/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 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_230851-v02prmh2 wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run different-paper-533 wandb: View project at https://wandb.ai/kaiqiu/VAR wandb: View run at https://wandb.ai/kaiqiu/VAR/runs/v02prmh2 /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, 28x1024) triton_mm_7 0.0244 ms 100.0% triton_mm_8 0.0257 ms 95.1% triton_mm_6 0.0257 ms 95.0% triton_mm_11 0.0259 ms 94.3% triton_mm_4 0.0262 ms 93.3% triton_mm_12 0.0267 ms 91.6% triton_mm_9 0.0268 ms 91.2% triton_mm_14 0.0271 ms 90.1% triton_mm_16 0.0272 ms 90.0% triton_mm_13 0.0272 ms 89.8% SingleProcess AUTOTUNE benchmarking takes 2.0720 seconds and 0.0093 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_33 0.0199 ms 100.0% triton_mm_29 0.0212 ms 94.1% triton_mm_25 0.0213 ms 93.5% triton_mm_21 0.0218 ms 91.2% triton_mm_24 0.0222 ms 89.5% triton_mm_18 0.0223 ms 89.4% triton_mm_19 0.0226 ms 88.2% triton_mm_20 0.0227 ms 87.9% triton_mm_28 0.0232 ms 85.7% bias_addmm 0.0236 ms 84.3% SingleProcess AUTOTUNE benchmarking takes 2.1823 seconds and 0.0008 seconds precompiling AUTOTUNE addmm(6864x3072, 6864x1024, 1024x3072) triton_mm_50 0.1900 ms 100.0% triton_mm_51 0.1953 ms 97.3% bias_addmm 0.2204 ms 86.2% triton_mm_45 0.2313 ms 82.1% triton_mm_43 0.2344 ms 81.0% triton_mm_47 0.2356 ms 80.6% triton_mm_52 0.2419 ms 78.5% addmm 0.2533 ms 75.0% triton_mm_44 0.2601 ms 73.0% triton_mm_48 0.2667 ms 71.2% SingleProcess AUTOTUNE benchmarking takes 2.6145 seconds and 0.0274 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x1024, 1024x1024) bias_addmm 0.0678 ms 100.0% triton_mm_69 0.0703 ms 96.5% triton_mm_70 0.0713 ms 95.0% triton_mm_62 0.0836 ms 81.1% triton_mm_66 0.0846 ms 80.1% triton_mm_64 0.0858 ms 79.0% triton_mm_71 0.0871 ms 77.8% triton_mm_63 0.0933 ms 72.6% addmm 0.0939 ms 72.2% triton_mm_67 0.0961 ms 70.5% SingleProcess AUTOTUNE benchmarking takes 2.5075 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x4096, 6864x1024, 1024x4096) triton_mm_88 0.2525 ms 100.0% triton_mm_89 0.2581 ms 97.8% bias_addmm 0.2912 ms 86.7% triton_mm_83 0.3082 ms 81.9% triton_mm_85 0.3124 ms 80.8% triton_mm_81 0.3132 ms 80.6% triton_mm_90 0.3203 ms 78.8% triton_mm_82 0.3473 ms 72.7% triton_mm_86 0.3549 ms 71.1% triton_mm_84 0.3918 ms 64.4% SingleProcess AUTOTUNE benchmarking takes 2.6893 seconds and 0.0439 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x4096, 4096x1024) triton_mm_108 0.2322 ms 100.0% triton_mm_107 0.2355 ms 98.6% bias_addmm 0.2448 ms 94.8% triton_mm_109 0.2493 ms 93.1% addmm 0.2613 ms 88.9% triton_mm_104 0.3001 ms 77.4% triton_mm_102 0.3042 ms 76.3% triton_mm_103 0.3120 ms 74.4% triton_mm_100 0.3123 ms 74.3% triton_mm_105 0.3376 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.6528 seconds and 0.0008 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_122 0.0197 ms 100.0% triton_mm_126 0.0199 ms 99.4% triton_mm_118 0.0210 ms 94.2% triton_mm_117 0.0211 ms 93.5% triton_mm_114 0.0217 ms 91.0% triton_mm_111 0.0221 ms 89.2% bias_addmm 0.0225 ms 87.6% triton_mm_112 0.0226 ms 87.4% triton_mm_121 0.0231 ms 85.6% triton_mm_113 0.0236 ms 83.6% SingleProcess AUTOTUNE benchmarking takes 2.2073 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_215 0.0198 ms 100.0% triton_mm_219 0.0210 ms 94.1% triton_mm_207 0.0210 ms 93.9% triton_mm_211 0.0211 ms 93.6% triton_mm_210 0.0220 ms 89.8% triton_mm_214 0.0221 ms 89.5% triton_mm_204 0.0222 ms 89.1% triton_mm_206 0.0226 ms 87.3% triton_mm_205 0.0236 ms 83.9% bias_addmm 0.0244 ms 81.1% SingleProcess AUTOTUNE benchmarking takes 2.1975 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1024, 1024x2048) triton_mm_591 0.1292 ms 100.0% triton_mm_592 0.1337 ms 96.6% bias_addmm 0.1516 ms 85.2% triton_mm_586 0.1583 ms 81.6% triton_mm_588 0.1606 ms 80.4% triton_mm_584 0.1612 ms 80.1% triton_mm_593 0.1640 ms 78.8% triton_mm_585 0.1772 ms 72.9% triton_mm_589 0.1804 ms 71.6% addmm 0.1980 ms 65.2% SingleProcess AUTOTUNE benchmarking takes 2.5896 seconds and 0.0008 seconds precompiling AUTOTUNE mm(24x1024, 1024x2048) triton_mm_1566 0.0128 ms 100.0% triton_mm_1570 0.0134 ms 95.9% triton_mm_1574 0.0143 ms 89.7% triton_mm_1563 0.0166 ms 77.3% triton_mm_1578 0.0167 ms 76.9% triton_mm_1569 0.0168 ms 76.5% triton_mm_1564 0.0170 ms 75.4% triton_mm_1565 0.0175 ms 73.4% mm 0.0179 ms 71.9% triton_mm_1573 0.0181 ms 70.8% SingleProcess AUTOTUNE benchmarking takes 2.1023 seconds and 0.0018 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1024, 1024x32768) bias_addmm 1.9752 ms 100.0% triton_mm_1595 2.0879 ms 94.6% triton_mm_1596 2.0899 ms 94.5% triton_mm_1590 2.5038 ms 78.9% triton_mm_1597 2.5376 ms 77.8% triton_mm_1592 2.5784 ms 76.6% addmm 2.6179 ms 75.4% triton_mm_1588 2.6416 ms 74.8% triton_mm_1593 2.9001 ms 68.1% triton_mm_1589 2.9123 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 3.0975 seconds and 0.0011 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, 6864x1024) triton_mm_1633 1.8238 ms 100.0% triton_mm_1634 1.8733 ms 97.4% mm 1.9565 ms 93.2% triton_mm_1635 1.9793 ms 92.1% triton_mm_1628 2.3611 ms 77.2% triton_mm_1626 2.3688 ms 77.0% triton_mm_1630 2.4771 ms 73.6% triton_mm_1629 2.5181 ms 72.4% triton_mm_1631 2.5855 ms 70.5% triton_mm_1627 2.6213 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.9206 seconds and 0.0259 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_1686 0.2435 ms 100.0% mm 0.2471 ms 98.5% triton_mm_1687 0.2590 ms 94.0% triton_mm_1679 0.2955 ms 82.4% triton_mm_1681 0.2956 ms 82.4% triton_mm_1683 0.3002 ms 81.1% triton_mm_1688 0.3061 ms 79.6% triton_mm_1680 0.3269 ms 74.5% triton_mm_1684 0.3337 ms 73.0% triton_mm_1682 0.3584 ms 68.0% SingleProcess AUTOTUNE benchmarking takes 2.5349 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2289 ms 100.0% triton_mm_1724 0.2316 ms 98.9% triton_mm_1725 0.2395 ms 95.6% triton_mm_1726 0.2453 ms 93.3% triton_mm_1719 0.2890 ms 79.2% triton_mm_1721 0.2928 ms 78.2% triton_mm_1717 0.2966 ms 77.2% triton_mm_1720 0.3035 ms 75.4% triton_mm_1718 0.3200 ms 71.5% triton_mm_1722 0.3305 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5333 seconds and 0.0009 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2416 ms 100.0% triton_mm_1705 0.2775 ms 87.0% triton_mm_1706 0.2858 ms 84.5% triton_mm_1707 0.2886 ms 83.7% triton_mm_1700 0.2969 ms 81.4% triton_mm_1702 0.3110 ms 77.7% triton_mm_1698 0.3139 ms 77.0% triton_mm_1701 0.3160 ms 76.5% triton_mm_1703 0.3269 ms 73.9% triton_mm_1699 0.3348 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 2.5342 seconds and 0.0009 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2400 ms 100.0% triton_mm_1743 0.2778 ms 86.4% triton_mm_1744 0.2867 ms 83.7% triton_mm_1745 0.2904 ms 82.7% triton_mm_1738 0.2960 ms 81.1% triton_mm_1736 0.3129 ms 76.7% triton_mm_1740 0.3159 ms 76.0% triton_mm_1739 0.3159 ms 76.0% triton_mm_1741 0.3291 ms 72.9% triton_mm_1737 0.3321 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5312 seconds and 0.0009 seconds precompiling AUTOTUNE mm(2048x24, 24x1024) triton_mm_1660 0.0109 ms 100.0% triton_mm_1665 0.0111 ms 98.0% triton_mm_1658 0.0111 ms 97.7% triton_mm_1664 0.0113 ms 96.6% triton_mm_1661 0.0117 ms 92.9% triton_mm_1666 0.0120 ms 90.9% triton_mm_1659 0.0120 ms 90.7% triton_mm_1656 0.0122 ms 89.2% triton_mm_1663 