ms 95.6% triton_mm_6 0.0299 ms 95.4% triton_mm_9 0.0304 ms 93.8% triton_mm_11 0.0304 ms 93.7% triton_mm_12 0.0305 ms 93.5% triton_mm_14 0.0317 ms 89.9% triton_mm_16 0.0317 ms 89.9% triton_mm_10 0.0317 ms 89.8% triton_mm_4 0.0318 ms 89.6% SingleProcess AUTOTUNE benchmarking takes 2.1622 seconds and 0.0171 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0274 ms 100.0% triton_mm_29 0.0277 ms 98.6% triton_mm_28 0.0285 ms 96.1% triton_mm_18 0.0290 ms 94.4% triton_mm_24 0.0294 ms 92.9% bias_addmm 0.0296 ms 92.4% triton_mm_25 0.0306 ms 89.5% triton_mm_21 0.0311 ms 88.0% triton_mm_20 0.0325 ms 84.2% triton_mm_27 0.0334 ms 81.8% SingleProcess AUTOTUNE benchmarking takes 2.1779 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_50 0.3004 ms 100.0% triton_mm_51 0.3027 ms 99.2% bias_addmm 0.3347 ms 89.8% triton_mm_52 0.3388 ms 88.7% triton_mm_45 0.3551 ms 84.6% triton_mm_43 0.3714 ms 80.9% triton_mm_47 0.3740 ms 80.3% triton_mm_44 0.4166 ms 72.1% addmm 0.4246 ms 70.8% triton_mm_48 0.4292 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.7247 seconds and 0.0227 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1034 ms 100.0% triton_mm_69 0.1070 ms 96.6% triton_mm_71 0.1149 ms 90.0% bias_addmm 0.1198 ms 86.3% triton_mm_64 0.1248 ms 82.8% addmm 0.1299 ms 79.6% triton_mm_66 0.1308 ms 79.0% triton_mm_62 0.1318 ms 78.4% triton_mm_63 0.1445 ms 71.5% triton_mm_67 0.1475 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5389 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.4031 ms 100.0% triton_mm_88 0.4075 ms 98.9% triton_mm_90 0.4520 ms 89.2% triton_mm_83 0.4709 ms 85.6% triton_mm_81 0.4985 ms 80.9% triton_mm_85 0.5037 ms 80.0% triton_mm_82 0.5537 ms 72.8% addmm 0.5678 ms 71.0% triton_mm_84 0.5680 ms 71.0% triton_mm_86 0.5723 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.6832 seconds and 0.7320 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3691 ms 100.0% triton_mm_107 0.3868 ms 95.4% addmm 0.3899 ms 94.7% triton_mm_109 0.3919 ms 94.2% bias_addmm 0.4357 ms 84.7% triton_mm_102 0.4638 ms 79.6% triton_mm_103 0.4847 ms 76.1% triton_mm_104 0.4855 ms 76.0% triton_mm_100 0.4882 ms 75.6% triton_mm_105 0.5398 ms 68.4% SingleProcess AUTOTUNE benchmarking takes 2.6888 seconds and 0.6968 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_126 0.0263 ms 100.0% triton_mm_122 0.0284 ms 92.7% triton_mm_121 0.0285 ms 92.4% triton_mm_117 0.0285 ms 92.3% triton_mm_111 0.0291 ms 90.3% bias_addmm 0.0296 ms 88.9% triton_mm_118 0.0306 ms 85.9% triton_mm_114 0.0316 ms 83.2% triton_mm_113 0.0325 ms 80.9% triton_mm_112 0.0329 ms 80.0% SingleProcess AUTOTUNE benchmarking takes 2.1908 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3693 ms 100.0% triton_mm_200 0.3870 ms 95.4% triton_mm_202 0.3907 ms 94.5% addmm 0.4271 ms 86.5% bias_addmm 0.4349 ms 84.9% triton_mm_195 0.4624 ms 79.9% triton_mm_196 0.4831 ms 76.5% triton_mm_197 0.4850 ms 76.2% triton_mm_193 0.4867 ms 75.9% triton_mm_198 0.5386 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.6794 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_219 0.0275 ms 100.0% triton_mm_215 0.0277 ms 99.3% triton_mm_210 0.0285 ms 96.3% triton_mm_204 0.0291 ms 94.4% triton_mm_214 0.0294 ms 93.5% triton_mm_211 0.0302 ms 91.0% triton_mm_207 0.0316 ms 87.0% bias_addmm 0.0325 ms 84.5% triton_mm_206 0.0335 ms 82.1% triton_mm_205 0.0339 ms 81.0% SingleProcess AUTOTUNE benchmarking takes 2.2115 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_312 0.0262 ms 100.0% triton_mm_308 0.0277 ms 94.6% triton_mm_297 0.0291 ms 90.3% triton_mm_307 0.0294 ms 89.2% triton_mm_303 0.0294 ms 89.1% triton_mm_304 0.0302 ms 86.9% triton_mm_300 0.0316 ms 83.1% bias_addmm 0.0324 ms 80.9% triton_mm_299 0.0325 ms 80.7% triton_mm_310 0.0333 ms 78.8% SingleProcess AUTOTUNE benchmarking takes 2.2053 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1602 ms 100.0% triton_mm_591 0.1614 ms 99.2% triton_mm_593 0.1776 ms 90.2% triton_mm_586 0.1888 ms 84.8% triton_mm_588 0.1985 ms 80.7% triton_mm_584 0.1988 ms 80.6% bias_addmm 0.2141 ms 74.8% addmm 0.2203 ms 72.7% triton_mm_585 0.2206 ms 72.6% triton_mm_589 0.2260 ms 70.9% SingleProcess AUTOTUNE benchmarking takes 2.6140 seconds and 0.0146 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_610 0.2399 ms 100.0% triton_mm_611 0.2404 ms 99.8% bias_addmm 0.2589 ms 92.6% triton_mm_612 0.2639 ms 90.9% triton_mm_605 0.2956 ms 81.1% addmm 0.3003 ms 79.9% triton_mm_603 0.3027 ms 79.2% triton_mm_607 0.3052 ms 78.6% triton_mm_606 0.3300 ms 72.7% triton_mm_608 0.3460 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.6527 seconds and 0.0011 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0907 ms 100.0% triton_mm_630 0.0936 ms 97.0% triton_mm_631 0.0987 ms 91.9% triton_mm_629 0.0990 ms 91.7% triton_mm_624 0.1117 ms 81.2% triton_mm_626 0.1134 ms 80.0% triton_mm_622 0.1151 ms 78.8% triton_mm_625 0.1276 ms 71.1% triton_mm_627 0.1320 ms 68.7% triton_mm_623 0.1330 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.4401 seconds and 0.0011 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1942 0.0145 ms 100.0% triton_mm_1938 0.0153 ms 95.0% triton_mm_1946 0.0170 ms 85.7% triton_mm_1950 0.0174 ms 83.5% triton_mm_1937 0.0189 ms 76.8% triton_mm_1936 0.0198 ms 73.3% triton_mm_1935 0.0200 ms 72.7% triton_mm_1941 0.0202 ms 71.9% triton_mm_1945 0.0222 ms 65.3% triton_mm_1948 0.0224 ms 64.9% SingleProcess AUTOTUNE benchmarking takes 7.5690 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5156 ms 100.0% triton_mm_1968 2.5658 ms 98.0% triton_mm_1967 2.5880 ms 97.2% triton_mm_1969 2.8889 ms 87.1% triton_mm_1962 3.0685 ms 82.0% triton_mm_1964 3.2184 ms 78.2% addmm 3.2594 ms 77.2% triton_mm_1960 3.3066 ms 76.1% triton_mm_1963 3.6587 ms 68.8% triton_mm_1965 3.6652 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 12.2936 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.3226 ms 100.0% triton_mm_2006 2.3742 ms 97.8% mm 2.4076 ms 96.5% triton_mm_2007 2.4634 ms 94.3% triton_mm_2000 2.9604 ms 78.5% triton_mm_1998 2.9726 ms 78.1% triton_mm_2002 3.0573 ms 76.0% triton_mm_2001 3.1267 ms 74.3% triton_mm_2003 3.2100 ms 72.4% triton_mm_1999 3.3010 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 9.9967 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3563 ms 100.0% triton_mm_2077 0.3801 ms 93.7% triton_mm_2078 0.3864 ms 92.2% triton_mm_2079 0.3982 ms 89.5% triton_mm_2072 0.4753 ms 74.9% triton_mm_2074 0.4791 ms 74.4% triton_mm_2070 0.4823 ms 73.9% triton_mm_2073 0.5083 ms 70.1% triton_mm_2075 0.5212 ms 68.4% triton_mm_2071 0.5339 ms 66.7% SingleProcess AUTOTUNE benchmarking takes 9.8740 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2033 0.0127 ms 100.0% triton_mm_2040 0.0127 ms 99.7% triton_mm_2039 0.0128 ms 98.8% triton_mm_2037 0.0129 ms 98.3% triton_mm_2030 0.0134 ms 94.9% triton_mm_2034 0.0136 ms 93.4% triton_mm_2036 0.0136 ms 93.4% triton_mm_2031 0.0136 ms 93.1% triton_mm_2038 0.0136 ms 93.0% triton_mm_2032 0.0139 ms 91.0% SingleProcess AUTOTUNE benchmarking takes 5.9766 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2012 0.0170 ms 100.0% triton_mm_2016 0.0179 ms 95.0% mm 0.0193 ms 88.0% triton_mm_2020 0.0224 ms 75.8% triton_mm_2011 0.0260 ms 65.1% triton_mm_2024 0.0263 ms 64.5% triton_mm_2010 0.0265 ms 64.1% triton_mm_2019 0.0286 ms 59.2% triton_mm_2015 0.0291 ms 58.2% triton_mm_2009 0.0308 ms 55.1% SingleProcess AUTOTUNE benchmarking takes 7.2574 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3129 ms 100.0% triton_mm_1986 2.3374 ms 98.9% triton_mm_1987 2.3385 ms 98.9% triton_mm_1988 2.4036 ms 96.2% triton_mm_1982 3.0558 ms 75.7% triton_mm_1981 3.1565 ms 73.3% triton_mm_1979 3.2140 ms 72.0% triton_mm_1980 3.2505 ms 71.2% triton_mm_1984 3.3173 ms 69.7% triton_mm_1983 3.4645 ms 66.8% SingleProcess AUTOTUNE benchmarking takes 2.9992 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3759 ms 100.0% mm 0.3791 ms 99.1% triton_mm_2059 0.3937 ms 95.5% triton_mm_2060 0.4257 ms 88.3% triton_mm_2051 0.4610 ms 81.5% triton_mm_2053 0.4668 ms 80.5% triton_mm_2055 0.4770 ms 78.8% triton_mm_2052 0.4944 ms 76.0% triton_mm_2056 0.5324 ms 70.6% triton_mm_2054 0.5482 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5565 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) triton_mm_2096 0.3624 ms 100.0% triton_mm_2097 0.3700 ms 97.9% triton_mm_2098 0.3810 ms 95.1% mm 0.3931 ms 92.2% triton_mm_2091 0.4528 ms 80.0% triton_mm_2092 0.4665 ms 77.7% triton_mm_2089 0.4746 ms 76.4% triton_mm_2093 0.4776 ms 75.9% triton_mm_2090 0.5000 ms 72.5% triton_mm_2094 0.5167 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5108 seconds and 1.7828 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3715 ms 100.0% mm 0.3841 ms 96.7% triton_mm_2116 0.3843 ms 96.7% triton_mm_2117 0.3971 ms 93.5% triton_mm_2110 0.4661 ms 79.7% triton_mm_2108 0.4740 ms 78.4% triton_mm_2112 0.4745 ms 78.3% triton_mm_2111 0.5057 ms 73.5% triton_mm_2113 0.5226 ms 71.1% triton_mm_2109 0.5297 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5619 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2172 0.2736 ms 100.0% triton_mm_2173 0.2806 ms 97.5% triton_mm_2174 0.2893 ms 94.6% mm 0.3010 ms 90.9% triton_mm_2167 0.3409 ms 80.3% triton_mm_2168 0.3477 ms 78.7% triton_mm_2165 0.3583 ms 76.4% triton_mm_2169 0.3618 ms 75.6% triton_mm_2166 0.3769 ms 72.6% triton_mm_2170 0.3882 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 9.8742 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2873 ms 100.0% triton_mm_2192 0.2907 ms 98.9% mm 0.2914 ms 98.6% triton_mm_2193 0.2966 ms 96.9% triton_mm_2186 0.3488 ms 82.4% triton_mm_2184 0.3494 ms 82.2% triton_mm_2188 0.3513 ms 81.8% triton_mm_2187 0.3784 ms 75.9% triton_mm_2189 0.3907 ms 73.5% triton_mm_2185 0.3968 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 2.5360 seconds and 0.0010 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0930 ms 100.0% triton_mm_2155 0.0991 ms 93.8% triton_mm_2154 0.1088 ms 85.5% triton_mm_2148 0.1208 ms 77.0% triton_mm_2153 0.1214 ms 76.6% triton_mm_2150 0.1230 ms 75.6% triton_mm_2146 0.1232 ms 75.5% triton_mm_2149 0.1275 ms 73.0% triton_mm_2151 0.1310 ms 71.0% triton_mm_2147 0.1346 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 9.6199 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0972 ms 100.0% triton_mm_2134 0.0999 ms 97.4% triton_mm_2135 0.1022 ms 95.1% triton_mm_2136 0.1089 ms 89.3% triton_mm_2127 0.1227 ms 79.3% triton_mm_2131 0.1235 ms 78.7% triton_mm_2129 0.1244 ms 78.2% triton_mm_2128 0.1271 ms 76.5% triton_mm_2132 0.1368 ms 71.1% triton_mm_2130 0.1447 ms 67.2% SingleProcess AUTOTUNE benchmarking takes 2.4393 seconds and 0.0010 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2222 0.0205 ms 100.0% triton_mm_2223 0.0205 ms 100.0% triton_mm_2217 0.0210 ms 97.7% triton_mm_2219 0.0210 ms 97.6% triton_mm_2220 0.0216 ms 95.0% triton_mm_2221 0.0216 ms 94.8% triton_mm_2216 0.0220 ms 93.4% triton_mm_2224 0.0220 ms 93.3% triton_mm_2226 0.0227 ms 90.4% triton_mm_2227 0.0228 ms 89.8% SingleProcess AUTOTUNE benchmarking takes 5.7772 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3552 ms 100.0% triton_mm_2263 0.3801 ms 93.5% triton_mm_2264 0.3871 ms 91.8% triton_mm_2265 0.3979 ms 89.3% triton_mm_2258 0.4753 ms 74.7% triton_mm_2260 0.4798 ms 74.0% triton_mm_2256 0.4816 ms 73.8% triton_mm_2259 0.5102 ms 69.6% triton_mm_2261 0.5207 ms 68.2% triton_mm_2257 0.5336 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 2.5592 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2198 0.0323 ms 100.0% mm 0.0328 ms 98.4% triton_mm_2202 0.0359 ms 90.0% triton_mm_2206 0.0468 ms 69.1% triton_mm_2210 0.0593 ms 54.5% triton_mm_2197 0.0607 ms 53.2% triton_mm_2196 0.0660 ms 49.0% triton_mm_2201 0.0705 ms 45.9% triton_mm_2205 0.0720 ms 44.9% triton_mm_2195 0.0777 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 6.5136 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2301 0.3722 ms 100.0% mm 0.3834 ms 97.1% triton_mm_2302 0.3852 ms 96.6% triton_mm_2303 0.3979 ms 93.5% triton_mm_2296 0.4660 ms 79.9% triton_mm_2294 0.4748 ms 78.4% triton_mm_2298 0.4765 ms 78.1% triton_mm_2297 0.5075 ms 73.4% triton_mm_2299 0.5232 ms 71.1% triton_mm_2295 0.5303 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5589 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2679 ms 100.0% triton_mm_2358 0.2729 ms 98.2% triton_mm_2359 0.2806 ms 95.5% triton_mm_2360 0.2908 ms 92.2% triton_mm_2353 0.3414 ms 78.5% triton_mm_2354 0.3499 ms 76.6% triton_mm_2351 0.3608 ms 74.3% triton_mm_2355 0.3637 ms 73.7% triton_mm_2352 0.3775 ms 71.0% triton_mm_2356 0.3887 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 2.5347 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2875 ms 100.0% mm 0.2903 ms 99.0% triton_mm_2378 0.2926 ms 98.3% triton_mm_2379 0.2965 ms 97.0% triton_mm_2370 0.3496 ms 82.2% triton_mm_2372 0.3503 ms 82.1% triton_mm_2374 0.3525 ms 81.6% triton_mm_2373 0.3784 ms 76.0% triton_mm_2375 0.3915 ms 73.4% triton_mm_2371 0.3980 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5355 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2406 0.0206 ms 100.0% triton_mm_2408 0.0206 ms 100.0% triton_mm_2403 0.0211 ms 98.0% triton_mm_2405 0.0211 ms 97.9% triton_mm_2409 0.0217 ms 95.3% triton_mm_2407 0.0217 ms 95.0% triton_mm_2412 0.0227 ms 91.0% triton_mm_2402 0.0228 ms 90.3% triton_mm_2410 0.0230 ms 89.8% triton_mm_2404 0.0234 ms 88.2% SingleProcess AUTOTUNE benchmarking takes 2.1283 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3558 ms 100.0% triton_mm_2449 0.3804 ms 93.6% triton_mm_2450 0.3878 ms 91.8% triton_mm_2451 0.3999 ms 89.0% triton_mm_2444 0.4757 ms 74.8% triton_mm_2446 0.4809 ms 74.0% triton_mm_2442 0.4842 ms 73.5% triton_mm_2445 0.5102 ms 69.7% triton_mm_2447 0.5196 ms 68.5% triton_mm_2443 0.5347 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.5582 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2384 0.0323 ms 100.0% mm 0.0329 ms 98.2% triton_mm_2388 0.0359 ms 89.9% triton_mm_2392 0.0468 ms 69.1% triton_mm_2396 0.0593 ms 54.5% triton_mm_2383 0.0615 ms 52.5% triton_mm_2382 0.0660 ms 48.9% triton_mm_2387 0.0705 ms 45.8% triton_mm_2391 0.0727 ms 44.5% triton_mm_2381 0.0778 ms 41.5% SingleProcess AUTOTUNE benchmarking takes 2.0753 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2487 0.3719 ms 100.0% mm 0.3848 ms 96.6% triton_mm_2488 0.3851 ms 96.6% triton_mm_2489 0.3999 ms 93.0% triton_mm_2482 0.4671 ms 79.6% triton_mm_2480 0.4753 ms 78.2% triton_mm_2484 0.4783 ms 77.8% triton_mm_2483 0.5057 ms 73.5% triton_mm_2485 0.5235 ms 71.0% triton_mm_2481 0.5319 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5650 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2656 ms 100.0% triton_mm_2544 0.2736 ms 97.1% triton_mm_2545 0.2814 ms 94.4% triton_mm_2546 0.2920 ms 91.0% triton_mm_2539 0.3427 ms 77.5% triton_mm_2540 0.3514 ms 75.6% triton_mm_2537 0.3581 ms 74.2% triton_mm_2541 0.3632 ms 73.1% triton_mm_2538 0.3767 ms 70.5% triton_mm_2542 0.3877 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.5375 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2880 ms 100.0% mm 0.2908 ms 99.0% triton_mm_2564 0.2915 ms 98.8% triton_mm_2565 0.2983 ms 96.5% triton_mm_2556 0.3495 ms 82.4% triton_mm_2558 0.3508 ms 82.1% triton_mm_2560 0.3530 ms 81.6% triton_mm_2559 0.3798 ms 75.8% triton_mm_2561 0.3924 ms 73.4% triton_mm_2557 0.3990 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5285 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) triton_mm_2635 0.3799 ms 100.0% triton_mm_2636 0.3871 ms 98.1% triton_mm_2637 0.3986 ms 95.3% mm 0.4081 ms 93.1% triton_mm_2630 0.4752 ms 79.9% triton_mm_2632 0.4810 ms 79.0% triton_mm_2628 0.4836 ms 78.6% triton_mm_2631 0.5113 ms 74.3% triton_mm_2633 0.5230 ms 72.6% triton_mm_2629 0.5352 ms 71.0% SingleProcess AUTOTUNE benchmarking takes 2.5448 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0326 ms 100.0% triton_mm_2570 0.0334 ms 97.6% triton_mm_2574 0.0349 ms 93.5% triton_mm_2578 0.0468 ms 69.8% triton_mm_2582 0.0593 ms 55.1% triton_mm_2569 0.0614 ms 53.1% triton_mm_2568 0.0652 ms 50.0% triton_mm_2573 0.0712 ms 45.8% triton_mm_2577 0.0724 ms 45.1% triton_mm_2567 0.0775 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.0899 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2673 0.3722 ms 100.0% mm 0.3847 ms 96.7% triton_mm_2674 0.3856 ms 96.5% triton_mm_2675 0.3999 ms 93.1% triton_mm_2668 0.4689 ms 79.4% triton_mm_2666 0.4762 ms 78.2% triton_mm_2670 0.4790 ms 77.7% triton_mm_2669 0.5090 ms 73.1% triton_mm_2671 0.5249 ms 70.9% triton_mm_2667 0.5345 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5584 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2660 ms 100.0% triton_mm_2730 0.2731 ms 97.4% triton_mm_2731 0.2817 ms 94.4% triton_mm_2732 0.2912 ms 91.3% triton_mm_2725 0.3430 ms 77.5% triton_mm_2726 0.3506 ms 75.9% triton_mm_2723 0.3607 ms 73.7% triton_mm_2727 0.3649 ms 72.9% triton_mm_2724 0.3766 ms 70.6% triton_mm_2728 0.3902 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.5358 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2749 0.2886 ms 100.0% mm 0.2913 ms 99.1% triton_mm_2750 0.2929 ms 98.5% triton_mm_2751 0.2985 ms 96.7% triton_mm_2742 0.3504 ms 82.4% triton_mm_2744 0.3509 ms 82.3% triton_mm_2746 0.3540 ms 81.5% triton_mm_2745 0.3814 ms 75.7% triton_mm_2747 0.3926 ms 73.5% triton_mm_2743 0.3980 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5413 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2859 0.3722 ms 100.0% mm 0.3839 ms 97.0% triton_mm_2860 0.3853 ms 96.6% triton_mm_2861 0.3992 ms 93.2% triton_mm_2854 0.4678 ms 79.6% triton_mm_2852 0.4766 ms 78.1% triton_mm_2856 0.4779 ms 77.9% triton_mm_2855 0.5067 ms 73.5% triton_mm_2857 0.5249 ms 70.9% triton_mm_2853 0.5337 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.5624 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2652 ms 100.0% triton_mm_2916 0.2743 ms 96.7% triton_mm_2917 0.2808 ms 94.5% triton_mm_2918 0.2902 ms 91.4% triton_mm_2911 0.3428 ms 77.4% triton_mm_2912 0.3516 ms 75.4% triton_mm_2909 0.3586 ms 74.0% triton_mm_2913 0.3637 ms 72.9% triton_mm_2910 0.3778 ms 70.2% triton_mm_2914 0.3878 ms 68.4% SingleProcess AUTOTUNE benchmarking takes 2.5383 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2935 0.2874 ms 100.0% mm 0.2904 ms 99.0% triton_mm_2936 0.2929 ms 98.1% triton_mm_2937 0.2976 ms 96.6% triton_mm_2928 0.3499 ms 82.1% triton_mm_2930 0.3509 ms 81.9% triton_mm_2932 0.3528 ms 81.5% triton_mm_2931 0.3803 ms 75.6% triton_mm_2933 0.3924 ms 73.2% triton_mm_2929 0.3979 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5291 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3045 0.3723 ms 100.0% mm 0.3837 ms 97.0% triton_mm_3046 0.3853 ms 96.6% triton_mm_3047 0.3996 ms 93.2% triton_mm_3040 0.4677 ms 79.6% triton_mm_3038 0.4749 ms 78.4% triton_mm_3042 0.4772 ms 78.0% triton_mm_3041 0.5060 ms 73.6% triton_mm_3043 0.5252 ms 70.9% triton_mm_3039 0.5315 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5564 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_3102 0.2740 ms 100.0% triton_mm_3103 0.2819 ms 97.2% triton_mm_3104 0.2907 ms 94.3% mm 0.3004 ms 91.2% triton_mm_3097 0.3425 ms 80.0% triton_mm_3098 0.3507 ms 78.2% triton_mm_3095 0.3593 ms 76.3% triton_mm_3099 0.3626 ms 75.6% triton_mm_3096 0.3778 ms 72.5% triton_mm_3100 0.3888 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 2.5334 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_3121 0.2878 ms 100.0% mm 0.2916 ms 98.7% triton_mm_3122 0.2918 ms 98.6% triton_mm_3123 0.2978 ms 96.6% triton_mm_3116 0.3500 ms 82.2% triton_mm_3114 0.3510 ms 82.0% triton_mm_3118 0.3526 ms 81.6% triton_mm_3117 0.3798 ms 75.8% triton_mm_3119 0.3929 ms 73.3% triton_mm_3115 0.3976 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 2.5389 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3231 0.3734 ms 100.0% mm 0.3849 ms 97.0% triton_mm_3232 0.3860 ms 96.7% triton_mm_3233 0.3985 ms 93.7% triton_mm_3226 0.4669 ms 80.0% triton_mm_3224 0.4766 ms 78.3% triton_mm_3228 0.4775 ms 78.2% triton_mm_3227 0.5051 ms 73.9% triton_mm_3229 0.5233 ms 71.4% triton_mm_3225 0.5310 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5645 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_3307 0.2871 ms 100.0% mm 0.2897 ms 99.1% triton_mm_3308 0.2926 ms 98.1% triton_mm_3309 0.2978 ms 96.4% triton_mm_3300 0.3503 ms 81.9% triton_mm_3302 0.3507 ms 81.9% triton_mm_3304 0.3526 ms 81.4% triton_mm_3303 0.3789 ms 75.8% triton_mm_3305 0.3920 ms 73.2% triton_mm_3301 0.3985 ms 72.0% SingleProcess AUTOTUNE benchmarking takes 2.5407 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3417 0.3726 ms 100.0% mm 0.3802 ms 98.0% triton_mm_3418 0.3854 ms 96.7% triton_mm_3419 0.3993 ms 93.3% triton_mm_3412 0.4675 ms 79.7% triton_mm_3410 0.4752 ms 78.4% triton_mm_3414 0.4781 ms 77.9% triton_mm_3413 0.5066 ms 73.5% triton_mm_3415 0.5240 ms 71.1% triton_mm_3411 0.5319 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.5652 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_3493 0.2872 ms 100.0% mm 0.2892 ms 99.3% triton_mm_3494 0.2916 ms 98.5% triton_mm_3495 0.2986 ms 96.2% triton_mm_3486 0.3500 ms 82.0% triton_mm_3488 0.3509 ms 81.8% triton_mm_3490 0.3524 ms 81.5% triton_mm_3489 0.3789 ms 75.8% triton_mm_3491 0.3919 ms 73.3% triton_mm_3487 0.3991 ms 72.0% SingleProcess AUTOTUNE benchmarking takes 2.5421 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3603 0.3721 ms 100.0% mm 0.3848 ms 96.7% triton_mm_3604 0.3859 ms 96.4% triton_mm_3605 0.3988 ms 93.3% triton_mm_3598 0.4664 ms 79.8% triton_mm_3596 0.4763 ms 78.1% triton_mm_3600 0.4779 ms 77.9% triton_mm_3599 0.5064 ms 73.5% triton_mm_3601 0.5239 ms 71.0% triton_mm_3597 0.5325 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5607 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_3679 0.2876 ms 100.0% mm 0.2890 ms 99.5% triton_mm_3680 0.2932 ms 98.1% triton_mm_3681 0.2976 ms 96.7% triton_mm_3672 0.3496 ms 82.3% triton_mm_3674 0.3514 ms 81.8% triton_mm_3676 0.3519 ms 81.7% triton_mm_3675 0.3798 ms 75.7% triton_mm_3677 0.3916 ms 73.5% triton_mm_3673 0.3983 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5387 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3789 0.3721 ms 100.0% mm 0.3843 ms 96.8% triton_mm_3790 0.3852 ms 96.6% triton_mm_3791 0.3989 ms 93.3% triton_mm_3784 0.4676 ms 79.6% triton_mm_3782 0.4754 ms 78.3% triton_mm_3786 0.4780 ms 77.8% triton_mm_3785 0.5075 ms 73.3% triton_mm_3787 0.5248 ms 70.9% triton_mm_3783 0.5325 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5619 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_3865 0.2882 ms 100.0% mm 0.2892 ms 99.7% triton_mm_3866 0.2916 ms 98.8% triton_mm_3867 0.2988 ms 96.4% triton_mm_3860 0.3496 ms 82.4% triton_mm_3858 0.3507 ms 82.2% triton_mm_3862 0.3532 ms 81.6% triton_mm_3861 0.3794 ms 76.0% triton_mm_3863 0.3929 ms 73.3% triton_mm_3859 0.3983 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5404 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3975 0.3715 ms 100.0% mm 0.3850 ms 96.5% triton_mm_3976 0.3857 ms 96.3% triton_mm_3977 0.3991 ms 93.1% triton_mm_3970 0.4687 ms 79.3% triton_mm_3968 0.4759 ms 78.1% triton_mm_3972 0.4773 ms 77.8% triton_mm_3971 0.5066 ms 73.3% triton_mm_3973 0.5237 ms 70.9% triton_mm_3969 0.5292 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5638 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_4051 0.2886 ms 100.0% triton_mm_4052 0.2919 ms 98.8% triton_mm_4053 0.2982 ms 96.8% mm 0.3321 ms 86.9% triton_mm_4044 0.3496 ms 82.5% triton_mm_4046 0.3506 ms 82.3% triton_mm_4048 0.3522 ms 81.9% triton_mm_4047 0.3799 ms 76.0% triton_mm_4049 0.3917 ms 73.7% triton_mm_4045 0.3973 ms 72.6% SingleProcess AUTOTUNE benchmarking takes 2.5253 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_4161 0.3710 ms 100.0% triton_mm_4162 0.3849 ms 96.4% mm 0.3852 ms 96.3% triton_mm_4163 0.3997 ms 92.8% triton_mm_4156 0.4671 ms 79.4% triton_mm_4154 0.4746 ms 78.2% triton_mm_4158 0.4781 ms 77.6% triton_mm_4157 0.5056 ms 73.4% triton_mm_4159 0.5247 ms 70.7% triton_mm_4155 0.5312 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5586 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_4347 0.3722 ms 100.0% mm 0.3812 ms 97.7% triton_mm_4348 0.3854 ms 96.6% triton_mm_4349 0.3984 ms 93.4% triton_mm_4342 0.4672 ms 79.7% triton_mm_4344 0.4760 ms 78.2% triton_mm_4340 0.4783 ms 77.8% triton_mm_4343 0.5063 ms 73.5% triton_mm_4345 0.5236 ms 71.1% triton_mm_4341 0.5305 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5661 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_4533 0.3723 ms 100.0% mm 0.3842 ms 96.9% triton_mm_4534 0.3861 ms 96.4% triton_mm_4535 0.3985 ms 93.4% triton_mm_4528 0.4667 ms 79.8% triton_mm_4526 0.4739 ms 78.6% triton_mm_4530 0.4759 ms 78.2% triton_mm_4529 0.5079 ms 73.3% triton_mm_4531 0.5238 ms 71.1% triton_mm_4527 0.5308 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5676 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.0988 ms 100.0% mm 0.1003 ms 98.5% triton_mm_4663 0.1031 ms 95.9% triton_mm_4655 0.1171 ms 84.4% triton_mm_4659 0.1173 ms 84.2% triton_mm_4657 0.1180 ms 83.7% triton_mm_4656 0.1274 ms 77.6% triton_mm_4664 0.1284 ms 77.0% triton_mm_4660 0.1325 ms 74.6% triton_mm_4658 0.1549 ms 63.8% SingleProcess AUTOTUNE benchmarking takes 10.4884 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) triton_mm_4700 0.2324 ms 100.0% mm 0.2324 ms 100.0% triton_mm_4701 0.2407 ms 96.6% triton_mm_4702 0.2556 ms 90.9% triton_mm_4695 0.2916 ms 79.7% triton_mm_4693 0.2924 ms 79.5% triton_mm_4697 0.2969 ms 78.3% triton_mm_4696 0.3172 ms 73.3% triton_mm_4694 0.3217 ms 72.2% triton_mm_4698 0.3285 ms 70.7% SingleProcess AUTOTUNE benchmarking takes 10.3428 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2385 ms 100.0% triton_mm_4719 0.2787 ms 85.6% triton_mm_4720 0.2863 ms 83.3% triton_mm_4721 0.2928 ms 81.5% triton_mm_4716 0.3120 ms 76.4% triton_mm_4712 0.3135 ms 76.1% triton_mm_4715 0.3200 ms 74.5% triton_mm_4714 0.3230 ms 73.8% triton_mm_4717 0.3285 ms 72.6% triton_mm_4713 0.3350 ms 71.2% SingleProcess AUTOTUNE benchmarking takes 9.8631 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1659 ms 100.0% triton_mm_4757 0.1778 ms 93.3% triton_mm_4752 0.1803 ms 92.0% triton_mm_4750 0.1806 ms 91.9% triton_mm_4754 0.1815 ms 91.4% triton_mm_4758 0.1875 ms 88.5% triton_mm_4753 0.1910 ms 86.9% triton_mm_4759 0.1933 ms 85.8% triton_mm_4755 0.2008 ms 82.6% triton_mm_4751 0.2039 ms 81.4% SingleProcess AUTOTUNE benchmarking takes 9.8503 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0966 ms 100.0% triton_mm_4683 0.1002 ms 96.5% triton_mm_4682 0.1101 ms 87.8% triton_mm_4676 0.1181 ms 81.8% triton_mm_4674 0.1237 ms 78.1% triton_mm_4681 0.1240 ms 77.9% triton_mm_4678 0.1259 ms 76.8% triton_mm_4677 0.1266 ms 76.3% triton_mm_4679 0.1318 ms 73.3% triton_mm_4675 0.1340 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 10.0683 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1454 ms 100.0% triton_mm_4738 0.1502 ms 96.8% triton_mm_4739 0.1561 ms 93.2% triton_mm_4740 0.1612 ms 90.2% triton_mm_4733 0.1879 ms 77.4% triton_mm_4735 0.1940 ms 75.0% triton_mm_4731 0.1948 ms 74.7% triton_mm_4734 0.2038 ms 71.4% triton_mm_4732 0.2053 ms 70.8% triton_mm_4736 0.2108 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 10.2847 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_4833 0.3716 ms 100.0% mm 0.3848 ms 96.5% triton_mm_4834 0.3870 ms 96.0% triton_mm_4835 0.3985 ms 93.2% triton_mm_4828 0.4696 ms 79.1% triton_mm_4826 0.4767 ms 77.9% triton_mm_4830 0.4785 ms 77.7% triton_mm_4829 0.5076 ms 73.2% triton_mm_4831 0.5257 ms 70.7% triton_mm_4827 0.5327 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5710 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6840, 6840x32) mm 0.0323 ms 100.0% triton_mm_5880 0.0442 ms 73.1% triton_mm_5887 0.0451 ms 71.7% triton_mm_5878 0.0559 ms 57.7% triton_mm_5879 0.0643 ms 50.2% triton_mm_5886 0.0663 ms 48.7% triton_mm_5877 0.0682 ms 47.3% triton_mm_5883 0.0687 ms 47.0% triton_mm_5892 0.0705 ms 45.8% triton_mm_5891 0.0768 ms 42.0% SingleProcess AUTOTUNE benchmarking takes 6.5917 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_6 0.0294 ms 100.0% triton_mm_8 0.0294 ms 100.0% triton_mm_7 0.0295 ms 99.9% triton_mm_9 0.0299 ms 98.6% triton_mm_12 0.0303 ms 97.1% triton_mm_11 0.0307 ms 95.9% triton_mm_15 0.0313 ms 94.1% triton_mm_14 0.0315 ms 93.5% triton_mm_16 0.0315 ms 93.4% triton_mm_10 0.0316 ms 93.2% SingleProcess AUTOTUNE benchmarking takes 2.1452 seconds and 0.0599 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0263 ms 100.0% triton_mm_29 0.0276 ms 95.3% triton_mm_28 0.0285 ms 92.5% triton_mm_24 0.0286 ms 92.2% triton_mm_18 0.0291 ms 90.6% bias_addmm 0.0297 ms 88.7% triton_mm_25 0.0301 ms 87.4% triton_mm_21 0.0311 ms 84.7% triton_mm_20 0.0326 ms 80.7% triton_mm_19 0.0332 ms 79.4% SingleProcess AUTOTUNE benchmarking takes 2.1748 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_50 0.3086 ms 100.0% triton_mm_51 0.3094 ms 99.7% bias_addmm 0.3357 ms 91.9% triton_mm_52 0.3472 ms 88.9% triton_mm_45 0.3626 ms 85.1% triton_mm_43 0.3812 ms 81.0% triton_mm_47 0.3831 ms 80.6% triton_mm_44 0.4226 ms 73.0% addmm 0.4290 ms 71.9% triton_mm_46 0.4375 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 2.6322 seconds and 0.0231 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1065 ms 100.0% triton_mm_69 0.1088 ms 97.9% triton_mm_71 0.1176 ms 90.5% bias_addmm 0.1236 ms 86.1% triton_mm_64 0.1270 ms 83.8% addmm 0.1325 ms 80.4% triton_mm_62 0.1332 ms 80.0% triton_mm_66 0.1335 ms 79.8% triton_mm_63 0.1467 ms 72.6% triton_mm_67 0.1497 ms 71.1% SingleProcess AUTOTUNE benchmarking takes 2.5440 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.4125 ms 100.0% triton_mm_88 0.4156 ms 99.3% triton_mm_90 0.4623 ms 89.2% triton_mm_83 0.4819 ms 85.6% triton_mm_81 0.5122 ms 80.5% triton_mm_85 0.5157 ms 80.0% triton_mm_82 0.5690 ms 72.5% triton_mm_84 0.5752 ms 71.7% triton_mm_86 0.5840 ms 70.6% addmm 0.6042 ms 68.3% SingleProcess AUTOTUNE benchmarking takes 2.6812 seconds and 1.1795 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3779 ms 100.0% triton_mm_107 0.3947 ms 95.8% triton_mm_109 0.4023 ms 93.9% addmm 0.4300 ms 87.9% bias_addmm 0.4374 ms 86.4% triton_mm_102 0.4770 ms 79.2% triton_mm_104 0.4943 ms 76.4% triton_mm_103 0.4952 ms 76.3% triton_mm_100 0.4958 ms 76.2% triton_mm_105 0.5482 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 2.6819 seconds and 0.2249 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_126 0.0263 ms 100.0% triton_mm_111 0.0281 ms 93.4% triton_mm_122 0.0281 ms 93.4% triton_mm_121 0.0285 ms 92.1% triton_mm_117 0.0294 ms 89.3% bias_addmm 0.0296 ms 88.7% triton_mm_118 0.0302 ms 87.1% triton_mm_114 0.0316 ms 83.2% triton_mm_113 0.0326 ms 80.5% triton_mm_120 0.0335 ms 78.4% SingleProcess AUTOTUNE benchmarking takes 2.6707 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_219 0.0272 ms 100.0% triton_mm_215 0.0276 ms 98.7% triton_mm_210 0.0285 ms 95.4% triton_mm_204 0.0290 ms 94.0% triton_mm_214 0.0293 ms 92.9% triton_mm_211 0.0307 ms 88.7% bias_addmm 0.0315 ms 86.6% triton_mm_207 0.0316 ms 86.3% triton_mm_206 0.0326 ms 83.4% triton_mm_217 0.0334 ms 81.6% SingleProcess AUTOTUNE benchmarking takes 2.1792 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_312 0.0272 ms 100.0% triton_mm_308 0.0276 ms 98.6% triton_mm_297 0.0281 ms 96.8% triton_mm_307 0.0285 ms 95.5% triton_mm_303 0.0294 ms 92.4% triton_mm_304 0.0303 ms 89.9% triton_mm_300 0.0315 ms 86.4% bias_addmm 0.0326 ms 83.4% triton_mm_306 0.0335 ms 81.2% triton_mm_299 0.0336 ms 81.0% SingleProcess AUTOTUNE benchmarking takes 2.1879 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_405 0.0263 ms 100.0% triton_mm_390 0.0281 ms 93.4% triton_mm_401 0.0282 ms 93.3% triton_mm_400 0.0285 ms 92.2% triton_mm_396 0.0294 ms 89.3% triton_mm_397 0.0302 ms 87.0% bias_addmm 0.0315 ms 83.5% triton_mm_393 0.0315 ms 83.4% triton_mm_392 0.0327 ms 80.4% triton_mm_399 0.0335 ms 78.4% SingleProcess AUTOTUNE benchmarking takes 2.2001 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_498 0.0263 ms 100.0% triton_mm_494 0.0276 ms 95.2% triton_mm_483 0.0281 ms 93.4% triton_mm_493 0.0285 ms 92.2% triton_mm_489 0.0295 ms 89.1% triton_mm_490 0.0305 ms 86.1% triton_mm_486 0.0311 ms 84.6% bias_addmm 0.0314 ms 83.6% triton_mm_485 0.0326 ms 80.5% triton_mm_484 0.0331 ms 79.3% SingleProcess AUTOTUNE benchmarking takes 2.1922 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1631 ms 100.0% triton_mm_591 0.1642 ms 99.4% triton_mm_593 0.1817 ms 89.8% triton_mm_586 0.1924 ms 84.8% triton_mm_584 0.2018 ms 80.8% triton_mm_588 0.2022 ms 80.7% bias_addmm 0.2148 ms 76.0% triton_mm_585 0.2238 ms 72.9% triton_mm_589 0.2284 ms 71.4% triton_mm_587 0.2340 