0.0122 ms 89.2% triton_mm_1669 0.0124 ms 87.9% SingleProcess AUTOTUNE benchmarking takes 2.1420 seconds and 0.0008 seconds precompiling AUTOTUNE mm(24x2048, 2048x1024) triton_mm_1640 0.0149 ms 100.0% mm 0.0165 ms 90.3% triton_mm_1644 0.0191 ms 78.4% triton_mm_1652 0.0221 ms 67.6% triton_mm_1639 0.0222 ms 67.3% triton_mm_1638 0.0227 ms 65.9% triton_mm_1647 0.0245 ms 61.0% triton_mm_1643 0.0247 ms 60.6% triton_mm_1648 0.0248 ms 60.3% triton_mm_1637 0.0259 ms 57.8% SingleProcess AUTOTUNE benchmarking takes 2.1292 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1024) mm 1.7243 ms 100.0% triton_mm_1614 1.8709 ms 92.2% triton_mm_1615 1.8839 ms 91.5% triton_mm_1616 1.9424 ms 88.8% triton_mm_1609 2.4147 ms 71.4% triton_mm_1610 2.4867 ms 69.3% triton_mm_1607 2.5132 ms 68.6% triton_mm_1608 2.6183 ms 65.9% triton_mm_1611 2.6390 ms 65.3% triton_mm_1612 2.6745 ms 64.5% SingleProcess AUTOTUNE benchmarking takes 2.9189 seconds and 0.0009 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) triton_mm_1819 0.1860 ms 100.0% triton_mm_1820 0.1913 ms 97.2% triton_mm_1821 0.1951 ms 95.3% mm 0.2084 ms 89.2% triton_mm_1814 0.2378 ms 78.2% triton_mm_1815 0.2491 ms 74.7% triton_mm_1817 0.2588 ms 71.9% triton_mm_1813 0.2617 ms 71.1% triton_mm_1812 0.2688 ms 69.2% triton_mm_1816 0.2702 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.4896 seconds and 0.0008 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0760 ms 100.0% triton_mm_1783 0.0991 ms 76.6% triton_mm_1776 0.1044 ms 72.8% triton_mm_1782 0.1085 ms 70.0% triton_mm_1774 0.1142 ms 66.5% triton_mm_1773 0.1173 ms 64.8% triton_mm_1778 0.1192 ms 63.8% triton_mm_1781 0.1199 ms 63.4% triton_mm_1777 0.1263 ms 60.2% triton_mm_1772 0.1304 ms 58.3% SingleProcess AUTOTUNE benchmarking takes 2.4267 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0665 ms 100.0% triton_mm_1762 0.0669 ms 99.5% triton_mm_1763 0.0718 ms 92.7% triton_mm_1757 0.0813 ms 81.8% triton_mm_1759 0.0832 ms 80.0% triton_mm_1755 0.0834 ms 79.8% triton_mm_1764 0.0840 ms 79.2% triton_mm_1756 0.0884 ms 75.3% triton_mm_1760 0.0890 ms 74.8% triton_mm_1758 0.1019 ms 65.3% SingleProcess AUTOTUNE benchmarking takes 2.4328 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1717 ms 100.0% triton_mm_1800 0.1751 ms 98.1% triton_mm_1801 0.1813 ms 94.7% triton_mm_1802 0.1866 ms 92.0% triton_mm_1795 0.2193 ms 78.3% triton_mm_1793 0.2247 ms 76.4% triton_mm_1797 0.2327 ms 73.8% triton_mm_1796 0.2329 ms 73.7% triton_mm_1794 0.2420 ms 71.0% triton_mm_1798 0.2484 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5106 seconds and 0.0011 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_1872 0.2434 ms 100.0% triton_mm_1873 0.2586 ms 94.1% mm 0.2818 ms 86.4% triton_mm_1865 0.2949 ms 82.5% triton_mm_1867 0.2955 ms 82.4% triton_mm_1869 0.3015 ms 80.7% triton_mm_1874 0.3060 ms 79.6% triton_mm_1866 0.3266 ms 74.5% triton_mm_1870 0.3356 ms 72.5% triton_mm_1868 0.3575 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.5238 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2267 ms 100.0% triton_mm_1910 0.2302 ms 98.5% triton_mm_1911 0.2380 ms 95.3% triton_mm_1912 0.2457 ms 92.3% triton_mm_1905 0.2890 ms 78.4% triton_mm_1907 0.2930 ms 77.4% triton_mm_1903 0.2972 ms 76.3% triton_mm_1906 0.3031 ms 74.8% triton_mm_1904 0.3215 ms 70.5% triton_mm_1908 0.3306 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5293 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_1851 0.0163 ms 100.0% triton_mm_1847 0.0163 ms 99.6% triton_mm_1850 0.0168 ms 96.9% triton_mm_1844 0.0169 ms 96.4% triton_mm_1849 0.0170 ms 95.7% triton_mm_1846 0.0170 ms 95.4% triton_mm_1854 0.0171 ms 95.3% triton_mm_1848 0.0172 ms 94.7% triton_mm_1845 0.0175 ms 93.0% triton_mm_1853 0.0178 ms 91.4% SingleProcess AUTOTUNE benchmarking takes 3.0861 seconds and 0.0008 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2392 ms 100.0% triton_mm_1891 0.2785 ms 85.9% triton_mm_1892 0.2874 ms 83.2% triton_mm_1893 0.2894 ms 82.7% triton_mm_1886 0.2988 ms 80.0% triton_mm_1884 0.3136 ms 76.3% triton_mm_1888 0.3151 ms 75.9% triton_mm_1887 0.3167 ms 75.5% triton_mm_1889 0.3269 ms 73.2% triton_mm_1885 0.3351 ms 71.4% SingleProcess AUTOTUNE benchmarking takes 2.5449 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2411 ms 100.0% triton_mm_1929 0.2782 ms 86.7% triton_mm_1930 0.2872 ms 83.9% triton_mm_1931 0.2892 ms 83.4% triton_mm_1924 0.2970 ms 81.2% triton_mm_1922 0.3139 ms 76.8% triton_mm_1926 0.3159 ms 76.3% triton_mm_1925 0.3166 ms 76.1% triton_mm_1927 0.3288 ms 73.3% triton_mm_1923 0.3339 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5440 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_1826 0.0253 ms 100.0% mm 0.0262 ms 96.5% triton_mm_1830 0.0310 ms 81.6% triton_mm_1834 0.0394 ms 64.2% triton_mm_1825 0.0485 ms 52.1% triton_mm_1838 0.0495 ms 51.1% triton_mm_1824 0.0533 ms 47.5% triton_mm_1829 0.0569 ms 44.5% triton_mm_1833 0.0582 ms 43.5% triton_mm_1823 0.0614 ms 41.2% SingleProcess AUTOTUNE benchmarking takes 2.1035 seconds and 0.0008 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1747 ms 100.0% triton_mm_2005 0.1871 ms 93.4% triton_mm_2006 0.1924 ms 90.8% triton_mm_2007 0.1961 ms 89.1% triton_mm_2000 0.2385 ms 73.2% triton_mm_2001 0.2500 ms 69.9% triton_mm_2003 0.2594 ms 67.3% triton_mm_1999 0.2631 ms 66.4% triton_mm_1998 0.2704 ms 64.6% triton_mm_2002 0.2717 ms 64.3% SingleProcess AUTOTUNE benchmarking takes 2.5031 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0761 ms 100.0% triton_mm_1969 0.0990 ms 76.8% triton_mm_1962 0.1033 ms 73.7% triton_mm_1968 0.1075 ms 70.8% triton_mm_1960 0.1135 ms 67.0% triton_mm_1959 0.1174 ms 64.8% triton_mm_1967 0.1192 ms 63.8% triton_mm_1964 0.1198 ms 63.5% triton_mm_1963 0.1253 ms 60.7% triton_mm_1965 0.1300 ms 58.5% SingleProcess AUTOTUNE benchmarking takes 2.4195 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0665 ms 100.0% triton_mm_1948 0.0678 ms 98.1% triton_mm_1949 0.0716 ms 92.9% triton_mm_1943 0.0820 ms 81.1% triton_mm_1950 0.0831 ms 80.0% triton_mm_1941 0.0832 ms 79.9% triton_mm_1945 0.0833 ms 79.8% triton_mm_1942 0.0874 ms 76.1% triton_mm_1946 0.0890 ms 74.7% triton_mm_1944 0.1010 ms 65.9% SingleProcess AUTOTUNE benchmarking takes 2.4137 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1724 ms 100.0% triton_mm_1986 0.1744 ms 98.8% triton_mm_1987 0.1818 ms 94.8% triton_mm_1988 0.1863 ms 92.5% triton_mm_1981 0.2185 ms 78.9% triton_mm_1979 0.2250 ms 76.6% triton_mm_1983 0.2325 ms 74.1% triton_mm_1982 0.2329 ms 74.0% triton_mm_1980 0.2418 ms 71.3% triton_mm_1984 0.2473 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.5058 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_2058 0.2432 ms 100.0% mm 0.2448 ms 99.3% triton_mm_2059 0.2579 ms 94.3% triton_mm_2051 0.2959 ms 82.2% triton_mm_2053 0.2964 ms 82.1% triton_mm_2055 0.3023 ms 80.5% triton_mm_2060 0.3060 ms 79.5% triton_mm_2052 0.3280 ms 74.1% triton_mm_2056 0.3344 ms 72.7% triton_mm_2054 0.3575 ms 68.0% SingleProcess AUTOTUNE benchmarking takes 2.5210 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2267 ms 100.0% triton_mm_2096 0.2308 ms 98.2% triton_mm_2097 0.2380 ms 95.2% triton_mm_2098 0.2456 ms 92.3% triton_mm_2091 0.2888 ms 78.5% triton_mm_2093 0.2923 ms 77.6% triton_mm_2089 0.2974 ms 76.2% triton_mm_2092 0.3028 ms 74.9% triton_mm_2090 0.3212 ms 