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.6125 seconds and 0.0218 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_611 0.2454 ms 100.0% triton_mm_610 0.2457 ms 99.9% bias_addmm 0.2651 ms 92.6% triton_mm_612 0.2690 ms 91.2% triton_mm_605 0.3022 ms 81.2% addmm 0.3052 ms 80.4% triton_mm_603 0.3086 ms 79.5% triton_mm_607 0.3094 ms 79.3% triton_mm_606 0.3348 ms 73.3% triton_mm_608 0.3525 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.6440 seconds and 0.0011 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0934 ms 100.0% triton_mm_630 0.0944 ms 99.0% triton_mm_629 0.1002 ms 93.2% triton_mm_631 0.1013 ms 92.2% triton_mm_624 0.1156 ms 80.8% triton_mm_626 0.1160 ms 80.5% triton_mm_622 0.1184 ms 78.9% triton_mm_625 0.1280 ms 73.0% triton_mm_627 0.1342 ms 69.6% triton_mm_623 0.1345 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.4297 seconds and 0.0011 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1942 0.0146 ms 100.0% triton_mm_1938 0.0152 ms 95.8% triton_mm_1946 0.0167 ms 87.4% triton_mm_1950 0.0183 ms 79.7% triton_mm_1937 0.0188 ms 77.8% triton_mm_1935 0.0197 ms 74.0% triton_mm_1941 0.0201 ms 72.7% triton_mm_1936 0.0204 ms 71.4% triton_mm_1945 0.0220 ms 66.2% triton_mm_1948 0.0220 ms 66.2% SingleProcess AUTOTUNE benchmarking takes 7.3165 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5749 ms 100.0% triton_mm_1968 2.6264 ms 98.0% triton_mm_1967 2.6468 ms 97.3% triton_mm_1969 2.9205 ms 88.2% triton_mm_1962 3.2230 ms 79.9% triton_mm_1964 3.2669 ms 78.8% addmm 3.2945 ms 78.2% triton_mm_1960 3.3752 ms 76.3% triton_mm_1965 3.7424 ms 68.8% triton_mm_1963 3.7476 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 3.1913 seconds and 0.0009 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.3532 ms 100.0% triton_mm_2006 2.4047 ms 97.9% mm 2.4178 ms 97.3% triton_mm_2007 2.5272 ms 93.1% triton_mm_2000 2.9610 ms 79.5% triton_mm_1998 2.9819 ms 78.9% triton_mm_2002 3.0866 ms 76.2% triton_mm_2001 3.1623 ms 74.4% triton_mm_2003 3.2431 ms 72.6% triton_mm_1999 3.3147 ms 71.0% SingleProcess AUTOTUNE benchmarking takes 9.8955 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3637 ms 100.0% triton_mm_2077 0.3903 ms 93.2% triton_mm_2078 0.3971 ms 91.6% triton_mm_2079 0.4057 ms 89.7% triton_mm_2072 0.4860 ms 74.8% triton_mm_2074 0.4892 ms 74.4% triton_mm_2070 0.4902 ms 74.2% triton_mm_2073 0.5191 ms 70.1% triton_mm_2075 0.5331 ms 68.2% triton_mm_2071 0.5469 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 9.7993 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2031 0.0127 ms 100.0% triton_mm_2033 0.0127 ms 100.0% triton_mm_2035 0.0127 ms 100.0% triton_mm_2040 0.0131 ms 96.8% triton_mm_2034 0.0132 ms 96.6% triton_mm_2030 0.0132 ms 96.1% triton_mm_2036 0.0133 ms 95.2% triton_mm_2029 0.0136 ms 93.6% triton_mm_2037 0.0137 ms 92.8% triton_mm_2032 0.0137 ms 92.5% SingleProcess AUTOTUNE benchmarking takes 5.7687 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2012 0.0168 ms 100.0% triton_mm_2016 0.0177 ms 94.9% mm 0.0192 ms 87.7% triton_mm_2020 0.0212 ms 79.5% triton_mm_2011 0.0260 ms 64.7% triton_mm_2024 0.0261 ms 64.5% triton_mm_2010 0.0264 ms 63.7% triton_mm_2015 0.0283 ms 59.4% triton_mm_2019 0.0294 ms 57.3% triton_mm_2009 0.0306 ms 55.0% SingleProcess AUTOTUNE benchmarking takes 6.9693 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3682 ms 100.0% triton_mm_1986 2.3960 ms 98.8% triton_mm_1987 2.4034 ms 98.5% triton_mm_1988 2.4571 ms 96.4% triton_mm_1982 3.0782 ms 76.9% triton_mm_1981 3.2453 ms 73.0% triton_mm_1979 3.2960 ms 71.9% triton_mm_1980 3.3020 ms 71.7% triton_mm_1984 3.3941 ms 69.8% triton_mm_1983 3.5557 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 9.8825 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3860 ms 100.0% mm 0.3886 ms 99.3% triton_mm_2059 0.4034 ms 95.7% triton_mm_2060 0.4356 ms 88.6% triton_mm_2051 0.4721 ms 81.8% triton_mm_2053 0.4798 ms 80.5% triton_mm_2055 0.4869 ms 79.3% triton_mm_2052 0.5113 ms 75.5% triton_mm_2056 0.5416 ms 71.3% triton_mm_2054 0.5554 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.5525 seconds and 0.0008 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3604 ms 100.0% triton_mm_2096 0.3731 ms 96.6% triton_mm_2097 0.3795 ms 95.0% triton_mm_2098 0.3922 ms 91.9% triton_mm_2091 0.4633 ms 77.8% triton_mm_2092 0.4772 ms 75.5% triton_mm_2089 0.4878 ms 73.9% triton_mm_2093 0.4897 ms 73.6% triton_mm_2090 0.5127 ms 70.3% triton_mm_2094 0.5238 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 9.5532 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3808 ms 100.0% mm 0.3909 ms 97.4% triton_mm_2116 0.3924 ms 97.0% triton_mm_2117 0.4080 ms 93.4% triton_mm_2110 0.4768 ms 79.9% triton_mm_2108 0.4848 ms 78.6% triton_mm_2112 0.4864 ms 78.3% triton_mm_2111 0.5162 ms 73.8% triton_mm_2113 0.5352 ms 71.2% triton_mm_2109 0.5428 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 9.9089 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2172 0.2799 ms 100.0% triton_mm_2173 0.2865 ms 97.7% triton_mm_2174 0.2958 ms 94.6% mm 0.3027 ms 92.5% triton_mm_2167 0.3481 ms 80.4% triton_mm_2168 0.3559 ms 78.6% triton_mm_2165 0.3640 ms 76.9% triton_mm_2169 0.3698 ms 75.7% triton_mm_2166 0.3838 ms 72.9% triton_mm_2170 0.3967 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 9.8553 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2933 ms 100.0% triton_mm_2192 0.2976 ms 98.6% mm 0.2980 ms 98.4% triton_mm_2193 0.3037 ms 96.6% triton_mm_2184 0.3563 ms 82.3% triton_mm_2186 0.3568 ms 82.2% triton_mm_2188 0.3580 ms 81.9% triton_mm_2187 0.3863 ms 75.9% triton_mm_2189 0.3996 ms 73.4% triton_mm_2185 0.4047 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 10.0641 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0955 ms 100.0% triton_mm_2155 0.1006 ms 94.9% triton_mm_2154 0.1090 ms 87.6% triton_mm_2153 0.1220 ms 78.2% triton_mm_2148 0.1221 ms 78.2% triton_mm_2146 0.1246 ms 76.6% triton_mm_2150 0.1251 ms 76.3% triton_mm_2149 0.1287 ms 74.2% triton_mm_2151 0.1331 ms 71.7% triton_mm_2147 0.1350 ms 70.7% SingleProcess AUTOTUNE benchmarking takes 9.8444 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0989 ms 100.0% triton_mm_2134 0.1016 ms 97.3% triton_mm_2135 0.1042 ms 94.9% triton_mm_2136 0.1104 ms 89.6% triton_mm_2129 0.1257 ms 78.6% triton_mm_2127 0.1258 ms 78.6% triton_mm_2131 0.1268 ms 78.0% triton_mm_2128 0.1292 ms 76.5% triton_mm_2132 0.1388 ms 71.2% triton_mm_2130 0.1452 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.4473 seconds and 0.0010 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2222 0.0204 ms 100.0% triton_mm_2223 0.0205 ms 99.4% triton_mm_2217 0.0207 ms 98.3% triton_mm_2220 0.0214 ms 95.2% triton_mm_2221 0.0216 ms 94.5% triton_mm_2226 0.0216 ms 94.5% triton_mm_2219 0.0216 ms 94.2% triton_mm_2216 0.0217 ms 94.1% triton_mm_2224 0.0219 ms 93.0% triton_mm_2218 0.0223 ms 91.5% SingleProcess AUTOTUNE benchmarking takes 5.8255 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3629 ms 100.0% triton_mm_2263 0.3897 ms 93.1% triton_mm_2264 0.3971 ms 91.4% triton_mm_2265 0.4081 ms 88.9% triton_mm_2258 0.4863 ms 74.6% triton_mm_2260 0.4904 ms 74.0% triton_mm_2256 0.4941 ms 73.4% triton_mm_2259 0.5211 ms 69.6% triton_mm_2261 0.5329 ms 68.1% triton_mm_2257 0.5463 ms 66.4% SingleProcess AUTOTUNE benchmarking takes 2.5584 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2198 0.0323 ms 100.0% mm 0.0326 ms 99.0% triton_mm_2202 0.0358 ms 90.3% triton_mm_2206 0.0466 ms 69.4% triton_mm_2210 0.0590 ms 54.8% triton_mm_2197 0.0607 ms 53.2% triton_mm_2196 0.0651 ms 49.6% triton_mm_2201 0.0709 ms 45.6% triton_mm_2205 0.0717 ms 45.0% triton_mm_2195 0.0776 ms 41.7% SingleProcess AUTOTUNE benchmarking takes 6.5838 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2244 0.3866 ms 100.0% mm 0.3870 ms 99.9% triton_mm_2245 0.4043 ms 95.6% triton_mm_2246 0.4364 ms 88.6% triton_mm_2237 0.4748 ms 81.4% triton_mm_2239 0.4796 ms 80.6% triton_mm_2241 0.4881 ms 79.2% triton_mm_2238 0.5108 ms 75.7% triton_mm_2242 0.5473 ms 70.6% triton_mm_2240 0.5554 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5598 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3602 ms 100.0% triton_mm_2282 0.3728 ms 96.6% triton_mm_2283 0.3802 ms 94.7% triton_mm_2284 0.3929 ms 91.7% triton_mm_2277 0.4642 ms 77.6% triton_mm_2278 0.4783 ms 75.3% triton_mm_2275 0.4880 ms 73.8% triton_mm_2279 0.4912 ms 73.3% triton_mm_2276 0.5122 ms 70.3% triton_mm_2280 0.5296 ms 68.0% SingleProcess AUTOTUNE benchmarking takes 2.5513 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2301 0.3818 ms 100.0% mm 0.3921 ms 97.4% triton_mm_2302 0.3958 ms 96.5% triton_mm_2303 0.4096 ms 93.2% triton_mm_2296 0.4790 ms 79.7% triton_mm_2294 0.4872 ms 78.4% triton_mm_2298 0.4883 ms 78.2% triton_mm_2297 0.5188 ms 73.6% triton_mm_2299 0.5366 ms 71.2% triton_mm_2295 0.5435 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5558 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2358 0.2797 ms 100.0% triton_mm_2359 0.2880 ms 97.1% triton_mm_2360 0.2982 ms 93.8% mm 0.3025 ms 92.5% triton_mm_2353 0.3493 ms 80.1% triton_mm_2354 0.3568 ms 78.4% triton_mm_2351 0.3665 ms 76.3% triton_mm_2355 0.3703 ms 75.5% triton_mm_2352 0.3843 ms 72.8% triton_mm_2356 0.3968 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 2.5283 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2947 ms 100.0% mm 0.2973 ms 99.1% triton_mm_2378 0.2992 ms 98.5% triton_mm_2379 0.3053 ms 96.5% triton_mm_2370 0.3562 ms 82.7% triton_mm_2372 0.3577 ms 82.4% triton_mm_2374 0.3589 ms 82.1% triton_mm_2373 0.3885 ms 75.8% triton_mm_2375 0.4005 ms 73.6% triton_mm_2371 0.4056 ms 72.7% SingleProcess AUTOTUNE benchmarking takes 2.5344 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0959 ms 100.0% triton_mm_2341 0.1014 ms 94.6% triton_mm_2340 0.1091 ms 87.9% triton_mm_2339 0.1220 ms 78.6% triton_mm_2334 0.1221 ms 78.5% triton_mm_2336 0.1245 ms 77.0% triton_mm_2332 0.1253 ms 76.5% triton_mm_2335 0.1295 ms 74.1% triton_mm_2337 0.1324 ms 72.5% triton_mm_2333 0.1351 ms 71.0% SingleProcess AUTOTUNE benchmarking takes 2.4341 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0988 ms 100.0% triton_mm_2320 0.1017 ms 97.2% triton_mm_2321 0.1053 ms 93.9% triton_mm_2322 0.1115 ms 88.7% triton_mm_2315 0.1264 ms 78.2% triton_mm_2313 0.1265 ms 78.1% triton_mm_2317 0.1274 ms 77.6% triton_mm_2314 0.1299 ms 76.1% triton_mm_2318 0.1393 ms 71.0% triton_mm_2316 0.1453 ms 68.0% SingleProcess AUTOTUNE benchmarking takes 2.4434 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2408 0.0204 ms 100.0% triton_mm_2403 0.0208 ms 98.0% triton_mm_2406 0.0213 ms 95.8% triton_mm_2409 0.0215 ms 94.7% triton_mm_2402 0.0217 ms 93.8% triton_mm_2405 0.0217 ms 93.8% triton_mm_2410 0.0219 ms 93.0% triton_mm_2404 0.0223 ms 91.4% triton_mm_2407 0.0226 ms 90.4% triton_mm_2412 0.0226 ms 90.3% SingleProcess AUTOTUNE benchmarking takes 2.1218 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3591 ms 100.0% triton_mm_2449 0.3893 ms 92.2% triton_mm_2450 0.3974 ms 90.4% triton_mm_2451 0.4094 ms 87.7% triton_mm_2444 0.4887 ms 73.5% triton_mm_2446 0.4903 ms 73.2% triton_mm_2442 0.4943 ms 72.7% triton_mm_2445 0.5213 ms 68.9% triton_mm_2447 0.5344 ms 67.2% triton_mm_2443 0.5479 ms 65.5% SingleProcess AUTOTUNE benchmarking takes 2.5582 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2384 0.0323 ms 100.0% mm 0.0325 ms 99.3% triton_mm_2388 0.0348 ms 92.9% triton_mm_2392 0.0465 ms 69.5% triton_mm_2396 0.0588 ms 55.0% triton_mm_2383 0.0607 ms 53.2% triton_mm_2382 0.0660 ms 49.0% triton_mm_2387 0.0703 ms 46.0% triton_mm_2391 0.0724 ms 44.6% triton_mm_2381 0.0777 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 2.0808 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3872 ms 100.0% triton_mm_2430 0.3877 ms 99.9% triton_mm_2431 0.4043 ms 95.8% triton_mm_2432 0.4362 ms 88.8% triton_mm_2423 0.4725 ms 82.0% triton_mm_2425 0.4781 ms 81.0% triton_mm_2427 0.4881 ms 79.3% triton_mm_2424 0.5088 ms 76.1% triton_mm_2428 0.5424 ms 71.4% triton_mm_2426 0.5536 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5609 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2722 ms 100.0% triton_mm_2544 0.2803 ms 97.1% triton_mm_2545 0.2886 ms 94.3% triton_mm_2546 0.2988 ms 91.1% triton_mm_2539 0.3502 ms 77.7% triton_mm_2540 0.3584 ms 76.0% triton_mm_2537 0.3660 ms 74.4% triton_mm_2541 0.3709 ms 73.4% triton_mm_2538 0.3860 ms 70.5% triton_mm_2542 0.3969 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5286 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2954 ms 100.0% mm 0.2975 ms 99.3% triton_mm_2564 0.2995 ms 98.6% triton_mm_2565 0.3060 ms 96.6% triton_mm_2556 0.3574 ms 82.7% triton_mm_2558 0.3596 ms 82.1% triton_mm_2560 0.3601 ms 82.0% triton_mm_2559 0.3892 ms 75.9% triton_mm_2561 0.4015 ms 73.6% triton_mm_2557 0.4065 ms 72.7% SingleProcess AUTOTUNE benchmarking takes 2.5354 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0960 ms 100.0% triton_mm_2527 0.1008 ms 95.2% triton_mm_2526 0.1091 ms 88.0% triton_mm_2525 0.1220 ms 78.7% triton_mm_2520 0.1227 ms 78.3% triton_mm_2522 0.1247 ms 77.0% triton_mm_2518 0.1260 ms 76.2% triton_mm_2521 0.1300 ms 73.8% triton_mm_2523 0.1326 ms 72.4% triton_mm_2519 0.1352 ms 71.0% SingleProcess AUTOTUNE benchmarking takes 2.4320 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0997 ms 100.0% triton_mm_2506 0.1014 ms 98.3% triton_mm_2507 0.1045 ms 95.4% triton_mm_2508 0.1120 ms 89.0% triton_mm_2499 0.1258 ms 79.2% triton_mm_2503 0.1270 ms 78.5% triton_mm_2501 0.1276 ms 78.1% triton_mm_2500 0.1308 ms 76.2% triton_mm_2504 0.1387 ms 71.9% triton_mm_2502 0.1448 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.4372 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2592 0.0204 ms 100.0% triton_mm_2589 0.0208 ms 98.2% triton_mm_2591 0.0208 ms 98.2% triton_mm_2594 0.0213 ms 95.6% triton_mm_2595 0.0215 ms 94.7% triton_mm_2593 0.0215 ms 94.7% triton_mm_2598 0.0215 ms 94.7% triton_mm_2588 0.0217 ms 94.1% triton_mm_2590 0.0222 ms 91.7% triton_mm_2596 0.0229 ms 88.8% SingleProcess AUTOTUNE benchmarking takes 2.1159 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3618 ms 100.0% triton_mm_2635 0.3910 ms 92.5% triton_mm_2636 0.3983 ms 90.8% triton_mm_2637 0.4099 ms 88.3% triton_mm_2630 0.4902 ms 73.8% triton_mm_2632 0.4920 ms 73.5% triton_mm_2628 0.4947 ms 73.1% triton_mm_2631 0.5224 ms 69.3% triton_mm_2633 0.5357 ms 67.5% triton_mm_2629 0.5498 ms 65.8% SingleProcess AUTOTUNE benchmarking takes 2.5537 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0326 ms 100.0% triton_mm_2570 0.0333 ms 97.8% triton_mm_2574 0.0358 ms 90.9% triton_mm_2578 0.0455 ms 71.5% triton_mm_2582 0.0587 ms 55.4% triton_mm_2569 0.0607 ms 53.6% triton_mm_2568 0.0652 ms 50.0% triton_mm_2573 0.0710 ms 45.9% triton_mm_2577 0.0724 ms 45.0% triton_mm_2567 0.0769 ms 42.3% SingleProcess AUTOTUNE benchmarking takes 2.0699 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2616 0.3880 ms 100.0% mm 0.3887 ms 99.8% triton_mm_2617 0.4056 ms 95.6% triton_mm_2618 0.4386 ms 88.5% triton_mm_2609 0.4751 ms 81.7% triton_mm_2611 0.4776 ms 81.2% triton_mm_2613 0.4886 ms 79.4% triton_mm_2610 0.5100 ms 76.1% triton_mm_2614 0.5455 ms 71.1% triton_mm_2612 0.5592 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5559 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2731 ms 100.0% triton_mm_2730 0.2801 ms 97.5% triton_mm_2731 0.2884 ms 94.7% triton_mm_2732 0.2990 ms 91.4% triton_mm_2725 0.3492 ms 78.2% triton_mm_2726 0.3580 ms 76.3% triton_mm_2723 0.3683 ms 74.2% triton_mm_2727 0.3711 ms 73.6% triton_mm_2724 0.3848 ms 71.0% triton_mm_2728 0.3980 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5352 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2749 0.2946 ms 100.0% mm 0.2980 ms 98.9% triton_mm_2750 0.2993 ms 98.4% triton_mm_2751 0.3047 ms 96.7% triton_mm_2742 0.3587 ms 82.1% triton_mm_2744 0.3588 ms 82.1% triton_mm_2746 0.3609 ms 81.6% triton_mm_2745 0.3881 ms 75.9% triton_mm_2747 0.4017 ms 73.4% triton_mm_2743 0.4078 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5356 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0950 ms 100.0% triton_mm_2713 0.1018 ms 93.4% triton_mm_2712 0.1082 ms 87.8% triton_mm_2711 0.1214 ms 78.3% triton_mm_2706 0.1223 ms 77.7% triton_mm_2708 0.1248 ms 76.1% triton_mm_2704 0.1255 ms 75.7% triton_mm_2707 0.1289 ms 73.7% triton_mm_2709 0.1328 ms 71.5% triton_mm_2705 0.1353 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 3.6109 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0989 ms 100.0% triton_mm_2692 0.1021 ms 96.9% triton_mm_2693 0.1045 ms 94.6% triton_mm_2694 0.1113 ms 88.9% triton_mm_2685 0.1267 ms 78.1% triton_mm_2687 0.1268 ms 78.0% triton_mm_2689 0.1276 ms 77.5% triton_mm_2686 0.1300 ms 76.1% triton_mm_2690 0.1397 ms 70.8% triton_mm_2688 0.1454 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.4424 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2780 0.0204 ms 100.0% triton_mm_2778 0.0204 ms 99.8% triton_mm_2781 0.0205 ms 99.2% triton_mm_2775 0.0208 ms 98.2% triton_mm_2777 0.0208 ms 98.2% triton_mm_2779 0.0216 ms 94.5% triton_mm_2784 0.0216 ms 94.5% triton_mm_2774 0.0217 ms 94.1% triton_mm_2783 0.0228 ms 89.5% triton_mm_2785 0.0228 ms 89.5% SingleProcess AUTOTUNE benchmarking takes 2.1511 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3611 ms 100.0% triton_mm_2821 0.3904 ms 92.5% triton_mm_2822 0.3975 ms 90.8% triton_mm_2823 0.4092 ms 88.2% triton_mm_2816 0.4884 ms 73.9% triton_mm_2814 0.4922 ms 73.4% triton_mm_2818 0.4923 ms 73.4% triton_mm_2817 0.5237 ms 69.0% triton_mm_2819 0.5351 ms 67.5% triton_mm_2815 0.5483 ms 65.9% SingleProcess AUTOTUNE benchmarking takes 2.5670 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2756 0.0323 ms 100.0% mm 0.0326 ms 98.9% triton_mm_2760 0.0347 ms 93.0% triton_mm_2764 0.0462 ms 69.8% triton_mm_2768 0.0588 ms 54.9% triton_mm_2755 0.0614 ms 52.6% triton_mm_2754 0.0652 ms 49.5% triton_mm_2759 0.0702 ms 46.0% triton_mm_2763 0.0717 ms 45.0% triton_mm_2753 0.0770 ms 41.9% SingleProcess AUTOTUNE benchmarking takes 2.1052 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2802 0.3880 ms 100.0% mm 0.3882 ms 100.0% triton_mm_2803 0.4060 ms 95.6% triton_mm_2804 0.4375 ms 88.7% triton_mm_2795 0.4749 ms 81.7% triton_mm_2797 0.4777 ms 81.2% triton_mm_2799 0.4888 ms 79.4% triton_mm_2796 0.5100 ms 76.1% triton_mm_2800 0.5458 ms 71.1% triton_mm_2798 0.5595 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5598 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2729 ms 100.0% triton_mm_2916 0.2812 ms 97.0% triton_mm_2917 0.2889 ms 94.4% triton_mm_2918 0.2985 ms 91.4% triton_mm_2911 0.3492 ms 78.1% triton_mm_2912 0.3583 ms 76.2% triton_mm_2909 0.3679 ms 74.2% triton_mm_2913 0.3719 ms 73.4% triton_mm_2910 0.3849 ms 70.9% triton_mm_2914 0.3987 ms 68.4% SingleProcess AUTOTUNE benchmarking takes 2.5492 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2935 0.2943 ms 100.0% mm 0.2986 ms 98.5% triton_mm_2936 0.2988 ms 98.5% triton_mm_2937 0.3058 ms 96.2% triton_mm_2928 0.3580 ms 82.2% triton_mm_2930 0.3594 ms 81.9% triton_mm_2932 0.3599 ms 81.8% triton_mm_2931 0.3889 ms 75.7% triton_mm_2933 0.4031 ms 73.0% triton_mm_2929 0.4073 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5474 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0958 ms 100.0% triton_mm_2899 0.1021 ms 93.8% triton_mm_2898 0.1083 ms 88.5% triton_mm_2897 0.1214 ms 78.9% triton_mm_2892 0.1237 ms 77.5% triton_mm_2894 0.1261 ms 76.0% triton_mm_2890 0.1262 ms 75.9% triton_mm_2893 0.1296 ms 73.9% triton_mm_2895 0.1341 ms 71.4% triton_mm_2891 0.1360 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.4525 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0991 ms 100.0% triton_mm_2878 0.1012 ms 98.0% triton_mm_2879 0.1048 ms 94.6% triton_mm_2880 0.1110 ms 89.3% triton_mm_2871 0.1260 ms 78.7% triton_mm_2873 0.1271 ms 78.0% triton_mm_2875 0.1273 ms 77.9% triton_mm_2872 0.1307 ms 75.9% triton_mm_2876 0.1392 ms 71.2% triton_mm_2874 0.1448 ms 68.4% SingleProcess AUTOTUNE benchmarking takes 2.4568 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3882 ms 100.0% triton_mm_2988 0.3886 ms 99.9% triton_mm_2989 0.4068 ms 95.4% triton_mm_2990 0.4392 ms 88.4% triton_mm_2981 0.4777 ms 81.3% triton_mm_2983 0.4798 ms 80.9% triton_mm_2985 0.4897 ms 79.3% triton_mm_2982 0.5092 ms 76.2% triton_mm_2986 0.5456 ms 71.2% triton_mm_2984 0.5599 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5644 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3863 ms 100.0% triton_mm_3174 0.3877 ms 99.6% triton_mm_3175 0.4054 ms 95.3% triton_mm_3176 0.4391 ms 88.0% triton_mm_3167 0.4767 ms 81.0% triton_mm_3169 0.4801 ms 80.5% triton_mm_3171 0.4898 ms 78.9% triton_mm_3168 0.5086 ms 76.0% triton_mm_3172 0.5439 ms 71.0% triton_mm_3170 0.5606 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 2.5688 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3868 ms 100.0% triton_mm_3360 0.3873 ms 99.9% triton_mm_3361 0.4047 ms 95.6% triton_mm_3362 0.4382 ms 88.3% triton_mm_3353 0.4800 ms 80.6% triton_mm_3355 0.4817 ms 80.3% triton_mm_3357 0.4884 ms 79.2% triton_mm_3354 0.5095 ms 75.9% triton_mm_3358 0.5471 ms 70.7% triton_mm_3356 0.5590 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5632 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.0988 ms 100.0% triton_mm_4663 0.1032 ms 95.8% triton_mm_4659 0.1186 ms 83.3% triton_mm_4657 0.1186 ms 83.3% triton_mm_4655 0.1189 ms 83.1% mm 0.1211 ms 81.6% triton_mm_4664 0.1281 ms 77.1% triton_mm_4656 0.1287 ms 76.7% triton_mm_4660 0.1324 ms 74.6% triton_mm_4658 0.1555 ms 63.5% SingleProcess AUTOTUNE benchmarking takes 11.0276 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) mm 0.2352 ms 100.0% triton_mm_4700 0.2362 ms 99.6% triton_mm_4701 0.2459 ms 95.6% triton_mm_4702 0.2593 ms 90.7% triton_mm_4695 0.2990 ms 78.7% triton_mm_4693 0.3000 ms 78.4% triton_mm_4697 0.3008 ms 78.2% triton_mm_4696 0.3196 ms 73.6% triton_mm_4694 0.3311 ms 71.0% triton_mm_4698 0.3340 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 10.5471 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2429 ms 100.0% triton_mm_4719 0.2803 ms 86.7% triton_mm_4720 0.2875 ms 84.5% triton_mm_4721 0.2950 ms 82.3% triton_mm_4716 0.3154 ms 77.0% triton_mm_4712 0.3171 ms 76.6% triton_mm_4715 0.3235 ms 75.1% triton_mm_4714 0.3257 ms 74.6% triton_mm_4717 0.3308 ms 73.4% triton_mm_4713 0.3370 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 10.0315 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1662 ms 100.0% triton_mm_4757 0.1797 ms 92.5% triton_mm_4752 0.1817 ms 91.5% triton_mm_4750 0.1834 ms 90.6% triton_mm_4754 0.1839 ms 90.4% triton_mm_4758 0.1885 ms 88.2% triton_mm_4753 0.1931 ms 86.1% triton_mm_4759 0.1940 ms 85.7% triton_mm_4755 0.2044 ms 81.3% triton_mm_4751 0.2067 ms 80.4% SingleProcess AUTOTUNE benchmarking takes 10.1420 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0947 ms 100.0% triton_mm_4683 0.0994 ms 95.3% triton_mm_4682 0.1084 ms 87.4% triton_mm_4676 0.1171 ms 80.8% triton_mm_4681 0.1206 ms 78.5% triton_mm_4674 0.1218 ms 77.8% triton_mm_4678 0.1248 ms 75.9% triton_mm_4677 0.1271 ms 74.5% triton_mm_4679 0.1311 ms 72.2% triton_mm_4675 0.1338 ms 70.8% SingleProcess AUTOTUNE benchmarking takes 10.1655 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1489 ms 100.0% triton_mm_4738 0.1541 ms 96.6% triton_mm_4739 0.1576 ms 94.5% triton_mm_4740 0.1660 ms 89.7% triton_mm_4733 0.1905 ms 78.1% triton_mm_4735 0.1966 ms 75.7% triton_mm_4731 0.1979 ms 75.2% triton_mm_4734 0.2053 ms 72.5% triton_mm_4732 0.2086 ms 71.4% triton_mm_4736 0.2129 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.4833 seconds and 0.0010 seconds precompiling AUTOTUNE mm(1280x6840, 6840x32) mm 0.0327 ms 100.0% triton_mm_5880 0.0426 ms 76.8% triton_mm_5887 0.0436 ms 75.0% triton_mm_5878 0.0551 ms 59.3% triton_mm_5879 0.0629 ms 52.0% triton_mm_5886 0.0651 ms 50.2% triton_mm_5883 0.0672 ms 48.6% triton_mm_5877 0.0677 ms 48.3% triton_mm_5892 0.0687 ms 47.6% triton_mm_5891 0.0747 ms 43.8% SingleProcess AUTOTUNE benchmarking takes 2.0789 seconds and 0.0410 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): Validation Progress: 0%| | 0/44 [00:00 VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: model.safetensors: 0%| | 0.00/346M [00:00 VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler wandb: Using wandb-core as the SDK backend. Please refer to https://wandb.me/wandb-core for more information. wandb: Currently logged in as: kaiqiu. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.18.3 wandb: Run data is saved locally in /home/user/VAR/wandb/run-20241122_202121-4le3uuvb wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run rich-gorge-539 wandb: View project at https://wandb.ai/kaiqiu/VAR wandb: View run at https://wandb.ai/kaiqiu/VAR/runs/4le3uuvb /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_7 0.0292 ms 100.0% triton_mm_6 0.0297 ms 98.5% triton_mm_11 0.0299 ms 97.8% triton_mm_12 0.0302 ms 96.9% triton_mm_8 0.0307 ms 95.3% triton_mm_9 0.0308 ms 95.0% triton_mm_4 0.0308 ms 94.9% triton_mm_3 0.0322 ms 90.9% triton_mm_2 0.0323 ms 90.7% triton_mm_15 0.0323 ms 90.6% SingleProcess AUTOTUNE benchmarking takes 2.1563 seconds and 0.0149 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0272 ms 100.0% triton_mm_29 0.0276 ms 98.8% triton_mm_28 0.0284 ms 95.8% triton_mm_18 0.0288 ms 94.5% triton_mm_24 0.0295 ms 92.4% triton_mm_25 0.0300 ms 90.9% bias_addmm 0.0307 ms 88.6% triton_mm_21 0.0313 ms 86.9% triton_mm_19 0.0341 ms 79.8% triton_mm_31 0.0344 ms 79.2% SingleProcess AUTOTUNE benchmarking takes 2.1862 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_50 0.3057 ms 100.0% triton_mm_51 0.3064 ms 99.8% bias_addmm 0.3358 ms 91.0% triton_mm_52 0.3463 ms 88.3% triton_mm_45 0.3590 ms 85.2% triton_mm_43 0.3776 ms 81.0% triton_mm_47 0.3818 ms 80.1% triton_mm_44 0.4229 ms 72.3% addmm 0.4290 ms 71.3% triton_mm_48 0.4362 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.6195 seconds and 0.0216 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1056 ms 100.0% triton_mm_69 0.1079 ms 97.9% triton_mm_71 0.1167 ms 90.5% bias_addmm 0.1214 ms 87.0% triton_mm_64 0.1263 ms 83.6% addmm 0.1299 ms 81.3% triton_mm_66 0.1321 ms 80.0% triton_mm_62 0.1337 ms 79.0% triton_mm_63 0.1476 ms 71.6% triton_mm_67 0.1502 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5369 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.4066 ms 100.0% triton_mm_88 0.4116 ms 98.8% triton_mm_90 0.4614 ms 88.1% triton_mm_83 0.4759 ms 85.4% triton_mm_81 0.5069 ms 80.2% triton_mm_85 0.5095 ms 79.8% addmm 0.5172 ms 78.6% triton_mm_82 0.5678 ms 71.6% triton_mm_84 0.5700 ms 71.3% triton_mm_86 0.5800 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.6701 seconds and 0.5127 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3707 ms 100.0% triton_mm_107 0.3887 ms 95.4% triton_mm_109 0.3933 ms 94.2% addmm 0.4277 ms 86.7% bias_addmm 0.4360 ms 85.0% triton_mm_102 0.4674 ms 79.3% triton_mm_103 0.4848 ms 76.5% triton_mm_100 0.4867 ms 76.2% triton_mm_104 0.4913 ms 75.4% triton_mm_105 0.5442 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.6799 seconds and 0.1899 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_126 0.0273 ms 100.0% triton_mm_122 0.0275 ms 99.2% triton_mm_121 0.0284 ms 95.9% triton_mm_111 0.0289 ms 94.5% triton_mm_117 0.0294 ms 92.8% triton_mm_118 0.0300 ms 91.0% bias_addmm 0.0305 ms 89.5% triton_mm_114 0.0307 ms 88.8% triton_mm_113 0.0336 ms 81.2% triton_mm_112 0.0341 ms 80.0% SingleProcess AUTOTUNE benchmarking takes 2.1929 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3692 ms 100.0% triton_mm_200 0.3868 ms 95.4% addmm 0.3884 ms 95.1% triton_mm_202 0.3980 ms 92.8% bias_addmm 0.4369 ms 84.5% triton_mm_195 0.4651 ms 79.4% triton_mm_196 0.4829 ms 76.5% triton_mm_193 0.4859 ms 76.0% triton_mm_197 0.4916 ms 75.1% triton_mm_198 0.5443 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 2.6703 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_219 0.0262 ms 100.0% triton_mm_215 0.0280 ms 93.5% triton_mm_210 0.0284 ms 92.3% triton_mm_204 0.0289 ms 90.7% triton_mm_214 0.0294 ms 89.0% bias_addmm 0.0296 ms 88.3% triton_mm_211 0.0300 ms 87.2% triton_mm_207 0.0306 ms 85.5% triton_mm_205 0.0330 ms 79.3% triton_mm_213 0.0334 ms 78.4% SingleProcess AUTOTUNE benchmarking takes 2.1878 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_405 0.0273 ms 100.0% triton_mm_401 0.0275 ms 99.3% triton_mm_396 0.0284 ms 96.4% triton_mm_400 0.0284 ms 96.3% triton_mm_390 0.0299 ms 91.4% triton_mm_397 0.0305 ms 89.6% triton_mm_393 0.0306 ms 89.2% bias_addmm 0.0312 ms 87.5% triton_mm_391 0.0330 ms 82.8% triton_mm_392 0.0336 ms 81.4% SingleProcess AUTOTUNE benchmarking takes 2.1816 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_498 0.0273 ms 100.0% triton_mm_494 0.0275 ms 99.1% triton_mm_483 0.0288 ms 94.6% triton_mm_489 0.0295 ms 92.3% triton_mm_493 0.0296 ms 92.2% triton_mm_490 0.0300 ms 91.0% triton_mm_486 0.0312 ms 87.4% bias_addmm 0.0312 ms 87.3% triton_mm_484 0.0331 ms 82.5% triton_mm_496 0.0332 ms 82.1% SingleProcess AUTOTUNE benchmarking takes 2.1798 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1606 ms 100.0% triton_mm_591 0.1616 ms 99.4% triton_mm_593 0.1804 ms 89.1% triton_mm_586 0.1882 ms 85.3% triton_mm_588 0.1976 ms 81.3% triton_mm_584 0.1988 ms 80.8% bias_addmm 0.2159 ms 74.4% triton_mm_585 0.2205 ms 72.8% addmm 0.2241 ms 71.7% triton_mm_589 0.2262 ms 71.0% SingleProcess AUTOTUNE benchmarking takes 2.5650 seconds and 0.0103 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_610 0.2402 ms 100.0% triton_mm_611 0.2420 ms 99.3% bias_addmm 0.2592 ms 92.7% triton_mm_612 0.2650 ms 90.6% triton_mm_605 0.2974 ms 80.8% addmm 0.2984 ms 80.5% triton_mm_603 0.3021 ms 79.5% triton_mm_607 0.3079 ms 78.0% triton_mm_606 0.3300 ms 72.8% triton_mm_608 0.3451 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.6453 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0914 ms 100.0% triton_mm_630 0.0935 ms 97.7% triton_mm_631 0.0988 ms 92.6% triton_mm_629 0.0996 ms 91.7% triton_mm_624 0.1138 ms 80.3% triton_mm_626 0.1145 ms 79.8% triton_mm_622 0.1165 ms 78.4% triton_mm_625 0.1273 ms 71.8% triton_mm_623 0.1325 ms 69.0% triton_mm_627 0.1330 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.4293 seconds and 0.0011 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1942 0.0143 ms 100.0% triton_mm_1938 0.0155 ms 92.0% triton_mm_1946 0.0156 ms 91.2% triton_mm_1950 0.0179 ms 79.8% triton_mm_1935 0.0187 ms 76.2% triton_mm_1937 0.0191 ms 74.7% triton_mm_1936 0.0193 ms 74.0% triton_mm_1941 0.0200 ms 71.4% triton_mm_1945 0.0209 ms 68.3% triton_mm_1948 0.0218 ms 65.6% SingleProcess AUTOTUNE benchmarking takes 7.4075 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5255 ms 100.0% triton_mm_1968 2.5662 ms 98.4% triton_mm_1967 2.6007 ms 97.1% triton_mm_1969 2.8641 ms 88.2% triton_mm_1962 3.0374 ms 83.1% triton_mm_1964 3.2263 ms 78.3% addmm 3.2303 ms 78.2% triton_mm_1960 3.3479 ms 75.4% triton_mm_1963 3.6518 ms 69.2% triton_mm_1965 3.6685 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 12.6057 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) mm 2.2130 ms 100.0% triton_mm_2005 2.3084 ms 95.9% triton_mm_2006 2.3760 ms 93.1% triton_mm_2007 2.4920 ms 88.8% triton_mm_2000 2.9636 ms 74.7% triton_mm_1998 2.9807 ms 74.2% triton_mm_2002 3.1088 ms 71.2% triton_mm_2001 3.1625 ms 70.0% triton_mm_2003 3.2507 ms 68.1% triton_mm_1999 3.3023 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 11.3978 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3555 ms 100.0% triton_mm_2077 0.3800 ms 93.6% triton_mm_2078 0.3854 ms 92.3% triton_mm_2079 0.4572 ms 77.8% triton_mm_2072 0.4731 ms 75.1% triton_mm_2074 0.4777 ms 74.4% triton_mm_2070 0.4797 ms 74.1% triton_mm_2073 0.5076 ms 70.0% triton_mm_2075 0.5198 ms 68.4% triton_mm_2071 0.5334 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 9.7564 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2036 0.0129 ms 100.0% triton_mm_2037 0.0129 ms 100.0% triton_mm_2030 0.0131 ms 99.0% triton_mm_2031 0.0133 ms 97.1% triton_mm_2032 0.0133 ms 97.1% triton_mm_2039 0.0138 ms 94.0% triton_mm_2033 0.0138 ms 93.5% triton_mm_2034 0.0138 ms 93.5% triton_mm_2027 0.0139 ms 93.1% triton_mm_2038 0.0139 ms 93.1% SingleProcess AUTOTUNE benchmarking takes 2.1315 seconds and 0.0008 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2012 0.0169 ms 100.0% triton_mm_2016 0.0188 ms 89.7% mm 0.0191 ms 88.3% triton_mm_2020 0.0222 ms 76.0% triton_mm_2011 0.0252 ms 67.0% triton_mm_2024 0.0258 ms 65.4% triton_mm_2010 0.0271 ms 62.3% triton_mm_2015 0.0281 ms 60.1% triton_mm_2019 0.0284 ms 59.5% triton_mm_2009 0.0303 ms 55.6% SingleProcess AUTOTUNE benchmarking takes 2.1048 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3379 