70.6% triton_mm_2094 0.3306 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5277 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2034 0.0163 ms 100.0% triton_mm_2033 0.0163 ms 99.6% triton_mm_2031 0.0164 ms 99.2% triton_mm_2036 0.0168 ms 96.9% triton_mm_2030 0.0169 ms 96.4% triton_mm_2038 0.0170 ms 95.8% triton_mm_2032 0.0171 ms 95.3% triton_mm_2037 0.0173 ms 93.7% triton_mm_2040 0.0179 ms 90.9% triton_mm_2035 0.0181 ms 89.9% SingleProcess AUTOTUNE benchmarking takes 2.1452 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2396 ms 100.0% triton_mm_2077 0.2773 ms 86.4% triton_mm_2078 0.2855 ms 83.9% triton_mm_2079 0.2886 ms 83.0% triton_mm_2072 0.2968 ms 80.7% triton_mm_2070 0.3130 ms 76.5% triton_mm_2074 0.3137 ms 76.4% triton_mm_2073 0.3170 ms 75.6% triton_mm_2075 0.3266 ms 73.4% triton_mm_2071 0.3343 ms 71.7% SingleProcess AUTOTUNE benchmarking takes 2.5285 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2398 ms 100.0% triton_mm_2115 0.2772 ms 86.5% triton_mm_2116 0.2868 ms 83.6% triton_mm_2117 0.2892 ms 82.9% triton_mm_2110 0.2940 ms 81.6% triton_mm_2108 0.3137 ms 76.4% triton_mm_2111 0.3144 ms 76.3% triton_mm_2112 0.3146 ms 76.2% triton_mm_2113 0.3295 ms 72.8% triton_mm_2109 0.3327 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 2.5301 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2012 0.0252 ms 100.0% mm 0.0263 ms 96.1% triton_mm_2016 0.0321 ms 78.6% triton_mm_2020 0.0380 ms 66.4% triton_mm_2024 0.0482 ms 52.4% triton_mm_2011 0.0485 ms 52.0% triton_mm_2010 0.0524 ms 48.1% triton_mm_2015 0.0568 ms 44.4% triton_mm_2019 0.0590 ms 42.8% triton_mm_2009 0.0622 ms 40.6% SingleProcess AUTOTUNE benchmarking takes 2.0929 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1747 ms 100.0% triton_mm_2191 0.1860 ms 93.9% triton_mm_2192 0.1918 ms 91.1% triton_mm_2193 0.1961 ms 89.1% triton_mm_2186 0.2387 ms 73.2% triton_mm_2187 0.2501 ms 69.8% triton_mm_2189 0.2582 ms 67.6% triton_mm_2185 0.2619 ms 66.7% triton_mm_2184 0.2685 ms 65.0% triton_mm_2188 0.2701 ms 64.7% SingleProcess AUTOTUNE benchmarking takes 2.5125 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0751 ms 100.0% triton_mm_2155 0.0980 ms 76.6% triton_mm_2148 0.1045 ms 71.8% triton_mm_2154 0.1075 ms 69.8% triton_mm_2146 0.1143 ms 65.7% triton_mm_2145 0.1168 ms 64.3% triton_mm_2153 0.1193 ms 62.9% triton_mm_2150 0.1200 ms 62.6% triton_mm_2149 0.1253 ms 59.9% triton_mm_2144 0.1294 ms 58.0% SingleProcess AUTOTUNE benchmarking takes 2.4262 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) triton_mm_2134 0.0669 ms 100.0% mm 0.0676 ms 98.9% triton_mm_2135 0.0719 ms 93.1% triton_mm_2129 0.0820 ms 81.5% triton_mm_2127 0.0824 ms 81.2% triton_mm_2131 0.0825 ms 81.0% triton_mm_2136 0.0840 ms 79.6% triton_mm_2128 0.0874 ms 76.5% triton_mm_2132 0.0899 ms 74.4% triton_mm_2130 0.1009 ms 66.3% SingleProcess AUTOTUNE benchmarking takes 2.4246 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1704 ms 100.0% triton_mm_2172 0.1752 ms 97.3% triton_mm_2173 0.1809 ms 94.2% triton_mm_2174 0.1857 ms 91.7% triton_mm_2167 0.2180 ms 78.1% triton_mm_2165 0.2249 ms 75.8% triton_mm_2169 0.2316 ms 73.6% triton_mm_2168 0.2319 ms 73.5% triton_mm_2166 0.2413 ms 70.6% triton_mm_2170 0.2467 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5048 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2414 ms 100.0% triton_mm_2263 0.2760 ms 87.5% triton_mm_2264 0.2841 ms 85.0% triton_mm_2265 0.2872 ms 84.0% triton_mm_2258 0.2963 ms 81.5% triton_mm_2260 0.3110 ms 77.6% triton_mm_2256 0.3135 ms 77.0% triton_mm_2259 0.3152 ms 76.6% triton_mm_2261 0.3263 ms 74.0% triton_mm_2257 0.3341 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5356 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2408 ms 100.0% triton_mm_2301 0.2763 ms 87.2% triton_mm_2302 0.2851 ms 84.5% triton_mm_2303 0.2882 ms 83.6% triton_mm_2296 0.2955 ms 81.5% triton_mm_2298 0.3137 ms 76.8% triton_mm_2294 0.3143 ms 76.6% triton_mm_2297 0.3149 ms 76.5% triton_mm_2299 0.3274 ms 73.6% triton_mm_2295 0.3321 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5385 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2198 0.0252 ms 100.0% mm 0.0262 ms 96.1% triton_mm_2202 0.0310 ms 81.2% triton_mm_2206 0.0380 ms 66.2% triton_mm_2210 0.0482 ms 52.2% triton_mm_2197 0.0485 ms 51.9% triton_mm_2196 0.0524 ms 48.0% triton_mm_2201 0.0561 ms 44.9% triton_mm_2205 0.0583 ms 43.2% triton_mm_2195 0.0621 ms 40.5% SingleProcess AUTOTUNE benchmarking takes 2.0972 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1752 ms 100.0% triton_mm_2377 0.1859 ms 94.3% triton_mm_2378 0.1914 ms 91.5% triton_mm_2379 0.1958 ms 89.5% triton_mm_2372 0.2384 ms 73.5% triton_mm_2373 0.2495 ms 70.2% triton_mm_2375 0.2579 ms 68.0% triton_mm_2371 0.2628 ms 66.7% triton_mm_2370 0.2697 ms 65.0% triton_mm_2374 0.2702 ms 64.9% SingleProcess AUTOTUNE benchmarking takes 2.5118 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0750 ms 100.0% triton_mm_2341 0.0991 ms 75.7% triton_mm_2334 0.1042 ms 72.0% triton_mm_2340 0.1074 ms 69.9% triton_mm_2332 0.1142 ms 65.7% triton_mm_2331 0.1167 ms 64.3% triton_mm_2339 0.1192 ms 62.9% triton_mm_2336 0.1198 ms 62.6% triton_mm_2335 0.1253 ms 59.9% triton_mm_2330 0.1294 ms 58.0% SingleProcess AUTOTUNE benchmarking takes 2.4166 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0665 ms 100.0% triton_mm_2320 0.0669 ms 99.4% triton_mm_2321 0.0708 ms 93.9% triton_mm_2315 0.0812 ms 81.9% triton_mm_2317 0.0825 ms 80.6% triton_mm_2313 0.0831 ms 80.0% triton_mm_2322 0.0832 ms 80.0% triton_mm_2314 0.0882 ms 75.4% triton_mm_2318 0.0899 ms 74.0% triton_mm_2316 0.1018 ms 65.3% SingleProcess AUTOTUNE benchmarking takes 2.4068 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1719 ms 100.0% triton_mm_2358 0.1742 ms 98.7% triton_mm_2359 0.1819 ms 94.5% triton_mm_2360 0.1872 ms 91.9% triton_mm_2353 0.2188 ms 78.6% triton_mm_2351 0.2254 ms 76.3% triton_mm_2355 0.2312 ms 74.4% triton_mm_2354 0.2318 ms 74.2% triton_mm_2352 0.2416 ms 71.2% triton_mm_2356 0.2469 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5056 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_2430 0.2430 ms 100.0% mm 0.2451 ms 99.1% triton_mm_2431 0.2579 ms 94.2% triton_mm_2425 0.2953 ms 82.3% triton_mm_2423 0.2967 ms 81.9% triton_mm_2427 0.3003 ms 80.9% triton_mm_2432 0.3051 ms 79.6% triton_mm_2424 0.3273 ms 74.2% triton_mm_2428 0.3340 ms 72.7% triton_mm_2426 0.3572 ms 68.0% SingleProcess AUTOTUNE benchmarking takes 2.5321 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2267 ms 100.0% triton_mm_2468 0.2311 ms 98.1% triton_mm_2469 0.2388 ms 94.9% triton_mm_2470 0.2446 ms 92.7% triton_mm_2463 0.2879 ms 78.7% triton_mm_2465 0.2919 ms 77.7% triton_mm_2461 0.2963 ms 76.5% triton_mm_2464 0.3027 ms 74.9% triton_mm_2462 0.3201 ms 70.8% triton_mm_2466 0.3309 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.5322 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2406 0.0162 ms 100.0% triton_mm_2408 0.0162 ms 100.0% triton_mm_2409 0.0163 ms 99.8% triton_mm_2402 0.0169 ms 96.2% triton_mm_2403 0.0172 ms 94.1% triton_mm_2405 0.0173 ms 93.9% triton_mm_2413 0.0178 ms 91.2% triton_mm_2412 0.0179 ms 90.7% triton_mm_2407 0.0180 ms 89.9% triton_mm_2404 0.0181 ms 89.7% SingleProcess AUTOTUNE benchmarking takes 2.1496 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2402 ms 100.0% triton_mm_2449 0.2779 ms 86.5% triton_mm_2450 0.2868 ms 83.8% triton_mm_2451 0.2884 ms 83.3% triton_mm_2444 0.2973 ms 80.8% triton_mm_2446 0.3127 ms 76.8% triton_mm_2442 0.3134 ms 76.7% triton_mm_2445 0.3170 ms 75.8% triton_mm_2447 0.3263 ms 73.6% triton_mm_2443 0.3348 ms 71.8% SingleProcess AUTOTUNE benchmarking takes 2.5351 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2405 ms 100.0% triton_mm_2487 0.2773 ms 86.7% triton_mm_2488 0.2868 ms 83.9% triton_mm_2489 0.2897 ms 83.0% triton_mm_2482 0.2947 ms 81.6% triton_mm_2480 0.3131 ms 76.8% triton_mm_2483 0.3148 ms 76.4% triton_mm_2484 0.3156 ms 76.2% triton_mm_2485 0.3290 ms 73.1% triton_mm_2481 0.3327 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5302 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) mm 0.0262 ms 100.0% triton_mm_2384 0.0263 ms 99.5% triton_mm_2388 0.0310 ms 84.5% triton_mm_2392 0.0380 ms 68.9% triton_mm_2383 0.0485 ms 54.0% triton_mm_2396 0.0493 ms 53.1% triton_mm_2382 0.0524 ms 50.0% triton_mm_2387 0.0569 ms 46.0% triton_mm_2391 0.0590 ms 44.4% triton_mm_2381 0.0622 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.0968 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0658 ms 100.0% triton_mm_2506 0.0660 ms 99.7% triton_mm_2507 0.0703 ms 93.6% triton_mm_2501 0.0808 ms 81.4% triton_mm_2499 0.0821 ms 80.2% triton_mm_2503 0.0826 ms 79.7% triton_mm_2508 0.0831 ms 79.2% triton_mm_2500 0.0870 ms 75.7% triton_mm_2504 0.0886 ms 74.3% triton_mm_2502 0.1017 ms 64.7% SingleProcess AUTOTUNE benchmarking takes 2.4199 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1713 ms 100.0% triton_mm_2544 0.1736 ms 98.7% triton_mm_2545 0.1811 ms 94.6% triton_mm_2546 0.1861 ms 92.1% triton_mm_2539 0.2178 ms 78.7% triton_mm_2537 0.2238 ms 76.6% triton_mm_2541 0.2296 ms 74.6% triton_mm_2540 0.2321 ms 73.8% triton_mm_2538 0.2407 ms 71.2% triton_mm_2542 0.2474 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5074 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2287 ms 100.0% triton_mm_2654 0.2300 ms 99.4% triton_mm_2655 0.2379 ms 96.2% triton_mm_2656 0.2456 ms 93.1% triton_mm_2649 0.2897 ms 79.0% triton_mm_2651 0.2916 ms 78.4% triton_mm_2647 0.2968 ms 77.0% triton_mm_2650 0.3016 ms 75.8% triton_mm_2648 0.3207 ms 71.3% triton_mm_2652 0.3297 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5379 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2592 0.0162 ms 100.0% triton_mm_2594 0.0162 ms 100.0% triton_mm_2588 0.0168 ms 96.4% triton_mm_2596 0.0170 ms 95.7% triton_mm_2598 0.0170 ms 95.3% triton_mm_2590 0.0171 ms 95.1% triton_mm_2591 0.0174 ms 93.2% triton_mm_2589 0.0174 ms 93.0% triton_mm_2595 0.0175 ms 92.7% triton_mm_2593 0.0180 ms 90.2% SingleProcess AUTOTUNE benchmarking takes 2.1560 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2391 ms 100.0% triton_mm_2635 0.2774 ms 86.2% triton_mm_2636 0.2868 ms 83.4% triton_mm_2637 0.2891 ms 82.7% triton_mm_2630 0.2965 ms 80.6% triton_mm_2632 0.3114 ms 76.8% triton_mm_2628 0.3135 ms 76.3% triton_mm_2631 0.3166 ms 75.5% triton_mm_2633 0.3268 ms 73.2% triton_mm_2629 0.3357 ms 71.2% SingleProcess AUTOTUNE benchmarking takes 2.5366 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2404 ms 100.0% triton_mm_2673 0.2776 ms 86.6% triton_mm_2674 0.2872 ms 83.7% triton_mm_2675 0.2909 ms 82.6% triton_mm_2668 0.2949 ms 81.5% triton_mm_2666 0.3130 ms 76.8% triton_mm_2669 0.3155 ms 76.2% triton_mm_2670 0.3158 ms 76.1% triton_mm_2671 0.3302 ms 72.8% triton_mm_2667 0.3317 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5373 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) mm 0.0262 ms 100.0% triton_mm_2570 0.0264 ms 99.2% triton_mm_2574 0.0323 ms 81.2% triton_mm_2578 0.0380 ms 68.9% triton_mm_2582 0.0482 ms 54.4% triton_mm_2569 0.0485 ms 54.1% triton_mm_2568 0.0525 ms 49.9% triton_mm_2573 0.0561 ms 46.7% triton_mm_2577 0.0592 ms 44.3% triton_mm_2567 0.0623 ms 42.1% SingleProcess AUTOTUNE benchmarking takes 2.0961 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0658 ms 100.0% triton_mm_2692 0.0660 ms 99.7% triton_mm_2693 0.0703 ms 93.6% triton_mm_2687 0.0818 ms 80.5% triton_mm_2685 0.0828 ms 79.5% triton_mm_2689 0.0828 ms 79.5% triton_mm_2694 0.0832 ms 79.2% triton_mm_2686 0.0878 ms 74.9% triton_mm_2690 0.0886 ms 74.3% triton_mm_2688 0.1010 ms 65.2% SingleProcess AUTOTUNE benchmarking takes 2.4181 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1714 ms 100.0% triton_mm_2730 0.1748 ms 98.1% triton_mm_2731 0.1811 ms 94.7% triton_mm_2732 0.1861 ms 92.1% triton_mm_2725 0.2186 ms 78.4% triton_mm_2723 0.2247 ms 76.3% triton_mm_2727 0.2298 ms 74.6% triton_mm_2726 0.2320 ms 73.9% triton_mm_2724 0.2436 ms 70.4% triton_mm_2728 0.2467 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.5063 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2778 0.0162 ms 100.0% triton_mm_2780 0.0162 ms 100.0% triton_mm_2775 0.0163 ms 99.8% triton_mm_2777 0.0163 ms 99.6% triton_mm_2784 0.0170 ms 95.3% triton_mm_2776 0.0171 ms 95.1% triton_mm_2781 0.0175 ms 92.7% triton_mm_2785 0.0178 ms 91.2% triton_mm_2774 0.0178 ms 91.0% triton_mm_2782 0.0180 ms 90.1% SingleProcess AUTOTUNE benchmarking takes 2.1457 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2422 ms 100.0% triton_mm_2821 0.2769 ms 87.5% triton_mm_2822 0.2851 ms 84.9% triton_mm_2823 0.2885 ms 84.0% triton_mm_2816 0.2973 ms 81.5% triton_mm_2814 0.3129 ms 77.4% triton_mm_2818 0.3152 ms 76.9% triton_mm_2817 0.3167 ms 76.5% triton_mm_2819 0.3270 ms 74.1% triton_mm_2815 0.3348 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5306 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2407 ms 100.0% triton_mm_2859 0.2783 ms 86.5% triton_mm_2860 0.2878 ms 83.6% triton_mm_2861 0.2904 ms 82.9% triton_mm_2854 0.2962 ms 81.3% triton_mm_2852 0.3131 ms 76.9% triton_mm_2856 0.3156 ms 76.3% triton_mm_2855 0.3157 ms 76.2% triton_mm_2857 0.3281 ms 73.3% triton_mm_2853 0.3328 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5440 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2756 0.0252 ms 100.0% mm 0.0262 ms 95.9% triton_mm_2760 0.0323 ms 78.0% triton_mm_2764 0.0381 ms 66.0% triton_mm_2768 0.0482 ms 52.2% triton_mm_2755 0.0485 ms 51.8% triton_mm_2754 0.0523 ms 48.1% triton_mm_2759 0.0568 ms 44.3% triton_mm_2763 0.0589 ms 42.7% triton_mm_2753 0.0623 ms 40.4% SingleProcess AUTOTUNE benchmarking takes 2.0973 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2411 ms 100.0% triton_mm_3007 0.2770 ms 87.0% triton_mm_3008 0.2857 ms 84.4% triton_mm_3009 0.2872 ms 83.9% triton_mm_3002 0.2971 ms 81.2% triton_mm_3004 0.3116 ms 77.4% triton_mm_3000 0.3141 ms 76.8% triton_mm_3003 0.3167 ms 76.1% triton_mm_3005 0.3263 ms 73.9% triton_mm_3001 0.3355 ms 71.9% SingleProcess AUTOTUNE benchmarking takes 2.5370 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2406 ms 100.0% triton_mm_3045 0.2782 ms 86.5% triton_mm_3046 0.2871 ms 83.8% triton_mm_3047 0.2902 ms 82.9% triton_mm_3040 0.2960 ms 81.3% triton_mm_3038 0.3135 ms 76.8% triton_mm_3041 0.3147 ms 76.4% triton_mm_3042 0.3156 ms 76.2% triton_mm_3043 0.3293 ms 73.1% triton_mm_3039 0.3330 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5309 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2942 0.0252 ms 100.0% mm 0.0262 ms 96.2% triton_mm_2946 0.0310 ms 81.3% triton_mm_2950 0.0380 ms 66.3% triton_mm_2954 