ms 100.0% triton_mm_1986 2.3408 ms 99.9% triton_mm_1987 2.3808 ms 98.2% triton_mm_1988 2.4322 ms 96.1% triton_mm_1982 3.1164 ms 75.0% triton_mm_1980 3.2127 ms 72.8% triton_mm_1979 3.2306 ms 72.4% triton_mm_1981 3.2612 ms 71.7% triton_mm_1984 3.3133 ms 70.6% triton_mm_1983 3.4713 ms 67.3% SingleProcess AUTOTUNE benchmarking takes 3.0121 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3774 ms 100.0% mm 0.3835 ms 98.4% triton_mm_2059 0.3935 ms 95.9% triton_mm_2051 0.4582 ms 82.4% triton_mm_2053 0.4655 ms 81.1% triton_mm_2055 0.4752 ms 79.4% triton_mm_2052 0.4920 ms 76.7% triton_mm_2060 0.4972 ms 75.9% triton_mm_2056 0.5296 ms 71.3% triton_mm_2054 0.5419 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 10.9632 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) triton_mm_2096 0.3630 ms 100.0% triton_mm_2097 0.3698 ms 98.2% triton_mm_2098 0.3826 ms 94.9% mm 0.3948 ms 91.9% triton_mm_2091 0.4540 ms 80.0% triton_mm_2092 0.4654 ms 78.0% triton_mm_2089 0.4757 ms 76.3% triton_mm_2093 0.4775 ms 76.0% triton_mm_2090 0.4996 ms 72.7% triton_mm_2094 0.5196 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5750 seconds and 0.8928 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3716 ms 100.0% mm 0.3786 ms 98.2% triton_mm_2116 0.3840 ms 96.8% triton_mm_2117 0.3980 ms 93.4% triton_mm_2110 0.4660 ms 79.8% triton_mm_2108 0.4769 ms 77.9% triton_mm_2112 0.4786 ms 77.6% triton_mm_2111 0.5052 ms 73.6% triton_mm_2113 0.5236 ms 71.0% triton_mm_2109 0.5293 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5656 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2172 0.2725 ms 100.0% triton_mm_2173 0.2804 ms 97.2% triton_mm_2174 0.2906 ms 93.8% mm 0.3017 ms 90.3% triton_mm_2167 0.3424 ms 79.6% triton_mm_2168 0.3521 ms 77.4% triton_mm_2165 0.3579 ms 76.1% triton_mm_2169 0.3619 ms 75.3% triton_mm_2166 0.3744 ms 72.8% triton_mm_2170 0.3864 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 2.5301 seconds and 0.0009 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2834 ms 100.0% triton_mm_2192 0.2866 ms 98.9% mm 0.2877 ms 98.5% triton_mm_2193 0.2943 ms 96.3% triton_mm_2184 0.3448 ms 82.2% triton_mm_2186 0.3448 ms 82.2% triton_mm_2188 0.3470 ms 81.7% triton_mm_2187 0.3737 ms 75.8% triton_mm_2189 0.3865 ms 73.3% triton_mm_2185 0.3915 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 9.6878 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0935 ms 100.0% triton_mm_2155 0.0985 ms 95.0% triton_mm_2154 0.1086 ms 86.1% triton_mm_2148 0.1203 ms 77.8% triton_mm_2153 0.1218 ms 76.8% triton_mm_2150 0.1223 ms 76.5% triton_mm_2146 0.1228 ms 76.1% triton_mm_2149 0.1263 ms 74.1% triton_mm_2151 0.1308 ms 71.5% triton_mm_2147 0.1337 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 9.6665 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0959 ms 100.0% triton_mm_2134 0.0992 ms 96.7% triton_mm_2135 0.1020 ms 94.1% triton_mm_2127 0.1230 ms 78.0% triton_mm_2129 0.1230 ms 78.0% triton_mm_2131 0.1231 ms 77.9% triton_mm_2128 0.1269 ms 75.6% triton_mm_2136 0.1345 ms 71.3% triton_mm_2132 0.1357 ms 70.7% triton_mm_2130 0.1449 ms 66.2% SingleProcess AUTOTUNE benchmarking takes 10.7977 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2222 0.0202 ms 100.0% triton_mm_2223 0.0203 ms 99.7% triton_mm_2220 0.0212 ms 95.3% triton_mm_2226 0.0214 ms 94.6% triton_mm_2219 0.0215 ms 93.9% triton_mm_2217 0.0216 ms 93.8% triton_mm_2216 0.0224 ms 90.2% triton_mm_2221 0.0225 ms 90.0% triton_mm_2227 0.0227 ms 89.3% triton_mm_2225 0.0227 ms 89.1% SingleProcess AUTOTUNE benchmarking takes 5.7402 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3535 ms 100.0% triton_mm_2263 0.3786 ms 93.4% triton_mm_2264 0.3867 ms 91.4% triton_mm_2265 0.3982 ms 88.8% triton_mm_2258 0.4759 ms 74.3% triton_mm_2260 0.4795 ms 73.7% triton_mm_2256 0.4799 ms 73.7% triton_mm_2259 0.5104 ms 69.3% triton_mm_2261 0.5214 ms 67.8% triton_mm_2257 0.5335 ms 66.3% SingleProcess AUTOTUNE benchmarking takes 2.5607 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0321 ms 100.0% triton_mm_2198 0.0322 ms 99.5% triton_mm_2202 0.0356 ms 89.9% triton_mm_2206 0.0459 ms 69.9% triton_mm_2210 0.0591 ms 54.3% triton_mm_2197 0.0614 ms 52.2% triton_mm_2196 0.0650 ms 49.3% triton_mm_2201 0.0708 ms 45.3% triton_mm_2205 0.0723 ms 44.4% triton_mm_2195 0.0765 ms 41.9% SingleProcess AUTOTUNE benchmarking takes 2.0777 seconds and 0.0008 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2244 0.3791 ms 100.0% mm 0.3823 ms 99.2% triton_mm_2245 0.3978 ms 95.3% triton_mm_2246 0.4305 ms 88.1% triton_mm_2237 0.4676 ms 81.1% triton_mm_2239 0.4694 ms 80.8% triton_mm_2241 0.4786 ms 79.2% triton_mm_2238 0.4973 ms 76.2% triton_mm_2242 0.5388 ms 70.4% triton_mm_2240 0.5500 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 2.5582 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2301 0.3722 ms 100.0% mm 0.3792 ms 98.2% triton_mm_2302 0.3855 ms 96.5% triton_mm_2303 0.4008 ms 92.9% triton_mm_2296 0.4664 ms 79.8% triton_mm_2294 0.4768 ms 78.1% triton_mm_2298 0.4789 ms 77.7% triton_mm_2297 0.5067 ms 73.5% triton_mm_2299 0.5233 ms 71.1% triton_mm_2295 0.5320 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.5646 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2647 ms 100.0% triton_mm_2358 0.2731 ms 96.9% triton_mm_2359 0.2816 ms 94.0% triton_mm_2360 0.2914 ms 90.9% triton_mm_2353 0.3430 ms 77.2% triton_mm_2354 0.3530 ms 75.0% triton_mm_2351 0.3593 ms 73.7% triton_mm_2355 0.3638 ms 72.8% triton_mm_2352 0.3755 ms 70.5% triton_mm_2356 0.3875 ms 68.3% SingleProcess AUTOTUNE benchmarking takes 2.5284 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2885 ms 100.0% mm 0.2906 ms 99.3% triton_mm_2378 0.2926 ms 98.6% triton_mm_2379 0.2993 ms 96.4% triton_mm_2372 0.3504 ms 82.3% triton_mm_2370 0.3528 ms 81.8% triton_mm_2374 0.3535 ms 81.6% triton_mm_2373 0.3808 ms 75.7% triton_mm_2375 0.3943 ms 73.2% triton_mm_2371 0.3986 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 2.5268 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0934 ms 100.0% triton_mm_2341 0.0988 ms 94.6% triton_mm_2340 0.1079 ms 86.6% triton_mm_2334 0.1214 ms 76.9% triton_mm_2339 0.1225 ms 76.2% triton_mm_2332 0.1238 ms 75.5% triton_mm_2336 0.1239 ms 75.4% triton_mm_2335 0.1281 ms 72.9% triton_mm_2337 0.1313 ms 71.1% triton_mm_2333 0.1342 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.4275 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0964 ms 100.0% triton_mm_2320 0.0997 ms 96.6% triton_mm_2321 0.1023 ms 94.2% triton_mm_2322 0.1096 ms 87.9% triton_mm_2313 0.1235 ms 78.0% triton_mm_2317 0.1247 ms 77.3% triton_mm_2315 0.1250 ms 77.1% triton_mm_2314 0.1277 ms 75.4% triton_mm_2318 0.1373 ms 70.2% triton_mm_2316 0.1455 ms 66.2% SingleProcess AUTOTUNE benchmarking takes 2.4303 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2406 0.0203 ms 100.0% triton_mm_2408 0.0203 ms 99.8% triton_mm_2409 0.0214 ms 94.8% triton_mm_2407 0.0215 ms 94.3% triton_mm_2402 0.0216 ms 94.1% triton_mm_2403 0.0216 ms 93.8% triton_mm_2405 0.0217 ms 93.6% triton_mm_2410 0.0219 ms 92.7% triton_mm_2404 0.0221 ms 91.6% triton_mm_2412 0.0224 ms 90.7% SingleProcess AUTOTUNE benchmarking takes 2.1301 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3522 ms 100.0% triton_mm_2449 0.3812 ms 92.4% triton_mm_2450 0.3894 ms 90.5% triton_mm_2451 0.4010 ms 87.8% triton_mm_2444 0.4780 ms 73.7% triton_mm_2446 0.4832 ms 72.9% triton_mm_2442 0.4855 ms 72.5% triton_mm_2445 0.5128 ms 68.7% triton_mm_2447 0.5259 ms 67.0% triton_mm_2443 0.5393 ms 65.3% SingleProcess AUTOTUNE benchmarking takes 2.5541 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0322 ms 100.0% triton_mm_2384 0.0333 ms 96.7% triton_mm_2388 0.0356 ms 90.2% triton_mm_2392 0.0465 ms 69.2% triton_mm_2396 0.0593 ms 54.3% triton_mm_2383 0.0614 ms 52.4% triton_mm_2382 0.0656 ms 49.0% triton_mm_2387 0.0708 ms 45.4% triton_mm_2391 0.0716 ms 44.9% triton_mm_2381 0.0772 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 2.0769 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2430 0.3791 ms 100.0% mm 0.3793 ms 99.9% triton_mm_2431 0.3965 ms 95.6% triton_mm_2432 0.4286 ms 88.4% triton_mm_2423 0.4658 ms 81.4% triton_mm_2425 0.4689 ms 80.8% triton_mm_2427 0.4783 ms 79.2% triton_mm_2424 0.4962 ms 76.4% triton_mm_2428 0.5377 ms 70.5% triton_mm_2426 0.5487 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5614 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2648 ms 100.0% triton_mm_2544 0.2751 ms 96.3% triton_mm_2545 0.2826 ms 93.7% triton_mm_2546 0.2919 ms 90.7% triton_mm_2539 0.3436 ms 77.1% triton_mm_2540 0.3545 ms 74.7% triton_mm_2537 0.3597 ms 73.6% triton_mm_2541 0.3623 ms 73.1% triton_mm_2538 0.3774 ms 70.2% triton_mm_2542 0.3891 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.5252 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2885 ms 100.0% mm 0.2898 ms 99.6% triton_mm_2564 0.2928 ms 98.5% triton_mm_2565 0.2997 ms 96.3% triton_mm_2556 0.3505 ms 82.3% triton_mm_2558 0.3517 ms 82.0% triton_mm_2560 0.3532 ms 81.7% triton_mm_2559 0.3818 ms 75.6% triton_mm_2561 0.3919 ms 73.6% triton_mm_2557 0.3991 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5310 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0932 ms 100.0% triton_mm_2527 0.0988 ms 94.3% triton_mm_2526 0.1086 ms 85.8% triton_mm_2520 0.1202 ms 77.5% triton_mm_2525 0.1224 ms 76.2% triton_mm_2522 0.1226 ms 76.0% triton_mm_2518 0.1238 ms 75.3% triton_mm_2521 0.1268 ms 73.5% triton_mm_2523 0.1314 ms 70.9% triton_mm_2519 0.1340 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.4272 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0964 ms 100.0% triton_mm_2506 0.0998 ms 96.6% triton_mm_2507 0.1024 ms 94.2% triton_mm_2508 0.1102 ms 87.4% triton_mm_2503 0.1233 ms 78.2% triton_mm_2499 0.1236 ms 78.0% triton_mm_2501 0.1244 ms 77.5% triton_mm_2500 0.1275 ms 75.6% triton_mm_2504 0.1369 ms 70.4% triton_mm_2502 0.1448 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.4259 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2592 0.0203 ms 100.0% triton_mm_2595 0.0203 ms 99.8% triton_mm_2594 0.0213 ms 95.2% triton_mm_2598 0.0214 ms 94.8% triton_mm_2593 0.0215 ms 94.3% triton_mm_2589 0.0216 ms 93.8% triton_mm_2591 0.0219 ms 92.7% triton_mm_2596 0.0219 ms 92.7% triton_mm_2590 0.0221 ms 91.6% triton_mm_2588 0.0227 ms 89.4% SingleProcess AUTOTUNE benchmarking takes 3.2942 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3530 ms 100.0% triton_mm_2635 0.3810 ms 92.7% triton_mm_2636 0.3886 ms 90.8% triton_mm_2637 0.4022 ms 87.8% triton_mm_2630 0.4797 ms 73.6% triton_mm_2632 0.4829 ms 73.1% triton_mm_2628 0.4847 ms 72.8% triton_mm_2631 0.5139 ms 68.7% triton_mm_2633 0.5258 ms 67.1% triton_mm_2629 0.5382 ms 65.6% SingleProcess AUTOTUNE benchmarking takes 2.5605 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0322 ms 100.0% triton_mm_2570 0.0323 ms 99.8% triton_mm_2574 0.0357 ms 90.1% triton_mm_2578 0.0465 ms 69.2% triton_mm_2582 0.0580 ms 55.5% triton_mm_2569 0.0614 ms 52.5% triton_mm_2568 0.0657 ms 49.0% triton_mm_2573 0.0701 ms 45.9% triton_mm_2577 0.0716 ms 45.0% triton_mm_2567 0.0772 ms 41.7% SingleProcess AUTOTUNE benchmarking takes 2.1017 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3778 ms 100.0% triton_mm_2616 0.3803 ms 99.3% triton_mm_2617 0.3976 ms 95.0% triton_mm_2618 0.4309 ms 87.7% triton_mm_2609 0.4669 ms 80.9% triton_mm_2611 0.4726 ms 79.9% triton_mm_2613 0.4824 ms 78.3% triton_mm_2610 0.4981 ms 75.8% triton_mm_2614 0.5380 ms 70.2% triton_mm_2612 0.5476 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.5580 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2777 0.0206 ms 100.0% triton_mm_2780 0.0211 ms 97.9% triton_mm_2781 0.0213 ms 96.7% triton_mm_2774 0.0215 ms 95.8% triton_mm_2778 0.0215 ms 95.8% triton_mm_2775 0.0218 ms 94.7% triton_mm_2782 0.0219 ms 94.3% triton_mm_2776 0.0221 ms 93.2% triton_mm_2784 0.0224 ms 92.3% triton_mm_2779 0.0225 ms 91.9% SingleProcess AUTOTUNE benchmarking takes 2.1577 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3522 ms 100.0% triton_mm_2821 0.3807 ms 92.5% triton_mm_2822 0.3902 ms 90.3% triton_mm_2823 0.4004 ms 88.0% triton_mm_2816 0.4787 ms 73.6% triton_mm_2818 0.4824 ms 73.0% triton_mm_2814 0.4857 ms 72.5% triton_mm_2817 0.5137 ms 68.6% triton_mm_2819 0.5264 ms 66.9% triton_mm_2815 0.5384 ms 65.4% SingleProcess AUTOTUNE benchmarking takes 2.5725 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0321 ms 100.0% triton_mm_2756 0.0333 ms 96.4% triton_mm_2760 0.0346 ms 92.8% triton_mm_2764 0.0454 ms 70.7% triton_mm_2768 0.0580 ms 55.4% triton_mm_2755 0.0614 ms 52.3% triton_mm_2754 0.0657 ms 48.9% triton_mm_2759 0.0708 ms 45.4% triton_mm_2763 0.0716 ms 44.9% triton_mm_2753 0.0771 ms 41.7% SingleProcess AUTOTUNE benchmarking takes 2.1027 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3780 ms 100.0% triton_mm_2802 0.3788 ms 99.8% triton_mm_2803 0.3976 ms 95.1% triton_mm_2804 0.4297 ms 88.0% triton_mm_2795 0.4663 ms 81.1% triton_mm_2797 0.4681 ms 80.7% triton_mm_2799 0.4792 ms 78.9% triton_mm_2796 0.4971 ms 76.0% triton_mm_2800 0.5373 ms 70.3% triton_mm_2798 0.5476 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.5688 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2964 0.0203 ms 100.0% triton_mm_2967 0.0203 ms 99.8% triton_mm_2965 0.0215 ms 94.3% triton_mm_2966 0.0215 ms 94.2% triton_mm_2961 0.0216 ms 93.8% triton_mm_2963 0.0217 ms 93.6% triton_mm_2968 0.0219 ms 92.7% triton_mm_2962 0.0221 ms 91.6% triton_mm_2970 0.0224 ms 90.7% triton_mm_2960 0.0224 ms 90.4% SingleProcess AUTOTUNE benchmarking takes 2.1498 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3529 ms 100.0% triton_mm_3007 0.3811 ms 92.6% triton_mm_3008 0.3897 ms 90.6% triton_mm_3009 0.3991 ms 88.4% triton_mm_3002 0.4785 ms 73.8% triton_mm_3004 0.4845 ms 72.9% triton_mm_3000 0.4867 ms 72.5% triton_mm_3003 0.5136 ms 68.7% triton_mm_3005 0.5228 ms 67.5% triton_mm_3001 0.5380 ms 65.6% SingleProcess AUTOTUNE benchmarking takes 2.5702 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0323 ms 100.0% triton_mm_2942 0.0335 ms 96.4% triton_mm_2946 0.0356 ms 90.5% triton_mm_2950 0.0454 ms 71.0% triton_mm_2954 0.0590 ms 54.7% triton_mm_2941 0.0607 ms 53.1% triton_mm_2940 0.0650 ms 49.6% triton_mm_2945 0.0708 ms 45.5% triton_mm_2949 0.0716 ms 45.0% triton_mm_2939 0.0772 ms 41.8% SingleProcess AUTOTUNE benchmarking takes 2.1079 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3793 ms 100.0% triton_mm_2988 0.3793 ms 100.0% triton_mm_2989 0.3976 ms 95.4% triton_mm_2990 0.4286 ms 88.5% triton_mm_2981 0.4656 ms 81.5% triton_mm_2983 0.4728 ms 80.2% triton_mm_2985 0.4795 ms 79.1% triton_mm_2982 0.4956 ms 76.5% triton_mm_2986 0.5373 ms 70.6% triton_mm_2984 0.5476 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5637 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0321 ms 100.0% triton_mm_3128 0.0323 ms 99.4% triton_mm_3132 0.0356 ms 89.9% triton_mm_3136 0.0464 ms 69.2% triton_mm_3140 0.0580 ms 55.3% triton_mm_3127 0.0614 ms 52.2% triton_mm_3126 0.0656 ms 48.8% triton_mm_3131 0.0701 ms 45.7% triton_mm_3135 0.0723 ms 44.4% triton_mm_3125 0.0773 ms 41.5% SingleProcess AUTOTUNE benchmarking takes 2.0837 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3778 ms 100.0% triton_mm_3174 0.3795 ms 99.6% triton_mm_3175 0.3968 ms 95.2% triton_mm_3176 0.4307 ms 87.7% triton_mm_3167 0.4664 ms 81.0% triton_mm_3169 0.4727 ms 79.9% triton_mm_3171 0.4777 ms 79.1% triton_mm_3168 0.4977 ms 75.9% triton_mm_3172 0.5340 ms 70.7% triton_mm_3170 0.5489 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5564 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0320 ms 100.0% triton_mm_3314 0.0322 ms 99.5% triton_mm_3318 0.0346 ms 92.6% triton_mm_3322 0.0464 ms 69.1% triton_mm_3326 0.0580 ms 55.3% triton_mm_3313 0.0613 ms 52.2% triton_mm_3312 0.0649 ms 49.3% triton_mm_3317 0.0702 ms 45.6% triton_mm_3321 0.0716 ms 44.7% triton_mm_3311 0.0765 ms 41.9% SingleProcess AUTOTUNE benchmarking takes 2.1014 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_3360 0.3773 ms 100.0% mm 0.3817 ms 98.9% triton_mm_3361 0.3969 ms 95.1% triton_mm_3362 0.4290 ms 88.0% triton_mm_3353 0.4661 ms 81.0% triton_mm_3355 0.4688 ms 80.5% triton_mm_3357 0.4783 ms 78.9% triton_mm_3354 0.4969 ms 75.9% triton_mm_3358 0.5389 ms 70.0% triton_mm_3356 0.5492 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 2.5662 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.0971 ms 100.0% triton_mm_4663 0.1033 ms 94.0% triton_mm_4659 0.1164 ms 83.4% triton_mm_4655 0.1168 ms 83.1% triton_mm_4657 0.1179 ms 82.4% mm 0.1209 ms 80.3% triton_mm_4656 0.1265 ms 76.7% triton_mm_4664 0.1289 ms 75.3% triton_mm_4660 0.1323 ms 73.4% triton_mm_4658 0.1534 ms 63.3% SingleProcess AUTOTUNE benchmarking takes 10.6264 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) mm 0.2292 ms 100.0% triton_mm_4700 0.2297 ms 99.7% triton_mm_4701 0.2393 ms 95.8% triton_mm_4695 0.2870 ms 79.8% triton_mm_4693 0.2905 ms 78.9% triton_mm_4697 0.2944 ms 77.8% triton_mm_4702 0.2970 ms 77.2% triton_mm_4696 0.3145 ms 72.9% triton_mm_4694 0.3196 ms 71.7% triton_mm_4698 0.3269 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 10.2674 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2380 ms 100.0% triton_mm_4719 0.2770 ms 85.9% triton_mm_4720 0.2842 ms 83.7% triton_mm_4721 0.2906 ms 81.9% triton_mm_4712 0.3087 ms 77.1% triton_mm_4716 0.3092 ms 77.0% triton_mm_4715 0.3159 ms 75.4% triton_mm_4714 0.3181 ms 74.8% triton_mm_4717 0.3230 ms 73.7% triton_mm_4713 0.3292 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 9.7222 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1628 ms 100.0% triton_mm_4757 0.1764 ms 92.3% triton_mm_4752 0.1768 ms 92.0% triton_mm_4754 0.1798 ms 90.5% triton_mm_4750 0.1804 ms 90.2% triton_mm_4758 0.1867 ms 87.2% triton_mm_4753 0.1882 ms 86.5% triton_mm_4759 0.1908 ms 85.3% triton_mm_4755 0.1998 ms 81.5% triton_mm_4751 0.2024 ms 80.4% SingleProcess AUTOTUNE benchmarking takes 9.8214 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0948 ms 100.0% triton_mm_4683 0.0992 ms 95.5% triton_mm_4682 0.1083 ms 87.6% triton_mm_4676 0.1150 ms 82.4% triton_mm_4681 0.1206 ms 78.6% triton_mm_4674 0.1214 ms 78.1% triton_mm_4678 0.1236 ms 76.7% triton_mm_4677 0.1263 ms 75.0% triton_mm_4679 0.1313 ms 72.2% triton_mm_4675 0.1342 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.4308 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1452 ms 100.0% triton_mm_4738 0.1477 ms 98.3% triton_mm_4739 0.1520 ms 95.6% triton_mm_4740 0.1590 ms 91.3% triton_mm_4733 0.1854 ms 78.3% triton_mm_4735 0.1905 ms 76.2% triton_mm_4731 0.1924 ms 75.5% triton_mm_4732 0.2020 ms 71.9% triton_mm_4734 0.2024 ms 71.8% triton_mm_4736 0.2069 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 10.1090 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6840, 6840x28) mm 0.0402 ms 100.0% triton_mm_5887 0.0473 ms 84.9% triton_mm_5880 0.0478 ms 84.1% triton_mm_5878 0.0574 ms 70.0% triton_mm_5879 0.0638 ms 63.0% triton_mm_5886 0.0689 ms 58.4% triton_mm_5883 0.0716 ms 56.1% triton_mm_5877 0.0717 ms 56.0% triton_mm_5892 0.0731 ms 55.0% triton_mm_5885 0.0784 ms 51.3% SingleProcess AUTOTUNE benchmarking takes 6.6909 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_7 0.0293 ms 100.0% triton_mm_8 0.0298 ms 98.5% triton_mm_6 0.0298 ms 98.4% triton_mm_9 0.0300 ms 97.8% triton_mm_11 0.0301 ms 97.6% triton_mm_4 0.0309 ms 94.8% triton_mm_12 0.0312 ms 94.1% triton_mm_3 0.0322 ms 91.1% triton_mm_2 0.0324 ms 90.7% triton_mm_15 0.0324 ms 90.6% SingleProcess AUTOTUNE benchmarking takes 2.1077 seconds and 0.0168 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0272 ms 100.0% triton_mm_29 0.0282 ms 96.4% bias_addmm 0.0294 ms 92.4% triton_mm_24 0.0295 ms 92.2% triton_mm_28 0.0295 ms 92.0% triton_mm_18 0.0300 ms 90.7% triton_mm_25 0.0301 ms 90.3% triton_mm_21 0.0307 ms 88.4% triton_mm_20 0.0333 ms 81.6% triton_mm_31 0.0335 ms 81.1% SingleProcess AUTOTUNE benchmarking takes 2.1691 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_51 0.3045 ms 100.0% triton_mm_50 0.3061 ms 99.5% bias_addmm 0.3365 ms 90.5% triton_mm_52 0.3417 ms 89.1% triton_mm_45 0.3567 ms 85.4% triton_mm_43 0.3770 ms 80.8% triton_mm_47 0.3796 ms 80.2% addmm 0.3855 ms 79.0% triton_mm_44 0.4191 ms 72.7% triton_mm_46 0.4285 ms 71.1% SingleProcess AUTOTUNE benchmarking takes 2.6816 seconds and 0.0241 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1058 ms 100.0% triton_mm_69 0.1084 ms 97.7% triton_mm_71 0.1169 ms 90.5% bias_addmm 0.1203 ms 88.0% triton_mm_64 0.1255 ms 84.3% addmm 0.1303 ms 81.2% triton_mm_66 0.1313 ms 80.6% triton_mm_62 0.1331 ms 79.5% triton_mm_63 0.1470 ms 72.0% triton_mm_67 0.1493 ms 70.9% SingleProcess AUTOTUNE benchmarking takes 2.5448 seconds and 0.0010 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.4080 ms 100.0% triton_mm_88 0.4119 ms 99.1% triton_mm_90 0.4588 ms 88.9% triton_mm_83 0.4765 ms 85.6% triton_mm_81 0.5067 ms 80.5% triton_mm_85 0.5119 ms 79.7% addmm 0.5184 ms 78.7% triton_mm_82 0.5629 ms 72.5% triton_mm_84 0.5700 ms 71.6% triton_mm_86 0.5808 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.6897 seconds and 0.7479 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3751 ms 100.0% triton_mm_107 0.3933 ms 95.4% triton_mm_109 0.3987 ms 94.1% addmm 0.4282 ms 87.6% bias_addmm 0.4359 ms 86.1% triton_mm_102 0.4697 ms 79.9% triton_mm_100 0.4914 ms 76.3% triton_mm_103 0.4946 ms 75.9% triton_mm_104 0.4949 ms 75.8% triton_mm_105 0.5468 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.6777 seconds and 0.2332 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3735 ms 100.0% triton_mm_200 0.3910 ms 95.5% triton_mm_202 0.3973 ms 94.0% addmm 0.3980 ms 93.8% bias_addmm 0.4359 ms 85.7% triton_mm_195 0.4694 ms 79.6% triton_mm_193 0.4892 ms 76.4% triton_mm_196 0.4912 ms 76.0% triton_mm_197 0.4919 ms 75.9% triton_mm_198 0.5453 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.6855 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_294 0.3739 ms 100.0% triton_mm_293 0.3915 ms 95.5% triton_mm_295 0.3968 ms 94.2% addmm 0.4283 ms 87.3% bias_addmm 0.4366 ms 85.6% triton_mm_288 0.4666 ms 80.1% triton_mm_286 0.4895 ms 76.4% triton_mm_289 0.4910 ms 76.1% triton_mm_290 0.4920 ms 76.0% triton_mm_291 0.5431 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.6826 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_387 0.3720 ms 100.0% triton_mm_386 0.3919 ms 94.9% addmm 0.3948 ms 94.2% triton_mm_388 0.3976 ms 93.6% bias_addmm 0.4359 ms 85.3% triton_mm_381 0.4678 ms 79.5% triton_mm_379 0.4894 ms 76.0% triton_mm_383 0.4924 ms 75.5% triton_mm_382 0.4925 ms 75.5% triton_mm_384 0.5440 ms 68.4% SingleProcess AUTOTUNE benchmarking takes 2.6917 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1628 ms 100.0% triton_mm_591 0.1633 ms 99.6% triton_mm_593 0.1808 ms 90.0% triton_mm_586 0.1914 ms 85.1% triton_mm_588 0.2000 ms 81.4% triton_mm_584 0.2013 ms 80.9% bias_addmm 0.2144 ms 75.9% triton_mm_585 0.2234 ms 72.9% triton_mm_589 0.2274 ms 71.6% triton_mm_587 0.2337 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5641 seconds and 0.0154 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_610 0.2447 ms 100.0% triton_mm_611 0.2455 ms 99.7% bias_addmm 0.2671 ms 91.6% triton_mm_612 0.2700 ms 90.6% triton_mm_605 0.2987 ms 81.9% triton_mm_603 0.3067 ms 79.8% addmm 0.3071 ms 79.7% triton_mm_607 0.3103 ms 78.9% triton_mm_606 0.3332 ms 73.5% triton_mm_608 0.3505 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.6416 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0937 ms 100.0% triton_mm_630 0.0945 ms 99.2% triton_mm_631 0.0996 ms 94.1% triton_mm_629 0.1005 ms 93.2% triton_mm_624 0.1163 ms 80.6% triton_mm_626 0.1172 ms 79.9% triton_mm_622 0.1212 ms 77.3% triton_mm_625 0.1275 ms 73.5% triton_mm_627 0.1329 ms 70.5% triton_mm_623 0.1340 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.4303 seconds and 0.0010 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1938 0.0143 ms 100.0% triton_mm_1942 0.0145 ms 98.2% triton_mm_1950 0.0182 ms 78.2% triton_mm_1935 0.0188 ms 76.1% triton_mm_1946 0.0190 ms 75.3% triton_mm_1937 0.0197 ms 72.6% triton_mm_1941 0.0198 ms 72.2% triton_mm_1936 0.0204 ms 70.1% triton_mm_1945 0.0211 ms 67.8% triton_mm_1948 0.0245 ms 58.3% SingleProcess AUTOTUNE benchmarking takes 7.4358 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5528 ms 100.0% triton_mm_1968 2.5988 ms 98.2% triton_mm_1967 2.6324 ms 97.0% triton_mm_1969 2.9045 ms 87.9% triton_mm_1962 3.0733 ms 83.1% triton_mm_1964 3.2628 ms 78.2% addmm 3.3332 ms 76.6% triton_mm_1960 3.3885 ms 75.3% triton_mm_1963 3.6642 ms 69.7% triton_mm_1965 3.6825 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 12.4012 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.3367 ms 100.0% triton_mm_2006 2.4038 ms 97.2% mm 2.4117 ms 96.9% triton_mm_2007 2.5250 ms 92.5% triton_mm_2000 2.9958 ms 78.0% triton_mm_1998 3.0516 ms 76.6% triton_mm_2001 3.1306 ms 74.6% triton_mm_2002 3.1316 ms 74.6% triton_mm_2003 3.3002 ms 70.8% triton_mm_1999 3.3419 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 10.1069 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3610 ms 100.0% triton_mm_2077 0.3865 ms 93.4% triton_mm_2078 0.3942 ms 91.6% triton_mm_2079 0.4040 ms 89.4% triton_mm_2072 0.4814 ms 75.0% triton_mm_2074 0.4853 ms 74.4% triton_mm_2070 0.4856 ms 74.3% triton_mm_2073 0.5154 ms 70.0% triton_mm_2075 0.5288 ms 68.3% triton_mm_2071 0.5434 ms 66.4% SingleProcess AUTOTUNE benchmarking takes 9.8195 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2035 0.0129 ms 100.0% triton_mm_2038 0.0129 ms 99.8% triton_mm_2034 0.0130 ms 98.8% triton_mm_2030 0.0134 ms 96.3% triton_mm_2029 0.0134 ms 95.7% triton_mm_2036 0.0135 ms 95.5% triton_mm_2032 0.0135 ms 95.4% triton_mm_2031 0.0135 ms 95.3% triton_mm_2033 0.0135 ms 95.3% triton_mm_2037 0.0138 ms 93.5% SingleProcess AUTOTUNE benchmarking takes 5.8927 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2012 0.0169 ms 100.0% triton_mm_2016 0.0176 ms 95.8% mm 0.0193 ms 87.5% triton_mm_2020 0.0211 ms 80.1% triton_mm_2024 0.0258 ms 65.5% triton_mm_2011 0.0259 ms 65.1% triton_mm_2010 0.0271 ms 62.1% triton_mm_2015 0.0289 ms 58.3% triton_mm_2019 0.0293 ms 57.5% triton_mm_2009 0.0296 ms 56.9% SingleProcess AUTOTUNE benchmarking takes 7.2460 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) triton_mm_1986 2.3508 ms 100.0% mm 2.3532 ms 99.9% triton_mm_1987 2.4059 ms 97.7% triton_mm_1988 2.4638 ms 95.4% triton_mm_1982 3.0764 ms 76.4% triton_mm_1981 3.1964 ms 73.5% triton_mm_1979 3.2810 ms 71.6% triton_mm_1980 3.3236 ms 70.7% triton_mm_1984 3.3972 ms 69.2% triton_mm_1983 3.5130 ms 66.9% SingleProcess AUTOTUNE benchmarking takes 3.0048 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3830 ms 100.0% mm 0.3874 ms 98.9% triton_mm_2059 0.4004 ms 95.7% triton_mm_2060 0.4340 ms 88.3% triton_mm_2051 0.4693 ms 81.6% triton_mm_2053 0.4709 ms 81.3% triton_mm_2055 0.4832 ms 79.3% triton_mm_2052 0.5010 ms 76.5% triton_mm_2056 0.5385 ms 71.1% triton_mm_2054 0.5500 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5456 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) triton_mm_2096 0.3693 ms 100.0% triton_mm_2097 0.3766 ms 98.1% triton_mm_2098 0.3886 ms 95.0% mm 0.3943 ms 93.7% triton_mm_2091 0.4593 ms 80.4% triton_mm_2092 0.4718 ms 78.3% triton_mm_2089 0.4823 ms 76.6% triton_mm_2093 0.4863 ms 75.9% triton_mm_2090 0.5072 ms 72.8% triton_mm_2094 0.5241 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 2.5867 seconds and 0.6969 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3778 ms 100.0% triton_mm_2116 0.3905 ms 96.8% mm 0.3912 ms 96.6% triton_mm_2117 0.4055 ms 93.2% triton_mm_2110 0.4746 ms 79.6% triton_mm_2108 0.4822 ms 78.4% triton_mm_2112 0.4853 ms 77.9% triton_mm_2111 0.5132 ms 73.6% triton_mm_2113 0.5321 ms 71.0% triton_mm_2109 0.5383 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5604 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2172 0.2770 ms 100.0% triton_mm_2173 0.2841 ms 97.5% triton_mm_2174 0.2947 ms 94.0% mm 0.3016 ms 91.8% triton_mm_2167 0.3504 ms 79.1% triton_mm_2168 0.3544 ms 78.2% triton_mm_2165 0.3629 ms 76.3% triton_mm_2169 0.3660 ms 75.7% triton_mm_2166 0.3797 ms 73.0% triton_mm_2170 0.3926 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.5367 seconds and 0.0010 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2920 ms 100.0% triton_mm_2192 0.2969 ms 98.4% mm 0.2970 ms 98.3% triton_mm_2193 0.3023 ms 96.6% triton_mm_2184 0.3544 ms 82.4% triton_mm_2186 0.3546 ms 82.3% triton_mm_2188 0.3584 ms 81.5% triton_mm_2187 0.3847 ms 75.9% triton_mm_2189 0.3971 ms 73.5% triton_mm_2185 0.4008 ms 72.9% SingleProcess AUTOTUNE benchmarking takes 2.5343 seconds and 0.0009 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0942 ms 100.0% triton_mm_2154 0.1084 ms 86.9% triton_mm_2155 0.1208 ms 78.0% triton_mm_2153 0.1212 ms 77.7% triton_mm_2148 0.1215 ms 77.5% triton_mm_2150 0.1236 ms 76.2% triton_mm_2146 0.1239 ms 76.0% triton_mm_2149 0.1291 ms 73.0% triton_mm_2151 0.1320 ms 71.3% triton_mm_2147 0.1353 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 9.5618 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0981 ms 100.0% triton_mm_2134 0.1010 ms 97.2% triton_mm_2135 0.1033 ms 95.0% triton_mm_2136 0.1097 ms 89.4% triton_mm_2127 0.1239 ms 79.2% triton_mm_2129 0.1248 ms 78.7% triton_mm_2131 0.1255 ms 78.2% triton_mm_2128 0.1292 ms 76.0% triton_mm_2132 0.1372 ms 71.5% triton_mm_2125 0.1669 ms 58.8% SingleProcess AUTOTUNE benchmarking takes 10.6204 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2222 0.0203 ms 100.0% triton_mm_2223 0.0203 ms 100.0% triton_mm_2220 0.0213 ms 95.6% triton_mm_2226 0.0214 ms 94.9% triton_mm_2216 0.0215 ms 94.6% triton_mm_2221 0.0215 ms 94.4% triton_mm_2219 0.0216 ms 94.1% triton_mm_2217 0.0216 ms 93.9% triton_mm_2218 0.0228 ms 89.3% triton_mm_2224 0.0228 ms 89.2% SingleProcess AUTOTUNE benchmarking takes 5.7436 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3609 ms 100.0% triton_mm_2263 0.3860 ms 93.5% triton_mm_2264 0.3952 ms 91.3% triton_mm_2265 0.4052 ms 89.1% triton_mm_2258 0.4829 ms 74.7% triton_mm_2260 0.4884 ms 73.9% triton_mm_2256 0.4963 ms 72.7% triton_mm_2259 0.5178 ms 69.7% triton_mm_2261 0.5297 ms 68.1% triton_mm_2257 0.5424 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.5587 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2198 0.0323 ms 100.0% mm 0.0324 ms 99.8% triton_mm_2202 0.0347 ms 93.2% triton_mm_2206 0.0465 ms 69.5% triton_mm_2210 0.0585 ms 55.2% triton_mm_2197 0.0612 ms 52.7% triton_mm_2196 0.0659 ms 49.0% triton_mm_2201 0.0711 ms 45.4% triton_mm_2205 0.0720 ms 44.9% triton_mm_2195 0.0773 ms 41.8% SingleProcess AUTOTUNE benchmarking takes 6.4794 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2244 0.3840 ms 100.0% mm 0.3865 ms 99.4% triton_mm_2245 0.4008 ms 95.8% triton_mm_2246 0.4323 ms 88.8% triton_mm_2237 0.4697 ms 81.7% triton_mm_2239 0.4717 ms 81.4% triton_mm_2241 0.4851 ms 79.2% triton_mm_2238 0.4999 ms 76.8% triton_mm_2242 0.5408 ms 71.0% triton_mm_2240 0.5500 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5520 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3617 ms 100.0% triton_mm_2282 0.3713 ms 97.4% triton_mm_2283 0.3782 ms 95.6% triton_mm_2284 0.3893 ms 92.9% triton_mm_2277 0.4618 ms 78.3% triton_mm_2278 0.4754 ms 76.1% triton_mm_2275 0.4858 ms 74.4% triton_mm_2279 0.4877 ms 74.2% triton_mm_2276 0.5114 ms 70.7% triton_mm_2280 0.5273 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5620 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2301 0.3801 ms 100.0% mm 0.3901 ms 97.4% triton_mm_2302 0.3927 ms 96.8% triton_mm_2303 0.4072 ms 93.3% triton_mm_2296 0.4755 ms 79.9% triton_mm_2294 0.4850 ms 78.4% triton_mm_2298 0.4864 ms 78.1% triton_mm_2297 0.5157 ms 73.7% triton_mm_2299 0.5332 ms 71.3% triton_mm_2295 0.5414 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5571 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2938 ms 100.0% mm 0.2941 ms 99.9% triton_mm_2378 0.2975 ms 98.8% triton_mm_2379 0.3032 ms 96.9% triton_mm_2370 0.3555 ms 82.6% triton_mm_2372 0.3560 ms 82.5% triton_mm_2374 0.3580 ms 82.1% triton_mm_2373 0.3863 ms 76.1% triton_mm_2375 0.3980 ms 73.8% triton_mm_2371 0.4038 ms 72.8% SingleProcess AUTOTUNE benchmarking takes 2.5387 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2406 0.0214 ms 100.0% triton_mm_2408 0.0214 ms 100.0% triton_mm_2409 0.0214 ms 99.9% triton_mm_2402 0.0214 ms 99.7% triton_mm_2407 0.0216 ms 99.1% triton_mm_2403 0.0216 ms 98.8% triton_mm_2405 0.0217 ms 98.5% triton_mm_2412 0.0224 ms 95.3% triton_mm_2410 0.0228 ms 93.7% triton_mm_2404 0.0229 ms 93.2% SingleProcess AUTOTUNE benchmarking takes 2.1245 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3596 ms 100.0% triton_mm_2449 