0.0482 ms 52.3% triton_mm_2941 0.0485 ms 51.9% triton_mm_2940 0.0524 ms 48.1% triton_mm_2945 0.0561 ms 45.0% triton_mm_2949 0.0591 ms 42.7% triton_mm_2939 0.0622 ms 40.5% SingleProcess AUTOTUNE benchmarking takes 2.0855 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0659 ms 100.0% triton_mm_3064 0.0668 ms 98.5% triton_mm_3065 0.0713 ms 92.3% triton_mm_3059 0.0810 ms 81.3% triton_mm_3061 0.0822 ms 80.1% triton_mm_3066 0.0823 ms 80.0% triton_mm_3057 0.0829 ms 79.4% triton_mm_3058 0.0880 ms 74.9% triton_mm_3062 0.0895 ms 73.6% triton_mm_3060 0.1019 ms 64.7% SingleProcess AUTOTUNE benchmarking takes 2.4097 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1724 ms 100.0% triton_mm_3102 0.1753 ms 98.3% triton_mm_3103 0.1812 ms 95.1% triton_mm_3104 0.1872 ms 92.1% triton_mm_3097 0.2190 ms 78.7% triton_mm_3095 0.2253 ms 76.5% triton_mm_3099 0.2297 ms 75.0% triton_mm_3098 0.2324 ms 74.2% triton_mm_3096 0.2437 ms 70.7% triton_mm_3100 0.2468 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5069 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_3149 0.0162 ms 100.0% triton_mm_3152 0.0162 ms 100.0% triton_mm_3154 0.0170 ms 95.7% triton_mm_3151 0.0170 ms 95.5% triton_mm_3156 0.0170 ms 95.5% triton_mm_3148 0.0170 ms 95.3% triton_mm_3150 0.0172 ms 94.4% triton_mm_3147 0.0173 ms 93.8% triton_mm_3153 0.0173 ms 93.7% triton_mm_3157 0.0178 ms 91.4% SingleProcess AUTOTUNE benchmarking takes 2.1598 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2418 ms 100.0% triton_mm_3193 0.2787 ms 86.8% triton_mm_3194 0.2860 ms 84.6% triton_mm_3195 0.2890 ms 83.7% triton_mm_3188 0.2975 ms 81.3% triton_mm_3190 0.3129 ms 77.3% triton_mm_3186 0.3146 ms 76.9% triton_mm_3189 0.3172 ms 76.2% triton_mm_3191 0.3279 ms 73.7% triton_mm_3187 0.3352 ms 72.1% SingleProcess AUTOTUNE benchmarking takes 2.5381 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2410 ms 100.0% triton_mm_3231 0.2782 ms 86.6% triton_mm_3232 0.2860 ms 84.2% triton_mm_3233 0.2900 ms 83.1% triton_mm_3226 0.2960 ms 81.4% triton_mm_3224 0.3152 ms 76.5% triton_mm_3228 0.3160 ms 76.2% triton_mm_3227 0.3164 ms 76.2% triton_mm_3229 0.3296 ms 73.1% triton_mm_3225 0.3337 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5428 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) mm 0.0262 ms 100.0% triton_mm_3128 0.0263 ms 99.6% triton_mm_3132 0.0310 ms 84.5% triton_mm_3136 0.0380 ms 68.9% triton_mm_3140 0.0482 ms 54.3% triton_mm_3127 0.0485 ms 54.0% triton_mm_3126 0.0523 ms 50.1% triton_mm_3131 0.0559 ms 46.9% triton_mm_3135 0.0580 ms 45.1% triton_mm_3125 0.0621 ms 42.2% SingleProcess AUTOTUNE benchmarking takes 2.1129 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0658 ms 100.0% triton_mm_3250 0.0660 ms 99.7% triton_mm_3251 0.0703 ms 93.6% triton_mm_3245 0.0818 ms 80.5% triton_mm_3247 0.0827 ms 79.6% triton_mm_3243 0.0829 ms 79.4% triton_mm_3252 0.0833 ms 79.0% triton_mm_3244 0.0880 ms 74.8% triton_mm_3248 0.0886 ms 74.3% triton_mm_3246 0.1018 ms 64.6% SingleProcess AUTOTUNE benchmarking takes 2.4171 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1718 ms 100.0% triton_mm_3288 0.1757 ms 97.8% triton_mm_3289 0.1820 ms 94.4% triton_mm_3290 0.1876 ms 91.6% triton_mm_3283 0.2183 ms 78.7% triton_mm_3281 0.2250 ms 76.4% triton_mm_3285 0.2303 ms 74.6% triton_mm_3284 0.2319 ms 74.1% triton_mm_3282 0.2422 ms 70.9% triton_mm_3286 0.2477 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5105 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0675 ms 100.0% triton_mm_3436 0.0677 ms 99.7% triton_mm_3437 0.0721 ms 93.6% triton_mm_3431 0.0816 ms 82.7% triton_mm_3429 0.0829 ms 81.3% triton_mm_3438 0.0832 ms 81.1% triton_mm_3433 0.0838 ms 80.5% triton_mm_3430 0.0877 ms 76.9% triton_mm_3434 0.0892 ms 75.6% triton_mm_3432 0.1017 ms 66.3% SingleProcess AUTOTUNE benchmarking takes 2.4237 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1717 ms 100.0% triton_mm_3474 0.1750 ms 98.2% triton_mm_3475 0.1830 ms 93.9% triton_mm_3476 0.1881 ms 91.3% triton_mm_3469 0.2195 ms 78.2% triton_mm_3467 0.2257 ms 76.1% triton_mm_3471 0.2306 ms 74.5% triton_mm_3470 0.2334 ms 73.6% triton_mm_3468 0.2429 ms 70.7% triton_mm_3472 0.2481 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5121 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1024) triton_mm_3638 0.1585 ms 100.0% triton_mm_3634 0.1587 ms 99.9% mm 0.1645 ms 96.3% triton_mm_3636 0.1651 ms 96.0% triton_mm_3641 0.1759 ms 90.1% triton_mm_3637 0.1859 ms 85.3% triton_mm_3642 0.1885 ms 84.1% triton_mm_3643 0.1897 ms 83.6% triton_mm_3633 0.1976 ms 80.2% triton_mm_3639 0.1979 ms 80.1% SingleProcess AUTOTUNE benchmarking takes 9.2445 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1024) mm 0.1194 ms 100.0% triton_mm_3622 0.1219 ms 97.9% triton_mm_3623 0.1249 ms 95.6% triton_mm_3624 0.1302 ms 91.7% triton_mm_3617 0.1523 ms 78.4% triton_mm_3615 0.1532 ms 77.9% triton_mm_3619 0.1534 ms 77.8% triton_mm_3616 0.1645 ms 72.6% triton_mm_3618 0.1652 ms 72.3% triton_mm_3620 0.1687 ms 70.8% SingleProcess AUTOTUNE benchmarking takes 2.4713 seconds and 0.0008 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) triton_mm_3736 0.0674 ms 100.0% mm 0.0674 ms 99.9% triton_mm_3737 0.0718 ms 93.8% triton_mm_3731 0.0825 ms 81.6% triton_mm_3729 0.0828 ms 81.4% triton_mm_3733 0.0828 ms 81.4% triton_mm_3738 0.0837 ms 80.5% triton_mm_3730 0.0877 ms 76.8% triton_mm_3734 0.0900 ms 74.9% triton_mm_3732 0.1016 ms 66.3% SingleProcess AUTOTUNE benchmarking takes 2.4302 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1714 ms 100.0% triton_mm_3774 0.1745 ms 98.2% triton_mm_3775 0.1824 ms 94.0% triton_mm_3776 0.1875 ms 91.5% triton_mm_3769 0.2182 ms 78.6% triton_mm_3767 0.2254 ms 76.1% triton_mm_3771 0.2314 ms 74.1% triton_mm_3770 0.2329 ms 73.6% triton_mm_3768 0.2420 ms 70.8% triton_mm_3772 0.2492 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5128 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6840, 6840x28) mm 0.0315 ms 100.0% triton_mm_4771 0.0477 ms 66.1% triton_mm_4764 0.0487 ms 64.8% triton_mm_4762 0.0569 ms 55.4% triton_mm_4763 0.0635 ms 49.7% triton_mm_4770 0.0684 ms 46.1% triton_mm_4767 0.0711 ms 44.3% triton_mm_4761 0.0713 ms 44.2% triton_mm_4776 0.0734 ms 43.0% triton_mm_4769 0.0785 ms 40.2% SingleProcess AUTOTUNE benchmarking takes 6.5102 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, 28x1024) triton_mm_6 0.0256 ms 100.0% triton_mm_11 0.0257 ms 99.6% triton_mm_7 0.0257 ms 99.4% triton_mm_8 0.0266 ms 96.1% triton_mm_12 0.0266 ms 96.1% triton_mm_9 0.0268 ms 95.5% triton_mm_3 0.0271 ms 94.4% triton_mm_4 0.0272 ms 94.0% triton_mm_14 0.0272 ms 93.9% triton_mm_16 0.0272 ms 93.9% SingleProcess AUTOTUNE benchmarking takes 2.1229 seconds and 0.0173 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_33 0.0198 ms 100.0% triton_mm_29 0.0209 ms 94.7% triton_mm_25 0.0210 ms 94.7% triton_mm_21 0.0217 ms 91.4% triton_mm_18 0.0221 ms 89.9% triton_mm_24 0.0221 ms 89.7% bias_addmm 0.0223 ms 88.8% triton_mm_20 0.0225 ms 88.2% triton_mm_28 0.0229 ms 86.6% triton_mm_19 0.0235 ms 84.6% SingleProcess AUTOTUNE benchmarking takes 2.2074 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x3072, 6864x1024, 1024x3072) triton_mm_50 0.1960 ms 100.0% triton_mm_51 0.2014 ms 97.3% bias_addmm 0.2212 ms 88.6% triton_mm_45 0.2378 ms 82.4% triton_mm_43 0.2420 ms 81.0% triton_mm_47 0.2433 ms 80.5% triton_mm_52 0.2453 ms 79.9% triton_mm_44 0.2687 ms 73.0% triton_mm_48 0.2742 ms 71.5% addmm 0.2917 ms 67.2% SingleProcess AUTOTUNE benchmarking takes 2.5877 seconds and 0.0446 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x1024, 1024x1024) bias_addmm 0.0687 ms 100.0% triton_mm_69 0.0711 ms 96.6% triton_mm_70 0.0714 ms 96.1% triton_mm_62 0.0845 ms 81.2% triton_mm_71 0.0861 ms 79.7% triton_mm_64 0.0865 ms 79.4% triton_mm_66 0.0866 ms 79.3% triton_mm_63 0.0938 ms 73.2% addmm 0.0939 ms 73.2% triton_mm_67 0.0962 ms 71.4% SingleProcess AUTOTUNE benchmarking takes 2.5142 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x4096, 6864x1024, 1024x4096) triton_mm_88 0.2608 ms 100.0% triton_mm_89 0.2645 ms 98.6% bias_addmm 0.2948 ms 88.5% triton_mm_83 0.3117 ms 83.7% triton_mm_85 0.3207 ms 81.3% triton_mm_81 0.3217 ms 81.1% triton_mm_90 0.3228 ms 80.8% triton_mm_82 0.3545 ms 73.6% triton_mm_86 0.3626 ms 71.9% triton_mm_84 0.3921 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.6617 seconds and 0.0266 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x4096, 4096x1024) triton_mm_108 0.2396 ms 100.0% triton_mm_107 0.2433 ms 98.5% bias_addmm 0.2503 ms 95.7% triton_mm_109 0.2557 ms 93.7% addmm 0.2661 ms 90.0% triton_mm_104 0.3074 ms 77.9% triton_mm_102 0.3100 ms 77.3% triton_mm_103 0.3175 ms 75.5% triton_mm_100 0.3200 ms 74.9% triton_mm_105 0.3452 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.6546 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_118 0.0209 ms 100.0% triton_mm_117 0.0209 ms 99.8% triton_mm_122 0.0209 ms 99.8% triton_mm_126 0.0210 ms 99.3% triton_mm_114 0.0217 ms 96.2% triton_mm_111 0.0220 ms 94.8% bias_addmm 0.0223 ms 93.8% triton_mm_112 0.0223 ms 93.6% triton_mm_121 0.0229 ms 91.3% triton_mm_113 0.0237 ms 88.2% SingleProcess AUTOTUNE benchmarking takes 2.2095 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1024, 1024x2048) triton_mm_591 0.1310 ms 100.0% triton_mm_592 0.1330 ms 98.5% bias_addmm 0.1514 ms 86.5% triton_mm_586 0.1580 ms 83.0% triton_mm_584 0.1615 ms 81.1% triton_mm_588 0.1617 ms 81.1% triton_mm_593 0.1644 ms 79.7% addmm 0.1714 ms 76.5% triton_mm_585 0.1786 ms 73.4% triton_mm_589 0.1807 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5929 seconds and 0.0009 seconds precompiling AUTOTUNE mm(24x1024, 1024x2048) triton_mm_1566 0.0126 ms 100.0% triton_mm_1570 0.0133 ms 94.7% triton_mm_1574 0.0141 ms 89.1% triton_mm_1578 0.0156 ms 80.5% triton_mm_1565 0.0161 ms 78.3% mm 0.0166 ms 75.6% triton_mm_1569 0.0167 ms 75.4% triton_mm_1563 0.0173 ms 72.8% triton_mm_1564 0.0180 ms 70.1% triton_mm_1576 0.0188 ms 67.1% SingleProcess AUTOTUNE benchmarking takes 2.0901 seconds and 0.0056 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1024, 1024x32768) bias_addmm 2.0319 ms 100.0% triton_mm_1596 2.1151 ms 96.1% triton_mm_1595 2.1235 ms 95.7% triton_mm_1590 2.5649 ms 79.2% triton_mm_1597 2.5755 ms 78.9% triton_mm_1592 2.6192 ms 77.6% triton_mm_1588 2.6858 ms 75.7% addmm 2.7183 ms 74.7% triton_mm_1589 2.9467 ms 69.0% triton_mm_1593 2.9778 ms 68.2% SingleProcess AUTOTUNE benchmarking takes 3.0921 seconds and 0.0010 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, 6864x1024) triton_mm_1633 1.8416 ms 100.0% triton_mm_1634 1.9168 ms 96.1% mm 1.9681 ms 93.6% triton_mm_1635 1.9814 ms 92.9% triton_mm_1628 2.4287 ms 75.8% triton_mm_1626 2.4330 ms 75.7% triton_mm_1630 2.4914 ms 73.9% triton_mm_1629 2.5566 ms 72.0% triton_mm_1631 2.6360 ms 69.9% triton_mm_1627 2.6391 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.9020 seconds and 0.0022 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_1686 0.2474 ms 100.0% mm 0.2485 ms 99.5% triton_mm_1687 0.2626 ms 94.2% triton_mm_1681 0.3007 ms 82.3% triton_mm_1679 0.3008 ms 82.2% triton_mm_1683 0.3060 ms 80.8% triton_mm_1688 0.3068 ms 80.6% triton_mm_1680 0.3310 ms 74.7% triton_mm_1684 0.3396 ms 72.8% triton_mm_1682 0.3573 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 9.8815 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2316 ms 100.0% triton_mm_1724 0.2350 ms 98.5% triton_mm_1725 0.2422 ms 95.6% triton_mm_1726 0.2489 ms 93.0% triton_mm_1719 0.2927 ms 79.1% triton_mm_1721 0.2973 ms 77.9% triton_mm_1717 0.3012 ms 76.9% triton_mm_1720 0.3068 ms 75.5% triton_mm_1718 0.3259 ms 71.1% triton_mm_1722 0.3342 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5330 seconds and 0.0010 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2432 ms 100.0% triton_mm_1705 0.2799 ms 86.9% triton_mm_1706 0.2881 ms 84.4% triton_mm_1707 0.2924 ms 83.2% triton_mm_1700 0.3013 ms 80.7% triton_mm_1702 0.3185 ms 76.4% triton_mm_1698 0.3198 ms 76.1% triton_mm_1701 0.3200 ms 76.0% triton_mm_1703 0.3321 ms 73.2% triton_mm_1699 0.3401 ms 71.5% SingleProcess AUTOTUNE benchmarking takes 2.5344 seconds and 0.0010 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2446 ms 100.0% triton_mm_1743 0.2801 ms 87.4% triton_mm_1744 0.2877 ms 85.0% triton_mm_1745 0.2911 ms 84.0% triton_mm_1738 0.2974 ms 82.3% triton_mm_1740 0.3162 ms 77.4% triton_mm_1736 0.3164 ms 77.3% triton_mm_1739 0.3175 ms 77.0% triton_mm_1741 0.3302 ms 74.1% triton_mm_1737 0.3349 ms 73.1% SingleProcess AUTOTUNE benchmarking takes 9.8332 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x24, 24x1024) triton_mm_1661 0.0108 ms 100.0% triton_mm_1666 0.0113 ms 95.2% triton_mm_1658 0.0113 ms 95.0% triton_mm_1657 0.0114 ms 94.6% triton_mm_1659 0.0116 ms 92.6% triton_mm_1660 0.0118 ms 90.8% triton_mm_1665 0.0118 ms 90.8% triton_mm_1653 0.0119 ms 90.6% triton_mm_1662 0.0120 ms 89.4% triton_mm_1663 0.0122 ms 88.2% SingleProcess AUTOTUNE benchmarking takes 2.1368 seconds and 0.0009 seconds precompiling AUTOTUNE mm(24x2048, 2048x1024) triton_mm_1640 0.0157 ms 100.0% mm 0.0168 ms 93.5% triton_mm_1644 0.0190 ms 83.0% triton_mm_1639 0.0210 ms 74.9% triton_mm_1638 0.0226 ms 69.8% triton_mm_1652 0.0226 ms 69.6% triton_mm_1647 0.0242 ms 65.1% triton_mm_1648 0.0243 ms 64.7% triton_mm_1643 0.0245 ms 64.3% triton_mm_1637 0.0247 ms 63.8% SingleProcess AUTOTUNE benchmarking takes 2.1411 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1024) mm 1.7267 ms 100.0% triton_mm_1614 1.8845 ms 91.6% triton_mm_1615 1.9257 ms 89.7% triton_mm_1616 1.9430 ms 88.9% triton_mm_1609 2.4485 ms 70.5% triton_mm_1610 2.4975 ms 69.1% triton_mm_1607 2.5251 ms 68.4% triton_mm_1608 2.6107 ms 66.1% triton_mm_1612 2.6800 ms 64.4% triton_mm_1611 2.7168 ms 63.6% SingleProcess AUTOTUNE benchmarking takes 2.9173 seconds and 0.0010 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) triton_mm_1819 0.1886 ms 100.0% triton_mm_1820 0.1943 ms 97.1% triton_mm_1821 0.1980 ms 95.2% mm 0.2097 ms 90.0% triton_mm_1814 0.2412 ms 78.2% triton_mm_1815 0.2525 ms 74.7% triton_mm_1817 0.2610 ms 72.3% triton_mm_1813 0.2656 ms 71.0% triton_mm_1816 0.2730 ms 69.1% triton_mm_1812 0.2769 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.5002 seconds and 0.0009 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0755 ms 100.0% triton_mm_1783 0.0980 ms 77.0% triton_mm_1776 0.1031 ms 73.2% triton_mm_1782 0.1083 ms 69.7% triton_mm_1774 0.1171 ms 64.5% triton_mm_1773 0.1175 ms 64.3% triton_mm_1778 0.1193 ms 63.3% triton_mm_1781 0.1223 ms 61.7% triton_mm_1777 0.1258 ms 60.0% triton_mm_1772 0.1306 ms 57.8% SingleProcess AUTOTUNE benchmarking takes 2.4252 