0.3869 ms 92.9% triton_mm_2450 0.3955 ms 90.9% triton_mm_2451 0.4061 ms 88.6% triton_mm_2444 0.4839 ms 74.3% triton_mm_2446 0.4876 ms 73.7% triton_mm_2442 0.4884 ms 73.6% triton_mm_2445 0.5182 ms 69.4% triton_mm_2447 0.5316 ms 67.6% triton_mm_2443 0.5447 ms 66.0% SingleProcess AUTOTUNE benchmarking takes 2.5530 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_2384 0.0333 ms 97.2% triton_mm_2388 0.0356 ms 90.8% triton_mm_2392 0.0465 ms 69.6% triton_mm_2396 0.0587 ms 55.1% triton_mm_2383 0.0612 ms 52.8% triton_mm_2382 0.0653 ms 49.6% triton_mm_2387 0.0703 ms 46.0% triton_mm_2391 0.0727 ms 44.5% triton_mm_2381 0.0773 ms 41.9% SingleProcess AUTOTUNE benchmarking takes 2.0804 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2430 0.3851 ms 100.0% mm 0.3852 ms 100.0% triton_mm_2431 0.4034 ms 95.5% triton_mm_2432 0.4354 ms 88.5% triton_mm_2423 0.4704 ms 81.9% triton_mm_2425 0.4734 ms 81.4% triton_mm_2427 0.4852 ms 79.4% triton_mm_2424 0.5052 ms 76.2% triton_mm_2428 0.5381 ms 71.6% triton_mm_2426 0.5564 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5589 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3599 ms 100.0% triton_mm_2468 0.3719 ms 96.8% triton_mm_2469 0.3799 ms 94.7% triton_mm_2470 0.3920 ms 91.8% triton_mm_2463 0.4624 ms 77.8% triton_mm_2464 0.4773 ms 75.4% triton_mm_2461 0.4874 ms 73.8% triton_mm_2465 0.4901 ms 73.4% triton_mm_2462 0.5119 ms 70.3% triton_mm_2466 0.5282 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.5557 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2487 0.3799 ms 100.0% mm 0.3908 ms 97.2% triton_mm_2488 0.3932 ms 96.6% triton_mm_2489 0.4083 ms 93.1% triton_mm_2482 0.4774 ms 79.6% triton_mm_2480 0.4862 ms 78.1% triton_mm_2484 0.4882 ms 77.8% triton_mm_2483 0.5177 ms 73.4% triton_mm_2485 0.5343 ms 71.1% triton_mm_2481 0.5425 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.5544 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2940 ms 100.0% mm 0.2944 ms 99.9% triton_mm_2564 0.2984 ms 98.5% triton_mm_2565 0.3043 ms 96.6% triton_mm_2556 0.3560 ms 82.6% triton_mm_2558 0.3568 ms 82.4% triton_mm_2560 0.3605 ms 81.6% triton_mm_2559 0.3876 ms 75.9% triton_mm_2561 0.3990 ms 73.7% triton_mm_2557 0.4052 ms 72.6% SingleProcess AUTOTUNE benchmarking takes 2.5384 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3588 ms 100.0% triton_mm_2654 0.3707 ms 96.8% triton_mm_2655 0.3788 ms 94.7% triton_mm_2656 0.3904 ms 91.9% triton_mm_2649 0.4624 ms 77.6% triton_mm_2650 0.4759 ms 75.4% triton_mm_2647 0.4854 ms 73.9% triton_mm_2651 0.4876 ms 73.6% triton_mm_2648 0.5118 ms 70.1% triton_mm_2652 0.5286 ms 67.9% SingleProcess AUTOTUNE benchmarking takes 2.5612 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2673 0.3807 ms 100.0% mm 0.3892 ms 97.8% triton_mm_2674 0.3928 ms 96.9% triton_mm_2675 0.4076 ms 93.4% triton_mm_2668 0.4757 ms 80.0% triton_mm_2666 0.4853 ms 78.4% triton_mm_2670 0.4877 ms 78.1% triton_mm_2669 0.5161 ms 73.8% triton_mm_2671 0.5349 ms 71.2% triton_mm_2667 0.5428 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5579 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3626 ms 100.0% triton_mm_2840 0.3713 ms 97.7% triton_mm_2841 0.3773 ms 96.1% triton_mm_2842 0.3890 ms 93.2% triton_mm_2835 0.4610 ms 78.7% triton_mm_2836 0.4772 ms 76.0% triton_mm_2833 0.4864 ms 74.5% triton_mm_2837 0.4880 ms 74.3% triton_mm_2834 0.5112 ms 70.9% triton_mm_2838 0.5270 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5594 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2859 0.3799 ms 100.0% mm 0.3899 ms 97.4% triton_mm_2860 0.3939 ms 96.4% triton_mm_2861 0.4085 ms 93.0% triton_mm_2854 0.4773 ms 79.6% triton_mm_2852 0.4865 ms 78.1% triton_mm_2856 0.4884 ms 77.8% triton_mm_2855 0.5178 ms 73.4% triton_mm_2857 0.5343 ms 71.1% triton_mm_2853 0.5433 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5651 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3578 ms 100.0% triton_mm_3026 0.3708 ms 96.5% triton_mm_3027 0.3781 ms 94.6% triton_mm_3028 0.3896 ms 91.8% triton_mm_3021 0.4615 ms 77.5% triton_mm_3022 0.4741 ms 75.5% triton_mm_3019 0.4854 ms 73.7% triton_mm_3023 0.4880 ms 73.3% triton_mm_3020 0.5089 ms 70.3% triton_mm_3024 0.5244 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.5611 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3045 0.3801 ms 100.0% mm 0.3881 ms 97.9% triton_mm_3046 0.3925 ms 96.9% triton_mm_3047 0.4069 ms 93.4% triton_mm_3040 0.4745 ms 80.1% triton_mm_3038 0.4836 ms 78.6% triton_mm_3042 0.4863 ms 78.2% triton_mm_3041 0.5140 ms 74.0% triton_mm_3043 0.5324 ms 71.4% triton_mm_3039 0.5406 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5530 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3619 ms 100.0% triton_mm_3212 0.3695 ms 97.9% triton_mm_3213 0.3783 ms 95.7% triton_mm_3214 0.3893 ms 93.0% triton_mm_3207 0.4599 ms 78.7% triton_mm_3208 0.4728 ms 76.6% triton_mm_3205 0.4835 ms 74.9% triton_mm_3209 0.4874 ms 74.2% triton_mm_3206 0.5109 ms 70.8% triton_mm_3210 0.5250 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 2.5642 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3231 0.3783 ms 100.0% mm 0.3880 ms 97.5% triton_mm_3232 0.3912 ms 96.7% triton_mm_3233 0.4056 ms 93.3% triton_mm_3226 0.4724 ms 80.1% triton_mm_3224 0.4842 ms 78.1% triton_mm_3228 0.4852 ms 78.0% triton_mm_3227 0.5134 ms 73.7% triton_mm_3229 0.5317 ms 71.1% triton_mm_3225 0.5397 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5579 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3624 ms 100.0% triton_mm_3398 0.3692 ms 98.2% triton_mm_3399 0.3773 ms 96.1% triton_mm_3400 0.3890 ms 93.2% triton_mm_3393 0.4591 ms 78.9% triton_mm_3394 0.4741 ms 76.4% triton_mm_3391 0.4844 ms 74.8% triton_mm_3395 0.4862 ms 74.5% triton_mm_3392 0.5103 ms 71.0% triton_mm_3396 0.5248 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5632 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3417 0.3786 ms 100.0% mm 0.3878 ms 97.6% triton_mm_3418 0.3913 ms 96.7% triton_mm_3419 0.4056 ms 93.3% triton_mm_3412 0.4736 ms 79.9% triton_mm_3410 0.4837 ms 78.3% triton_mm_3414 0.4843 ms 78.2% triton_mm_3413 0.5136 ms 73.7% triton_mm_3415 0.5312 ms 71.3% triton_mm_3411 0.5382 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5588 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3620 ms 100.0% triton_mm_3584 0.3699 ms 97.9% triton_mm_3585 0.3757 ms 96.3% triton_mm_3586 0.3880 ms 93.3% triton_mm_3579 0.4593 ms 78.8% triton_mm_3580 0.4735 ms 76.5% triton_mm_3577 0.4821 ms 75.1% triton_mm_3581 0.4870 ms 74.3% triton_mm_3578 0.5079 ms 71.3% triton_mm_3582 0.5235 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5671 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3603 0.3779 ms 100.0% mm 0.3882 ms 97.4% triton_mm_3604 0.3896 ms 97.0% triton_mm_3605 0.4060 ms 93.1% triton_mm_3598 0.4742 ms 79.7% triton_mm_3596 0.4821 ms 78.4% triton_mm_3600 0.4838 ms 78.1% triton_mm_3599 0.5125 ms 73.7% triton_mm_3601 0.5317 ms 71.1% triton_mm_3597 0.5389 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5658 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.0994 ms 100.0% triton_mm_4663 0.1039 ms 95.7% triton_mm_4655 0.1178 ms 84.4% triton_mm_4657 0.1184 ms 84.0% triton_mm_4659 0.1190 ms 83.5% mm 0.1202 ms 82.7% triton_mm_4656 0.1289 ms 77.1% triton_mm_4664 0.1291 ms 77.0% triton_mm_4660 0.1336 ms 74.4% triton_mm_4658 0.1543 ms 64.4% SingleProcess AUTOTUNE benchmarking takes 10.8751 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) mm 0.2365 ms 100.0% triton_mm_4700 0.2366 ms 100.0% triton_mm_4701 0.2459 ms 96.2% triton_mm_4702 0.2608 ms 90.7% triton_mm_4695 0.2941 ms 80.4% triton_mm_4693 0.2967 ms 79.7% triton_mm_4697 0.3022 ms 78.3% triton_mm_4696 0.3207 ms 73.8% triton_mm_4694 0.3282 ms 72.1% triton_mm_4698 0.3354 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 10.4563 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2425 ms 100.0% triton_mm_4719 0.2806 ms 86.4% triton_mm_4720 0.2883 ms 84.1% triton_mm_4721 0.2934 ms 82.6% triton_mm_4716 0.3164 ms 76.6% triton_mm_4712 0.3169 ms 76.5% triton_mm_4715 0.3242 ms 74.8% triton_mm_4714 0.3257 ms 74.5% triton_mm_4717 0.3318 ms 73.1% triton_mm_4713 0.3379 ms 71.8% SingleProcess AUTOTUNE benchmarking takes 10.0800 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1643 ms 100.0% triton_mm_4757 0.1795 ms 91.5% triton_mm_4752 0.1803 ms 91.1% triton_mm_4750 0.1824 ms 90.0% triton_mm_4754 0.1831 ms 89.7% triton_mm_4758 0.1879 ms 87.4% triton_mm_4753 0.1924 ms 85.4% triton_mm_4759 0.1927 ms 85.2% triton_mm_4755 0.2050 ms 80.1% triton_mm_4751 0.2070 ms 79.4% SingleProcess AUTOTUNE benchmarking takes 2.4925 seconds and 0.0008 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0950 ms 100.0% triton_mm_4683 0.0995 ms 95.5% triton_mm_4682 0.1090 ms 87.2% triton_mm_4676 0.1164 ms 81.7% triton_mm_4681 0.1203 ms 79.0% triton_mm_4674 0.1216 ms 78.1% triton_mm_4678 0.1234 ms 77.0% triton_mm_4677 0.1269 ms 74.9% triton_mm_4679 0.1318 ms 72.1% triton_mm_4675 0.1336 ms 71.1% SingleProcess AUTOTUNE benchmarking takes 2.4458 seconds and 0.0008 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1479 ms 100.0% triton_mm_4738 0.1520 ms 97.3% triton_mm_4739 0.1560 ms 94.8% triton_mm_4733 0.1894 ms 78.1% triton_mm_4740 0.1925 ms 76.9% triton_mm_4735 0.1943 ms 76.1% triton_mm_4731 0.1960 ms 75.5% triton_mm_4734 0.2055 ms 72.0% triton_mm_4732 0.2068 ms 71.6% triton_mm_4736 0.2114 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 10.2870 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6840, 6840x32) mm 0.0309 ms 100.0% triton_mm_5887 0.0430 ms 71.9% triton_mm_5880 0.0438 ms 70.4% triton_mm_5878 0.0555 ms 55.7% triton_mm_5879 0.0641 ms 48.2% triton_mm_5886 0.0653 ms 47.3% triton_mm_5877 0.0671 ms 46.0% triton_mm_5883 0.0682 ms 45.3% triton_mm_5892 0.0690 ms 44.7% triton_mm_5891 0.0752 ms 41.1% SingleProcess AUTOTUNE benchmarking takes 6.5145 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_8 0.0294 ms 100.0% triton_mm_9 0.0299 ms 98.4% triton_mm_7 0.0302 ms 97.6% triton_mm_6 0.0305 ms 96.6% triton_mm_11 0.0309 ms 95.2% triton_mm_12 0.0312 ms 94.3% triton_mm_4 0.0317 ms 92.9% triton_mm_3 0.0319 ms 92.3% triton_mm_2 0.0323 ms 91.2% triton_mm_15 0.0331 ms 88.9% SingleProcess AUTOTUNE benchmarking takes 2.1040 seconds and 0.0191 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0273 ms 100.0% triton_mm_29 0.0282 ms 96.8% triton_mm_18 0.0293 ms 93.1% triton_mm_28 0.0295 ms 92.5% bias_addmm 0.0295 ms 92.4% triton_mm_24 0.0298 ms 91.7% triton_mm_25 0.0302 ms 90.4% triton_mm_21 0.0312 ms 87.4% triton_mm_20 0.0329 ms 83.0% triton_mm_19 0.0330 ms 82.7% SingleProcess AUTOTUNE benchmarking takes 2.1704 seconds and 0.0010 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_51 0.2934 ms 100.0% triton_mm_50 0.2942 ms 99.7% triton_mm_52 0.3287 ms 89.3% bias_addmm 0.3369 ms 87.1% triton_mm_45 0.3439 ms 85.3% triton_mm_43 0.3643 ms 80.5% triton_mm_47 0.3661 ms 80.1% triton_mm_44 0.4055 ms 72.4% triton_mm_48 0.4176 ms 70.3% triton_mm_46 0.4249 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.6083 seconds and 0.0430 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1037 ms 100.0% triton_mm_69 0.1068 ms 97.2% triton_mm_71 0.1156 ms 89.8% bias_addmm 0.1173 ms 88.4% triton_mm_64 0.1230 ms 84.3% addmm 0.1267 ms 81.9% triton_mm_66 0.1289 ms 80.5% triton_mm_62 0.1300 ms 79.8% triton_mm_63 0.1434 ms 72.3% triton_mm_67 0.1471 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 2.5378 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.3964 ms 100.0% triton_mm_88 0.4009 ms 98.9% triton_mm_90 0.4452 ms 89.1% triton_mm_83 0.4611 ms 86.0% triton_mm_81 0.4878 ms 81.3% triton_mm_85 0.4980 ms 79.6% triton_mm_82 0.5450 ms 72.7% triton_mm_84 0.5617 ms 70.6% triton_mm_86 0.5619 ms 70.6% addmm 0.5944 ms 66.7% SingleProcess AUTOTUNE benchmarking takes 2.6809 seconds and 0.4890 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3640 ms 100.0% triton_mm_107 0.3825 ms 95.1% triton_mm_109 0.3860 ms 94.3% addmm 0.4272 ms 85.2% bias_addmm 0.4357 ms 83.5% triton_mm_102 0.4569 ms 79.7% triton_mm_103 0.4759 ms 76.5% triton_mm_104 0.4788 ms 76.0% triton_mm_100 0.4798 ms 75.9% triton_mm_105 0.5303 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.6799 seconds and 0.2209 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_126 0.0264 ms 100.0% triton_mm_122 0.0282 ms 93.8% triton_mm_121 0.0285 ms 92.6% triton_mm_111 0.0292 ms 90.4% triton_mm_117 0.0297 ms 89.1% bias_addmm 0.0306 ms 86.4% triton_mm_118 0.0307 ms 86.2% triton_mm_114 0.0308 ms 85.8% triton_mm_113 0.0329 ms 80.4% triton_mm_112 0.0330 ms 80.0% SingleProcess AUTOTUNE benchmarking takes 2.1896 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3633 ms 100.0% triton_mm_200 0.3817 ms 95.2% triton_mm_202 0.3859 ms 94.1% addmm 0.4272 ms 85.0% bias_addmm 0.4357 ms 83.4% triton_mm_195 0.4569 ms 79.5% triton_mm_196 0.4762 ms 76.3% triton_mm_193 0.4784 ms 75.9% triton_mm_197 0.4791 ms 75.8% triton_mm_198 0.5326 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.6781 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_294 0.3629 ms 100.0% triton_mm_293 0.3822 ms 95.0% triton_mm_295 0.3855 ms 94.1% addmm 0.3870 ms 93.8% bias_addmm 0.4356 ms 83.3% triton_mm_288 0.4580 ms 79.2% triton_mm_289 0.4780 ms 75.9% triton_mm_286 0.4786 ms 75.8% triton_mm_290 0.4788 ms 75.8% triton_mm_291 0.5299 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.6798 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_387 0.3636 ms 100.0% triton_mm_386 0.3827 ms 95.0% triton_mm_388 0.3871 ms 93.9% addmm 0.3883 ms 93.6% bias_addmm 0.4357 ms 83.5% triton_mm_381 0.4572 ms 79.5% triton_mm_382 0.4775 ms 76.2% triton_mm_379 0.4780 ms 76.1% triton_mm_383 0.4786 ms 76.0% triton_mm_384 0.5310 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.6829 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_480 0.3635 ms 100.0% triton_mm_479 0.3822 ms 95.1% triton_mm_481 0.3872 ms 93.9% addmm 0.3882 ms 93.6% bias_addmm 0.4364 ms 83.3% triton_mm_474 0.4586 ms 79.3% triton_mm_475 0.4766 ms 76.3% triton_mm_472 0.4780 ms 76.0% triton_mm_476 0.4793 ms 75.8% triton_mm_477 0.5337 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.6922 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_573 0.3625 ms 100.0% triton_mm_572 0.3812 ms 95.1% triton_mm_574 0.3858 ms 93.9% addmm 0.3883 ms 93.3% bias_addmm 0.4367 ms 83.0% triton_mm_567 0.4560 ms 79.5% triton_mm_568 0.4759 ms 76.2% triton_mm_565 0.4788 ms 75.7% triton_mm_569 0.4794 ms 75.6% triton_mm_570 0.5324 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.6850 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1587 ms 100.0% triton_mm_591 0.1599 ms 99.2% triton_mm_593 0.1784 ms 88.9% triton_mm_586 0.1882 ms 84.3% triton_mm_584 0.1970 ms 80.5% triton_mm_588 0.1974 ms 80.4% bias_addmm 0.2141 ms 74.1% addmm 0.2197 ms 72.2% triton_mm_585 0.2209 ms 71.8% triton_mm_589 0.2244 ms 70.7% SingleProcess AUTOTUNE benchmarking takes 2.6141 seconds and 0.0142 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_611 0.2384 ms 100.0% triton_mm_610 0.2393 ms 99.6% bias_addmm 0.2595 ms 91.9% triton_mm_612 0.2635 ms 90.5% triton_mm_605 0.2946 ms 80.9% addmm 0.2965 ms 80.4% triton_mm_603 0.3012 ms 79.1% triton_mm_607 0.3038 ms 78.5% triton_mm_606 0.3285 ms 72.5% triton_mm_608 0.3440 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.6460 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0907 ms 100.0% triton_mm_630 0.0931 ms 97.4% triton_mm_631 0.0991 ms 91.5% triton_mm_629 0.0994 ms 91.2% triton_mm_624 0.1127 ms 80.5% triton_mm_626 0.1136 ms 79.8% triton_mm_622 0.1153 ms 78.6% triton_mm_625 0.1270 ms 71.4% triton_mm_623 0.1318 ms 68.8% triton_mm_627 0.1322 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.4279 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_723 0.3640 ms 100.0% triton_mm_722 0.3819 ms 95.3% triton_mm_724 0.3885 ms 93.7% addmm 0.4273 ms 85.2% bias_addmm 0.4358 ms 83.5% triton_mm_717 0.4566 ms 79.7% triton_mm_718 0.4767 ms 76.4% triton_mm_715 0.4788 ms 76.0% triton_mm_719 0.4791 ms 76.0% triton_mm_720 0.5307 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.6893 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_816 0.3633 ms 100.0% triton_mm_815 0.3823 ms 95.0% triton_mm_817 0.3865 ms 94.0% addmm 0.4272 ms 85.0% bias_addmm 0.4357 ms 83.4% triton_mm_810 0.4565 ms 79.6% triton_mm_811 0.4767 ms 76.2% triton_mm_808 0.4776 ms 76.1% triton_mm_812 0.4788 ms 75.9% triton_mm_813 0.5332 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.6801 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1938 0.0153 ms 100.0% triton_mm_1942 0.0156 ms 98.6% triton_mm_1946 0.0167 ms 91.6% triton_mm_1950 0.0172 ms 89.2% triton_mm_1937 0.0196 ms 78.0% triton_mm_1936 0.0197 ms 77.8% triton_mm_1941 0.0201 ms 76.2% triton_mm_1935 0.0203 ms 75.6% triton_mm_1945 0.0217 ms 70.8% triton_mm_1948 0.0227 ms 67.5% SingleProcess AUTOTUNE benchmarking takes 7.4660 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5180 ms 100.0% triton_mm_1968 2.5352 ms 99.3% triton_mm_1967 2.5989 ms 96.9% triton_mm_1969 2.8630 ms 87.9% triton_mm_1962 3.0295 ms 83.1% triton_mm_1964 3.2070 ms 78.5% triton_mm_1960 3.3106 ms 76.1% addmm 3.3283 ms 75.7% triton_mm_1965 3.6182 ms 69.6% triton_mm_1961 3.6405 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 12.1386 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.2754 ms 100.0% triton_mm_2006 2.3444 ms 97.1% mm 2.4060 ms 94.6% triton_mm_2007 2.4882 ms 91.4% triton_mm_1998 2.9718 ms 76.6% triton_mm_2000 2.9958 ms 76.0% triton_mm_2002 3.0568 ms 74.4% triton_mm_2001 3.1251 ms 72.8% triton_mm_2003 3.2446 ms 70.1% triton_mm_1999 3.2630 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.9834 seconds and 0.0015 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3543 ms 100.0% triton_mm_2077 0.3789 ms 93.5% triton_mm_2078 0.3861 ms 91.8% triton_mm_2079 0.4520 ms 78.4% triton_mm_2072 0.4727 ms 75.0% triton_mm_2074 0.4761 ms 74.4% triton_mm_2070 0.4814 ms 73.6% triton_mm_2073 0.5068 ms 69.9% triton_mm_2075 0.5190 ms 68.3% triton_mm_2071 0.5331 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 9.5799 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2030 0.0124 ms 100.0% triton_mm_2031 0.0124 ms 100.0% triton_mm_2036 0.0125 ms 99.7% triton_mm_2035 0.0127 ms 97.7% triton_mm_2034 0.0130 ms 95.6% triton_mm_2039 0.0131 ms 94.9% triton_mm_2040 0.0132 ms 94.6% triton_mm_2033 0.0132 ms 94.1% triton_mm_2032 0.0135 ms 92.0% triton_mm_2027 0.0137 ms 90.7% SingleProcess AUTOTUNE benchmarking takes 5.7577 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2012 0.0168 ms 100.0% triton_mm_2016 0.0188 ms 89.3% mm 0.0192 ms 87.5% triton_mm_2020 0.0221 ms 75.7% triton_mm_2011 0.0252 ms 66.5% triton_mm_2024 0.0259 ms 64.7% triton_mm_2010 0.0272 ms 61.6% triton_mm_2015 0.0290 ms 57.8% triton_mm_2019 0.0292 ms 57.5% triton_mm_2009 0.0305 ms 54.9% SingleProcess AUTOTUNE benchmarking takes 7.1701 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3081 ms 100.0% triton_mm_1986 2.3204 ms 99.5% triton_mm_1987 2.3379 ms 98.7% triton_mm_1988 2.4031 ms 96.0% triton_mm_1982 3.0221 ms 76.4% triton_mm_1981 3.1517 ms 73.2% triton_mm_1979 3.2011 ms 72.1% triton_mm_1980 3.2107 ms 71.9% triton_mm_1984 3.3364 ms 69.2% triton_mm_1983 3.4460 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 9.9172 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3750 ms 100.0% mm 0.3804 ms 98.6% triton_mm_2059 0.3919 ms 95.7% triton_mm_2060 0.4222 ms 88.8% triton_mm_2051 0.4589 ms 81.7% triton_mm_2053 0.4645 ms 80.7% triton_mm_2055 0.4731 ms 79.3% triton_mm_2052 0.4926 ms 76.1% triton_mm_2056 0.5310 ms 70.6% triton_mm_2054 0.5418 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5559 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) triton_mm_2096 0.3625 ms 100.0% triton_mm_2097 0.3682 ms 98.4% triton_mm_2098 0.3797 ms 95.4% mm 0.3929 ms 92.3% triton_mm_2091 0.4520 ms 80.2% triton_mm_2092 0.4647 ms 78.0% triton_mm_2089 0.4742 ms 76.4% triton_mm_2093 0.4760 ms 76.2% triton_mm_2090 0.4985 ms 72.7% triton_mm_2094 0.5148 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 10.4695 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3708 ms 100.0% mm 0.3819 ms 97.1% triton_mm_2116 0.3833 ms 96.7% triton_mm_2117 0.3964 ms 93.6% triton_mm_2110 0.4640 ms 79.9% triton_mm_2108 0.4736 ms 78.3% triton_mm_2112 0.4758 ms 77.9% triton_mm_2111 0.5044 ms 73.5% triton_mm_2113 0.5200 ms 71.3% triton_mm_2109 0.5287 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5600 seconds and 0.0008 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2659 ms 100.0% triton_mm_2172 0.2721 ms 97.7% triton_mm_2173 0.2783 ms 95.5% triton_mm_2174 0.3292 ms 80.8% triton_mm_2167 0.3396 ms 78.3% triton_mm_2168 0.3487 ms 76.3% triton_mm_2165 0.3574 ms 74.4% triton_mm_2169 0.3588 ms 74.1% triton_mm_2166 0.3734 ms 71.2% triton_mm_2170 0.3854 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 9.6178 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2863 ms 100.0% triton_mm_2192 0.2898 ms 98.8% mm 0.2899 ms 98.7% triton_mm_2193 0.3414 ms 83.8% triton_mm_2184 0.3460 ms 82.7% triton_mm_2186 0.3480 ms 82.2% triton_mm_2188 0.3497 ms 81.9% triton_mm_2187 0.3759 ms 76.1% triton_mm_2189 0.3893 ms 73.5% triton_mm_2185 0.3958 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 9.6953 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0934 ms 100.0% triton_mm_2155 0.0999 ms 93.5% triton_mm_2154 0.1076 ms 86.8% triton_mm_2148 0.1203 ms 77.6% triton_mm_2153 0.1211 ms 77.1% triton_mm_2150 0.1225 ms 76.2% triton_mm_2146 0.1235 ms 75.6% triton_mm_2149 0.1270 ms 73.5% triton_mm_2151 0.1306 ms 71.5% triton_mm_2147 0.1332 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 9.4590 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0976 ms 100.0% triton_mm_2134 0.1000 ms 97.6% triton_mm_2135 0.1022 ms 95.5% triton_mm_2136 0.1089 ms 89.6% triton_mm_2127 0.1225 ms 79.6% triton_mm_2131 0.1233 ms 79.1% triton_mm_2129 0.1242 ms 78.6% triton_mm_2128 0.1273 ms 76.7% triton_mm_2132 0.1360 ms 71.7% triton_mm_2130 0.1445 ms 67.5% SingleProcess AUTOTUNE benchmarking takes 10.5492 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2223 0.0204 ms 100.0% triton_mm_2220 0.0214 ms 95.2% triton_mm_2222 0.0214 ms 94.9% triton_mm_2221 0.0215 ms 94.6% triton_mm_2217 0.0217 ms 93.9% triton_mm_2219 0.0217 ms 93.9% triton_mm_2224 0.0225 ms 90.4% triton_mm_2226 0.0225 ms 90.3% triton_mm_2216 0.0226 ms 90.2% triton_mm_2225 0.0227 ms 89.6% SingleProcess AUTOTUNE benchmarking takes 5.6526 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3540 ms 100.0% triton_mm_2263 0.3782 ms 93.6% triton_mm_2264 0.3873 ms 91.4% triton_mm_2265 0.3957 ms 89.4% triton_mm_2258 0.4723 ms 74.9% triton_mm_2260 0.4777 ms 74.1% triton_mm_2256 0.4817 ms 73.5% triton_mm_2259 0.5075 ms 69.8% triton_mm_2261 0.5206 ms 68.0% triton_mm_2257 0.5324 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.5573 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_2198 0.0333 ms 97.8% triton_mm_2202 0.0347 ms 93.7% triton_mm_2206 0.0465 ms 70.0% triton_mm_2210 0.0584 ms 55.7% triton_mm_2197 0.0605 ms 53.8% triton_mm_2196 0.0658 ms 49.4% triton_mm_2201 0.0709 ms 45.9% triton_mm_2205 0.0726 ms 44.8% triton_mm_2195 0.0773 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 6.3845 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2244 0.3753 ms 100.0% mm 0.3786 ms 99.1% triton_mm_2245 0.3921 ms 95.7% triton_mm_2246 0.4230 ms 88.7% triton_mm_2237 0.4596 ms 81.7% triton_mm_2239 0.4645 ms 80.8% triton_mm_2241 0.4728 ms 79.4% triton_mm_2238 0.4925 ms 76.2% triton_mm_2242 0.5282 ms 71.1% triton_mm_2240 0.5457 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5563 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2666 ms 100.0% triton_mm_2358 0.2723 ms 97.9% triton_mm_2359 0.2782 ms 95.8% triton_mm_2360 0.2883 ms 92.5% triton_mm_2353 0.3400 ms 78.4% triton_mm_2354 0.3492 ms 76.3% triton_mm_2351 0.3572 ms 74.6% triton_mm_2355 0.3599 ms 74.1% triton_mm_2352 0.3732 ms 71.4% triton_mm_2356 0.3857 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5198 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2863 ms 100.0% mm 0.2893 ms 99.0% triton_mm_2378 0.2913 ms 98.3% triton_mm_2379 0.2960 ms 96.7% triton_mm_2370 0.3471 ms 82.5% triton_mm_2372 0.3482 ms 82.2% triton_mm_2374 0.3494 ms 81.9% triton_mm_2373 0.3774 ms 75.9% triton_mm_2375 0.3924 ms 73.0% triton_mm_2371 0.3970 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 2.5322 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0938 ms 100.0% triton_mm_2341 0.0989 ms 94.9% triton_mm_2340 0.1076 ms 87.2% triton_mm_2334 0.1202 ms 78.0% triton_mm_2339 0.1204 ms 77.9% triton_mm_2332 0.1227 ms 76.5% triton_mm_2336 0.1232 ms 76.2% triton_mm_2335 0.1278 ms 73.4% triton_mm_2337 0.1305 ms 71.9% triton_mm_2333 0.1331 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 2.4171 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0966 ms 100.0% triton_mm_2320 0.0992 ms 97.4% triton_mm_2321 0.1030 ms 93.8% triton_mm_2322 0.1089 ms 88.8% triton_mm_2313 0.1224 ms 79.0% triton_mm_2315 0.1233 ms 78.4% triton_mm_2317 0.1237 ms 78.1% triton_mm_2314 0.1265 ms 76.4% triton_mm_2318 0.1359 ms 71.1% triton_mm_2316 0.1454 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.4215 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3533 ms 100.0% triton_mm_2449 0.3776 ms 93.6% triton_mm_2450 0.3859 ms 91.6% triton_mm_2451 0.3972 ms 88.9% triton_mm_2444 0.4731 ms 74.7% triton_mm_2446 0.4777 ms 74.0% triton_mm_2442 0.4813 ms 73.4% triton_mm_2445 0.5067 ms 69.7% triton_mm_2447 0.5189 ms 68.1% triton_mm_2443 0.5337 ms 66.2% SingleProcess AUTOTUNE benchmarking takes 2.5521 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2384 0.0322 ms 100.0% mm 0.0324 ms 99.5% triton_mm_2388 0.0347 ms 92.8% triton_mm_2392 0.0465 ms 69.3% triton_mm_2396 0.0579 ms 55.6% triton_mm_2383 0.0612 ms 52.6% triton_mm_2382 0.0651 ms 49.5% triton_mm_2387 0.0702 ms 45.9% triton_mm_2391 0.0718 ms 44.8% triton_mm_2381 0.0766 ms 42.0% SingleProcess AUTOTUNE benchmarking takes 2.0737 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2430 0.3756 ms 100.0% mm 0.3758 ms 99.9% triton_mm_2431 0.3927 ms 95.6% triton_mm_2432 0.4236 ms 88.7% triton_mm_2423 0.4603 ms 81.6% triton_mm_2425 0.4650 ms 80.8% triton_mm_2427 0.4751 ms 79.1% triton_mm_2424 0.4928 ms 76.2% triton_mm_2428 0.5313 ms 70.7% triton_mm_2426 0.5424 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5551 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2661 ms 100.0% triton_mm_2544 0.2722 ms 97.8% triton_mm_2545 0.2801 ms 95.0% triton_mm_2546 0.2899 ms 91.8% triton_mm_2539 0.3399 ms 78.3% triton_mm_2540 0.3490 ms 76.2% triton_mm_2537 0.3572 ms 74.5% triton_mm_2541 0.3607 ms 73.8% triton_mm_2538 0.3747 ms 71.0% triton_mm_2542 0.3862 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 2.5325 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2860 ms 100.0% mm 0.2884 ms 99.2% triton_mm_2564 0.2900 ms 98.6% triton_mm_2565 0.2961 ms 96.6% triton_mm_2556 0.3469 ms 82.5% triton_mm_2558 0.3473 ms 82.4% triton_mm_2560 0.3504 ms 81.6% triton_mm_2559 0.3790 ms 75.5% triton_mm_2561 0.3898 ms 73.4% triton_mm_2557 0.3953 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 2.5376 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0933 ms 100.0% triton_mm_2527 0.0990 ms 94.3% triton_mm_2526 0.1076 ms 86.7% triton_mm_2520 0.1195 ms 78.1% triton_mm_2525 0.1205 ms 77.5% triton_mm_2518 0.1228 ms 76.0% triton_mm_2522 0.1232 ms 75.7% triton_mm_2521 0.1269 ms 73.6% triton_mm_2523 0.1305 ms 71.5% triton_mm_2519 0.1341 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.4358 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0966 ms 100.0% triton_mm_2506 0.0993 ms 97.4% triton_mm_2507 0.1022 ms 94.6% triton_mm_2508 0.1098 ms 88.0% triton_mm_2503 0.1231 ms 78.5% triton_mm_2501 0.1232 ms 78.5% triton_mm_2499 0.1232 ms 78.4% triton_mm_2500 0.1272 ms 76.0% triton_mm_2504 0.1358 ms 71.2% triton_mm_2502 0.1453 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.4449 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3537 ms 100.0% triton_mm_2635 0.3795 ms 93.2% triton_mm_2636 0.3873 ms 91.3% triton_mm_2637 0.3959 ms 89.3% triton_mm_2630 0.4730 ms 74.8% triton_mm_2632 0.4781 ms 74.0% triton_mm_2628 0.4816 ms 73.4% triton_mm_2631 0.5083 ms 69.6% triton_mm_2633 0.5191 ms 68.1% triton_mm_2629 0.5322 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.5655 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_2570 0.0335 ms 97.0% triton_mm_2574 0.0359 ms 90.5% triton_mm_2578 0.0466 ms 69.6% triton_mm_2582 0.0591 ms 54.9% triton_mm_2569 0.0613 ms 53.0% triton_mm_2568 0.0651 ms 49.9% triton_mm_2573 0.0702 ms 46.3% triton_mm_2577 0.0727 ms 44.7% triton_mm_2567 0.0765 ms 42.5% SingleProcess AUTOTUNE benchmarking takes 2.0959 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3748 ms 100.0% triton_mm_2616 0.3755 ms 99.8% triton_mm_2617 0.3916 ms 95.7% triton_mm_2618 0.4245 ms 88.3% triton_mm_2609 0.4601 ms 81.5% triton_mm_2611 0.4663 ms 80.4% triton_mm_2613 0.4738 ms 79.1% triton_mm_2610 0.4942 ms 75.8% triton_mm_2614 0.5276 ms 71.0% triton_mm_2612 0.5414 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5665 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2670 ms 100.0% triton_mm_2730 0.2721 ms 98.1% triton_mm_2731 0.2795 ms 95.5% triton_mm_2732 0.2892 ms 92.3% triton_mm_2725 0.3405 ms 78.4% triton_mm_2726 0.3490 ms 76.5% triton_mm_2723 0.3575 ms 74.7% triton_mm_2727 0.3598 ms 74.2% triton_mm_2724 0.3753 ms 71.1% triton_mm_2728 0.3862 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5354 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) mm 0.2865 ms 100.0% triton_mm_2749 0.2866 ms 99.9% triton_mm_2750 0.2908 ms 98.5% triton_mm_2751 0.2956 ms 96.9% triton_mm_2742 0.3465 ms 82.7% triton_mm_2744 0.3485 ms 82.2% triton_mm_2746 0.3494 ms 82.0% triton_mm_2745 0.3772 ms 75.9% triton_mm_2747 0.3894 ms 73.6% triton_mm_2743 0.3963 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 3.5949 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0937 ms 100.0% triton_mm_2713 0.0996 ms 94.1% triton_mm_2712 0.1084 ms 86.4% triton_mm_2706 0.1195 ms 78.4% triton_mm_2711 0.1212 ms 77.3% triton_mm_2708 0.1224 ms 76.5% triton_mm_2704 0.1236 ms 75.8% triton_mm_2707 0.1268 ms 73.9% triton_mm_2709 0.1312 ms 71.4% triton_mm_2705 0.1340 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.4257 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0975 ms 100.0% triton_mm_2692 0.1000 ms 97.5% triton_mm_2693 0.1022 ms 95.4% triton_mm_2694 0.1096 ms 88.9% triton_mm_2689 0.1231 ms 79.2% triton_mm_2685 0.1232 ms 79.1% triton_mm_2687 0.1233 ms 79.0% triton_mm_2686 0.1273 ms 76.6% triton_mm_2690 0.1366 ms 71.4% triton_mm_2688 0.1446 ms 67.4% SingleProcess AUTOTUNE benchmarking takes 2.4344 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_2942 0.0334 ms 96.9% triton_mm_2946 0.0359 ms 90.2% triton_mm_2950 0.0467 ms 69.4% triton_mm_2954 0.0592 ms 54.7% triton_mm_2941 0.0604 ms 53.6% triton_mm_2940 0.0659 ms 49.1% triton_mm_2945 0.0702 ms 46.1% triton_mm_2949 0.0727 ms 44.6% triton_mm_2939 0.0774 ms 41.9% SingleProcess AUTOTUNE benchmarking takes 2.0987 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2988 0.3755 ms 100.0% mm 0.3786 ms 99.2% triton_mm_2989 0.3923 ms 95.7% triton_mm_2990 0.4225 ms 88.9% triton_mm_2981 0.4587 ms 81.9% triton_mm_2983 0.4625 ms 81.2% triton_mm_2985 0.4727 ms 79.4% triton_mm_2982 0.4928 ms 76.2% triton_mm_2986 0.5284 ms 71.1% triton_mm_2984 0.5416 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5710 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0323 ms 100.0% triton_mm_3128 0.0323 ms 100.0% triton_mm_3132 0.0347 ms 93.1% triton_mm_3136 0.0465 ms 69.4% triton_mm_3140 0.0590 ms 54.7% triton_mm_3127 0.0612 ms 52.7% triton_mm_3126 0.0650 ms 49.6% triton_mm_3131 0.0709 ms 45.5% triton_mm_3135 0.0718 ms 44.9% triton_mm_3125 0.0772 ms 41.8% SingleProcess AUTOTUNE benchmarking takes 2.0927 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_3174 0.3756 ms 100.0% mm 0.3801 ms 98.8% triton_mm_3175 0.3908 ms 96.1% triton_mm_3176 0.4235 ms 88.7% triton_mm_3167 0.4589 ms 81.9% triton_mm_3169 0.4645 ms 80.9% triton_mm_3171 0.4723 ms 79.5% triton_mm_3168 0.4954 ms 75.8% triton_mm_3172 0.5312 ms 70.7% triton_mm_3170 0.5414 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5633 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0323 ms 100.0% triton_mm_3314 0.0333 ms 96.9% triton_mm_3318 0.0359 ms 90.1% triton_mm_3322 0.0467 ms 69.3% triton_mm_3326 0.0578 ms 55.9% triton_mm_3313 0.0605 ms 53.4% triton_mm_3312 0.0658 ms 49.1% triton_mm_3317 0.0710 ms 45.5% triton_mm_3321 0.0727 ms 44.5% triton_mm_3311 0.0765 ms 42.2% SingleProcess AUTOTUNE benchmarking takes 2.1046 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_3360 0.3746 ms 100.0% mm 0.3772 ms 99.3% triton_mm_3361 0.3908 ms 95.8% triton_mm_3362 0.4231 ms 88.5% triton_mm_3353 0.4592 ms 81.6% triton_mm_3355 0.4651 ms 80.5% triton_mm_3357 0.4733 ms 79.1% triton_mm_3354 0.4930 ms 76.0% triton_mm_3358 0.5311 ms 70.5% triton_mm_3356 0.5432 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.5712 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.0988 ms 100.0% triton_mm_4663 0.1036 ms 95.3% triton_mm_4659 0.1171 ms 84.4% triton_mm_4655 0.1173 ms 84.2% triton_mm_4657 0.1181 ms 83.6% mm 0.1204 ms 82.0% triton_mm_4656 0.1268 ms 77.9% triton_mm_4664 0.1296 ms 76.2% triton_mm_4660 0.1320 ms 74.8% triton_mm_4658 0.1540 ms 64.1% SingleProcess AUTOTUNE benchmarking takes 13.6713 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) mm 0.2308 ms 100.0% triton_mm_4700 0.2310 ms 99.9% triton_mm_4701 0.2411 ms 95.7% triton_mm_4702 0.2544 ms 90.7% triton_mm_4695 0.2889 ms 79.9% triton_mm_4693 0.2910 ms 79.3% triton_mm_4697 0.2961 ms 77.9% triton_mm_4696 0.3150 ms 73.3% triton_mm_4694 0.3225 ms 71.6% triton_mm_4698 0.3297 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 10.4085 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2384 ms 100.0% triton_mm_4719 0.2772 ms 86.0% triton_mm_4720 0.2851 ms 83.6% triton_mm_4721 0.2891 ms 82.5% triton_mm_4716 0.3106 ms 76.7% triton_mm_4712 0.3112 ms 76.6% triton_mm_4715 0.3175 ms 75.1% triton_mm_4714 0.3205 ms 74.4% triton_mm_4717 0.3254 ms 73.3% triton_mm_4713 0.3312 ms 72.0% SingleProcess AUTOTUNE benchmarking takes 10.0166 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1633 ms 100.0% triton_mm_4757 0.1768 ms 92.4% triton_mm_4752 0.1776 ms 91.9% triton_mm_4754 0.1798 ms 90.8% triton_mm_4750 0.1814 ms 90.0% triton_mm_4758 0.1868 ms 87.4% triton_mm_4753 0.1895 ms 86.2% triton_mm_4755 0.2007 ms 81.4% triton_mm_4751 0.2047 ms 79.8% triton_mm_4759 0.2327 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 10.0508 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0948 ms 100.0% triton_mm_4683 0.0994 ms 95.4% triton_mm_4682 0.1094 ms 86.7% triton_mm_4676 0.1159 ms 81.8% triton_mm_4681 0.1221 ms 77.6% triton_mm_4674 0.1223 ms 77.5% triton_mm_4678 0.1243 ms 76.3% triton_mm_4677 0.1264 ms 75.0% triton_mm_4679 0.1315 ms 72.1% triton_mm_4675 0.1332 ms 71.2% SingleProcess AUTOTUNE benchmarking takes 2.4507 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1449 ms 100.0% triton_mm_4738 0.1483 ms 97.7% triton_mm_4739 0.1529 ms 94.7% triton_mm_4740 0.1597 ms 90.7% triton_mm_4733 0.1865 ms 77.7% triton_mm_4735 0.1896 ms 76.4% triton_mm_4731 0.1927 ms 75.2% triton_mm_4734 0.2007 ms 72.2% triton_mm_4732 0.2031 ms 71.3% triton_mm_4736 0.2074 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 10.1845 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6840, 6840x32) mm 0.0309 ms 100.0% triton_mm_5887 0.0427 ms 72.4% triton_mm_5880 0.0436 ms 70.9% triton_mm_5878 0.0553 ms 55.9% triton_mm_5879 0.0630 ms 49.1% triton_mm_5886 0.0652 ms 47.5% triton_mm_5883 0.0673 ms 46.0% triton_mm_5877 0.0677 ms 45.7% triton_mm_5892 0.0688 ms 45.0% triton_mm_5891 0.0742 ms 41.7% SingleProcess AUTOTUNE benchmarking takes 6.6332 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_7 0.0292 ms 100.0% triton_mm_8 0.0298 ms 98.3% triton_mm_12 0.0306 ms 95.6% triton_mm_4 0.0307 ms 95.2% triton_mm_6 0.0310 ms 94.2% triton_mm_11 0.0313 ms 93.5% triton_mm_9 0.0313 ms 93.4% triton_mm_15 0.0327 ms 89.4% triton_mm_16 0.0333 ms 87.7% triton_mm_14 0.0334 ms 87.6% SingleProcess AUTOTUNE benchmarking takes 2.0978 seconds and 0.0100 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0277 ms 100.0% triton_mm_29 0.0283 ms 97.7% triton_mm_24 0.0289 ms 95.7% bias_addmm 0.0298 ms 92.8% triton_mm_18 0.0299 ms 92.6% triton_mm_28 0.0301 ms 92.0% triton_mm_25 0.0301 ms 91.8% triton_mm_21 0.0310 ms 89.4% triton_mm_19 0.0346 ms 80.0% addmm 0.0347 ms 79.7% SingleProcess AUTOTUNE benchmarking takes 2.2116 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_51 0.3047 ms 100.0% triton_mm_50 0.3048 ms 100.0% bias_addmm 0.3380 ms 90.2% triton_mm_52 0.3478 ms 87.6% triton_mm_45 0.3570 ms 85.4% triton_mm_43 0.3756 ms 81.1% triton_mm_47 0.3793 ms 80.3% addmm 0.3841 ms 79.3% triton_mm_44 0.4184 ms 72.8% triton_mm_48 0.4300 ms 70.9% SingleProcess AUTOTUNE benchmarking takes 2.6274 seconds and 0.0170 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1056 ms 100.0% triton_mm_69 0.1083 ms 97.5% triton_mm_71 0.1163 ms 90.8% bias_addmm 0.1209 ms 87.3% triton_mm_64 0.1258 ms 83.9% addmm 0.1308 ms 80.7% triton_mm_66 0.1317 ms 80.2% triton_mm_62 0.1319 ms 80.0% triton_mm_63 0.1462 ms 72.2% triton_mm_67 0.1495 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.5456 seconds and 0.0010 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.4058 ms 100.0% triton_mm_88 0.4122 ms 98.5% triton_mm_90 0.4572 ms 88.8% triton_mm_83 0.4737 ms 85.7% triton_mm_81 0.5041 ms 80.5% triton_mm_85 0.5079 ms 79.9% triton_mm_82 0.5618 ms 72.2% triton_mm_84 0.5736 ms 70.7% triton_mm_86 0.5792 ms 70.1% addmm 0.6034 ms 67.3% SingleProcess AUTOTUNE benchmarking takes 2.6887 seconds and 1.1956 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3704 ms 100.0% triton_mm_107 0.3900 ms 95.0% triton_mm_109 0.3939 ms 94.0% addmm 0.4283 ms 86.5% bias_addmm 0.4374 ms 84.7% triton_mm_102 0.4661 ms 79.5% triton_mm_100 0.4872 ms 76.0% triton_mm_104 0.4876 ms 76.0% triton_mm_103 0.4902 ms 75.6% triton_mm_105 0.5399 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.6829 seconds and 0.2425 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3697 ms 100.0% addmm 0.3881 ms 95.3% triton_mm_200 0.3895 ms 94.9% triton_mm_202 0.3926 ms 94.2% bias_addmm 0.4352 ms 85.0% triton_mm_195 0.4641 ms 79.7% triton_mm_193 0.4864 ms 76.0% triton_mm_197 0.4882 ms 75.7% triton_mm_196 0.4895 ms 75.5% triton_mm_198 0.5393 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.6792 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_294 0.3676 ms 100.0% triton_mm_293 0.3869 ms 95.0% addmm 0.3889 ms 94.5% triton_mm_295 0.3932 ms 93.5% bias_addmm 0.4351 ms 84.5% triton_mm_288 0.4634 ms 79.3% triton_mm_286 0.4840 ms 76.0% triton_mm_289 0.4874 ms 75.4% triton_mm_290 0.4893 ms 75.1% triton_mm_291 0.5390 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.6800 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1605 ms 100.0% triton_mm_591 0.1622 ms 99.0% triton_mm_593 0.1783 ms 90.1% triton_mm_586 0.1900 ms 84.5% triton_mm_584 0.1990 ms 80.7% triton_mm_588 0.1993 ms 80.6% bias_addmm 0.2142 ms 74.9% triton_mm_585 0.2228 ms 72.1% triton_mm_589 0.2258 ms 71.1% addmm 0.2266 ms 70.9% SingleProcess AUTOTUNE benchmarking takes 2.5740 seconds and 0.0242 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_610 0.2412 ms 100.0% triton_mm_611 0.2419 ms 99.7% bias_addmm 0.2621 ms 92.0% triton_mm_612 0.2659 ms 90.7% triton_mm_605 0.2982 ms 80.9% addmm 0.2995 ms 80.5% triton_mm_603 0.3028 ms 79.6% triton_mm_607 0.3069 ms 78.6% triton_mm_606 0.3309 ms 72.9% triton_mm_608 0.3461 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.6424 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0923 ms 100.0% triton_mm_630 0.0937 ms 98.5% triton_mm_631 0.0998 ms 92.4% triton_mm_629 0.1001 ms 92.1% triton_mm_624 0.1148 ms 80.4% triton_mm_626 0.1162 ms 79.4% triton_mm_622 0.1173 ms 78.7% triton_mm_625 0.1274 ms 72.4% triton_mm_627 0.1320 ms 69.9% triton_mm_623 0.1333 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.4215 seconds and 0.0010 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1938 0.0157 ms 100.0% triton_mm_1942 0.0157 ms 100.0% triton_mm_1946 0.0158 ms 99.8% triton_mm_1950 0.0173 ms 90.8% triton_mm_1941 0.0193 ms 81.5% triton_mm_1935 0.0198 ms 79.5% triton_mm_1937 0.0201 ms 78.3% triton_mm_1936 0.0207 ms 76.2% triton_mm_1945 0.0223 ms 70.7% triton_mm_1948 0.0229 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 7.4716 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5176 ms 100.0% triton_mm_1968 2.5648 ms 98.2% triton_mm_1967 2.6000 ms 96.8% triton_mm_1969 2.8628 ms 87.9% triton_mm_1962 3.0669 ms 82.1% triton_mm_1964 3.2266 ms 78.0% addmm 3.2607 ms 77.2% triton_mm_1960 3.3176 ms 75.9% triton_mm_1961 3.6381 ms 69.2% triton_mm_1963 3.6565 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 11.9841 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.2821 ms 100.0% triton_mm_2006 2.3488 ms 97.2% mm 2.3975 ms 95.2% triton_mm_2007 2.4919 ms 91.6% triton_mm_2000 2.9271 ms 78.0% triton_mm_1998 2.9749 ms 76.7% triton_mm_2002 3.0594 ms 74.6% triton_mm_2001 3.1176 ms 73.2% triton_mm_2003 3.2057 ms 71.2% triton_mm_1999 3.2606 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 10.0379 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3549 ms 100.0% triton_mm_2077 0.3802 ms 93.4% triton_mm_2078 0.3865 ms 91.8% triton_mm_2079 0.3980 ms 89.2% triton_mm_2072 0.4745 ms 74.8% triton_mm_2074 0.4773 ms 74.4% triton_mm_2070 0.4815 ms 73.7% triton_mm_2073 0.5075 ms 69.9% triton_mm_2075 0.5204 ms 68.2% triton_mm_2071 0.5342 ms 66.4% SingleProcess AUTOTUNE benchmarking takes 9.7478 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2031 0.0126 ms 100.0% triton_mm_2033 0.0126 ms 100.0% triton_mm_2036 0.0128 ms 98.8% triton_mm_2030 0.0128 ms 98.5% triton_mm_2032 0.0130 ms 97.1% triton_mm_2039 0.0133 ms 95.2% triton_mm_2040 0.0133 ms 95.2% triton_mm_2034 0.0136 ms 92.6% triton_mm_2037 0.0139 ms 91.1% triton_mm_2035 0.0139 ms 90.7% SingleProcess AUTOTUNE benchmarking takes 5.8917 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2016 0.0179 ms 100.0% triton_mm_2012 0.0182 ms 97.9% mm 0.0193 ms 92.4% triton_mm_2020 0.0213 ms 83.9% triton_mm_2024 0.0252 ms 70.8% triton_mm_2011 0.0255 ms 70.1% triton_mm_2010 0.0274 ms 65.1% triton_mm_2019 0.0286 ms 62.3% triton_mm_2015 0.0290 ms 61.5% triton_mm_2009 0.0307 ms 58.2% SingleProcess AUTOTUNE benchmarking takes 2.1099 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3088 ms 100.0% triton_mm_1986 2.3381 ms 98.7% triton_mm_1987 2.3467 ms 98.4% triton_mm_1988 2.4269 ms 95.1% triton_mm_1982 3.0691 ms 75.2% triton_mm_1981 3.1840 ms 72.5% triton_mm_1979 3.2138 ms 71.8% triton_mm_1980 3.2492 ms 71.1% triton_mm_1984 3.3127 ms 69.7% triton_mm_1983 3.4727 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.9982 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3781 ms 100.0% mm 0.3804 ms 99.4% triton_mm_2059 0.3949 ms 95.7% triton_mm_2060 0.4272 ms 88.5% triton_mm_2051 0.4624 ms 81.8% triton_mm_2053 0.4690 ms 80.6% triton_mm_2055 0.4761 ms 79.4% triton_mm_2052 0.4964 ms 76.2% triton_mm_2056 0.5324 ms 71.0% triton_mm_2054 0.5442 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.5539 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) triton_mm_2096 0.3638 ms 100.0% triton_mm_2097 0.3697 ms 98.4% triton_mm_2098 0.3823 ms 95.2% mm 0.3930 ms 92.6% triton_mm_2091 0.4528 ms 80.4% triton_mm_2092 0.4659 ms 78.1% triton_mm_2089 0.4764 ms 76.4% triton_mm_2093 0.4766 ms 76.3% triton_mm_2090 0.4995 ms 72.8% triton_mm_2094 0.5166 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 13.1919 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3722 ms 100.0% mm 0.3829 ms 97.2% triton_mm_2116 0.3850 ms 96.7% triton_mm_2117 0.3992 ms 93.2% triton_mm_2110 0.4684 ms 79.5% triton_mm_2108 0.4747 ms 78.4% triton_mm_2112 0.4770 ms 78.0% triton_mm_2111 0.5068 ms 73.4% triton_mm_2113 0.5244 ms 71.0% triton_mm_2109 0.5316 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.5659 seconds and 0.0011 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2674 ms 100.0% triton_mm_2172 0.2732 ms 97.9% triton_mm_2173 0.2811 ms 95.1% triton_mm_2174 0.2902 ms 92.1% triton_mm_2167 0.3405 ms 78.5% triton_mm_2168 0.3489 ms 76.6% triton_mm_2165 0.3580 ms 74.7% triton_mm_2169 0.3632 ms 73.6% triton_mm_2166 0.3759 ms 71.1% triton_mm_2170 0.3876 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 9.7594 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2872 ms 100.0% mm 0.2904 ms 98.9% triton_mm_2192 0.2904 ms 98.9% triton_mm_2193 0.2966 ms 96.9% triton_mm_2184 0.3480 ms 82.5% triton_mm_2186 0.3499 ms 82.1% triton_mm_2188 0.3514 ms 81.7% triton_mm_2187 0.3779 ms 76.0% triton_mm_2189 0.3902 ms 73.6% triton_mm_2185 0.3969 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 9.7338 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0928 ms 100.0% triton_mm_2155 0.0992 ms 93.5% triton_mm_2154 0.1081 ms 85.8% triton_mm_2148 0.1207 ms 76.9% triton_mm_2153 0.1213 ms 76.5% triton_mm_2150 0.1233 ms 75.2% triton_mm_2146 0.1236 ms 75.0% triton_mm_2151 0.1319 ms 70.3% triton_mm_2147 0.1336 ms 69.4% triton_mm_2149 0.1541 ms 60.2% SingleProcess AUTOTUNE benchmarking takes 9.6632 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0972 ms 100.0% triton_mm_2134 0.1003 ms 96.9% triton_mm_2135 0.1033 ms 94.1% triton_mm_2136 0.1089 ms 89.2% triton_mm_2127 0.1240 ms 78.4% triton_mm_2129 0.1247 ms 77.9% triton_mm_2131 0.1256 ms 77.4% triton_mm_2128 0.1271 ms 76.5% triton_mm_2132 0.1362 ms 71.3% triton_mm_2125 0.1653 ms 58.8% SingleProcess AUTOTUNE benchmarking takes 10.9746 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2220 0.0206 ms 100.0% triton_mm_2222 0.0206 ms 100.0% triton_mm_2223 0.0206 ms 100.0% triton_mm_2216 0.0218 ms 94.3% triton_mm_2217 0.0220 ms 93.5% triton_mm_2219 0.0220 ms 93.5% triton_mm_2221 0.0228 ms 90.2% triton_mm_2226 0.0229 ms 89.9% triton_mm_2224 0.0232 ms 88.5% triton_mm_2218 0.0236 ms 87.4% SingleProcess AUTOTUNE benchmarking takes 5.7861 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3564 ms 100.0% triton_mm_2263 0.3813 ms 93.5% triton_mm_2264 0.3896 ms 91.5% triton_mm_2265 0.4013 ms 88.8% triton_mm_2258 0.4768 ms 74.8% triton_mm_2260 0.4821 ms 73.9% triton_mm_2256 0.4840 ms 73.6% triton_mm_2259 0.5103 ms 69.8% triton_mm_2261 0.5246 ms 67.9% triton_mm_2257 0.5372 ms 66.3% SingleProcess AUTOTUNE benchmarking takes 2.5583 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_2198 0.0336 ms 96.8% triton_mm_2202 0.0348 ms 93.3% triton_mm_2206 0.0456 ms 71.2% triton_mm_2210 0.0581 ms 55.9% triton_mm_2197 0.0618 ms 52.6% triton_mm_2196 0.0655 ms 49.6% triton_mm_2201 0.0706 ms 46.0% triton_mm_2205 0.0724 ms 44.9% triton_mm_2195 0.0772 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.1365 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2244 0.3795 ms 100.0% mm 0.3823 ms 99.3% triton_mm_2245 0.3977 ms 95.4% triton_mm_2246 0.4294 ms 88.4% triton_mm_2237 0.4654 ms 81.5% triton_mm_2239 0.4700 ms 80.7% triton_mm_2241 0.4796 ms 79.1% triton_mm_2238 0.4976 ms 76.3% triton_mm_2242 0.5332 ms 71.2% triton_mm_2240 0.5489 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5544 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3526 ms 100.0% triton_mm_2282 0.3653 ms 96.5% triton_mm_2283 0.3729 ms 94.6% triton_mm_2284 0.3851 ms 91.6% triton_mm_2277 0.4559 ms 77.3% triton_mm_2278 0.4710 ms 74.9% triton_mm_2279 0.4800 ms 73.4% triton_mm_2275 0.4801 ms 73.4% triton_mm_2276 0.5045 ms 69.9% triton_mm_2280 0.5205 ms 67.7% SingleProcess AUTOTUNE benchmarking takes 2.5630 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2661 ms 100.0% triton_mm_2358 0.2762 ms 96.3% triton_mm_2359 0.2830 ms 94.0% triton_mm_2360 0.2921 ms 91.1% triton_mm_2353 0.3455 ms 77.0% triton_mm_2354 0.3520 ms 75.6% triton_mm_2351 0.3608 ms 73.7% triton_mm_2355 0.3650 ms 72.9% triton_mm_2352 0.3772 ms 70.6% triton_mm_2356 0.3904 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.5335 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2894 ms 100.0% mm 0.2914 ms 99.3% triton_mm_2378 0.2938 ms 98.5% triton_mm_2379 0.2996 ms 96.6% triton_mm_2370 0.3519 ms 82.2% triton_mm_2372 0.3528 ms 82.0% triton_mm_2374 0.3536 ms 81.8% triton_mm_2373 0.3812 ms 75.9% triton_mm_2375 0.3938 ms 73.5% triton_mm_2371 0.3989 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5367 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0977 ms 100.0% triton_mm_2320 0.1006 ms 97.0% triton_mm_2321 0.1035 ms 94.4% triton_mm_2322 0.1089 ms 89.7% triton_mm_2313 0.1240 ms 78.8% triton_mm_2317 0.1243 ms 78.6% triton_mm_2315 0.1247 ms 78.3% triton_mm_2314 0.1291 ms 75.7% triton_mm_2318 0.1377 ms 70.9% triton_mm_2316 0.1459 ms 66.9% SingleProcess AUTOTUNE benchmarking takes 2.4491 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2406 0.0206 ms 100.0% triton_mm_2409 0.0206 ms 100.0% triton_mm_2403 0.0208 ms 99.1% triton_mm_2405 0.0208 ms 98.9% triton_mm_2407 0.0217 ms 95.0% triton_mm_2412 0.0217 ms 94.7% triton_mm_2408 0.0218 ms 94.6% triton_mm_2402 0.0219 ms 94.1% triton_mm_2411 0.0229 ms 89.7% triton_mm_2410 0.0232 ms 88.6% SingleProcess AUTOTUNE benchmarking takes 2.1385 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3536 ms 100.0% triton_mm_2449 0.3840 ms 92.1% triton_mm_2450 0.3925 ms 90.1% triton_mm_2451 0.4023 ms 87.9% triton_mm_2444 0.4800 ms 73.7% triton_mm_2446 0.4839 ms 73.1% triton_mm_2442 0.4876 ms 72.5% triton_mm_2445 0.5143 ms 68.8% triton_mm_2447 0.5259 ms 67.2% triton_mm_2443 0.5390 ms 65.6% SingleProcess AUTOTUNE benchmarking takes 2.5586 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_2384 0.0336 ms 96.8% triton_mm_2388 0.0348 ms 93.5% triton_mm_2392 0.0460 ms 70.8% triton_mm_2396 0.0587 ms 55.5% triton_mm_2383 0.0610 ms 53.4% triton_mm_2382 0.0655 ms 49.7% triton_mm_2387 0.0708 ms 46.0% triton_mm_2391 0.0724 ms 45.0% triton_mm_2381 0.0780 ms 41.7% SingleProcess AUTOTUNE benchmarking takes 2.0771 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2430 0.3801 ms 100.0% mm 0.3806 ms 99.9% triton_mm_2431 0.3982 ms 95.4% triton_mm_2432 0.4304 ms 88.3% triton_mm_2423 0.4668 ms 81.4% triton_mm_2425 0.4737 ms 80.2% triton_mm_2427 0.4818 ms 78.9% triton_mm_2424 0.5006 ms 75.9% triton_mm_2428 0.5341 ms 71.2% triton_mm_2426 0.5490 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5579 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3541 ms 100.0% triton_mm_2468 0.3671 ms 96.4% triton_mm_2469 0.3736 ms 94.8% triton_mm_2470 0.3857 ms 91.8% triton_mm_2463 0.4574 ms 77.4% triton_mm_2464 0.4702 ms 75.3% triton_mm_2461 0.4797 ms 73.8% triton_mm_2465 0.4830 ms 73.3% triton_mm_2462 0.5060 ms 70.0% triton_mm_2466 0.5225 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 2.5619 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2673 ms 100.0% triton_mm_2544 0.2749 ms 97.2% triton_mm_2545 0.2828 ms 94.5% triton_mm_2546 0.2935 ms 91.1% triton_mm_2539 0.3441 ms 77.7% triton_mm_2540 0.3540 ms 75.5% triton_mm_2537 0.3618 ms 73.9% triton_mm_2541 0.3655 ms 73.1% triton_mm_2538 0.3793 ms 70.5% triton_mm_2542 0.3902 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.5324 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2893 ms 100.0% mm 0.2933 ms 98.7% triton_mm_2564 0.2949 ms 98.1% triton_mm_2565 0.3010 ms 96.1% triton_mm_2558 0.3519 ms 82.2% triton_mm_2556 0.3536 ms 81.8% triton_mm_2560 0.3547 ms 81.6% triton_mm_2559 0.3835 ms 75.5% triton_mm_2561 0.3949 ms 73.3% triton_mm_2557 0.4002 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5343 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0979 ms 100.0% triton_mm_2506 0.1010 ms 97.0% triton_mm_2507 0.1040 ms 94.1% triton_mm_2508 0.1092 ms 89.7% triton_mm_2499 0.1233 ms 79.4% triton_mm_2503 0.1253 ms 78.1% triton_mm_2501 0.1258 ms 77.8% triton_mm_2500 0.1282 ms 76.4% triton_mm_2504 0.1376 ms 71.2% triton_mm_2502 0.1450 ms 67.5% SingleProcess AUTOTUNE benchmarking takes 2.4395 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3522 ms 100.0% triton_mm_2635 0.3824 ms 92.1% triton_mm_2636 0.3911 ms 90.1% triton_mm_2637 0.4016 ms 87.7% triton_mm_2630 0.4789 ms 73.5% triton_mm_2632 0.4840 ms 72.8% triton_mm_2628 0.4870 ms 72.3% triton_mm_2631 0.5141 ms 68.5% triton_mm_2633 0.5256 ms 67.0% triton_mm_2629 0.5386 ms 65.4% SingleProcess AUTOTUNE benchmarking takes 2.5628 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_2570 0.0336 ms 96.8% triton_mm_2574 0.0348 ms 93.4% triton_mm_2578 0.0468 ms 69.6% triton_mm_2582 0.0580 ms 56.1% triton_mm_2569 0.0617 ms 52.7% triton_mm_2568 0.0655 ms 49.7% triton_mm_2573 0.0715 ms 45.5% triton_mm_2577 0.0724 ms 45.0% triton_mm_2567 0.0772 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.0795 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3792 ms 100.0% triton_mm_2616 0.3798 ms 99.8% triton_mm_2617 0.3969 ms 95.6% triton_mm_2618 0.4303 ms 88.1% triton_mm_2609 0.4674 ms 81.1% triton_mm_2611 0.4728 ms 80.2% triton_mm_2613 0.4804 ms 78.9% triton_mm_2610 0.4979 ms 76.2% triton_mm_2614 0.5376 ms 70.5% triton_mm_2612 0.5489 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5522 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3535 ms 100.0% triton_mm_2654 0.3670 ms 96.3% triton_mm_2655 0.3745 ms 94.4% triton_mm_2656 0.3864 ms 91.5% triton_mm_2649 0.4565 ms 77.4% triton_mm_2650 0.4720 ms 74.9% triton_mm_2647 0.4805 ms 73.6% triton_mm_2651 0.4823 ms 73.3% triton_mm_2648 0.5049 ms 70.0% triton_mm_2652 0.5212 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 2.5647 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2730 0.2759 ms 100.0% triton_mm_2731 0.2821 ms 97.8% triton_mm_2732 0.2929 ms 94.2% mm 0.3011 ms 91.6% triton_mm_2725 0.3445 ms 80.1% triton_mm_2726 0.3523 ms 78.3% triton_mm_2723 0.3622 ms 76.2% triton_mm_2727 0.3656 ms 75.5% triton_mm_2724 0.3783 ms 72.9% triton_mm_2728 0.3910 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.5193 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2749 0.2895 ms 100.0% mm 0.2928 ms 98.9% triton_mm_2750 0.2950 ms 98.1% triton_mm_2751 0.3017 ms 96.0% triton_mm_2744 0.3516 ms 82.3% triton_mm_2742 0.3525 ms 82.1% triton_mm_2746 0.3543 ms 81.7% triton_mm_2745 0.3833 ms 75.5% triton_mm_2747 0.3939 ms 73.5% triton_mm_2743 0.4000 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 2.5433 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0980 ms 100.0% triton_mm_2692 0.1009 ms 97.1% triton_mm_2693 0.1037 ms 94.5% triton_mm_2694 0.1091 ms 89.8% triton_mm_2685 0.1232 ms 79.5% triton_mm_2687 0.1251 ms 78.3% triton_mm_2689 0.1251 ms 78.3% triton_mm_2686 0.1283 ms 76.4% triton_mm_2690 0.1380 ms 71.0% triton_mm_2688 0.1451 ms 67.5% SingleProcess AUTOTUNE benchmarking takes 2.4518 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3522 ms 100.0% triton_mm_2821 0.3823 ms 92.1% triton_mm_2822 0.3893 ms 90.5% triton_mm_2823 0.4012 ms 87.8% triton_mm_2816 0.4791 ms 73.5% triton_mm_2818 0.4820 ms 73.1% triton_mm_2814 0.4870 ms 72.3% triton_mm_2817 0.5144 ms 68.5% triton_mm_2819 0.5240 ms 67.2% triton_mm_2815 0.5374 ms 65.5% SingleProcess AUTOTUNE benchmarking takes 2.5648 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_2756 0.0338 ms 96.2% triton_mm_2760 0.0348 ms 93.4% triton_mm_2764 0.0456 ms 71.4% triton_mm_2768 0.0595 ms 54.7% triton_mm_2755 0.0610 ms 53.4% triton_mm_2754 0.0656 ms 49.6% triton_mm_2759 0.0707 ms 46.0% triton_mm_2763 0.0722 ms 45.1% triton_mm_2753 0.0772 ms 42.2% SingleProcess AUTOTUNE benchmarking takes 2.1042 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3797 ms 100.0% triton_mm_2802 0.3809 ms 99.7% triton_mm_2803 0.3972 ms 95.6% triton_mm_2804 0.4284 ms 88.6% triton_mm_2795 0.4665 ms 81.4% triton_mm_2797 0.4710 ms 80.6% triton_mm_2799 0.4813 ms 78.9% triton_mm_2796 0.4972 ms 76.4% triton_mm_2800 0.5377 ms 70.6% triton_mm_2798 0.5488 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5651 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3532 ms 100.0% triton_mm_2840 0.3668 ms 96.3% triton_mm_2841 0.3731 ms 94.7% triton_mm_2842 0.3848 ms 91.8% triton_mm_2835 0.4570 ms 77.3% triton_mm_2836 0.4702 ms 75.1% triton_mm_2833 0.4792 ms 73.7% triton_mm_2837 0.4824 ms 73.2% triton_mm_2834 0.5050 ms 69.9% triton_mm_2838 0.5216 ms 67.7% SingleProcess AUTOTUNE benchmarking takes 2.5663 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0970 ms 100.0% triton_mm_2878 0.1005 ms 96.6% triton_mm_2879 0.1034 ms 93.9% triton_mm_2880 0.1090 ms 89.0% triton_mm_2871 0.1228 ms 79.0% triton_mm_2873 0.1247 ms 77.8% triton_mm_2875 0.1249 ms 77.7% triton_mm_2872 0.1277 ms 76.0% triton_mm_2876 0.1373 ms 70.7% triton_mm_2874 0.1451 ms 66.9% SingleProcess AUTOTUNE benchmarking takes 2.4535 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3519 ms 100.0% triton_mm_3007 0.3824 ms 92.0% triton_mm_3008 0.3900 ms 90.2% triton_mm_3009 0.3997 ms 88.0% triton_mm_3002 0.4766 ms 73.8% triton_mm_3004 0.4823 ms 73.0% triton_mm_3000 0.4848 ms 72.6% triton_mm_3003 0.5132 ms 68.6% triton_mm_3005 0.5241 ms 67.1% triton_mm_3001 0.5380 ms 65.4% SingleProcess AUTOTUNE benchmarking takes 2.5693 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_2942 0.0339 ms 95.8% triton_mm_2946 0.0362 ms 89.7% triton_mm_2950 0.0469 ms 69.2% triton_mm_2954 0.0594 ms 54.7% triton_mm_2941 0.0618 ms 52.5% triton_mm_2940 0.0655 ms 49.6% triton_mm_2945 0.0707 ms 46.0% triton_mm_2949 0.0732 ms 44.4% triton_mm_2939 0.0781 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 2.0969 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3793 ms 100.0% triton_mm_2988 0.3796 ms 99.9% triton_mm_2989 0.3983 ms 95.2% triton_mm_2990 0.4311 ms 88.0% triton_mm_2981 0.4658 ms 81.4% triton_mm_2983 0.4705 ms 80.6% triton_mm_2985 0.4812 ms 78.8% triton_mm_2982 0.4978 ms 76.2% triton_mm_2986 0.5374 ms 70.6% triton_mm_2984 0.5488 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5565 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3532 ms 100.0% triton_mm_3026 0.3654 ms 96.7% triton_mm_3027 0.3739 ms 94.5% triton_mm_3028 0.3864 ms 91.4% triton_mm_3021 0.4566 ms 77.4% triton_mm_3022 0.4708 ms 75.0% triton_mm_3019 0.4789 ms 73.8% triton_mm_3023 0.4814 ms 73.4% triton_mm_3020 0.5052 ms 69.9% triton_mm_3024 0.5208 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 2.5659 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0977 ms 100.0% triton_mm_3064 0.0995 ms 98.1% triton_mm_3065 0.1025 ms 95.3% triton_mm_3066 0.1098 ms 89.0% triton_mm_3061 0.1236 ms 79.0% triton_mm_3057 0.1238 ms 78.9% triton_mm_3059 0.1238 ms 78.9% triton_mm_3058 0.1279 ms 76.4% triton_mm_3062 0.1372 ms 71.2% triton_mm_3060 0.1458 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 2.4451 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_3128 0.0325 ms 100.0% triton_mm_3132 0.0348 ms 93.1% triton_mm_3136 0.0465 ms 69.8% triton_mm_3140 0.0586 ms 55.3% triton_mm_3127 0.0610 ms 53.2% triton_mm_3126 0.0664 ms 48.9% triton_mm_3131 0.0707 ms 45.9% triton_mm_3135 0.0723 ms 44.9% triton_mm_3125 0.0780 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 2.0932 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_3174 0.3797 ms 100.0% mm 0.3807 ms 99.7% triton_mm_3175 0.3981 ms 95.4% triton_mm_3176 0.4290 ms 88.5% triton_mm_3167 0.4660 ms 81.5% triton_mm_3169 0.4694 ms 80.9% triton_mm_3171 0.4796 ms 79.2% triton_mm_3168 0.4968 ms 76.4% triton_mm_3172 0.5332 ms 71.2% triton_mm_3170 0.5483 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5644 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3534 ms 100.0% triton_mm_3212 0.3648 ms 96.9% triton_mm_3213 0.3732 ms 94.7% triton_mm_3214 0.3851 ms 91.8% triton_mm_3207 0.4574 ms 77.3% triton_mm_3208 0.4704 ms 75.1% triton_mm_3205 0.4785 ms 73.9% triton_mm_3209 0.4801 ms 73.6% triton_mm_3206 0.5050 ms 70.0% triton_mm_3210 0.5209 ms 67.9% SingleProcess AUTOTUNE benchmarking takes 2.5655 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0982 ms 100.0% triton_mm_3250 0.1003 ms 97.9% triton_mm_3251 0.1032 ms 95.2% triton_mm_3252 0.1089 ms 90.2% triton_mm_3247 0.1236 ms 79.4% triton_mm_3243 0.1237 ms 79.4% triton_mm_3245 0.1246 ms 78.8% triton_mm_3244 0.1270 ms 77.3% triton_mm_3248 0.1372 ms 71.6% triton_mm_3246 0.1451 ms 67.7% SingleProcess AUTOTUNE benchmarking takes 2.4481 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3766 ms 100.0% triton_mm_3360 0.3797 ms 99.2% triton_mm_3361 0.3957 ms 95.2% triton_mm_3362 0.4280 ms 88.0% triton_mm_3353 0.4658 ms 80.9% triton_mm_3355 0.4691 ms 80.3% triton_mm_3357 0.4786 ms 78.7% triton_mm_3354 0.4984 ms 75.6% triton_mm_3358 0.5374 ms 70.1% triton_mm_3356 0.5553 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 2.5640 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3519 ms 100.0% triton_mm_3398 0.3660 ms 96.2% triton_mm_3399 0.3724 ms 94.5% triton_mm_3400 0.3845 ms 91.5% triton_mm_3393 0.4568 ms 77.0% triton_mm_3394 0.4703 ms 74.8% triton_mm_3391 0.4789 ms 73.5% triton_mm_3395 0.4810 ms 73.2% triton_mm_3392 0.5046 ms 69.7% triton_mm_3396 0.5207 ms 67.6% SingleProcess AUTOTUNE benchmarking takes 2.5667 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0969 ms 100.0% triton_mm_3436 0.0995 ms 97.4% triton_mm_3437 0.1032 ms 93.9% triton_mm_3438 0.1089 ms 89.0% triton_mm_3429 0.1228 ms 78.9% triton_mm_3433 0.1242 ms 78.0% triton_mm_3431 0.1245 ms 77.8% triton_mm_3430 0.1276 ms 75.9% triton_mm_3434 0.1363 ms 71.1% triton_mm_3432 0.1450 ms 66.8% SingleProcess AUTOTUNE benchmarking takes 2.4470 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_3500 0.0337 ms 96.1% triton_mm_3504 0.0348 ms 93.0% triton_mm_3508 0.0456 ms 71.1% triton_mm_3512 0.0580 ms 55.8% triton_mm_3499 0.0618 ms 52.4% triton_mm_3498 0.0664 ms 48.8% triton_mm_3503 0.0706 ms 45.9% triton_mm_3507 0.0723 ms 44.8% triton_mm_3497 0.0772 ms 42.0% SingleProcess AUTOTUNE benchmarking takes 2.1071 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_3546 0.3789 ms 100.0% mm 0.3809 ms 99.5% triton_mm_3547 0.3958 ms 95.7% triton_mm_3548 0.4288 ms 88.4% triton_mm_3539 0.4657 ms 81.4% triton_mm_3541 0.4688 ms 80.8% triton_mm_3543 0.4787 ms 79.2% triton_mm_3540 0.4960 ms 76.4% triton_mm_3544 0.5336 ms 71.0% triton_mm_3542 0.5485 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5635 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0969 ms 100.0% triton_mm_3622 0.0994 ms 97.5% triton_mm_3623 0.1024 ms 94.6% triton_mm_3624 0.1100 ms 88.1% triton_mm_3615 0.1237 ms 78.3% triton_mm_3619 0.1243 ms 77.9% triton_mm_3617 0.1246 ms 77.8% triton_mm_3616 0.1269 ms 76.3% triton_mm_3620 0.1362 ms 71.1% triton_mm_3618 0.1451 ms 66.8% SingleProcess AUTOTUNE benchmarking takes 2.4454 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3766 ms 100.0% triton_mm_3732 0.3788 ms 99.4% triton_mm_3733 0.3953 ms 95.3% triton_mm_3734 0.4286 ms 87.9% triton_mm_3725 0.4651 ms 81.0% triton_mm_3727 0.4700 ms 80.1% triton_mm_3729 0.4790 ms 78.6% triton_mm_3726 0.4965 ms 75.9% triton_mm_3730 0.5325 ms 70.7% triton_mm_3728 0.5435 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5627 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0968 ms 100.0% triton_mm_3808 0.1003 ms 96.5% triton_mm_3809 0.1034 ms 93.7% triton_mm_3810 0.1088 ms 89.0% triton_mm_3801 0.1236 ms 78.4% triton_mm_3803 0.1236 ms 78.3% triton_mm_3805 0.1240 ms 78.1% triton_mm_3802 0.1284 ms 75.4% triton_mm_3806 0.1372 ms 70.6% triton_mm_3804 0.1459 ms 66.4% SingleProcess AUTOTUNE benchmarking takes 2.4528 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3768 ms 100.0% triton_mm_3918 0.3791 ms 99.4% triton_mm_3919 0.3966 ms 95.0% triton_mm_3920 0.4283 ms 88.0% triton_mm_3911 0.4631 ms 81.4% triton_mm_3913 0.4724 ms 79.8% triton_mm_3915 0.4780 ms 78.8% triton_mm_3912 0.4978 ms 75.7% triton_mm_3916 0.5341 ms 70.5% triton_mm_3914 0.5473 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 2.5635 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0968 ms 100.0% triton_mm_3994 0.0994 ms 97.4% triton_mm_3995 0.1031 ms 93.9% triton_mm_3996 0.1088 ms 89.0% triton_mm_3987 0.1227 ms 78.9% triton_mm_3991 0.1241 ms 78.0% triton_mm_3989 0.1245 ms 77.8% triton_mm_3988 0.1270 ms 76.2% triton_mm_3992 0.1362 ms 71.1% triton_mm_3990 0.1451 ms 66.7% SingleProcess AUTOTUNE benchmarking takes 2.4503 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3773 ms 100.0% triton_mm_4104 0.3780 ms 99.8% triton_mm_4105 0.3964 ms 95.2% triton_mm_4106 0.4288 ms 88.0% triton_mm_4097 0.4659 ms 81.0% triton_mm_4099 0.4689 ms 80.5% triton_mm_4101 0.4789 ms 78.8% triton_mm_4098 0.4984 ms 75.7% triton_mm_4102 0.5324 ms 70.9% triton_mm_4100 0.5503 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5615 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0978 ms 100.0% triton_mm_4180 0.0994 ms 98.4% triton_mm_4181 0.1023 ms 95.6% triton_mm_4182 0.1099 ms 89.0% triton_mm_4177 0.1235 ms 79.2% triton_mm_4175 0.1237 ms 79.1% triton_mm_4173 0.1238 ms 79.0% triton_mm_4174 0.1279 ms 76.5% triton_mm_4178 0.1362 ms 71.8% triton_mm_4176 0.1459 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 2.4568 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0972 ms 100.0% triton_mm_4366 0.0994 ms 97.8% triton_mm_4367 0.1032 ms 94.2% triton_mm_4368 0.1088 ms 89.3% triton_mm_4359 0.1226 ms 79.3% triton_mm_4363 0.1240 ms 78.3% triton_mm_4361 