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0666 ms 100.0% triton_mm_1762 0.0669 ms 99.5% triton_mm_1763 0.0716 ms 93.1% triton_mm_1757 0.0821 ms 81.2% triton_mm_1759 0.0829 ms 80.4% triton_mm_1755 0.0832 ms 80.1% triton_mm_1764 0.0837 ms 79.6% triton_mm_1756 0.0873 ms 76.3% triton_mm_1760 0.0897 ms 74.3% triton_mm_1758 0.1000 ms 66.6% SingleProcess AUTOTUNE benchmarking takes 2.4182 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1746 ms 100.0% triton_mm_1800 0.1773 ms 98.5% triton_mm_1801 0.1839 ms 94.9% triton_mm_1802 0.1899 ms 91.9% triton_mm_1795 0.2223 ms 78.5% triton_mm_1793 0.2285 ms 76.4% triton_mm_1796 0.2348 ms 74.4% triton_mm_1797 0.2356 ms 74.1% triton_mm_1794 0.2452 ms 71.2% triton_mm_1798 0.2503 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.5080 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_1847 0.0160 ms 100.0% triton_mm_1850 0.0163 ms 98.2% triton_mm_1844 0.0166 ms 96.7% triton_mm_1845 0.0171 ms 93.6% triton_mm_1851 0.0172 ms 93.1% triton_mm_1848 0.0173 ms 92.8% triton_mm_1846 0.0174 ms 92.1% triton_mm_1853 0.0176 ms 91.1% triton_mm_1854 0.0177 ms 90.4% triton_mm_1849 0.0178 ms 89.9% SingleProcess AUTOTUNE benchmarking takes 2.1237 seconds and 0.0006 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2468 ms 100.0% triton_mm_1929 0.2809 ms 87.8% triton_mm_1930 0.2899 ms 85.1% triton_mm_1931 0.2930 ms 84.2% triton_mm_1924 0.2987 ms 82.6% triton_mm_1926 0.3181 ms 77.6% triton_mm_1925 0.3191 ms 77.3% triton_mm_1922 0.3195 ms 77.2% triton_mm_1927 0.3333 ms 74.0% triton_mm_1923 0.3366 ms 73.3% SingleProcess AUTOTUNE benchmarking takes 2.5323 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_1826 0.0251 ms 100.0% mm 0.0263 ms 95.5% triton_mm_1830 0.0310 ms 81.1% triton_mm_1834 0.0380 ms 66.1% triton_mm_1825 0.0489 ms 51.4% triton_mm_1838 0.0491 ms 51.2% triton_mm_1824 0.0525 ms 47.8% triton_mm_1829 0.0553 ms 45.4% triton_mm_1833 0.0580 ms 43.3% triton_mm_1823 0.0609 ms 41.3% SingleProcess AUTOTUNE benchmarking takes 2.0906 seconds and 0.0007 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1786 ms 100.0% triton_mm_2005 0.1884 ms 94.8% triton_mm_2006 0.1938 ms 92.2% triton_mm_2007 0.1982 ms 90.1% triton_mm_2000 0.2409 ms 74.1% triton_mm_2001 0.2535 ms 70.4% triton_mm_2003 0.2618 ms 68.2% triton_mm_1999 0.2652 ms 67.3% triton_mm_2002 0.2734 ms 65.3% triton_mm_1998 0.2772 ms 64.4% SingleProcess AUTOTUNE benchmarking takes 2.5116 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0752 ms 100.0% triton_mm_1969 0.0980 ms 76.7% triton_mm_1962 0.1034 ms 72.7% triton_mm_1968 0.1079 ms 69.7% triton_mm_1960 0.1161 ms 64.8% triton_mm_1959 0.1165 ms 64.6% triton_mm_1964 0.1196 ms 62.9% triton_mm_1967 0.1223 ms 61.5% triton_mm_1963 0.1261 ms 59.6% triton_mm_1958 0.1291 ms 58.2% SingleProcess AUTOTUNE benchmarking takes 2.4266 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0673 ms 100.0% triton_mm_1948 0.0677 ms 99.4% triton_mm_1949 0.0708 ms 95.1% triton_mm_1943 0.0821 ms 82.0% triton_mm_1941 0.0825 ms 81.6% triton_mm_1950 0.0830 ms 81.1% triton_mm_1945 0.0835 ms 80.6% triton_mm_1942 0.0873 ms 77.1% triton_mm_1946 0.0890 ms 75.6% triton_mm_1944 0.1000 ms 67.3% SingleProcess AUTOTUNE benchmarking takes 2.4167 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1745 ms 100.0% triton_mm_1986 0.1777 ms 98.2% triton_mm_1987 0.1850 ms 94.3% triton_mm_1988 0.1892 ms 92.2% triton_mm_1981 0.2212 ms 78.9% triton_mm_1979 0.2295 ms 76.0% triton_mm_1983 0.2348 ms 74.3% triton_mm_1982 0.2348 ms 74.3% triton_mm_1980 0.2458 ms 71.0% triton_mm_1984 0.2508 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.5074 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2037 0.0162 ms 100.0% triton_mm_2030 0.0166 ms 97.5% triton_mm_2035 0.0168 ms 96.0% triton_mm_2040 0.0169 ms 95.6% triton_mm_2031 0.0171 ms 94.4% triton_mm_2033 0.0171 ms 94.4% triton_mm_2036 0.0172 ms 93.7% triton_mm_2034 0.0173 ms 93.5% triton_mm_2032 0.0174 ms 92.7% triton_mm_2038 0.0180 ms 90.0% SingleProcess AUTOTUNE benchmarking takes 2.1462 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2471 ms 100.0% triton_mm_2115 0.2816 ms 87.7% triton_mm_2116 0.2907 ms 85.0% triton_mm_2117 0.2940 ms 84.0% triton_mm_2110 0.3002 ms 82.3% triton_mm_2112 0.3188 ms 77.5% triton_mm_2108 0.3190 ms 77.5% triton_mm_2111 0.3205 ms 77.1% triton_mm_2113 0.3331 ms 74.2% triton_mm_2109 0.3376 ms 73.2% SingleProcess AUTOTUNE benchmarking takes 2.5373 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2012 0.0252 ms 100.0% mm 0.0264 ms 95.4% triton_mm_2016 0.0321 ms 78.4% triton_mm_2020 0.0391 ms 64.4% triton_mm_2011 0.0481 ms 52.2% triton_mm_2024 0.0482 ms 52.2% triton_mm_2010 0.0517 ms 48.6% triton_mm_2015 0.0560 ms 44.9% triton_mm_2019 0.0572 ms 43.9% triton_mm_2009 0.0615 ms 40.9% SingleProcess AUTOTUNE benchmarking takes 2.0951 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1755 ms 100.0% triton_mm_2191 0.1890 ms 92.8% triton_mm_2192 0.1949 ms 90.0% triton_mm_2193 0.1983 ms 88.5% triton_mm_2186 0.2415 ms 72.7% triton_mm_2187 0.2528 ms 69.4% triton_mm_2189 0.2614 ms 67.1% triton_mm_2185 0.2671 ms 65.7% triton_mm_2188 0.2730 ms 64.3% triton_mm_2184 0.2785 ms 63.0% SingleProcess AUTOTUNE benchmarking takes 2.5140 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0763 ms 100.0% triton_mm_2155 0.0979 ms 77.9% triton_mm_2148 0.1039 ms 73.4% triton_mm_2154 0.1083 ms 70.4% triton_mm_2146 0.1168 ms 65.3% triton_mm_2145 0.1171 ms 65.1% triton_mm_2150 0.1199 ms 63.6% triton_mm_2153 0.1216 ms 62.7% triton_mm_2149 0.1251 ms 61.0% triton_mm_2151 0.1298 ms 58.8% SingleProcess AUTOTUNE benchmarking takes 2.4144 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0671 ms 100.0% triton_mm_2134 0.0678 ms 99.1% triton_mm_2135 0.0716 ms 93.8% triton_mm_2129 0.0820 ms 81.9% triton_mm_2127 0.0824 ms 81.4% triton_mm_2131 0.0836 ms 80.3% triton_mm_2136 0.0837 ms 80.2% triton_mm_2128 0.0874 ms 76.8% triton_mm_2132 0.0890 ms 75.4% triton_mm_2130 0.1000 ms 67.1% SingleProcess AUTOTUNE benchmarking takes 2.4024 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1747 ms 100.0% triton_mm_2172 0.1785 ms 97.8% triton_mm_2173 0.1850 ms 94.4% triton_mm_2174 0.1894 ms 92.2% triton_mm_2167 0.2230 ms 78.3% triton_mm_2165 0.2300 ms 75.9% triton_mm_2168 0.2348 ms 74.4% triton_mm_2169 0.2364 ms 73.9% triton_mm_2166 0.2459 ms 71.0% triton_mm_2170 0.2517 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.4975 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2221 0.0168 ms 100.0% triton_mm_2226 0.0169 ms 99.8% triton_mm_2217 0.0171 ms 98.3% triton_mm_2219 0.0171 ms 98.3% triton_mm_2223 0.0172 ms 97.9% triton_mm_2220 0.0172 ms 97.8% triton_mm_2222 0.0172 ms 97.8% triton_mm_2225 0.0176 ms 95.8% triton_mm_2216 0.0177 ms 95.3% triton_mm_2224 0.0180 ms 93.6% SingleProcess AUTOTUNE benchmarking takes 2.1262 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2454 ms 100.0% triton_mm_2301 0.2821 ms 87.0% triton_mm_2302 0.2913 ms 84.2% triton_mm_2303 0.2943 ms 83.4% triton_mm_2296 0.2996 ms 81.9% triton_mm_2294 0.3188 ms 77.0% triton_mm_2298 0.3196 ms 76.8% triton_mm_2297 0.3217 ms 76.3% triton_mm_2299 0.3338 ms 73.5% triton_mm_2295 0.3372 ms 72.8% SingleProcess AUTOTUNE benchmarking takes 2.5281 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2198 0.0252 ms 100.0% mm 0.0262 ms 95.9% triton_mm_2202 