0.1246 ms 78.0% triton_mm_4360 0.1270 ms 76.5% triton_mm_4364 0.1361 ms 71.4% triton_mm_4362 0.1451 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 2.4594 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.0989 ms 100.0% triton_mm_4663 0.1047 ms 94.4% triton_mm_4659 0.1183 ms 83.6% triton_mm_4655 0.1193 ms 82.9% triton_mm_4657 0.1200 ms 82.4% mm 0.1219 ms 81.1% triton_mm_4656 0.1296 ms 76.3% triton_mm_4664 0.1307 ms 75.7% triton_mm_4660 0.1341 ms 73.7% triton_mm_4658 0.1543 ms 64.1% SingleProcess AUTOTUNE benchmarking takes 10.4682 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) mm 0.2326 ms 100.0% triton_mm_4700 0.2343 ms 99.3% triton_mm_4701 0.2422 ms 96.0% triton_mm_4702 0.2572 ms 90.4% triton_mm_4695 0.2929 ms 79.4% triton_mm_4697 0.2944 ms 79.0% triton_mm_4693 0.2949 ms 78.9% triton_mm_4696 0.3188 ms 73.0% triton_mm_4694 0.3216 ms 72.3% triton_mm_4698 0.3279 ms 70.9% SingleProcess AUTOTUNE benchmarking takes 10.5295 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2405 ms 100.0% triton_mm_4719 0.2798 ms 86.0% triton_mm_4720 0.2869 ms 83.8% triton_mm_4721 0.2909 ms 82.7% triton_mm_4716 0.3116 ms 77.2% triton_mm_4712 0.3137 ms 76.7% triton_mm_4715 0.3198 ms 75.2% triton_mm_4714 0.3218 ms 74.7% triton_mm_4717 0.3286 ms 73.2% triton_mm_4713 0.3351 ms 71.8% SingleProcess AUTOTUNE benchmarking takes 10.0424 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1656 ms 100.0% triton_mm_4752 0.1796 ms 92.2% triton_mm_4757 0.1808 ms 91.6% triton_mm_4754 0.1814 ms 91.3% triton_mm_4750 0.1819 ms 91.1% triton_mm_4758 0.1895 ms 87.4% triton_mm_4753 0.1906 ms 86.9% triton_mm_4759 0.1927 ms 85.9% triton_mm_4755 0.2040 ms 81.2% triton_mm_4751 0.2055 ms 80.6% SingleProcess AUTOTUNE benchmarking takes 9.9894 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0949 ms 100.0% triton_mm_4683 0.0995 ms 95.5% triton_mm_4682 0.1090 ms 87.1% triton_mm_4676 0.1174 ms 80.8% triton_mm_4681 0.1217 ms 78.0% triton_mm_4674 0.1224 ms 77.6% triton_mm_4678 0.1261 ms 75.3% triton_mm_4677 0.1281 ms 74.1% triton_mm_4679 0.1312 ms 72.3% triton_mm_4675 0.1343 ms 70.7% SingleProcess AUTOTUNE benchmarking takes 2.4608 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1483 ms 100.0% triton_mm_4738 0.1520 ms 97.6% triton_mm_4739 0.1544 ms 96.1% triton_mm_4740 0.1613 ms 92.0% triton_mm_4733 0.1872 ms 79.2% triton_mm_4735 0.1928 ms 76.9% triton_mm_4731 0.1943 ms 76.4% triton_mm_4734 0.2046 ms 72.5% triton_mm_4732 0.2049 ms 72.4% triton_mm_4736 0.2091 ms 70.9% SingleProcess AUTOTUNE benchmarking takes 10.5296 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0982 ms 100.0% triton_mm_4852 0.1007 ms 97.5% triton_mm_4853 0.1050 ms 93.5% triton_mm_4854 0.1116 ms 88.0% triton_mm_4845 0.1238 ms 79.3% triton_mm_4849 0.1251 ms 78.5% triton_mm_4847 0.1261 ms 77.9% triton_mm_4846 0.1281 ms 76.7% triton_mm_4850 0.1373 ms 71.5% triton_mm_4848 0.1463 ms 67.1% SingleProcess AUTOTUNE benchmarking takes 2.4485 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6840, 6840x32) mm 0.0322 ms 100.0% triton_mm_5887 0.0441 ms 73.0% triton_mm_5880 0.0451 ms 71.3% triton_mm_5878 0.0560 ms 57.5% triton_mm_5879 0.0657 ms 49.0% triton_mm_5886 0.0662 ms 48.6% triton_mm_5892 0.0687 ms 46.8% triton_mm_5877 0.0695 ms 46.2% triton_mm_5883 0.0700 ms 45.9% triton_mm_5891 0.0753 ms 42.7% SingleProcess AUTOTUNE benchmarking takes 6.5379 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): Validation Progress: 0%| | 0/44 [00:00 VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: model.safetensors: 0%| | 0.00/346M [00:00 VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: model.safetensors: 0%| | 0.00/346M [00:00 VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_7 0.0296 ms 100.0% triton_mm_8 0.0299 ms 99.0% triton_mm_6 0.0300 ms 98.6% triton_mm_9 0.0301 ms 98.2% triton_mm_12 0.0305 ms 97.0% triton_mm_11 0.0314 ms 94.2% triton_mm_4 0.0324 ms 91.4% triton_mm_3 0.0326 ms 90.6% triton_mm_2 0.0327 ms 90.5% triton_mm_14 0.0331 ms 89.4% SingleProcess AUTOTUNE benchmarking takes 2.0895 seconds and 0.0203 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0276 ms 100.0% triton_mm_29 0.0283 ms 97.6% triton_mm_24 0.0285 ms 96.9% triton_mm_18 0.0291 ms 95.2% triton_mm_28 0.0299 ms 92.5% triton_mm_25 0.0301 ms 91.7% triton_mm_21 0.0310 ms 89.2% bias_addmm 0.0311 ms 89.0% triton_mm_27 0.0336 ms 82.2% triton_mm_20 0.0339 ms 81.5% SingleProcess AUTOTUNE benchmarking takes 2.1876 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_51 0.3012 ms 100.0% triton_mm_50 0.3019 ms 99.8% triton_mm_52 0.3364 ms 89.5% bias_addmm 0.3396 ms 88.7% triton_mm_45 0.3525 ms 85.4% triton_mm_47 0.3738 ms 80.6% triton_mm_43 0.3800 ms 79.3% triton_mm_44 0.4137 ms 72.8% triton_mm_48 0.4244 ms 71.0% triton_mm_46 0.4290 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5592 seconds and 0.0132 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1049 ms 100.0% triton_mm_69 0.1068 ms 98.1% triton_mm_71 0.1164 ms 90.1% bias_addmm 0.1195 ms 87.8% triton_mm_64 0.1244 ms 84.3% addmm 0.1280 ms 81.9% triton_mm_66 0.1307 ms 80.3% triton_mm_62 0.1312 ms 79.9% triton_mm_63 0.1444 ms 72.6% triton_mm_67 0.1471 ms 71.3% SingleProcess AUTOTUNE benchmarking takes 2.5380 seconds and 0.0008 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.4047 ms 100.0% triton_mm_88 0.4084 ms 99.1% triton_mm_90 0.4541 ms 89.1% triton_mm_83 0.4702 ms 86.1% triton_mm_81 0.5012 ms 80.7% triton_mm_85 0.5055 ms 80.1% addmm 0.5173 ms 78.2% triton_mm_82 0.5540 ms 73.0% triton_mm_84 0.5668 ms 71.4% triton_mm_86 0.5708 ms 70.9% SingleProcess AUTOTUNE benchmarking takes 2.6901 seconds and 1.5969 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3722 ms 100.0% triton_mm_107 0.3891 ms 95.7% triton_mm_109 0.3932 ms 94.6% addmm 0.4295 ms 86.7% bias_addmm 0.4389 ms 84.8% triton_mm_102 0.4644 ms 80.1% triton_mm_103 0.4836 ms 77.0% triton_mm_100 0.4876 ms 76.3% triton_mm_104 0.4889 ms 76.1% triton_mm_105 0.5388 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.6838 seconds and 0.6803 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_126 0.0264 ms 100.0% triton_mm_122 0.0283 ms 93.3% triton_mm_117 0.0286 ms 92.3% triton_mm_121 0.0296 ms 89.1% bias_addmm 0.0297 ms 88.8% triton_mm_111 0.0300 ms 87.8% triton_mm_118 0.0301 ms 87.7% triton_mm_114 0.0309 ms 85.3% triton_mm_120 0.0336 ms 78.5% triton_mm_113 0.0339 ms 77.9% SingleProcess AUTOTUNE benchmarking takes 2.2072 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3705 ms 100.0% triton_mm_200 0.3896 ms 95.1% triton_mm_202 0.3952 ms 93.7% addmm 0.3974 ms 93.2% bias_addmm 0.4379 ms 84.6% triton_mm_195 0.4649 ms 79.7% triton_mm_196 0.4842 ms 76.5% triton_mm_193 0.4876 ms 76.0% triton_mm_197 0.4900 ms 75.6% triton_mm_198 0.5395 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 2.6815 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_219 0.0264 ms 100.0% triton_mm_215 0.0283 ms 93.1% triton_mm_210 0.0285 ms 92.4% triton_mm_204 0.0290 ms 91.0% triton_mm_214 0.0297 ms 88.9% triton_mm_211 0.0304 ms 86.6% triton_mm_207 0.0310 ms 85.1% bias_addmm 0.0327 ms 80.5% triton_mm_206 0.0339 ms 77.9% triton_mm_205 0.0344 ms 76.7% SingleProcess AUTOTUNE benchmarking takes 2.1966 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1625 ms 100.0% triton_mm_591 0.1626 ms 99.9% triton_mm_593 0.1812 ms 89.7% triton_mm_586 0.1932 ms 84.1% triton_mm_588 0.2019 ms 80.5% triton_mm_584 0.2023 ms 80.3% bias_addmm 0.2157 ms 75.3% triton_mm_585 0.2246 ms 72.4% triton_mm_589 0.2272 ms 71.5% triton_mm_587 0.2347 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.6149 seconds and 0.0108 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_610 0.2439 ms 100.0% triton_mm_611 0.2441 ms 99.9% bias_addmm 0.2660 ms 91.7% triton_mm_612 0.2688 ms 90.7% triton_mm_605 0.3009 ms 81.1% triton_mm_603 0.3059 ms 79.8% addmm 0.3060 ms 79.7% triton_mm_607 0.3113 ms 78.4% triton_mm_606 0.3315 ms 73.6% triton_mm_608 0.3493 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.6435 seconds and 0.0011 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0928 ms 100.0% triton_mm_630 0.0953 ms 97.4% triton_mm_629 0.0996 ms 93.1% triton_mm_631 0.1003 ms 92.5% triton_mm_626 0.1151 ms 80.6% triton_mm_624 0.1155 ms 80.4% triton_mm_622 0.1177 ms 78.8% triton_mm_625 0.1295 ms 71.7% triton_mm_627 0.1329 ms 69.8% triton_mm_623 0.1334 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.4305 seconds and 0.0010 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1938 0.0146 ms 100.0% triton_mm_1942 0.0146 ms 100.0% triton_mm_1946 0.0172 ms 84.8% triton_mm_1950 0.0188 ms 77.6% triton_mm_1935 0.0189 ms 77.0% triton_mm_1941 0.0192 ms 75.8% triton_mm_1936 0.0195 ms 74.8% triton_mm_1937 0.0202 ms 72.2% triton_mm_1945 0.0212 ms 68.7% triton_mm_1948 0.0227 ms 64.3% SingleProcess AUTOTUNE benchmarking takes 7.3190 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5643 ms 100.0% triton_mm_1968 2.6112 ms 98.2% triton_mm_1967 2.6378 ms 97.2% triton_mm_1969 2.9082 ms 88.2% triton_mm_1962 3.0847 ms 83.1% triton_mm_1964 3.2763 ms 78.3% addmm 3.3108 ms 77.5% triton_mm_1960 3.3622 ms 76.3% triton_mm_1963 3.6714 ms 69.8% triton_mm_1965 3.6801 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 11.8190 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.3459 ms 100.0% triton_mm_2006 2.3924 ms 98.1% mm 2.4226 ms 96.8% triton_mm_2007 2.5339 ms 92.6% triton_mm_2000 3.0341 ms 77.3% triton_mm_1998 3.0649 ms 76.5% triton_mm_2002 3.1003 ms 75.7% triton_mm_2001 3.1669 ms 74.1% triton_mm_2003 3.2851 ms 71.4% triton_mm_1999 3.3445 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.9800 seconds and 0.0008 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3609 ms 100.0% triton_mm_2077 0.3855 ms 93.6% triton_mm_2078 0.3929 ms 91.9% triton_mm_2079 0.4024 ms 89.7% triton_mm_2072 0.4820 ms 74.9% triton_mm_2074 0.4857 ms 74.3% triton_mm_2070 0.4865 ms 74.2% triton_mm_2073 0.5134 ms 70.3% triton_mm_2075 0.5276 ms 68.4% triton_mm_2071 0.5418 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 9.4660 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2030 0.0126 ms 100.0% triton_mm_2032 0.0128 ms 98.8% triton_mm_2034 0.0129 ms 98.3% triton_mm_2036 0.0129 ms 98.3% triton_mm_2035 0.0131 ms 96.8% triton_mm_2038 0.0131 ms 96.6% triton_mm_2033 0.0138 ms 91.6% triton_mm_2037 0.0140 ms 90.6% triton_mm_2031 0.0140 ms 90.0% triton_mm_2039 0.0141 ms 89.6% SingleProcess AUTOTUNE benchmarking takes 2.1345 seconds and 0.0007 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2012 0.0184 ms 100.0% mm 0.0193 ms 95.0% triton_mm_2016 0.0193 ms 95.0% triton_mm_2020 0.0226 ms 81.3% triton_mm_2024 0.0253 ms 72.6% triton_mm_2011 0.0261 ms 70.3% triton_mm_2010 0.0273 ms 67.3% triton_mm_2015 0.0292 ms 62.8% triton_mm_2019 0.0295 ms 62.4% triton_mm_2009 0.0307 ms 59.9% SingleProcess AUTOTUNE benchmarking takes 2.1028 seconds and 0.0008 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3742 ms 100.0% triton_mm_1986 2.3774 ms 99.9% triton_mm_1987 2.3866 ms 99.5% triton_mm_1988 2.4426 ms 97.2% triton_mm_1982 3.0656 ms 77.4% triton_mm_1981 3.2116 ms 73.9% triton_mm_1979 3.2585 ms 72.9% triton_mm_1980 3.2916 ms 72.1% triton_mm_1984 3.3648 ms 70.6% triton_mm_1983 3.5004 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 9.8699 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3836 ms 100.0% mm 0.3892 ms 98.6% triton_mm_2059 0.3994 ms 96.1% triton_mm_2060 0.4307 ms 89.1% triton_mm_2051 0.4666 ms 82.2% triton_mm_2053 0.4698 ms 81.7% triton_mm_2052 0.5008 ms 76.6% triton_mm_2056 0.5375 ms 71.4% triton_mm_2055 0.5410 ms 70.9% triton_mm_2048 0.6368 ms 60.2% SingleProcess AUTOTUNE benchmarking takes 11.0349 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) triton_mm_2096 0.3697 ms 100.0% triton_mm_2097 0.3748 ms 98.6% triton_mm_2098 0.3878 ms 95.3% mm 0.3958 ms 93.4% triton_mm_2091 0.4597 ms 80.4% triton_mm_2092 0.4743 ms 77.9% triton_mm_2093 0.4829 ms 76.5% triton_mm_2089 0.4841 ms 76.4% triton_mm_2090 0.5065 ms 73.0% triton_mm_2094 0.5230 ms 70.7% SingleProcess AUTOTUNE benchmarking takes 2.5934 seconds and 1.3577 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3777 ms 100.0% triton_mm_2116 0.3892 ms 97.0% mm 0.3906 ms 96.7% triton_mm_2117 0.4033 ms 93.7% triton_mm_2110 0.4715 ms 80.1% triton_mm_2108 0.4808 ms 78.5% triton_mm_2112 0.4841 ms 78.0% triton_mm_2111 0.5112 ms 73.9% triton_mm_2113 0.5288 ms 71.4% triton_mm_2109 0.5371 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5676 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2172 0.2765 ms 100.0% triton_mm_2173 0.2842 ms 97.3% triton_mm_2174 0.2934 ms 94.2% mm 0.3028 ms 91.3% triton_mm_2167 0.3441 ms 80.4% triton_mm_2168 0.3529 ms 78.4% triton_mm_2165 0.3627 ms 76.2% triton_mm_2169 0.3655 ms 75.7% triton_mm_2166 0.3804 ms 72.7% triton_mm_2170 0.3920 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 9.7260 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2895 ms 100.0% triton_mm_2192 0.2947 ms 98.3% mm 0.2951 ms 98.1% triton_mm_2193 0.3013 ms 96.1% triton_mm_2186 0.3543 ms 81.7% triton_mm_2184 0.3550 ms 81.6% triton_mm_2188 0.3560 ms 81.3% triton_mm_2187 0.3830 ms 75.6% triton_mm_2189 0.3954 ms 73.2% triton_mm_2185 0.4018 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 2.5397 seconds and 0.0010 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0950 ms 100.0% triton_mm_2155 0.0994 ms 95.6% triton_mm_2154 0.1088 ms 87.3% triton_mm_2148 0.1223 ms 77.7% triton_mm_2153 0.1230 ms 77.2% triton_mm_2150 0.1249 ms 76.0% triton_mm_2146 0.1253 ms 75.8% triton_mm_2149 0.1288 ms 73.8% triton_mm_2151 0.1330 ms 71.4% triton_mm_2147 0.1354 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.4493 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0982 ms 100.0% triton_mm_2134 0.0996 ms 98.7% triton_mm_2135 0.1030 ms 95.4% triton_mm_2136 0.1103 ms 89.1% triton_mm_2127 0.1249 ms 78.7% triton_mm_2131 0.1249 ms 78.7% triton_mm_2129 0.1253 ms 78.4% triton_mm_2128 0.1292 ms 76.0% triton_mm_2132 0.1377 ms 71.4% triton_mm_2130 0.1466 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 2.4432 seconds and 0.0010 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2223 0.0205 ms 100.0% triton_mm_2220 0.0206 ms 99.7% triton_mm_2217 0.0209 ms 98.3% triton_mm_2226 0.0216 ms 94.8% triton_mm_2221 0.0218 ms 94.3% triton_mm_2222 0.0218 ms 94.3% triton_mm_2219 0.0220 ms 93.0% triton_mm_2224 0.0220 ms 93.0% triton_mm_2216 0.0228 ms 90.0% triton_mm_2225 0.0229 ms 89.7% SingleProcess AUTOTUNE benchmarking takes 5.8043 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_2198 0.0324 ms 100.0% triton_mm_2202 0.0362 ms 89.5% triton_mm_2206 0.0458 ms 70.7% triton_mm_2210 0.0584 ms 55.5% triton_mm_2197 0.0607 ms 53.3% triton_mm_2196 0.0659 ms 49.1% triton_mm_2201 0.0703 ms 46.1% triton_mm_2205 0.0725 ms 44.7% triton_mm_2195 0.0776 ms 41.7% SingleProcess AUTOTUNE benchmarking takes 6.5636 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2244 0.3831 ms 100.0% mm 0.3867 ms 99.1% triton_mm_2245 0.3991 ms 96.0% triton_mm_2246 0.4312 ms 88.8% triton_mm_2237 0.4690 ms 81.7% triton_mm_2239 0.4723 ms 81.1% triton_mm_2241 0.4834 ms 79.3% triton_mm_2238 0.5013 ms 76.4% triton_mm_2242 0.5381 ms 71.2% triton_mm_2240 0.5513 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.5634 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3604 ms 100.0% triton_mm_2282 0.3687 ms 97.7% triton_mm_2283 0.3779 ms 95.4% triton_mm_2284 0.3899 ms 92.4% triton_mm_2277 0.4611 ms 78.2% triton_mm_2278 0.4748 ms 75.9% triton_mm_2275 0.4844 ms 74.4% triton_mm_2279 0.4863 ms 74.1% triton_mm_2276 0.5078 ms 71.0% triton_mm_2280 0.5247 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 2.5595 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2724 ms 100.0% triton_mm_2358 0.2768 ms 98.4% triton_mm_2359 0.2854 ms 95.4% triton_mm_2360 0.2947 ms 92.4% triton_mm_2353 0.3461 ms 78.7% triton_mm_2354 0.3548 ms 76.8% triton_mm_2351 0.3642 ms 74.8% triton_mm_2355 0.3673 ms 74.2% triton_mm_2352 0.3802 ms 71.6% triton_mm_2356 0.3928 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5383 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2913 ms 100.0% mm 0.2945 ms 98.9% triton_mm_2378 0.2946 ms 98.9% triton_mm_2379 0.3022 ms 96.4% triton_mm_2370 0.3544 ms 82.2% triton_mm_2372 0.3556 ms 81.9% triton_mm_2374 0.3579 ms 81.4% triton_mm_2373 0.3854 ms 75.6% triton_mm_2375 0.3973 ms 73.3% triton_mm_2371 0.4031 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5324 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0979 ms 100.0% triton_mm_2320 0.1004 ms 97.5% triton_mm_2321 0.1039 ms 94.2% triton_mm_2322 0.1094 ms 89.5% triton_mm_2313 0.1237 ms 79.2% triton_mm_2315 0.1256 ms 78.0% triton_mm_2317 0.1256 ms 77.9% triton_mm_2314 0.1288 ms 76.0% triton_mm_2318 0.1385 ms 70.7% triton_mm_2316 0.1459 ms 67.1% SingleProcess AUTOTUNE benchmarking takes 2.4322 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2406 0.0205 ms 100.0% triton_mm_2403 0.0209 ms 98.5% triton_mm_2412 0.0216 ms 95.1% triton_mm_2408 0.0217 ms 94.8% triton_mm_2409 0.0218 ms 94.3% triton_mm_2405 0.0220 ms 93.2% triton_mm_2404 0.0224 ms 91.8% triton_mm_2402 0.0229 ms 89.8% triton_mm_2407 0.0229 ms 89.7% triton_mm_2410 0.0232 ms 88.5% SingleProcess AUTOTUNE benchmarking takes 2.1318 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_2384 0.0335 ms 96.8% triton_mm_2388 0.0350 ms 92.8% triton_mm_2392 0.0466 ms 69.6% triton_mm_2396 0.0592 ms 54.8% triton_mm_2383 0.0607 ms 53.5% triton_mm_2382 0.0660 ms 49.2% triton_mm_2387 0.0711 ms 45.7% triton_mm_2391 0.0724 ms 44.8% triton_mm_2381 0.0776 ms 41.8% SingleProcess AUTOTUNE benchmarking takes 2.0799 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3603 ms 100.0% triton_mm_2468 0.3700 ms 97.4% triton_mm_2469 0.3782 ms 95.3% triton_mm_2470 0.3901 ms 92.4% triton_mm_2463 0.4601 ms 78.3% triton_mm_2464 0.4740 ms 76.0% triton_mm_2461 0.4850 ms 74.3% triton_mm_2465 0.4852 ms 74.3% triton_mm_2462 0.5072 ms 71.0% triton_mm_2466 0.5241 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5563 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2544 0.2779 ms 100.0% triton_mm_2545 0.2849 ms 97.5% triton_mm_2546 0.2940 ms 94.5% mm 0.3028 ms 91.8% triton_mm_2539 0.3476 ms 80.0% triton_mm_2540 0.3545 ms 78.4% triton_mm_2537 0.3638 ms 76.4% triton_mm_2541 0.3660 ms 75.9% triton_mm_2538 0.3802 ms 73.1% triton_mm_2542 0.3932 ms 70.7% SingleProcess AUTOTUNE benchmarking takes 2.5204 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2922 ms 100.0% mm 0.2941 ms 99.3% triton_mm_2564 0.2947 ms 99.2% triton_mm_2565 0.3013 ms 97.0% triton_mm_2556 0.3540 ms 82.5% triton_mm_2558 0.3554 ms 82.2% triton_mm_2560 0.3560 ms 82.1% triton_mm_2559 0.3844 ms 76.0% triton_mm_2561 0.3968 ms 73.6% triton_mm_2557 0.4032 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5324 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0953 ms 100.0% triton_mm_2527 0.1002 ms 95.1% triton_mm_2526 0.1088 ms 87.6% triton_mm_2525 0.1228 ms 77.6% triton_mm_2520 0.1232 ms 77.4% triton_mm_2522 0.1254 ms 76.0% triton_mm_2518 0.1255 ms 76.0% triton_mm_2521 0.1288 ms 74.0% triton_mm_2523 0.1326 ms 71.9% triton_mm_2519 0.1353 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.4398 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0972 ms 100.0% triton_mm_2506 0.1004 ms 96.8% triton_mm_2507 0.1044 ms 93.1% triton_mm_2508 0.1103 ms 88.2% triton_mm_2499 0.1244 ms 78.1% triton_mm_2501 0.1248 ms 77.9% triton_mm_2503 0.1252 ms 77.7% triton_mm_2500 0.1286 ms 75.6% triton_mm_2504 0.1384 ms 70.3% triton_mm_2502 0.1464 ms 66.4% SingleProcess AUTOTUNE benchmarking takes 2.4308 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2592 0.0205 ms 100.0% triton_mm_2589 0.0208 ms 98.6% triton_mm_2594 0.0217 ms 94.7% triton_mm_2593 0.0217 ms 94.5% triton_mm_2595 0.0217 ms 94.4% triton_mm_2588 0.0218 ms 94.3% triton_mm_2591 0.0219 ms 93.6% triton_mm_2598 0.0228 ms 90.2% triton_mm_2599 0.0228 ms 89.8% triton_mm_2596 0.0232 ms 88.4% SingleProcess AUTOTUNE benchmarking takes 2.1436 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_2570 0.0335 ms 96.5% triton_mm_2574 0.0349 ms 92.6% triton_mm_2578 0.0457 ms 70.7% triton_mm_2582 0.0583 ms 55.5% triton_mm_2569 0.0606 ms 53.4% triton_mm_2568 0.0650 ms 49.8% triton_mm_2573 0.0710 ms 45.5% triton_mm_2577 0.0716 ms 45.2% triton_mm_2567 0.0767 ms 42.2% SingleProcess AUTOTUNE benchmarking takes 2.1009 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3615 ms 100.0% triton_mm_2654 0.3687 ms 98.1% triton_mm_2655 0.3765 ms 96.0% triton_mm_2656 0.3895 ms 92.8% triton_mm_2649 0.4636 ms 78.0% triton_mm_2650 0.4751 ms 76.1% triton_mm_2647 0.4832 ms 74.8% triton_mm_2651 0.4844 ms 74.6% triton_mm_2648 0.5089 ms 71.0% triton_mm_2652 0.5252 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5547 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0941 ms 100.0% triton_mm_2713 0.1005 ms 93.6% triton_mm_2712 0.1098 ms 85.7% triton_mm_2706 0.1223 ms 76.9% triton_mm_2711 0.1228 ms 76.6% triton_mm_2708 0.1240 ms 75.9% triton_mm_2704 0.1255 ms 75.0% triton_mm_2707 0.1288 ms 73.0% triton_mm_2709 0.1317 ms 71.4% triton_mm_2705 0.1343 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.4285 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0982 ms 100.0% triton_mm_2692 0.1004 ms 97.8% triton_mm_2693 0.1039 ms 94.5% triton_mm_2694 0.1094 ms 89.7% triton_mm_2685 0.1241 ms 79.1% triton_mm_2689 0.1248 ms 78.7% triton_mm_2687 0.1254 ms 78.3% triton_mm_2686 0.1286 ms 76.3% triton_mm_2690 0.1378 ms 71.2% triton_mm_2688 0.1458 ms 67.3% SingleProcess AUTOTUNE benchmarking takes 2.4519 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2781 0.0205 ms 100.0% triton_mm_2780 0.0205 ms 99.8% triton_mm_2777 0.0208 ms 98.5% triton_mm_2784 0.0216 ms 95.0% triton_mm_2778 0.0217 ms 94.5% triton_mm_2775 0.0219 ms 93.6% triton_mm_2779 0.0228 ms 89.8% triton_mm_2774 0.0228 ms 89.8% triton_mm_2776 0.0228 ms 89.6% triton_mm_2783 0.0228 ms 89.6% SingleProcess AUTOTUNE benchmarking takes 2.1337 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2756 0.0323 ms 100.0% mm 0.0324 ms 99.9% triton_mm_2760 0.0361 ms 89.5% triton_mm_2764 0.0457 ms 70.7% triton_mm_2768 0.0583 ms 55.4% triton_mm_2755 0.0607 ms 53.2% triton_mm_2754 0.0659 ms 49.1% triton_mm_2759 0.0710 ms 45.5% triton_mm_2763 0.0724 ms 44.6% triton_mm_2753 0.0767 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.0883 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3610 ms 100.0% triton_mm_2840 0.3686 ms 97.9% triton_mm_2841 0.3765 ms 95.9% triton_mm_2842 0.3900 ms 92.6% triton_mm_2835 0.4609 ms 78.3% triton_mm_2836 0.4746 ms 76.1% triton_mm_2833 0.4839 ms 74.6% triton_mm_2837 0.4856 ms 74.3% triton_mm_2834 0.5081 ms 71.0% triton_mm_2838 0.5260 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5651 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0941 ms 100.0% triton_mm_2899 0.0994 ms 94.7% triton_mm_2898 0.1088 ms 86.5% triton_mm_2897 0.1221 ms 77.0% triton_mm_2892 0.1232 ms 76.4% triton_mm_2894 0.1254 ms 75.0% triton_mm_2890 0.1255 ms 75.0% triton_mm_2893 0.1288 ms 73.1% triton_mm_2895 0.1329 ms 70.8% triton_mm_2891 0.1352 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.4453 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0972 ms 100.0% triton_mm_2878 0.1005 ms 96.7% triton_mm_2879 0.1038 ms 93.6% triton_mm_2880 0.1094 ms 88.8% triton_mm_2871 0.1242 ms 78.3% triton_mm_2875 0.1254 ms 77.5% triton_mm_2873 0.1255 ms 77.5% triton_mm_2872 0.1287 ms 75.5% triton_mm_2876 0.1379 ms 70.5% triton_mm_2874 0.1459 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 2.4493 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2964 0.0206 ms 100.0% triton_mm_2966 0.0206 ms 100.0% triton_mm_2965 0.0217 ms 94.8% triton_mm_2960 0.0218 ms 94.6% triton_mm_2967 0.0219 ms 94.2% triton_mm_2968 0.0220 ms 93.5% triton_mm_2963 0.0221 ms 93.2% triton_mm_2961 0.0221 ms 93.1% triton_mm_2970 0.0229 ms 90.1% triton_mm_2971 0.0229 ms 90.1% SingleProcess AUTOTUNE benchmarking takes 2.1409 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_2942 0.0337 ms 96.4% triton_mm_2946 0.0349 ms 92.9% triton_mm_2950 0.0457 ms 71.0% triton_mm_2954 0.0583 ms 55.6% triton_mm_2941 0.0606 ms 53.5% triton_mm_2940 0.0650 ms 49.9% triton_mm_2945 0.0711 ms 45.6% triton_mm_2949 0.0717 ms 45.2% triton_mm_2939 0.0777 ms 41.8% SingleProcess AUTOTUNE benchmarking takes 2.0975 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3615 ms 100.0% triton_mm_3026 0.3696 ms 97.8% triton_mm_3027 0.3757 ms 96.2% triton_mm_3028 0.3891 ms 92.9% triton_mm_3021 0.4617 ms 78.3% triton_mm_3022 0.4737 ms 76.3% triton_mm_3019 0.4841 ms 74.7% triton_mm_3023 0.4864 ms 74.3% triton_mm_3020 0.5098 ms 70.9% triton_mm_3024 0.5239 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.5643 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_3153 0.0205 ms 100.0% triton_mm_3150 0.0205 ms 99.8% triton_mm_3152 0.0216 ms 94.7% triton_mm_3151 0.0217 ms 94.3% triton_mm_3147 0.0220 ms 93.0% triton_mm_3149 0.0220 ms 93.0% triton_mm_3148 0.0223 ms 91.7% triton_mm_3156 0.0227 ms 90.1% triton_mm_3146 0.0228 ms 89.6% triton_mm_3157 0.0228 ms 89.6% SingleProcess AUTOTUNE benchmarking takes 2.1485 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_3128 0.0334 ms 96.9% triton_mm_3132 0.0350 ms 92.7% triton_mm_3136 0.0469 ms 69.1% triton_mm_3140 0.0590 ms 54.9% triton_mm_3127 0.0607 ms 53.4% triton_mm_3126 0.0659 ms 49.2% triton_mm_3131 0.0711 ms 45.6% triton_mm_3135 0.0724 ms 44.8% triton_mm_3125 0.0775 ms 41.8% SingleProcess AUTOTUNE benchmarking takes 2.0979 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3601 ms 100.0% triton_mm_3212 0.3684 ms 97.7% triton_mm_3213 0.3770 ms 95.5% triton_mm_3214 0.3901 ms 92.3% triton_mm_3207 0.4621 ms 77.9% triton_mm_3208 0.4746 ms 75.9% triton_mm_3209 0.4835 ms 74.5% triton_mm_3205 0.4836 ms 74.5% triton_mm_3206 0.5080 ms 70.9% triton_mm_3210 0.5242 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 2.5685 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_3338 0.0206 ms 100.0% triton_mm_3335 0.0208 ms 98.8% triton_mm_3333 0.0208 ms 98.7% triton_mm_3336 0.0217 ms 95.0% triton_mm_3337 0.0218 ms 94.6% triton_mm_3339 0.0218 ms 94.6% triton_mm_3340 0.0220 ms 93.3% triton_mm_3334 0.0224 ms 92.0% triton_mm_3342 0.0227 ms 90.7% triton_mm_3332 0.0229 ms 90.0% SingleProcess AUTOTUNE benchmarking takes 2.1517 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_3314 0.0324 ms 99.9% triton_mm_3318 0.0350 ms 92.6% triton_mm_3322 0.0458 ms 70.8% triton_mm_3326 0.0593 ms 54.6% triton_mm_3313 0.0607 ms 53.3% triton_mm_3312 0.0660 ms 49.1% triton_mm_3317 0.0711 ms 45.6% triton_mm_3321 0.0717 ms 45.2% triton_mm_3311 0.0775 ms 41.8% SingleProcess AUTOTUNE benchmarking takes 2.0917 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3606 ms 100.0% triton_mm_3398 0.3691 ms 97.7% triton_mm_3399 0.3753 ms 96.1% triton_mm_3400 0.3882 ms 92.9% triton_mm_3393 0.4604 ms 78.3% triton_mm_3394 0.4721 ms 76.4% triton_mm_3391 0.4827 ms 74.7% triton_mm_3395 0.4850 ms 74.3% triton_mm_3392 0.5084 ms 70.9% triton_mm_3396 0.5242 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5705 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_3522 0.0206 ms 100.0% triton_mm_3524 0.0206 ms 100.0% triton_mm_3519 0.0208 ms 98.8% triton_mm_3528 0.0216 ms 95.3% triton_mm_3525 0.0218 ms 94.4% triton_mm_3521 0.0220 ms 93.5% triton_mm_3520 0.0224 ms 92.0% triton_mm_3518 0.0228 ms 90.1% triton_mm_3523 0.0229 ms 89.9% triton_mm_3526 0.0232 ms 88.6% SingleProcess AUTOTUNE benchmarking takes 2.1405 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0323 ms 100.0% triton_mm_3500 0.0334 ms 96.5% triton_mm_3504 0.0362 ms 89.0% triton_mm_3508 0.0469 ms 68.8% triton_mm_3512 0.0596 ms 54.1% triton_mm_3499 0.0615 ms 52.5% triton_mm_3498 0.0651 ms 49.6% triton_mm_3503 0.0710 ms 45.4% triton_mm_3507 0.0725 ms 44.5% triton_mm_3497 0.0768 ms 42.0% SingleProcess AUTOTUNE benchmarking takes 2.0978 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3604 ms 100.0% triton_mm_3584 0.3689 ms 97.7% triton_mm_3585 0.3763 ms 95.8% triton_mm_3586 0.3890 ms 92.7% triton_mm_3579 0.4620 ms 78.0% triton_mm_3580 0.4724 ms 76.3% triton_mm_3577 0.4834 ms 74.6% triton_mm_3581 0.4858 ms 74.2% triton_mm_3578 0.5088 ms 70.8% triton_mm_3582 0.5250 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5699 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_3711 0.0205 ms 100.0% triton_mm_3710 0.0205 ms 99.7% triton_mm_3705 0.0208 ms 98.6% triton_mm_3707 0.0208 ms 98.5% triton_mm_3714 0.0216 ms 95.0% triton_mm_3708 0.0216 ms 94.7% triton_mm_3704 0.0217 ms 94.3% triton_mm_3712 0.0220 ms 93.0% triton_mm_3709 0.0225 ms 90.9% triton_mm_3715 0.0228 ms 89.6% SingleProcess AUTOTUNE benchmarking takes 2.1388 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0323 ms 100.0% triton_mm_3686 0.0335 ms 96.5% triton_mm_3690 0.0349 ms 92.4% triton_mm_3694 0.0469 ms 68.8% triton_mm_3698 0.0583 ms 55.4% triton_mm_3685 0.0615 ms 52.5% triton_mm_3684 0.0650 ms 49.7% triton_mm_3689 0.0710 ms 45.5% triton_mm_3693 0.0725 ms 44.5% triton_mm_3683 0.0767 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.1033 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3610 ms 100.0% triton_mm_3770 0.3704 ms 97.5% triton_mm_3771 0.3761 ms 96.0% triton_mm_3772 0.3879 ms 93.1% triton_mm_3765 0.4606 ms 78.4% triton_mm_3766 0.4740 ms 76.2% triton_mm_3763 0.4848 ms 74.5% triton_mm_3767 0.4853 ms 74.4% triton_mm_3764 0.5076 ms 71.1% triton_mm_3768 0.5239 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 2.5684 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_3872 0.0324 ms 100.0% triton_mm_3876 0.0361 ms 89.7% triton_mm_3880 0.0469 ms 69.1% triton_mm_3884 0.0584 ms 55.5% triton_mm_3871 0.0607 ms 53.4% triton_mm_3870 0.0660 ms 49.2% triton_mm_3875 0.0702 ms 46.2% triton_mm_3879 0.0717 ms 45.2% triton_mm_3869 0.0767 ms 42.2% SingleProcess AUTOTUNE benchmarking takes 3.2760 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3600 ms 100.0% triton_mm_3956 0.3679 ms 97.9% triton_mm_3957 0.3759 ms 95.8% triton_mm_3958 0.3890 ms 92.6% triton_mm_3951 0.4611 ms 78.1% triton_mm_3952 0.4722 ms 76.2% triton_mm_3949 0.4823 ms 74.6% triton_mm_3953 0.4840 ms 74.4% triton_mm_3950 0.5086 ms 70.8% triton_mm_3954 0.5249 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5746 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3600 ms 100.0% triton_mm_4142 0.3688 ms 97.6% triton_mm_4143 0.3743 ms 96.2% triton_mm_4144 0.3876 ms 92.9% triton_mm_4137 0.4604 ms 78.2% triton_mm_4138 0.4724 ms 76.2% triton_mm_4139 0.4826 ms 74.6% triton_mm_4135 0.4832 ms 74.5% triton_mm_4136 0.5068 ms 71.0% triton_mm_4140 0.5236 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5677 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3600 ms 100.0% triton_mm_4328 0.3676 ms 97.9% triton_mm_4329 0.3756 ms 95.9% triton_mm_4330 0.3892 ms 92.5% triton_mm_4323 0.4596 ms 78.3% triton_mm_4324 0.4732 ms 76.1% triton_mm_4325 0.4821 ms 74.7% triton_mm_4321 0.4825 ms 74.6% triton_mm_4322 0.5070 ms 71.0% triton_mm_4326 0.5238 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 2.5718 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.0983 ms 100.0% triton_mm_4663 0.1034 ms 95.1% triton_mm_4659 0.1180 ms 83.2% triton_mm_4655 0.1187 ms 82.8% triton_mm_4657 0.1196 ms 82.2% mm 0.1211 ms 81.2% triton_mm_4656 0.1284 ms 76.5% triton_mm_4664 0.1295 ms 75.9% triton_mm_4660 0.1338 ms 73.4% triton_mm_4658 0.1543 ms 63.7% SingleProcess AUTOTUNE benchmarking takes 10.6123 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) triton_mm_4700 0.2349 ms 100.0% mm 0.2350 ms 100.0% triton_mm_4701 0.2453 ms 95.8% triton_mm_4702 0.2595 ms 90.5% triton_mm_4695 0.2932 ms 80.1% triton_mm_4693 0.2963 ms 79.3% triton_mm_4697 0.3005 ms 78.2% triton_mm_4696 0.3206 ms 73.3% triton_mm_4694 0.3271 ms 71.8% triton_mm_4698 0.3336 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.5178 seconds and 0.0010 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2419 ms 100.0% triton_mm_4719 0.2800 ms 86.4% triton_mm_4720 0.2875 ms 84.1% triton_mm_4721 0.2940 ms 82.3% triton_mm_4716 0.3162 ms 76.5% triton_mm_4712 0.3177 ms 76.1% triton_mm_4715 0.3227 ms 75.0% triton_mm_4714 0.3263 ms 74.1% triton_mm_4717 0.3307 ms 73.1% triton_mm_4713 0.3371 ms 71.8% SingleProcess AUTOTUNE benchmarking takes 9.8937 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1652 ms 100.0% triton_mm_4757 0.1801 ms 91.7% triton_mm_4752 0.1812 ms 91.2% triton_mm_4750 0.1839 ms 89.8% triton_mm_4754 0.1843 ms 89.6% triton_mm_4758 0.1894 ms 87.2% triton_mm_4753 0.1928 ms 85.7% triton_mm_4759 0.1933 ms 85.5% triton_mm_4755 0.2039 ms 81.0% triton_mm_4751 0.2067 ms 79.9% SingleProcess AUTOTUNE benchmarking takes 9.9955 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0952 ms 100.0% triton_mm_4683 0.0992 ms 96.0% triton_mm_4682 0.1084 ms 87.9% triton_mm_4676 0.1161 ms 82.0% triton_mm_4681 0.1206 ms 78.9% triton_mm_4674 0.1215 ms 78.3% triton_mm_4678 0.1246 ms 76.4% triton_mm_4677 0.1263 ms 75.4% triton_mm_4679 0.1310 ms 72.7% triton_mm_4675 0.1339 ms 71.1% SingleProcess AUTOTUNE benchmarking takes 2.4414 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1478 ms 100.0% triton_mm_4738 0.1531 ms 96.6% triton_mm_4739 0.1573 ms 94.0% triton_mm_4740 0.1627 ms 90.9% triton_mm_4733 0.1904 ms 77.6% triton_mm_4735 0.1951 ms 75.8% triton_mm_4731 0.1971 ms 75.0% triton_mm_4734 0.2041 ms 72.4% triton_mm_4732 0.2082 ms 71.0% triton_mm_4736 0.2110 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 10.3540 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6840, 6840x28) mm 0.0418 ms 100.0% triton_mm_5887 0.0476 ms 87.8% triton_mm_5880 0.0489 ms 85.5% triton_mm_5878 0.0577 ms 72.4% triton_mm_5879 0.0651 ms 64.2% triton_mm_5886 0.0702 ms 59.5% triton_mm_5883 0.0718 ms 58.2% triton_mm_5877 0.0734 ms 56.9% triton_mm_5892 0.0759 ms 55.1% triton_mm_5885 0.0809 ms 51.7% SingleProcess AUTOTUNE benchmarking takes 6.6396 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected. def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer: /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_9 0.0299 ms 100.0% triton_mm_12 0.0303 ms 98.8% triton_mm_7 0.0303 ms 98.6% triton_mm_4 0.0306 ms 97.9% triton_mm_8 0.0307 ms 97.5% triton_mm_6 0.0307 ms 97.4% triton_mm_11 0.0310 ms 96.6% triton_mm_3 0.0319 ms 93.7% triton_mm_15 0.0326 ms 91.8% triton_mm_14 0.0328 ms 91.3% SingleProcess AUTOTUNE benchmarking takes 2.1071 seconds and 0.0111 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0272 ms 100.0% triton_mm_29 0.0276 ms 98.6% triton_mm_28 0.0290 ms 93.8% triton_mm_24 0.0292 ms 93.1% triton_mm_18 0.0295 ms 92.2% bias_addmm 0.0304 ms 89.5% triton_mm_25 0.0305 ms 89.3% triton_mm_21 0.0309 ms 88.1% triton_mm_31 0.0328 ms 82.8% triton_mm_27 0.0329 ms 82.7% SingleProcess AUTOTUNE benchmarking takes 2.1849 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_51 0.2985 ms 100.0% triton_mm_50 0.2990 ms 99.8% triton_mm_52 0.3336 ms 89.5% bias_addmm 0.3363 ms 88.8% triton_mm_45 0.3480 ms 85.8% triton_mm_43 0.3684 ms 81.0% triton_mm_47 0.3710 ms 80.5% addmm 0.3831 ms 77.9% triton_mm_44 0.4132 ms 72.2% triton_mm_48 0.4224 ms 70.7% SingleProcess AUTOTUNE benchmarking takes 2.5959 seconds and 0.0292 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1039 ms 100.0% triton_mm_69 0.1069 ms 97.2% triton_mm_71 0.1150 ms 90.4% bias_addmm 0.1179 ms 88.1% triton_mm_64 0.1223 ms 85.0% addmm 0.1273 ms 81.6% triton_mm_62 0.1291 ms 80.5% triton_mm_66 0.1292 ms 80.4% triton_mm_63 0.1434 ms 72.5% triton_mm_67 0.1470 ms 70.7% SingleProcess AUTOTUNE benchmarking takes 2.5405 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.3948 ms 100.0% triton_mm_88 0.4012 ms 98.4% triton_mm_90 0.4456 ms 88.6% triton_mm_83 0.4602 ms 85.8% triton_mm_81 0.4860 ms 81.2% triton_mm_85 0.4986 ms 79.2% addmm 0.5085 ms 77.6% triton_mm_82 0.5432 ms 72.7% triton_mm_84 0.5600 ms 70.5% triton_mm_86 0.5680 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.6750 seconds and 0.5658 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3630 ms 100.0% triton_mm_107 0.3822 ms 95.0% triton_mm_109 0.3861 ms 94.0% addmm 0.4271 ms 85.0% bias_addmm 0.4362 ms 83.2% triton_mm_102 0.4558 ms 79.6% triton_mm_103 0.4743 ms 76.5% triton_mm_100 0.4780 ms 75.9% triton_mm_104 0.4785 ms 75.9% triton_mm_105 0.5298 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.6822 seconds and 0.0008 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3631 ms 100.0% triton_mm_200 0.3815 ms 95.2% triton_mm_202 0.3870 ms 93.8% addmm 0.4268 ms 85.1% bias_addmm 0.4355 ms 83.4% triton_mm_195 0.4550 ms 79.8% triton_mm_196 0.4749 ms 76.5% triton_mm_197 0.4775 ms 76.0% triton_mm_193 0.4782 ms 75.9% triton_mm_198 0.5331 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.6816 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_294 0.3628 ms 100.0% triton_mm_293 0.3825 ms 94.8% triton_mm_295 0.3871 ms 93.7% addmm 0.4273 ms 84.9% bias_addmm 0.4355 ms 83.3% triton_mm_288 0.4551 ms 79.7% triton_mm_289 0.4753 ms 76.3% triton_mm_290 0.4774 ms 76.0% triton_mm_286 0.4786 ms 75.8% triton_mm_291 0.5330 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.6769 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_387 0.3632 ms 100.0% triton_mm_386 0.3822 ms 95.0% triton_mm_388 0.3863 ms 94.0% addmm 0.4269 ms 85.1% bias_addmm 0.4355 ms 83.4% triton_mm_381 0.4556 ms 79.7% triton_mm_382 0.4745 ms 76.5% triton_mm_379 0.4779 ms 76.0% triton_mm_383 0.4787 ms 75.9% triton_mm_384 0.5329 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.6844 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_480 0.3629 ms 100.0% triton_mm_479 0.3823 ms 94.9% triton_mm_481 0.3860 ms 94.0% addmm 0.4271 ms 85.0% bias_addmm 0.4355 ms 83.3% triton_mm_474 0.4565 ms 79.5% triton_mm_475 0.4739 ms 76.6% triton_mm_472 0.4787 ms 75.8% triton_mm_476 0.4789 ms 75.8% triton_mm_477 0.5327 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.6804 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_573 0.3640 ms 100.0% triton_mm_572 0.3830 ms 95.0% triton_mm_574 0.3863 ms 94.2% addmm 0.4273 ms 85.2% bias_addmm 0.4355 ms 83.6% triton_mm_567 0.4562 ms 79.8% triton_mm_568 0.4751 ms 76.6% triton_mm_569 0.4780 ms 76.1% triton_mm_565 0.4784 ms 76.1% triton_mm_570 0.5309 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.6886 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1583 ms 100.0% triton_mm_591 0.1596 ms 99.2% triton_mm_593 0.1776 ms 89.1% triton_mm_586 0.1867 ms 84.8% triton_mm_588 0.1961 ms 80.8% triton_mm_584 0.1977 ms 80.1% bias_addmm 0.2150 ms 73.6% triton_mm_585 0.2192 ms 72.2% addmm 0.2224 ms 71.2% triton_mm_589 0.2235 ms 70.8% SingleProcess AUTOTUNE benchmarking takes 2.5937 seconds and 0.0085 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_611 0.2390 ms 100.0% triton_mm_610 0.2395 ms 99.8% bias_addmm 0.2604 ms 91.8% triton_mm_612 0.2620 ms 91.2% triton_mm_605 0.2932 ms 81.5% addmm 0.3000 ms 79.7% triton_mm_603 0.3007 ms 79.5% triton_mm_607 0.3033 ms 78.8% triton_mm_606 0.3281 ms 72.8% triton_mm_608 0.3439 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.6373 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0908 ms 100.0% triton_mm_630 0.0940 ms 96.6% triton_mm_631 0.0983 ms 92.4% triton_mm_629 0.0985 ms 92.2% triton_mm_624 0.1128 ms 80.6% triton_mm_626 0.1133 ms 80.2% triton_mm_622 0.1164 ms 78.0% triton_mm_625 0.1274 ms 71.3% triton_mm_623 0.1318 ms 68.9% triton_mm_627 0.1322 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 2.4194 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_723 0.3627 ms 100.0% triton_mm_722 0.3827 ms 94.8% triton_mm_724 0.3862 ms 93.9% addmm 0.4273 ms 84.9% bias_addmm 0.4362 ms 83.1% triton_mm_717 0.4555 ms 79.6% triton_mm_718 0.4750 ms 76.4% triton_mm_719 0.4782 ms 75.8% triton_mm_715 0.4787 ms 75.8% triton_mm_720 0.5300 ms 68.4% SingleProcess AUTOTUNE benchmarking takes 2.6781 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_816 0.3625 ms 100.0% triton_mm_815 0.3811 ms 95.1% triton_mm_817 0.3857 ms 94.0% addmm 0.4273 ms 84.8% bias_addmm 0.4364 ms 83.0% triton_mm_810 0.4556 ms 79.5% triton_mm_811 0.4744 ms 76.4% triton_mm_812 0.4773 ms 75.9% triton_mm_808 0.4782 ms 75.8% triton_mm_813 0.5291 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.6771 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_909 0.3616 ms 100.0% triton_mm_908 0.3812 ms 94.9% triton_mm_910 0.3854 ms 93.8% addmm 0.4271 ms 84.7% bias_addmm 0.4355 ms 83.0% triton_mm_903 0.4551 ms 79.4% triton_mm_904 0.4730 ms 76.4% triton_mm_901 0.4767 ms 75.9% triton_mm_905 0.4786 ms 75.5% triton_mm_906 0.5323 ms 67.9% SingleProcess AUTOTUNE benchmarking takes 2.6961 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1938 0.0142 ms 100.0% triton_mm_1942 0.0146 ms 97.8% triton_mm_1946 0.0162 ms 87.8% triton_mm_1950 0.0185 ms 77.1% triton_mm_1935 0.0198 ms 71.9% triton_mm_1937 0.0198 ms 71.8% triton_mm_1936 0.0203 ms 70.3% triton_mm_1941 0.0203 ms 70.1% triton_mm_1945 0.0223 ms 63.8% triton_mm_1948 0.0229 ms 62.2% SingleProcess AUTOTUNE benchmarking takes 7.4177 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5162 ms 100.0% triton_mm_1968 2.5353 ms 99.2% triton_mm_1967 2.5697 ms 97.9% triton_mm_1969 2.8630 ms 87.9% triton_mm_1962 3.0297 ms 83.1% triton_mm_1964 3.2165 ms 78.2% addmm 3.2564 ms 77.3% triton_mm_1960 3.3090 ms 76.0% triton_mm_1961 3.6020 ms 69.9% triton_mm_1963 3.6115 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 11.8571 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.2773 ms 100.0% triton_mm_2006 2.3444 ms 97.1% mm 2.4067 ms 94.6% triton_mm_2007 2.4605 ms 92.6% triton_mm_2000 2.9217 ms 77.9% triton_mm_1998 2.9704 ms 76.7% triton_mm_2002 3.0543 ms 74.6% triton_mm_2001 3.0864 ms 73.8% triton_mm_2003 3.2224 ms 70.7% triton_mm_1999 3.2993 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 9.7188 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3535 ms 100.0% triton_mm_2077 0.3781 ms 93.5% triton_mm_2078 0.3853 ms 91.7% triton_mm_2079 0.3942 ms 89.7% triton_mm_2072 0.4717 ms 74.9% triton_mm_2074 0.4758 ms 74.3% triton_mm_2070 0.4793 ms 73.7% triton_mm_2073 0.5039 ms 70.1% triton_mm_2075 0.5174 ms 68.3% triton_mm_2071 0.5308 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 9.9183 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2030 0.0125 ms 100.0% triton_mm_2034 0.0130 ms 96.3% triton_mm_2036 0.0130 ms 96.3% triton_mm_2033 0.0131 ms 95.1% triton_mm_2035 0.0132 ms 94.5% triton_mm_2039 0.0134 ms 92.9% triton_mm_2038 0.0135 ms 92.6% triton_mm_2029 0.0137 ms 91.1% triton_mm_2031 0.0138 ms 90.7% triton_mm_2032 0.0138 ms 90.5% SingleProcess AUTOTUNE benchmarking takes 5.9793 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2016 0.0177 ms 100.0% triton_mm_2012 0.0180 ms 98.8% mm 0.0192 ms 92.2% triton_mm_2020 0.0210 ms 84.5% triton_mm_2024 0.0256 ms 69.3% triton_mm_2011 0.0260 ms 68.1% triton_mm_2010 0.0273 ms 64.9% triton_mm_2015 0.0291 ms 61.0% triton_mm_2019 0.0296 ms 60.0% triton_mm_2009 0.0304 ms 58.3% SingleProcess AUTOTUNE benchmarking takes 7.1126 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3085 ms 100.0% triton_mm_1987 2.3373 ms 98.8% triton_mm_1986 2.3406 ms 98.6% triton_mm_1988 2.4018 ms 96.1% triton_mm_1982 3.0604 ms 75.4% triton_mm_1981 3.1544 ms 73.2% triton_mm_1979 3.1991 ms 72.2% triton_mm_1980 3.2111 ms 71.9% triton_mm_1984 3.2791 ms 70.4% triton_mm_1983 3.4457 ms 67.0% SingleProcess AUTOTUNE benchmarking takes 3.0113 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3748 ms 100.0% mm 0.3779 ms 99.2% triton_mm_2059 0.3915 ms 95.7% triton_mm_2060 0.4241 ms 88.4% triton_mm_2051 0.4602 ms 81.4% triton_mm_2053 0.4651 ms 80.6% triton_mm_2055 0.4730 ms 79.2% triton_mm_2052 0.4939 ms 75.9% triton_mm_2056 0.5308 ms 70.6% triton_mm_2054 0.5433 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.5468 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) triton_mm_2096 0.3608 ms 100.0% triton_mm_2097 0.3671 ms 98.3% triton_mm_2098 0.3802 ms 94.9% mm 0.3926 ms 91.9% triton_mm_2091 0.4501 ms 80.2% triton_mm_2092 0.4655 ms 77.5% triton_mm_2089 0.4741 ms 76.1% triton_mm_2093 0.4765 ms 75.7% triton_mm_2090 0.4992 ms 72.3% triton_mm_2094 0.5149 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5412 seconds and 1.1611 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3709 ms 100.0% mm 0.3823 ms 97.0% triton_mm_2116 0.3829 ms 96.9% triton_mm_2117 0.3960 ms 93.6% triton_mm_2110 0.4641 ms 79.9% triton_mm_2108 0.4740 ms 78.2% triton_mm_2112 0.4748 ms 78.1% triton_mm_2111 0.5032 ms 73.7% triton_mm_2113 0.5200 ms 71.3% triton_mm_2109 0.5284 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5596 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2172 0.2709 ms 100.0% triton_mm_2173 0.2784 ms 97.3% triton_mm_2174 0.2876 ms 94.2% mm 0.3007 ms 90.1% triton_mm_2167 0.3382 ms 80.1% triton_mm_2168 0.3470 ms 78.1% triton_mm_2165 0.3564 ms 76.0% triton_mm_2169 0.3588 ms 75.5% triton_mm_2166 0.3734 ms 72.6% triton_mm_2170 0.3852 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 9.6852 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2841 ms 100.0% triton_mm_2192 0.2884 ms 98.5% mm 0.2900 ms 98.0% triton_mm_2193 0.2956 ms 96.1% triton_mm_2186 0.3458 ms 82.2% triton_mm_2184 0.3460 ms 82.1% triton_mm_2188 0.3492 ms 81.4% triton_mm_2187 0.3758 ms 75.6% triton_mm_2189 0.3887 ms 73.1% triton_mm_2185 0.3940 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 9.9377 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0936 ms 100.0% triton_mm_2155 0.0998 ms 93.8% triton_mm_2154 0.1075 ms 87.1% triton_mm_2148 0.1194 ms 78.4% triton_mm_2153 0.1202 ms 77.9% triton_mm_2150 0.1224 ms 76.5% triton_mm_2146 0.1227 ms 76.3% triton_mm_2149 0.1268 ms 73.8% triton_mm_2151 0.1316 ms 71.1% triton_mm_2147 0.1331 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 9.7041 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0965 ms 100.0% triton_mm_2134 0.1000 ms 96.5% triton_mm_2135 0.1029 ms 93.8% triton_mm_2136 0.1090 ms 88.6% triton_mm_2127 0.1228 ms 78.6% triton_mm_2131 0.1241 ms 77.8% triton_mm_2129 0.1244 ms 77.6% triton_mm_2128 0.1269 ms 76.1% triton_mm_2132 0.1356 ms 71.2% triton_mm_2130 0.1446 ms 66.7% SingleProcess AUTOTUNE benchmarking takes 2.4455 seconds and 0.0010 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2217 0.0206 ms 100.0% triton_mm_2220 0.0215 ms 95.8% triton_mm_2221 0.0215 ms 95.8% triton_mm_2222 0.0215 ms 95.7% triton_mm_2216 0.0216 ms 95.5% triton_mm_2223 0.0216 ms 95.4% triton_mm_2219 0.0218 ms 94.7% triton_mm_2224 0.0218 ms 94.4% triton_mm_2218 0.0222 ms 92.9% triton_mm_2226 0.0227 ms 90.8% SingleProcess AUTOTUNE benchmarking takes 5.7610 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3543 ms 100.0% triton_mm_2263 0.3775 ms 93.9% triton_mm_2264 0.3859 ms 91.8% triton_mm_2265 0.3972 ms 89.2% triton_mm_2258 0.4722 ms 75.0% triton_mm_2260 0.4767 ms 74.3% triton_mm_2256 0.4805 ms 73.7% triton_mm_2259 0.5063 ms 70.0% triton_mm_2261 0.5182 ms 68.4% triton_mm_2257 0.5323 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 2.5617 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2198 0.0322 ms 100.0% mm 0.0325 ms 99.0% triton_mm_2202 0.0359 ms 89.7% triton_mm_2206 0.0454 ms 70.9% triton_mm_2210 0.0592 ms 54.4% triton_mm_2197 0.0604 ms 53.3% triton_mm_2196 0.0659 ms 48.8% triton_mm_2201 0.0711 ms 45.3% triton_mm_2205 0.0728 ms 44.2% triton_mm_2195 0.0773 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 6.6207 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2244 0.3751 ms 100.0% mm 0.3766 ms 99.6% triton_mm_2245 0.3911 ms 95.9% triton_mm_2246 0.4230 ms 88.7% triton_mm_2237 0.4598 ms 81.6% triton_mm_2239 0.4626 ms 81.1% triton_mm_2241 0.4746 ms 79.0% triton_mm_2238 0.4929 ms 76.1% triton_mm_2242 0.5313 ms 70.6% triton_mm_2240 0.5436 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.5595 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2301 0.3694 ms 100.0% triton_mm_2302 0.3819 ms 96.7% mm 0.3830 ms 96.4% triton_mm_2303 0.3971 ms 93.0% triton_mm_2296 0.4651 ms 79.4% triton_mm_2294 0.4738 ms 78.0% triton_mm_2298 0.4752 ms 77.7% triton_mm_2297 0.5040 ms 73.3% triton_mm_2299 0.5208 ms 70.9% triton_mm_2295 0.5293 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5527 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2666 ms 100.0% triton_mm_2358 0.2720 ms 98.0% triton_mm_2359 0.2791 ms 95.5% triton_mm_2360 0.2901 ms 91.9% triton_mm_2353 0.3399 ms 78.4% triton_mm_2354 0.3494 ms 76.3% triton_mm_2351 0.3566 ms 74.8% triton_mm_2355 0.3595 ms 74.2% triton_mm_2352 0.3734 ms 71.4% triton_mm_2356 0.3852 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5312 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2851 ms 100.0% mm 0.2893 ms 98.5% triton_mm_2378 0.2895 ms 98.5% triton_mm_2379 0.2964 ms 96.2% triton_mm_2370 0.3468 ms 82.2% triton_mm_2372 0.3469 ms 82.2% triton_mm_2374 0.3503 ms 81.4% triton_mm_2373 0.3796 ms 75.1% triton_mm_2375 0.3900 ms 73.1% triton_mm_2371 0.3954 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 2.5262 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0933 ms 100.0% triton_mm_2341 0.0988 ms 94.5% triton_mm_2340 0.1075 ms 86.9% triton_mm_2334 0.1194 ms 78.2% triton_mm_2339 0.1202 ms 77.6% triton_mm_2336 0.1225 ms 76.2% triton_mm_2332 0.1236 ms 75.5% triton_mm_2335 0.1270 ms 73.5% triton_mm_2337 0.1314 ms 71.0% triton_mm_2333 0.1341 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.4203 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0966 ms 100.0% triton_mm_2320 0.0993 ms 97.3% triton_mm_2321 0.1030 ms 93.8% triton_mm_2322 0.1089 ms 88.7% triton_mm_2317 0.1231 ms 78.4% triton_mm_2315 0.1233 ms 78.3% triton_mm_2313 0.1234 ms 78.3% triton_mm_2314 0.1278 ms 75.5% triton_mm_2318 0.1358 ms 71.1% triton_mm_2316 0.1447 ms 66.7% SingleProcess AUTOTUNE benchmarking takes 2.4307 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2406 0.0203 ms 100.0% triton_mm_2403 0.0206 ms 98.6% triton_mm_2405 0.0206 ms 98.4% triton_mm_2412 0.0215 ms 94.5% triton_mm_2408 0.0216 ms 94.3% triton_mm_2402 0.0216 ms 94.2% triton_mm_2409 0.0216 ms 93.9% triton_mm_2410 0.0219 ms 93.0% triton_mm_2411 0.0227 ms 89.6% triton_mm_2407 0.0227 ms 89.4% SingleProcess AUTOTUNE benchmarking takes 2.1278 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3542 ms 100.0% triton_mm_2449 0.3778 ms 93.7% triton_mm_2450 0.3866 ms 91.6% triton_mm_2451 0.3989 ms 88.8% triton_mm_2444 0.4734 ms 74.8% triton_mm_2446 0.4773 ms 74.2% triton_mm_2442 0.4811 ms 73.6% triton_mm_2445 0.5074 ms 69.8% triton_mm_2447 0.5188 ms 68.3% triton_mm_2443 0.5338 ms 66.3% SingleProcess AUTOTUNE benchmarking takes 2.5649 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2384 0.0322 ms 100.0% mm 0.0326 ms 98.7% triton_mm_2388 0.0359 ms 89.6% triton_mm_2392 0.0467 ms 68.9% triton_mm_2396 0.0588 ms 54.7% triton_mm_2383 0.0612 ms 52.5% triton_mm_2382 0.0651 ms 49.4% triton_mm_2387 0.0703 ms 45.8% triton_mm_2391 0.0727 ms 44.2% triton_mm_2381 0.0774 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 2.0729 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3745 ms 100.0% triton_mm_2430 0.3767 ms 99.4% triton_mm_2431 0.3922 ms 95.5% triton_mm_2432 0.4243 ms 88.3% triton_mm_2423 0.4599 ms 81.4% triton_mm_2425 0.4658 ms 80.4% triton_mm_2427 0.4757 ms 78.7% triton_mm_2424 0.4937 ms 75.9% triton_mm_2428 0.5316 ms 70.5% triton_mm_2426 0.5430 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.5589 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2487 0.3705 ms 100.0% mm 0.3823 ms 96.9% triton_mm_2488 0.3836 ms 96.6% triton_mm_2489 0.3978 ms 93.1% triton_mm_2482 0.4657 ms 79.6% triton_mm_2480 0.4745 ms 78.1% triton_mm_2484 0.4763 ms 77.8% triton_mm_2483 0.5047 ms 73.4% triton_mm_2485 0.5227 ms 70.9% triton_mm_2481 0.5307 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5544 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2870 ms 100.0% mm 0.2903 ms 98.9% triton_mm_2564 0.2904 ms 98.9% triton_mm_2565 0.2965 ms 96.8% triton_mm_2556 0.3467 ms 82.8% triton_mm_2558 0.3492 ms 82.2% triton_mm_2560 0.3498 ms 82.0% triton_mm_2559 0.3780 ms 75.9% triton_mm_2561 0.3888 ms 73.8% triton_mm_2557 0.3957 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5282 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0947 ms 100.0% triton_mm_2527 0.0997 ms 95.0% triton_mm_2526 0.1085 ms 87.3% triton_mm_2520 0.1202 ms 78.8% triton_mm_2525 0.1208 ms 78.4% triton_mm_2522 0.1225 ms 77.3% triton_mm_2518 0.1228 ms 77.1% triton_mm_2521 0.1279 ms 74.0% triton_mm_2523 0.1305 ms 72.5% triton_mm_2519 0.1331 ms 71.1% SingleProcess AUTOTUNE benchmarking takes 2.4200 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0975 ms 100.0% triton_mm_2506 0.0993 ms 98.3% triton_mm_2507 0.1022 ms 95.4% triton_mm_2508 0.1097 ms 88.9% triton_mm_2499 0.1225 ms 79.6% triton_mm_2503 0.1238 ms 78.8% triton_mm_2501 0.1241 ms 78.6% triton_mm_2500 0.1265 ms 77.1% triton_mm_2504 0.1359 ms 71.8% triton_mm_2502 0.1446 ms 67.4% SingleProcess AUTOTUNE benchmarking takes 2.4312 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2570 0.0332 ms 100.0% mm 0.0343 ms 96.7% triton_mm_2574 0.0347 ms 95.8% triton_mm_2578 0.0454 ms 73.1% triton_mm_2582 0.0591 ms 56.2% triton_mm_2569 0.0612 ms 54.2% triton_mm_2568 0.0659 ms 50.4% triton_mm_2573 0.0710 ms 46.8% triton_mm_2577 0.0719 ms 46.2% triton_mm_2567 0.0775 ms 42.9% SingleProcess AUTOTUNE benchmarking takes 2.0887 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2616 0.3760 ms 100.0% mm 0.3789 ms 99.2% triton_mm_2617 0.3914 ms 96.1% triton_mm_2618 0.4234 ms 88.8% triton_mm_2609 0.4591 ms 81.9% triton_mm_2611 0.4652 ms 80.8% triton_mm_2613 0.4724 ms 79.6% triton_mm_2610 0.4928 ms 76.3% triton_mm_2614 0.5316 ms 70.7% triton_mm_2612 0.5418 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5660 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2667 ms 100.0% triton_mm_2730 0.2728 ms 97.8% triton_mm_2731 0.2787 ms 95.7% triton_mm_2732 0.2886 ms 92.4% triton_mm_2725 0.3411 ms 78.2% triton_mm_2726 0.3493 ms 76.3% triton_mm_2723 0.3566 ms 74.8% triton_mm_2727 0.3592 ms 74.2% triton_mm_2724 0.3742 ms 71.3% triton_mm_2728 0.3855 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5382 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2756 0.0322 ms 100.0% mm 0.0324 ms 99.4% triton_mm_2760 0.0359 ms 89.7% triton_mm_2764 0.0468 ms 68.9% triton_mm_2768 0.0579 ms 55.6% triton_mm_2755 0.0604 ms 53.3% triton_mm_2754 0.0659 ms 48.9% triton_mm_2759 0.0711 ms 45.3% triton_mm_2763 0.0727 ms 44.3% triton_mm_2753 0.0773 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 2.1044 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2802 0.3753 ms 100.0% mm 0.3768 ms 99.6% triton_mm_2803 0.3907 ms 96.0% triton_mm_2804 0.4241 ms 88.5% triton_mm_2795 0.4595 ms 81.7% triton_mm_2797 0.4661 ms 80.5% triton_mm_2799 0.4739 ms 79.2% triton_mm_2796 0.4940 ms 76.0% triton_mm_2800 0.5274 ms 71.2% triton_mm_2798 0.5430 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5672 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2966 0.0203 ms 100.0% triton_mm_2967 0.0204 ms 99.5% triton_mm_2963 0.0206 ms 98.4% triton_mm_2970 0.0215 ms 94.5% triton_mm_2964 0.0215 ms 94.4% triton_mm_2960 0.0216 ms 94.2% triton_mm_2968 0.0219 ms 93.0% triton_mm_2961 0.0219 ms 92.7% triton_mm_2962 0.0222 ms 91.6% triton_mm_2965 0.0227 ms 89.4% SingleProcess AUTOTUNE benchmarking takes 2.1568 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3540 ms 100.0% triton_mm_3007 0.3774 ms 93.8% triton_mm_3008 0.3868 ms 91.5% triton_mm_3009 0.3970 ms 89.2% triton_mm_3002 0.4719 ms 75.0% triton_mm_3004 0.4774 ms 74.2% triton_mm_3000 0.4801 ms 73.7% triton_mm_3003 0.5069 ms 69.8% triton_mm_3005 0.5180 ms 68.3% triton_mm_3001 0.5326 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.5698 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2942 0.0322 ms 100.0% mm 0.0326 ms 98.7% triton_mm_2946 0.0347 ms 92.6% triton_mm_2950 0.0467 ms 68.9% triton_mm_2954 0.0591 ms 54.4% triton_mm_2941 0.0612 ms 52.5% triton_mm_2940 0.0651 ms 49.4% triton_mm_2945 0.0711 ms 45.2% triton_mm_2949 0.0728 ms 44.2% triton_mm_2939 0.0773 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 2.1010 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3745 ms 100.0% triton_mm_2988 0.3753 ms 99.8% triton_mm_2989 0.3910 ms 95.8% triton_mm_2990 0.4237 ms 88.4% triton_mm_2981 0.4597 ms 81.5% triton_mm_2983 0.4636 ms 80.8% triton_mm_2985 0.4736 ms 79.1% triton_mm_2982 0.4934 ms 75.9% triton_mm_2986 0.5313 ms 70.5% triton_mm_2984 0.5430 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.5674 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_3150 0.0203 ms 100.0% triton_mm_3152 0.0203 ms 100.0% triton_mm_3149 0.0206 ms 98.3% triton_mm_3156 0.0215 ms 94.5% triton_mm_3146 0.0216 ms 94.1% triton_mm_3153 0.0216 ms 93.8% triton_mm_3154 0.0218 ms 93.0% triton_mm_3147 0.0219 ms 92.8% triton_mm_3155 0.0227 ms 89.4% triton_mm_3151 0.0227 ms 89.3% SingleProcess AUTOTUNE benchmarking takes 2.1545 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3529 ms 100.0% triton_mm_3193 0.3774 ms 93.5% triton_mm_3194 0.3856 ms 91.5% triton_mm_3195 0.3967 ms 89.0% triton_mm_3188 0.4735 ms 74.5% triton_mm_3190 0.4780 ms 73.8% triton_mm_3186 0.4830 ms 73.1% triton_mm_3189 0.5057 ms 69.8% triton_mm_3191 0.5168 ms 68.3% triton_mm_3187 0.5327 ms 66.3% SingleProcess AUTOTUNE benchmarking takes 2.5657 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_3128 0.0333 ms 97.3% triton_mm_3132 0.0348 ms 93.3% triton_mm_3136 0.0467 ms 69.5% triton_mm_3140 0.0579 ms 56.0% triton_mm_3127 0.0612 ms 53.0% triton_mm_3126 0.0651 ms 49.8% triton_mm_3131 0.0703 ms 46.1% triton_mm_3135 0.0719 ms 45.1% triton_mm_3125 0.0766 ms 42.3% SingleProcess AUTOTUNE benchmarking takes 2.0955 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3755 ms 100.0% triton_mm_3174 0.3757 ms 99.9% triton_mm_3175 0.3918 ms 95.8% triton_mm_3176 0.4225 ms 88.9% triton_mm_3167 0.4591 ms 81.8% triton_mm_3169 0.4651 ms 80.7% triton_mm_3171 0.4729 ms 79.4% triton_mm_3168 0.4932 ms 76.1% triton_mm_3172 0.5318 ms 70.6% triton_mm_3170 0.5419 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5663 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3528 ms 100.0% triton_mm_3379 0.3758 ms 93.9% triton_mm_3380 0.3851 ms 91.6% triton_mm_3381 0.3962 ms 89.0% triton_mm_3374 0.4737 ms 74.5% triton_mm_3376 0.4761 ms 74.1% triton_mm_3372 0.4809 ms 73.4% triton_mm_3375 0.5079 ms 69.5% triton_mm_3377 0.5206 ms 67.8% triton_mm_3373 0.5316 ms 66.4% SingleProcess AUTOTUNE benchmarking takes 2.5655 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_3314 0.0322 ms 100.0% mm 0.0326 ms 98.7% triton_mm_3318 0.0358 ms 89.9% triton_mm_3322 0.0466 ms 69.1% triton_mm_3326 0.0591 ms 54.5% triton_mm_3313 0.0611 ms 52.7% triton_mm_3312 0.0651 ms 49.4% triton_mm_3317 0.0711 ms 45.3% triton_mm_3321 0.0728 ms 44.2% triton_mm_3311 0.0774 ms 41.6% SingleProcess AUTOTUNE benchmarking takes 2.0972 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3742 ms 100.0% triton_mm_3360 0.3760 ms 99.5% triton_mm_3361 0.3928 ms 95.3% triton_mm_3362 0.4239 ms 88.3% triton_mm_3353 0.4600 ms 81.3% triton_mm_3355 0.4632 ms 80.8% triton_mm_3357 0.4737 ms 79.0% triton_mm_3354 0.4946 ms 75.7% triton_mm_3358 0.5338 ms 70.1% triton_mm_3356 0.5439 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5664 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_3500 0.0334 ms 96.9% triton_mm_3504 0.0347 ms 93.2% triton_mm_3508 0.0454 ms 71.3% triton_mm_3512 0.0592 ms 54.7% triton_mm_3499 0.0612 ms 52.8% triton_mm_3498 0.0651 ms 49.7% triton_mm_3503 0.0702 ms 46.1% triton_mm_3507 0.0719 ms 45.0% triton_mm_3497 0.0773 ms 41.8% SingleProcess AUTOTUNE benchmarking takes 2.1039 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_3546 0.3760 ms 100.0% mm 0.3785 ms 99.3% triton_mm_3547 0.3916 ms 96.0% triton_mm_3548 0.4219 ms 89.1% triton_mm_3539 0.4582 ms 82.0% triton_mm_3541 0.4619 ms 81.4% triton_mm_3543 0.4722 ms 79.6% triton_mm_3540 0.4919 ms 76.4% triton_mm_3544 0.5309 ms 70.8% triton_mm_3542 0.5419 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5688 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.0983 ms 100.0% triton_mm_4663 0.1031 ms 95.3% triton_mm_4659 0.1166 ms 84.3% triton_mm_4655 0.1174 ms 83.8% triton_mm_4657 0.1180 ms 83.3% mm 0.1203 ms 81.8% triton_mm_4656 0.1277 ms 77.0% triton_mm_4664 0.1299 ms 75.7% triton_mm_4660 0.1324 ms 74.3% triton_mm_4658 0.1538 ms 63.9% SingleProcess AUTOTUNE benchmarking takes 10.5782 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) mm 0.2302 ms 100.0% triton_mm_4700 0.2309 ms 99.7% triton_mm_4701 0.2403 ms 95.8% triton_mm_4702 0.2547 ms 90.4% triton_mm_4695 0.2887 ms 79.7% triton_mm_4693 0.2914 ms 79.0% triton_mm_4697 0.2949 ms 78.1% triton_mm_4696 0.3151 ms 73.1% triton_mm_4694 0.3221 ms 71.5% triton_mm_4698 0.3292 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 10.3749 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2377 ms 100.0% triton_mm_4719 0.2766 ms 85.9% triton_mm_4720 0.2842 ms 83.6% triton_mm_4721 0.2885 ms 82.4% triton_mm_4716 0.3092 ms 76.9% triton_mm_4712 0.3122 ms 76.1% triton_mm_4715 0.3161 ms 75.2% triton_mm_4714 0.3193 ms 74.4% triton_mm_4717 0.3247 ms 73.2% triton_mm_4713 0.3324 ms 71.5% SingleProcess AUTOTUNE benchmarking takes 9.8099 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1621 ms 100.0% triton_mm_4752 0.1770 ms 91.6% triton_mm_4757 0.1770 ms 91.6% triton_mm_4754 0.1793 ms 90.4% triton_mm_4750 0.1805 ms 89.8% triton_mm_4758 0.1862 ms 87.1% triton_mm_4753 0.1884 ms 86.1% triton_mm_4759 0.1916 ms 84.6% triton_mm_4755 0.2007 ms 80.8% triton_mm_4751 0.2037 ms 79.6% SingleProcess AUTOTUNE benchmarking takes 9.8723 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0943 ms 100.0% triton_mm_4683 0.0994 ms 94.9% triton_mm_4682 0.1092 ms 86.4% triton_mm_4676 0.1151 ms 81.9% triton_mm_4674 0.1209 ms 78.0% triton_mm_4681 0.1217 ms 77.5% triton_mm_4678 0.1249 ms 75.5% triton_mm_4677 0.1258 ms 75.0% triton_mm_4679 0.1318 ms 71.6% triton_mm_4675 0.1330 ms 71.0% SingleProcess AUTOTUNE benchmarking takes 2.4481 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1460 ms 100.0% triton_mm_4738 0.1495 ms 97.6% triton_mm_4739 0.1537 ms 95.0% triton_mm_4740 0.1605 ms 90.9% triton_mm_4733 0.1863 ms 78.3% triton_mm_4735 0.1905 ms 76.6% triton_mm_4731 0.1927 ms 75.7% triton_mm_4734 0.2008 ms 72.7% triton_mm_4732 0.2032 ms 71.8% triton_mm_4736 0.2080 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 10.2445 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6840, 6840x32) mm 0.0311 ms 100.0% triton_mm_5887 0.0440 ms 70.8% triton_mm_5880 0.0441 ms 70.7% triton_mm_5878 0.0556 ms 56.0% triton_mm_5879 0.0641 ms 48.6% triton_mm_5886 0.0653 ms 47.6% triton_mm_5877 0.0680 ms 45.8% triton_mm_5883 0.0684 ms 45.5% triton_mm_5892 0.0691 ms 45.1% triton_mm_5891 0.0743 ms 41.9% SingleProcess AUTOTUNE benchmarking takes 6.5167 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(vae_ckpt, map_location="cpu") /home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(6840x28, 28x1280) triton_mm_6 0.0296 ms 100.0% triton_mm_8 0.0296 ms 100.0% triton_mm_7 0.0302 ms 98.0% triton_mm_12 0.0302 ms 98.0% triton_mm_9 0.0309 ms 95.9% triton_mm_11 0.0309 ms 95.8% triton_mm_4 0.0317 ms 93.4% triton_mm_15 0.0325 ms 91.2% triton_mm_16 0.0328 ms 90.3% triton_mm_3 0.0333 ms 88.9% SingleProcess AUTOTUNE benchmarking takes 2.2001 seconds and 0.0131 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_33 0.0275 ms 100.0% triton_mm_29 0.0283 ms 97.1% triton_mm_28 0.0285 ms 96.2% bias_addmm 0.0295 ms 93.2% triton_mm_24 0.0296 ms 92.9% triton_mm_18 0.0300 ms 91.6% triton_mm_25 0.0301 ms 91.3% triton_mm_21 0.0315 ms 87.3% triton_mm_19 0.0330 ms 83.1% triton_mm_31 0.0333 ms 82.4% SingleProcess AUTOTUNE benchmarking takes 2.1715 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840) triton_mm_50 0.3076 ms 100.0% triton_mm_51 0.3084 ms 99.8% bias_addmm 0.3372 ms 91.2% triton_mm_52 0.3469 ms 88.7% triton_mm_45 0.3602 ms 85.4% triton_mm_43 0.3805 ms 80.8% triton_mm_47 0.3828 ms 80.4% triton_mm_44 0.4236 ms 72.6% addmm 0.4255 ms 72.3% triton_mm_48 0.4357 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.6233 seconds and 0.0257 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280) triton_mm_70 0.1070 ms 100.0% triton_mm_69 0.1092 ms 98.0% triton_mm_71 0.1182 ms 90.6% bias_addmm 0.1222 ms 87.6% triton_mm_64 0.1266 ms 84.6% addmm 0.1326 ms 80.7% triton_mm_66 0.1341 ms 79.8% triton_mm_62 0.1342 ms 79.7% triton_mm_63 0.1480 ms 72.3% triton_mm_67 0.1503 ms 71.2% SingleProcess AUTOTUNE benchmarking takes 2.5402 seconds and 0.0008 seconds precompiling AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120) triton_mm_89 0.4115 ms 100.0% triton_mm_88 0.4166 ms 98.8% triton_mm_90 0.4610 ms 89.3% triton_mm_83 0.4787 ms 86.0% triton_mm_81 0.5079 ms 81.0% triton_mm_85 0.5168 ms 79.6% triton_mm_82 0.5629 ms 73.1% triton_mm_84 0.5758 ms 71.5% triton_mm_86 0.5860 ms 70.2% addmm 0.6031 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.6839 seconds and 2.0981 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_108 0.3767 ms 100.0% triton_mm_107 0.3938 ms 95.7% addmm 0.3984 ms 94.6% triton_mm_109 0.4020 ms 93.7% bias_addmm 0.4367 ms 86.3% triton_mm_102 0.4736 ms 79.5% triton_mm_104 0.4932 ms 76.4% triton_mm_100 0.4934 ms 76.3% triton_mm_103 0.4945 ms 76.2% triton_mm_105 0.5476 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.6950 seconds and 0.2328 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_126 0.0273 ms 100.0% triton_mm_122 0.0284 ms 96.2% triton_mm_117 0.0285 ms 95.6% bias_addmm 0.0294 ms 92.8% triton_mm_121 0.0298 ms 91.6% triton_mm_118 0.0301 ms 90.6% triton_mm_111 0.0301 ms 90.6% triton_mm_114 0.0309 ms 88.4% triton_mm_120 0.0336 ms 81.2% triton_mm_112 0.0343 ms 79.6% SingleProcess AUTOTUNE benchmarking takes 2.2045 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280) triton_mm_201 0.3759 ms 100.0% triton_mm_200 0.3934 ms 95.5% triton_mm_202 0.3982 ms 94.4% addmm 0.4284 ms 87.7% bias_addmm 0.4363 ms 86.1% triton_mm_195 0.4703 ms 79.9% triton_mm_193 0.4907 ms 76.6% triton_mm_197 0.4923 ms 76.4% triton_mm_196 0.4934 ms 76.2% triton_mm_198 0.5460 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.6775 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_219 0.0274 ms 100.0% triton_mm_215 0.0277 ms 98.6% triton_mm_214 0.0285 ms 95.9% triton_mm_204 0.0291 ms 94.2% triton_mm_210 0.0297 ms 92.1% triton_mm_211 0.0301 ms 90.9% bias_addmm 0.0313 ms 87.3% triton_mm_207 0.0314 ms 87.1% triton_mm_205 0.0331 ms 82.8% triton_mm_217 0.0333 ms 82.2% SingleProcess AUTOTUNE benchmarking takes 2.1982 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_312 0.0275 ms 100.0% triton_mm_308 0.0284 ms 97.1% triton_mm_297 0.0290 ms 94.9% triton_mm_307 0.0298 ms 92.5% triton_mm_303 0.0298 ms 92.4% triton_mm_304 0.0301 ms 91.4% triton_mm_300 0.0315 ms 87.5% bias_addmm 0.0326 ms 84.5% triton_mm_298 0.0330 ms 83.4% triton_mm_299 0.0330 ms 83.4% SingleProcess AUTOTUNE benchmarking takes 2.2055 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_405 0.0276 ms 100.0% triton_mm_401 0.0284 ms 97.1% triton_mm_396 0.0285 ms 96.7% triton_mm_400 0.0297 ms 92.7% triton_mm_390 0.0301 ms 91.6% triton_mm_397 0.0301 ms 91.6% triton_mm_393 0.0309 ms 89.3% bias_addmm 0.0325 ms 84.8% triton_mm_391 0.0330 ms 83.5% triton_mm_392 0.0330 ms 83.5% SingleProcess AUTOTUNE benchmarking takes 2.1757 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_498 0.0267 ms 100.0% triton_mm_494 0.0276 ms 96.4% triton_mm_493 0.0286 ms 93.3% triton_mm_489 0.0296 ms 90.1% triton_mm_483 0.0300 ms 88.8% triton_mm_490 0.0301 ms 88.4% triton_mm_486 0.0309 ms 86.2% bias_addmm 0.0324 ms 82.3% triton_mm_492 0.0336 ms 79.3% triton_mm_484 0.0340 ms 78.3% SingleProcess AUTOTUNE benchmarking takes 2.1821 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1280, 1280x2048) triton_mm_592 0.1624 ms 100.0% triton_mm_591 0.1628 ms 99.8% triton_mm_593 0.1808 ms 89.9% triton_mm_586 0.1922 ms 84.5% triton_mm_584 0.2009 ms 80.8% triton_mm_588 0.2012 ms 80.7% bias_addmm 0.2150 ms 75.6% triton_mm_585 0.2237 ms 72.6% addmm 0.2239 ms 72.5% triton_mm_589 0.2279 ms 71.3% SingleProcess AUTOTUNE benchmarking takes 3.9478 seconds and 0.0199 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x2048, 2048x2048) triton_mm_611 0.2453 ms 100.0% triton_mm_610 0.2456 ms 99.9% bias_addmm 0.2676 ms 91.6% triton_mm_612 0.2690 ms 91.2% triton_mm_605 0.2992 ms 82.0% triton_mm_603 0.3066 ms 80.0% addmm 0.3072 ms 79.8% triton_mm_607 0.3074 ms 79.8% triton_mm_606 0.3334 ms 73.6% triton_mm_608 0.3508 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.6441 seconds and 0.0011 seconds precompiling AUTOTUNE mm(6864x2048, 2048x768) mm 0.0927 ms 100.0% triton_mm_630 0.0949 ms 97.7% triton_mm_629 0.1003 ms 92.5% triton_mm_631 0.1003 ms 92.5% triton_mm_624 0.1169 ms 79.3% triton_mm_626 0.1180 ms 78.6% triton_mm_622 0.1208 ms 76.7% triton_mm_625 0.1289 ms 71.9% triton_mm_627 0.1332 ms 69.6% triton_mm_623 0.1335 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.4400 seconds and 0.0011 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_648 0.0274 ms 100.0% triton_mm_644 0.0284 ms 96.6% triton_mm_639 0.0285 ms 96.1% triton_mm_633 0.0291 ms 94.2% bias_addmm 0.0295 ms 93.0% triton_mm_643 0.0298 ms 92.2% triton_mm_640 0.0301 ms 91.2% triton_mm_636 0.0314 ms 87.3% triton_mm_634 0.0330 ms 83.0% triton_mm_635 0.0331 ms 82.9% SingleProcess AUTOTUNE benchmarking takes 2.2229 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_741 0.0274 ms 100.0% triton_mm_737 0.0282 ms 97.1% triton_mm_732 0.0285 ms 96.0% triton_mm_736 0.0285 ms 96.0% triton_mm_726 0.0302 ms 90.7% triton_mm_733 0.0307 ms 89.3% triton_mm_729 0.0309 ms 88.5% bias_addmm 0.0325 ms 84.2% triton_mm_735 0.0336 ms 81.4% triton_mm_728 0.0342 ms 80.1% SingleProcess AUTOTUNE benchmarking takes 2.1843 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x7680, 24x1280, 1280x7680) triton_mm_834 0.0274 ms 100.0% triton_mm_830 0.0277 ms 99.0% triton_mm_825 0.0296 ms 92.7% triton_mm_829 0.0296 ms 92.7% triton_mm_819 0.0300 ms 91.4% triton_mm_826 0.0307 ms 89.4% triton_mm_822 0.0309 ms 88.6% bias_addmm 0.0324 ms 84.7% triton_mm_821 0.0330 ms 83.0% triton_mm_832 0.0333 ms 82.4% SingleProcess AUTOTUNE benchmarking takes 2.1886 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x1280, 1280x2560) triton_mm_1938 0.0155 ms 100.0% triton_mm_1942 0.0156 ms 99.7% triton_mm_1946 0.0163 ms 95.0% triton_mm_1950 0.0186 ms 83.5% triton_mm_1937 0.0199 ms 77.8% triton_mm_1936 0.0201 ms 77.3% triton_mm_1935 0.0201 ms 77.0% triton_mm_1941 0.0205 ms 75.6% triton_mm_1945 0.0216 ms 71.9% triton_mm_1948 0.0232 ms 66.8% SingleProcess AUTOTUNE benchmarking takes 7.2905 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768) bias_addmm 2.5555 ms 100.0% triton_mm_1968 2.5996 ms 98.3% triton_mm_1967 2.6326 ms 97.1% triton_mm_1969 2.9052 ms 88.0% triton_mm_1962 3.0972 ms 82.5% triton_mm_1964 3.2663 ms 78.2% addmm 3.3347 ms 76.6% triton_mm_1960 3.3841 ms 75.5% triton_mm_1965 3.7056 ms 69.0% triton_mm_1963 3.7064 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 14.9707 seconds and 0.0000 seconds precompiling /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): AUTOTUNE mm(32768x6864, 6864x1280) triton_mm_2005 2.3406 ms 100.0% triton_mm_2006 2.4032 ms 97.4% mm 2.4121 ms 97.0% triton_mm_2007 2.5264 ms 92.6% triton_mm_2000 2.9981 ms 78.1% triton_mm_1998 3.0172 ms 77.6% triton_mm_2002 3.1324 ms 74.7% triton_mm_2001 3.1651 ms 74.0% triton_mm_2003 3.2860 ms 71.2% triton_mm_1999 3.3460 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 10.2906 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3615 ms 100.0% triton_mm_2077 0.3870 ms 93.4% triton_mm_2078 0.3941 ms 91.7% triton_mm_2079 0.4051 ms 89.2% triton_mm_2072 0.4830 ms 74.8% triton_mm_2074 0.4864 ms 74.3% triton_mm_2070 0.4868 ms 74.3% triton_mm_2073 0.5163 ms 70.0% triton_mm_2075 0.5310 ms 68.1% triton_mm_2071 0.5446 ms 66.4% SingleProcess AUTOTUNE benchmarking takes 9.8867 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2560x24, 24x1280) triton_mm_2030 0.0125 ms 100.0% triton_mm_2038 0.0130 ms 96.3% triton_mm_2033 0.0130 ms 95.8% triton_mm_2040 0.0132 ms 94.2% triton_mm_2036 0.0134 ms 93.1% triton_mm_2031 0.0135 ms 92.7% triton_mm_2029 0.0135 ms 92.4% triton_mm_2037 0.0137 ms 91.0% triton_mm_2032 0.0138 ms 90.6% triton_mm_2034 0.0138 ms 90.6% SingleProcess AUTOTUNE benchmarking takes 2.1445 seconds and 0.0009 seconds precompiling AUTOTUNE mm(24x2560, 2560x1280) triton_mm_2016 0.0191 ms 100.0% mm 0.0195 ms 98.0% triton_mm_2012 0.0199 ms 95.7% triton_mm_2020 0.0224 ms 85.1% triton_mm_2024 0.0252 ms 75.8% triton_mm_2011 0.0253 ms 75.4% triton_mm_2010 0.0265 ms 72.0% triton_mm_2019 0.0286 ms 66.7% triton_mm_2015 0.0293 ms 65.1% triton_mm_2009 0.0297 ms 64.3% SingleProcess AUTOTUNE benchmarking takes 7.4495 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1280) mm 2.3751 ms 100.0% triton_mm_1986 2.3761 ms 100.0% triton_mm_1987 2.3865 ms 99.5% triton_mm_1988 2.4657 ms 96.3% triton_mm_1982 3.0633 ms 77.5% triton_mm_1981 3.2169 ms 73.8% triton_mm_1979 3.2739 ms 72.5% triton_mm_1980 3.2913 ms 72.2% triton_mm_1984 3.3976 ms 69.9% triton_mm_1983 3.5004 ms 67.9% SingleProcess AUTOTUNE benchmarking takes 10.1654 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2058 0.3849 ms 100.0% mm 0.3902 ms 98.6% triton_mm_2059 0.4012 ms 95.9% triton_mm_2060 0.4328 ms 88.9% triton_mm_2051 0.4689 ms 82.1% triton_mm_2053 0.4711 ms 81.7% triton_mm_2055 0.4838 ms 79.6% triton_mm_2052 0.5019 ms 76.7% triton_mm_2056 0.5389 ms 71.4% triton_mm_2054 0.5481 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 10.9401 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3624 ms 100.0% triton_mm_2096 0.3704 ms 97.8% triton_mm_2097 0.3777 ms 95.9% triton_mm_2098 0.3905 ms 92.8% triton_mm_2091 0.4599 ms 78.8% triton_mm_2092 0.4744 ms 76.4% triton_mm_2089 0.4848 ms 74.8% triton_mm_2093 0.4863 ms 74.5% triton_mm_2090 0.5097 ms 71.1% triton_mm_2094 0.5260 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 9.8721 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2115 0.3798 ms 100.0% mm 0.3894 ms 97.5% triton_mm_2116 0.3912 ms 97.1% triton_mm_2117 0.4050 ms 93.8% triton_mm_2110 0.4752 ms 79.9% triton_mm_2108 0.4832 ms 78.6% triton_mm_2112 0.4852 ms 78.3% triton_mm_2111 0.5134 ms 74.0% triton_mm_2113 0.5333 ms 71.2% triton_mm_2109 0.5397 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 9.8422 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) triton_mm_2172 0.2777 ms 100.0% triton_mm_2173 0.2846 ms 97.6% triton_mm_2174 0.2956 ms 94.0% mm 0.3019 ms 92.0% triton_mm_2167 0.3479 ms 79.8% triton_mm_2168 0.3548 ms 78.3% triton_mm_2165 0.3650 ms 76.1% triton_mm_2169 0.3680 ms 75.5% triton_mm_2166 0.3827 ms 72.6% triton_mm_2170 0.3947 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 9.8953 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2191 0.2933 ms 100.0% triton_mm_2192 0.2955 ms 99.3% mm 0.2980 ms 98.4% triton_mm_2193 0.3023 ms 97.0% triton_mm_2186 0.3545 ms 82.7% triton_mm_2184 0.3546 ms 82.7% triton_mm_2188 0.3577 ms 82.0% triton_mm_2187 0.3856 ms 76.1% triton_mm_2189 0.3986 ms 73.6% triton_mm_2185 0.4034 ms 72.7% SingleProcess AUTOTUNE benchmarking takes 9.9334 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0949 ms 100.0% triton_mm_2155 0.1003 ms 94.6% triton_mm_2154 0.1086 ms 87.4% triton_mm_2153 0.1209 ms 78.5% triton_mm_2148 0.1226 ms 77.4% triton_mm_2150 0.1229 ms 77.3% triton_mm_2146 0.1232 ms 77.0% triton_mm_2151 0.1328 ms 71.5% triton_mm_2147 0.1347 ms 70.5% triton_mm_2149 0.1545 ms 61.5% SingleProcess AUTOTUNE benchmarking takes 9.6826 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x1280) mm 0.0992 ms 100.0% triton_mm_2134 0.1010 ms 98.3% triton_mm_2135 0.1041 ms 95.4% triton_mm_2136 0.1097 ms 90.5% triton_mm_2127 0.1247 ms 79.6% triton_mm_2129 0.1254 ms 79.1% triton_mm_2131 0.1255 ms 79.1% triton_mm_2128 0.1289 ms 77.0% triton_mm_2132 0.1379 ms 72.0% triton_mm_2130 0.1455 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 2.4425 seconds and 0.0010 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2222 0.0205 ms 100.0% triton_mm_2217 0.0208 ms 98.5% triton_mm_2221 0.0217 ms 94.7% triton_mm_2220 0.0217 ms 94.4% triton_mm_2223 0.0218 ms 94.3% triton_mm_2216 0.0218 ms 94.0% triton_mm_2219 0.0219 ms 93.6% triton_mm_2226 0.0221 ms 92.8% triton_mm_2218 0.0223 ms 92.0% triton_mm_2224 0.0225 ms 91.3% SingleProcess AUTOTUNE benchmarking takes 5.7895 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3589 ms 100.0% triton_mm_2263 0.3857 ms 93.1% triton_mm_2264 0.3947 ms 90.9% triton_mm_2265 0.4059 ms 88.4% triton_mm_2258 0.4842 ms 74.1% triton_mm_2260 0.4860 ms 73.8% triton_mm_2256 0.4877 ms 73.6% triton_mm_2259 0.5172 ms 69.4% triton_mm_2261 0.5307 ms 67.6% triton_mm_2257 0.5435 ms 66.0% SingleProcess AUTOTUNE benchmarking takes 2.5604 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) triton_mm_2198 0.0325 ms 100.0% mm 0.0326 ms 99.8% triton_mm_2202 0.0348 ms 93.6% triton_mm_2206 0.0456 ms 71.4% triton_mm_2210 0.0581 ms 56.0% triton_mm_2197 0.0614 ms 53.0% triton_mm_2196 0.0653 ms 49.8% triton_mm_2201 0.0705 ms 46.2% triton_mm_2205 0.0721 ms 45.1% triton_mm_2195 0.0767 ms 42.4% SingleProcess AUTOTUNE benchmarking takes 6.6081 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3838 ms 100.0% triton_mm_2244 0.3840 ms 100.0% triton_mm_2245 0.4016 ms 95.6% triton_mm_2246 0.4330 ms 88.6% triton_mm_2237 0.4687 ms 81.9% triton_mm_2239 0.4715 ms 81.4% triton_mm_2241 0.4840 ms 79.3% triton_mm_2238 0.5038 ms 76.2% triton_mm_2242 0.5396 ms 71.1% triton_mm_2240 0.5516 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5599 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3592 ms 100.0% triton_mm_2282 0.3714 ms 96.7% triton_mm_2283 0.3783 ms 94.9% triton_mm_2284 0.3913 ms 91.8% triton_mm_2277 0.4627 ms 77.6% triton_mm_2278 0.4756 ms 75.5% triton_mm_2275 0.4857 ms 74.0% triton_mm_2279 0.4886 ms 73.5% triton_mm_2276 0.5128 ms 70.0% triton_mm_2280 0.5278 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.5606 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2301 0.3803 ms 100.0% mm 0.3903 ms 97.4% triton_mm_2302 0.3924 ms 96.9% triton_mm_2303 0.4069 ms 93.5% triton_mm_2296 0.4766 ms 79.8% triton_mm_2294 0.4856 ms 78.3% triton_mm_2298 0.4872 ms 78.0% triton_mm_2297 0.5169 ms 73.6% triton_mm_2299 0.5344 ms 71.2% triton_mm_2295 0.5440 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5528 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2713 ms 100.0% triton_mm_2358 0.2791 ms 97.2% triton_mm_2359 0.2873 ms 94.4% triton_mm_2360 0.2972 ms 91.3% triton_mm_2353 0.3489 ms 77.8% triton_mm_2354 0.3565 ms 76.1% triton_mm_2351 0.3656 ms 74.2% triton_mm_2355 0.3700 ms 73.3% triton_mm_2352 0.3835 ms 70.8% triton_mm_2356 0.3951 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 2.5425 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2377 0.2936 ms 100.0% mm 0.2958 ms 99.2% triton_mm_2378 0.2975 ms 98.7% triton_mm_2379 0.3036 ms 96.7% triton_mm_2370 0.3559 ms 82.5% triton_mm_2372 0.3580 ms 82.0% triton_mm_2374 0.3596 ms 81.7% triton_mm_2373 0.3872 ms 75.8% triton_mm_2375 0.3996 ms 73.5% triton_mm_2371 0.4048 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5351 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0955 ms 100.0% triton_mm_2341 0.1013 ms 94.3% triton_mm_2340 0.1086 ms 87.9% triton_mm_2339 0.1211 ms 78.9% triton_mm_2334 0.1226 ms 77.9% triton_mm_2336 0.1238 ms 77.1% triton_mm_2332 0.1239 ms 77.1% triton_mm_2335 0.1293 ms 73.8% triton_mm_2337 0.1330 ms 71.8% triton_mm_2333 0.1355 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 2.4279 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2409 0.0205 ms 100.0% triton_mm_2403 0.0208 ms 98.3% triton_mm_2405 0.0208 ms 98.3% triton_mm_2406 0.0217 ms 94.5% triton_mm_2408 0.0217 ms 94.3% triton_mm_2412 0.0227 ms 90.1% triton_mm_2413 0.0229 ms 89.5% triton_mm_2407 0.0229 ms 89.4% triton_mm_2402 0.0229 ms 89.3% triton_mm_2410 0.0231 ms 88.5% SingleProcess AUTOTUNE benchmarking takes 2.1234 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3595 ms 100.0% triton_mm_2449 0.3880 ms 92.6% triton_mm_2450 0.3956 ms 90.9% triton_mm_2451 0.4058 ms 88.6% triton_mm_2444 0.4848 ms 74.1% triton_mm_2446 0.4887 ms 73.6% triton_mm_2442 0.4897 ms 73.4% triton_mm_2445 0.5197 ms 69.2% triton_mm_2447 0.5327 ms 67.5% triton_mm_2443 0.5441 ms 66.1% SingleProcess AUTOTUNE benchmarking takes 2.5671 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0326 ms 100.0% triton_mm_2384 0.0337 ms 96.6% triton_mm_2388 0.0361 ms 90.3% triton_mm_2392 0.0467 ms 69.7% triton_mm_2396 0.0594 ms 54.9% triton_mm_2383 0.0616 ms 52.9% triton_mm_2382 0.0653 ms 49.9% triton_mm_2387 0.0705 ms 46.2% triton_mm_2391 0.0728 ms 44.7% triton_mm_2381 0.0776 ms 42.0% SingleProcess AUTOTUNE benchmarking takes 2.0795 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3856 ms 100.0% triton_mm_2430 0.3859 ms 99.9% triton_mm_2431 0.4027 ms 95.7% triton_mm_2432 0.4355 ms 88.5% triton_mm_2423 0.4709 ms 81.9% triton_mm_2425 0.4746 ms 81.2% triton_mm_2427 0.4866 ms 79.2% triton_mm_2424 0.5042 ms 76.5% triton_mm_2428 0.5423 ms 71.1% triton_mm_2426 0.5553 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5564 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3599 ms 100.0% triton_mm_2468 0.3716 ms 96.8% triton_mm_2469 0.3790 ms 95.0% triton_mm_2470 0.3904 ms 92.2% triton_mm_2463 0.4636 ms 77.6% triton_mm_2464 0.4768 ms 75.5% triton_mm_2461 0.4867 ms 73.9% triton_mm_2465 0.4880 ms 73.8% triton_mm_2462 0.5125 ms 70.2% triton_mm_2466 0.5291 ms 68.0% SingleProcess AUTOTUNE benchmarking takes 2.5600 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2487 0.3804 ms 100.0% mm 0.3912 ms 97.2% triton_mm_2488 0.3935 ms 96.7% triton_mm_2489 0.4082 ms 93.2% triton_mm_2482 0.4781 ms 79.6% triton_mm_2480 0.4863 ms 78.2% triton_mm_2484 0.4877 ms 78.0% triton_mm_2483 0.5173 ms 73.5% triton_mm_2485 0.5335 ms 71.3% triton_mm_2481 0.5421 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5626 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2718 ms 100.0% triton_mm_2544 0.2783 ms 97.6% triton_mm_2545 0.2860 ms 95.0% triton_mm_2546 0.2971 ms 91.5% triton_mm_2539 0.3480 ms 78.1% triton_mm_2540 0.3579 ms 75.9% triton_mm_2537 0.3666 ms 74.1% triton_mm_2541 0.3696 ms 73.5% triton_mm_2538 0.3827 ms 71.0% triton_mm_2542 0.3955 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 2.5399 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2563 0.2931 ms 100.0% mm 0.2960 ms 99.0% triton_mm_2564 0.2987 ms 98.1% triton_mm_2565 0.3044 ms 96.3% triton_mm_2556 0.3565 ms 82.2% triton_mm_2558 0.3566 ms 82.2% triton_mm_2560 0.3598 ms 81.5% triton_mm_2559 0.3874 ms 75.7% triton_mm_2561 0.3985 ms 73.5% triton_mm_2557 0.4053 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5414 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0955 ms 100.0% triton_mm_2527 0.1004 ms 95.1% triton_mm_2526 0.1095 ms 87.2% triton_mm_2525 0.1217 ms 78.5% triton_mm_2520 0.1229 ms 77.7% triton_mm_2522 0.1234 ms 77.4% triton_mm_2518 0.1239 ms 77.1% triton_mm_2521 0.1297 ms 73.6% triton_mm_2523 0.1326 ms 72.0% triton_mm_2519 0.1358 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.4350 seconds and 0.0000 seconds precompiling AUTOTUNE mm(7680x24, 24x1280) triton_mm_2595 0.0204 ms 100.0% triton_mm_2594 0.0205 ms 99.7% triton_mm_2598 0.0216 ms 94.7% triton_mm_2592 0.0217 ms 94.2% triton_mm_2588 0.0219 ms 93.6% triton_mm_2591 0.0220 ms 93.1% triton_mm_2596 0.0220 ms 93.0% triton_mm_2589 0.0220 ms 92.9% triton_mm_2593 0.0229 ms 89.2% triton_mm_2590 0.0235 ms 87.2% SingleProcess AUTOTUNE benchmarking takes 2.1277 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x5120) mm 0.3592 ms 100.0% triton_mm_2635 0.3886 ms 92.4% triton_mm_2636 0.3957 ms 90.8% triton_mm_2637 0.4055 ms 88.6% triton_mm_2630 0.4849 ms 74.1% triton_mm_2632 0.4891 ms 73.4% triton_mm_2628 0.4911 ms 73.1% triton_mm_2631 0.5200 ms 69.1% triton_mm_2633 0.5313 ms 67.6% triton_mm_2629 0.5444 ms 66.0% SingleProcess AUTOTUNE benchmarking takes 2.5646 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0326 ms 100.0% triton_mm_2570 0.0338 ms 96.6% triton_mm_2574 0.0360 ms 90.5% triton_mm_2578 0.0467 ms 69.8% triton_mm_2582 0.0581 ms 56.1% triton_mm_2569 0.0607 ms 53.7% triton_mm_2568 0.0654 ms 49.9% triton_mm_2573 0.0713 ms 45.8% triton_mm_2577 0.0729 ms 44.8% triton_mm_2567 0.0774 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.0887 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3851 ms 100.0% triton_mm_2616 0.3855 ms 99.9% triton_mm_2617 0.4033 ms 95.5% triton_mm_2618 0.4364 ms 88.2% triton_mm_2609 0.4715 ms 81.7% triton_mm_2611 0.4726 ms 81.5% triton_mm_2613 0.4869 ms 79.1% triton_mm_2610 0.5044 ms 76.3% triton_mm_2614 0.5410 ms 71.2% triton_mm_2612 0.5550 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5680 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x5120, 5120x1280) mm 0.3599 ms 100.0% triton_mm_2654 0.3708 ms 97.1% triton_mm_2655 0.3787 ms 95.0% triton_mm_2656 0.3908 ms 92.1% triton_mm_2649 0.4628 ms 77.8% triton_mm_2650 0.4760 ms 75.6% triton_mm_2647 0.4861 ms 74.0% triton_mm_2651 0.4884 ms 73.7% triton_mm_2648 0.5126 ms 70.2% triton_mm_2652 0.5287 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.5669 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2673 0.3801 ms 100.0% mm 0.3905 ms 97.3% triton_mm_2674 0.3935 ms 96.6% triton_mm_2675 0.4074 ms 93.3% triton_mm_2668 0.4764 ms 79.8% triton_mm_2666 0.4871 ms 78.0% triton_mm_2670 0.4885 ms 77.8% triton_mm_2669 0.5166 ms 73.6% triton_mm_2671 0.5336 ms 71.2% triton_mm_2667 0.5421 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5593 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3840, 3840x1280) mm 0.2721 ms 100.0% triton_mm_2730 0.2778 ms 97.9% triton_mm_2731 0.2861 ms 95.1% triton_mm_2732 0.2971 ms 91.6% triton_mm_2725 0.3487 ms 78.0% triton_mm_2726 0.3562 ms 76.4% triton_mm_2723 0.3656 ms 74.4% triton_mm_2727 0.3687 ms 73.8% triton_mm_2724 0.3835 ms 71.0% triton_mm_2728 0.3958 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 2.5426 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3840x6864, 6864x1280) triton_mm_2749 0.2935 ms 100.0% mm 0.2965 ms 99.0% triton_mm_2750 0.2967 ms 98.9% triton_mm_2751 0.3033 ms 96.8% triton_mm_2744 0.3565 ms 82.3% triton_mm_2742 0.3570 ms 82.2% triton_mm_2746 0.3598 ms 81.6% triton_mm_2745 0.3870 ms 75.8% triton_mm_2747 0.3996 ms 73.5% triton_mm_2743 0.4040 ms 72.6% SingleProcess AUTOTUNE benchmarking takes 2.5418 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0942 ms 100.0% triton_mm_2713 0.1003 ms 93.9% triton_mm_2712 0.1095 ms 86.1% triton_mm_2711 0.1216 ms 77.5% triton_mm_2706 0.1222 ms 77.1% triton_mm_2708 0.1234 ms 76.4% triton_mm_2704 0.1245 ms 75.7% triton_mm_2707 0.1289 ms 73.1% triton_mm_2709 0.1319 ms 71.4% triton_mm_2705 0.1353 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.4374 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_2756 0.0325 ms 99.8% triton_mm_2760 0.0348 ms 93.2% triton_mm_2764 0.0456 ms 71.1% triton_mm_2768 0.0581 ms 55.8% triton_mm_2755 0.0616 ms 52.6% triton_mm_2754 0.0662 ms 48.9% triton_mm_2759 0.0713 ms 45.4% triton_mm_2763 0.0721 ms 44.9% triton_mm_2753 0.0767 ms 42.2% SingleProcess AUTOTUNE benchmarking takes 2.1104 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2802 0.3847 ms 100.0% mm 0.3884 ms 99.1% triton_mm_2803 0.4011 ms 95.9% triton_mm_2804 0.4340 ms 88.6% triton_mm_2795 0.4680 ms 82.2% triton_mm_2797 0.4726 ms 81.4% triton_mm_2799 0.4835 ms 79.6% triton_mm_2796 0.5035 ms 76.4% triton_mm_2800 0.5403 ms 71.2% triton_mm_2798 0.5511 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5693 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_2859 0.3794 ms 100.0% mm 0.3868 ms 98.1% triton_mm_2860 0.3930 ms 96.5% triton_mm_2861 0.4070 ms 93.2% triton_mm_2854 0.4745 ms 80.0% triton_mm_2852 0.4837 ms 78.4% triton_mm_2856 0.4860 ms 78.1% triton_mm_2855 0.5137 ms 73.9% triton_mm_2857 0.5325 ms 71.2% triton_mm_2853 0.5398 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5661 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0942 ms 100.0% triton_mm_2899 0.1002 ms 94.0% triton_mm_2898 0.1085 ms 86.8% triton_mm_2897 0.1210 ms 77.8% triton_mm_2892 0.1216 ms 77.5% triton_mm_2894 0.1235 ms 76.2% triton_mm_2890 0.1244 ms 75.7% triton_mm_2893 0.1282 ms 73.5% triton_mm_2895 0.1325 ms 71.0% triton_mm_2891 0.1344 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.4408 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_2942 0.0325 ms 99.8% triton_mm_2946 0.0348 ms 93.3% triton_mm_2950 0.0456 ms 71.2% triton_mm_2954 0.0580 ms 55.9% triton_mm_2941 0.0616 ms 52.7% triton_mm_2940 0.0662 ms 49.0% triton_mm_2945 0.0705 ms 46.0% triton_mm_2949 0.0721 ms 45.0% triton_mm_2939 0.0767 ms 42.3% SingleProcess AUTOTUNE benchmarking takes 2.1031 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_2988 0.3841 ms 100.0% mm 0.3844 ms 99.9% triton_mm_2989 0.4018 ms 95.6% triton_mm_2990 0.4349 ms 88.3% triton_mm_2981 0.4693 ms 81.8% triton_mm_2983 0.4732 ms 81.2% triton_mm_2985 0.4866 ms 78.9% triton_mm_2982 0.5015 ms 76.6% triton_mm_2986 0.5416 ms 70.9% triton_mm_2984 0.5495 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5642 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3045 0.3795 ms 100.0% mm 0.3872 ms 98.0% triton_mm_3046 0.3915 ms 96.9% triton_mm_3047 0.4063 ms 93.4% triton_mm_3040 0.4747 ms 79.9% triton_mm_3038 0.4851 ms 78.2% triton_mm_3042 0.4870 ms 77.9% triton_mm_3041 0.5160 ms 73.5% triton_mm_3043 0.5321 ms 71.3% triton_mm_3039 0.5388 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.5696 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0941 ms 100.0% triton_mm_3085 0.1013 ms 92.8% triton_mm_3084 0.1084 ms 86.8% triton_mm_3083 0.1210 ms 77.8% triton_mm_3078 0.1227 ms 76.7% triton_mm_3080 0.1236 ms 76.1% triton_mm_3076 0.1237 ms 76.0% triton_mm_3079 0.1288 ms 73.1% triton_mm_3081 0.1328 ms 70.8% triton_mm_3077 0.1352 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.4463 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0325 ms 100.0% triton_mm_3128 0.0338 ms 96.2% triton_mm_3132 0.0360 ms 90.2% triton_mm_3136 0.0464 ms 70.0% triton_mm_3140 0.0586 ms 55.4% triton_mm_3127 0.0615 ms 52.8% triton_mm_3126 0.0654 ms 49.6% triton_mm_3131 0.0711 ms 45.7% triton_mm_3135 0.0729 ms 44.6% triton_mm_3125 0.0775 ms 41.9% SingleProcess AUTOTUNE benchmarking takes 2.1031 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_3174 0.3835 ms 100.0% mm 0.3876 ms 98.9% triton_mm_3175 0.4013 ms 95.6% triton_mm_3176 0.4344 ms 88.3% triton_mm_3167 0.4706 ms 81.5% triton_mm_3169 0.4725 ms 81.2% triton_mm_3171 0.4859 ms 78.9% triton_mm_3168 0.5038 ms 76.1% triton_mm_3172 0.5405 ms 70.9% triton_mm_3170 0.5493 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5682 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3231 0.3800 ms 100.0% mm 0.3885 ms 97.8% triton_mm_3232 0.3930 ms 96.7% triton_mm_3233 0.4083 ms 93.1% triton_mm_3226 0.4751 ms 80.0% triton_mm_3224 0.4842 ms 78.5% triton_mm_3228 0.4869 ms 78.0% triton_mm_3227 0.5144 ms 73.9% triton_mm_3229 0.5339 ms 71.2% triton_mm_3225 0.5413 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5693 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0324 ms 100.0% triton_mm_3314 0.0325 ms 99.6% triton_mm_3318 0.0360 ms 89.8% triton_mm_3322 0.0456 ms 71.0% triton_mm_3326 0.0594 ms 54.5% triton_mm_3313 0.0608 ms 53.2% triton_mm_3312 0.0662 ms 48.9% triton_mm_3317 0.0705 ms 45.9% triton_mm_3321 0.0721 ms 44.9% triton_mm_3311 0.0768 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.0988 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) triton_mm_3360 0.3851 ms 100.0% mm 0.3876 ms 99.3% triton_mm_3361 0.4019 ms 95.8% triton_mm_3362 0.4352 ms 88.5% triton_mm_3353 0.4683 ms 82.2% triton_mm_3355 0.4734 ms 81.3% triton_mm_3357 0.4861 ms 79.2% triton_mm_3354 0.5047 ms 76.3% triton_mm_3358 0.5409 ms 71.2% triton_mm_3356 0.5499 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.5658 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3417 0.3795 ms 100.0% triton_mm_3418 0.3915 ms 96.9% mm 0.3923 ms 96.7% triton_mm_3419 0.4062 ms 93.4% triton_mm_3412 0.4759 ms 79.7% triton_mm_3410 0.4847 ms 78.3% triton_mm_3414 0.4865 ms 78.0% triton_mm_3413 0.5158 ms 73.6% triton_mm_3415 0.5327 ms 71.2% triton_mm_3411 0.5396 ms 70.3% SingleProcess AUTOTUNE benchmarking takes 2.5570 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3603 0.3788 ms 100.0% mm 0.3885 ms 97.5% triton_mm_3604 0.3914 ms 96.8% triton_mm_3605 0.4070 ms 93.1% triton_mm_3598 0.4752 ms 79.7% triton_mm_3596 0.4834 ms 78.4% triton_mm_3600 0.4860 ms 77.9% triton_mm_3599 0.5134 ms 73.8% triton_mm_3601 0.5325 ms 71.1% triton_mm_3597 0.5406 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.5638 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0938 ms 100.0% triton_mm_3643 0.1021 ms 91.9% triton_mm_3642 0.1092 ms 85.9% triton_mm_3641 0.1217 ms 77.1% triton_mm_3636 0.1234 ms 76.0% triton_mm_3634 0.1241 ms 75.6% triton_mm_3638 0.1244 ms 75.4% triton_mm_3637 0.1301 ms 72.1% triton_mm_3639 0.1337 ms 70.2% triton_mm_3635 0.1357 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.4405 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x7680, 7680x1280) mm 0.0333 ms 100.0% triton_mm_3686 0.0344 ms 96.7% triton_mm_3690 0.0354 ms 93.9% triton_mm_3694 0.0463 ms 71.9% triton_mm_3698 0.0585 ms 56.9% triton_mm_3685 0.0622 ms 53.5% triton_mm_3684 0.0660 ms 50.4% triton_mm_3689 0.0720 ms 46.2% triton_mm_3693 0.0725 ms 45.9% triton_mm_3683 0.0781 ms 42.6% SingleProcess AUTOTUNE benchmarking takes 2.0877 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1280, 1280x5120) mm 0.3835 ms 100.0% triton_mm_3732 0.3855 ms 99.5% triton_mm_3733 0.4035 ms 95.0% triton_mm_3734 0.4345 ms 88.3% triton_mm_3725 0.4708 ms 81.5% triton_mm_3727 0.4730 ms 81.1% triton_mm_3729 0.4857 ms 79.0% triton_mm_3726 0.5037 ms 76.1% triton_mm_3730 0.5403 ms 71.0% triton_mm_3728 0.5618 ms 68.3% SingleProcess AUTOTUNE benchmarking takes 2.5588 seconds and 0.0000 seconds precompiling AUTOTUNE mm(5120x6864, 6864x1280) triton_mm_3789 0.3791 ms 100.0% mm 0.3884 ms 97.6% triton_mm_3790 0.3921 ms 96.7% triton_mm_3791 0.4065 ms 93.3% triton_mm_3784 0.4741 ms 80.0% triton_mm_3782 0.4841 ms 78.3% triton_mm_3786 0.4874 ms 77.8% triton_mm_3785 0.5149 ms 73.6% triton_mm_3787 0.5321 ms 71.2% triton_mm_3783 0.5415 ms 70.0% SingleProcess AUTOTUNE benchmarking takes 2.5576 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6864, 6864x1280) mm 0.0947 ms 100.0% triton_mm_3829 0.1009 ms 93.8% triton_mm_3828 0.1092 ms 86.7% triton_mm_3822 0.1226 ms 77.2% triton_mm_3827 0.1227 ms 77.1% triton_mm_3824 0.1238 ms 76.5% triton_mm_3820 0.1245 ms 76.0% triton_mm_3823 0.1288 ms 73.5% triton_mm_3825 0.1322 ms 71.6% triton_mm_3821 0.1349 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.4375 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x768, 768x2048) triton_mm_4662 0.0995 ms 100.0% mm 0.1009 ms 98.7% triton_mm_4663 0.1049 ms 94.9% triton_mm_4655 0.1186 ms 83.9% triton_mm_4659 0.1192 ms 83.5% triton_mm_4657 0.1193 ms 83.4% triton_mm_4664 0.1289 ms 77.2% triton_mm_4656 0.1290 ms 77.2% triton_mm_4660 0.1338 ms 74.4% triton_mm_4658 0.1539 ms 64.7% SingleProcess AUTOTUNE benchmarking takes 10.5911 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x2048) mm 0.2368 ms 100.0% triton_mm_4700 0.2376 ms 99.6% triton_mm_4701 0.2468 ms 95.9% triton_mm_4702 0.2622 ms 90.3% triton_mm_4695 0.2960 ms 80.0% triton_mm_4693 0.2980 ms 79.5% triton_mm_4697 0.3036 ms 78.0% triton_mm_4696 0.3225 ms 73.4% triton_mm_4694 0.3299 ms 71.8% triton_mm_4698 0.3373 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 10.2844 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x2048) mm 0.2420 ms 100.0% triton_mm_4719 0.2806 ms 86.2% triton_mm_4720 0.2877 ms 84.1% triton_mm_4721 0.2928 ms 82.6% triton_mm_4716 0.3138 ms 77.1% triton_mm_4712 0.3149 ms 76.8% triton_mm_4715 0.3223 ms 75.1% triton_mm_4714 0.3243 ms 74.6% triton_mm_4717 0.3301 ms 73.3% triton_mm_4713 0.3357 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 9.7848 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1280) mm 0.1647 ms 100.0% triton_mm_4757 0.1790 ms 92.0% triton_mm_4752 0.1808 ms 91.1% triton_mm_4754 0.1822 ms 90.4% triton_mm_4750 0.1831 ms 90.0% triton_mm_4758 0.1884 ms 87.4% triton_mm_4753 0.1917 ms 85.9% triton_mm_4755 0.2042 ms 80.7% triton_mm_4751 0.2070 ms 79.6% triton_mm_4759 0.2314 ms 71.2% SingleProcess AUTOTUNE benchmarking takes 9.7140 seconds and 0.0000 seconds precompiling AUTOTUNE mm(768x6864, 6864x2048) mm 0.0956 ms 100.0% triton_mm_4683 0.1001 ms 95.5% triton_mm_4682 0.1096 ms 87.2% triton_mm_4676 0.1169 ms 81.8% triton_mm_4674 0.1214 ms 78.8% triton_mm_4681 0.1220 ms 78.4% triton_mm_4678 0.1241 ms 77.0% triton_mm_4677 0.1276 ms 74.9% triton_mm_4679 0.1327 ms 72.1% triton_mm_4675 0.1342 ms 71.3% SingleProcess AUTOTUNE benchmarking takes 9.6180 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1280) mm 0.1481 ms 100.0% triton_mm_4738 0.1518 ms 97.5% triton_mm_4739 0.1561 ms 94.9% triton_mm_4740 0.1634 ms 90.6% triton_mm_4733 0.1892 ms 78.3% triton_mm_4735 0.1938 ms 76.4% triton_mm_4731 0.1959 ms 75.6% triton_mm_4734 0.2060 ms 71.9% triton_mm_4732 0.2065 ms 71.7% triton_mm_4736 0.2112 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 9.9915 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1280x6840, 6840x32) mm 0.0313 ms 100.0% triton_mm_5880 0.0442 ms 70.7% triton_mm_5887 0.0442 ms 70.7% triton_mm_5878 0.0550 ms 56.8% triton_mm_5879 0.0644 ms 48.5% triton_mm_5886 0.0658 ms 47.5% triton_mm_5883 0.0677 ms 46.2% triton_mm_5877 0.0683 ms 45.8% triton_mm_5892 0.0684 ms 45.7% triton_mm_5891 0.0756 ms 41.4% SingleProcess AUTOTUNE benchmarking takes 6.8006 seconds and 0.0000 seconds precompiling /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): /home/user/VAR/trainer.py:170: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(enabled=False): Validation Progress: 0%| | 0/44 [00:00