0.0321 ms 78.4% triton_mm_2206 0.0380 ms 66.2% triton_mm_2197 0.0481 ms 52.3% triton_mm_2210 0.0493 ms 51.0% triton_mm_2196 0.0517 ms 48.6% triton_mm_2201 0.0561 ms 44.9% triton_mm_2205 0.0580 ms 43.4% triton_mm_2195 0.0616 ms 40.8% SingleProcess AUTOTUNE benchmarking takes 2.0830 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1762 ms 100.0% triton_mm_2377 0.1884 ms 93.5% triton_mm_2378 0.1943 ms 90.7% triton_mm_2379 0.1992 ms 88.5% triton_mm_2372 0.2417 ms 72.9% triton_mm_2373 0.2545 ms 69.3% triton_mm_2375 0.2629 ms 67.0% triton_mm_2371 0.2657 ms 66.3% triton_mm_2374 0.2747 ms 64.1% triton_mm_2370 0.2774 ms 63.5% SingleProcess AUTOTUNE benchmarking takes 2.5086 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0758 ms 100.0% triton_mm_2341 0.0988 ms 76.7% triton_mm_2334 0.1038 ms 73.0% triton_mm_2340 0.1072 ms 70.7% triton_mm_2332 0.1167 ms 65.0% triton_mm_2331 0.1171 ms 64.8% triton_mm_2336 0.1200 ms 63.2% triton_mm_2339 0.1217 ms 62.3% triton_mm_2335 0.1251 ms 60.6% triton_mm_2337 0.1299 ms 58.4% SingleProcess AUTOTUNE benchmarking takes 2.4233 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0665 ms 100.0% triton_mm_2320 0.0670 ms 99.3% triton_mm_2321 0.0708 ms 94.0% triton_mm_2315 0.0821 ms 81.0% triton_mm_2317 0.0830 ms 80.1% triton_mm_2322 0.0830 ms 80.1% triton_mm_2313 0.0832 ms 79.9% triton_mm_2314 0.0874 ms 76.1% triton_mm_2318 0.0898 ms 74.1% triton_mm_2316 0.1000 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.4180 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1746 ms 100.0% triton_mm_2358 0.1785 ms 97.8% triton_mm_2359 0.1853 ms 94.2% triton_mm_2360 0.1897 ms 92.0% triton_mm_2353 0.2228 ms 78.4% triton_mm_2351 0.2302 ms 75.8% triton_mm_2354 0.2349 ms 74.3% triton_mm_2355 0.2360 ms 74.0% triton_mm_2352 0.2459 ms 71.0% triton_mm_2356 0.2516 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5027 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2406 0.0163 ms 100.0% triton_mm_2412 0.0169 ms 96.6% triton_mm_2403 0.0171 ms 95.3% triton_mm_2405 0.0171 ms 95.3% triton_mm_2409 0.0172 ms 95.0% triton_mm_2408 0.0172 ms 94.8% triton_mm_2402 0.0176 ms 92.9% triton_mm_2411 0.0176 ms 92.7% triton_mm_2407 0.0179 ms 91.1% triton_mm_2410 0.0180 ms 90.7% SingleProcess AUTOTUNE benchmarking takes 2.1277 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2450 ms 100.0% triton_mm_2487 0.2829 ms 86.6% triton_mm_2488 0.2913 ms 84.1% triton_mm_2489 0.2953 ms 83.0% triton_mm_2482 0.3004 ms 81.6% triton_mm_2480 0.3203 ms 76.5% triton_mm_2484 0.3204 ms 76.5% triton_mm_2483 0.3218 ms 76.2% triton_mm_2485 0.3346 ms 73.2% triton_mm_2481 0.3386 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 2.5237 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2384 0.0262 ms 100.0% mm 0.0263 ms 99.6% triton_mm_2388 0.0310 ms 84.5% triton_mm_2392 0.0380 ms 69.1% triton_mm_2383 0.0488 ms 53.7% triton_mm_2396 0.0493 ms 53.2% triton_mm_2382 0.0517 ms 50.7% triton_mm_2387 0.0553 ms 47.4% triton_mm_2391 0.0580 ms 45.2% triton_mm_2381 0.0617 ms 42.5% SingleProcess AUTOTUNE benchmarking takes 2.0873 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1763 ms 100.0% triton_mm_2563 0.1884 ms 93.6% triton_mm_2564 0.1942 ms 90.8% triton_mm_2565 0.1988 ms 88.7% triton_mm_2558 0.2418 ms 72.9% triton_mm_2559 0.2541 ms 69.4% triton_mm_2561 0.2627 ms 67.1% triton_mm_2557 0.2666 ms 66.1% triton_mm_2560 0.2752 ms 64.1% triton_mm_2556 0.2773 ms 63.6% SingleProcess AUTOTUNE benchmarking takes 2.5141 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0755 ms 100.0% triton_mm_2527 0.0991 ms 76.2% triton_mm_2520 0.1045 ms 72.2% triton_mm_2526 0.1072 ms 70.4% triton_mm_2518 0.1161 ms 65.0% triton_mm_2517 0.1165 ms 64.8% triton_mm_2522 0.1195 ms 63.2% triton_mm_2525 0.1216 ms 62.1% triton_mm_2521 0.1264 ms 59.7% triton_mm_2516 0.1291 ms 58.5% SingleProcess AUTOTUNE benchmarking takes 2.4374 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0666 ms 100.0% triton_mm_2506 0.0679 ms 98.0% triton_mm_2507 0.0717 ms 92.9% triton_mm_2501 0.0822 ms 81.0% triton_mm_2499 0.0825 ms 80.7% triton_mm_2503 0.0837 ms 79.6% triton_mm_2508 0.0839 ms 79.4% triton_mm_2500 0.0874 ms 76.2% triton_mm_2504 0.0890 ms 74.8% triton_mm_2502 0.1008 ms 66.1% SingleProcess AUTOTUNE benchmarking takes 2.4164 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1748 ms 100.0% triton_mm_2544 0.1780 ms 98.2% triton_mm_2545 0.1854 ms 94.3% triton_mm_2546 0.1906 ms 91.7% triton_mm_2539 0.2224 ms 78.6% triton_mm_2537 0.2302 ms 76.0% triton_mm_2540 0.2353 ms 74.3% triton_mm_2541 0.2355 ms 74.2% triton_mm_2538 0.2456 ms 71.2% triton_mm_2542 0.2513 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5136 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2595 0.0162 ms 100.0% triton_mm_2592 0.0163 ms 99.0% triton_mm_2588 0.0166 ms 97.5% triton_mm_2593 0.0168 ms 96.0% triton_mm_2591 0.0171 ms 94.3% triton_mm_2589 0.0172 ms 94.2% triton_mm_2594 0.0172 ms 93.7% triton_mm_2597 0.0176 ms 91.8% triton_mm_2599 0.0176 ms 91.8% triton_mm_2598 0.0178 ms 91.0% SingleProcess AUTOTUNE benchmarking takes 2.1302 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2440 ms 100.0% triton_mm_2673 0.2825 ms 86.4% triton_mm_2674 0.2908 ms 83.9% triton_mm_2675 0.2954 ms 82.6% triton_mm_2668 0.3009 ms 81.1% triton_mm_2670 0.3188 ms 76.5% triton_mm_2666 0.3194 ms 76.4% triton_mm_2669 0.3205 ms 76.1% triton_mm_2671 0.3338 ms 73.1% triton_mm_2667 0.3389 ms 72.0% SingleProcess AUTOTUNE benchmarking takes 2.5286 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2570 0.0252 ms 100.0% mm 0.0264 ms 95.2% triton_mm_2574 0.0321 ms 78.4% triton_mm_2578 0.0391 ms 64.3% triton_mm_2569 0.0481 ms 52.3% triton_mm_2582 0.0492 ms 51.1% triton_mm_2568 0.0517 ms 48.6% triton_mm_2573 0.0561 ms 44.9% triton_mm_2577 0.0573 ms 43.9% triton_mm_2567 0.0609 ms 41.3% SingleProcess AUTOTUNE benchmarking takes 2.0878 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1762 ms 100.0% triton_mm_2749 0.1893 ms 93.1% triton_mm_2750 0.1942 ms 90.7% triton_mm_2751 0.1992 ms 88.5% triton_mm_2744 0.2427 ms 72.6% triton_mm_2745 0.2537 ms 69.5% triton_mm_2747 0.2616 ms 67.4% triton_mm_2743 0.2660 ms 66.2% triton_mm_2746 0.2742 ms 64.3% triton_mm_2742 0.2780 ms 63.4% SingleProcess AUTOTUNE benchmarking takes 2.5154 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0666 ms 100.0% triton_mm_2692 0.0671 ms 99.3% triton_mm_2693 0.0708 ms 94.2% triton_mm_2687 0.0821 ms 81.2% triton_mm_2685 0.0825 ms 80.8% triton_mm_2694 0.0830 ms 80.3% triton_mm_2689 0.0831 ms 80.2% triton_mm_2686 0.0874 ms 76.2% triton_mm_2690 0.0898 ms 74.2% triton_mm_2688 0.1008 ms 66.1% SingleProcess AUTOTUNE benchmarking takes 2.4065 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1753 ms 100.0% triton_mm_2730 0.1792 ms 97.8% triton_mm_2731 0.1855 ms 94.5% triton_mm_2732 0.1900 ms 92.3% triton_mm_2725 0.2224 ms 78.8% triton_mm_2723 0.2294 ms 76.4% triton_mm_2726 0.2361 ms 74.3% triton_mm_2727 0.2368 ms 74.1% triton_mm_2724 0.2468 ms 71.1% triton_mm_2728 0.2525 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.4974 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2775 0.0161 ms 100.0% triton_mm_2781 0.0162 ms 99.4% triton_mm_2780 0.0163 ms 98.4% triton_mm_2774 0.0166 ms 96.9% triton_mm_2782 0.0169 ms 95.1% triton_mm_2777 0.0171 ms 93.8% triton_mm_2778 0.0173 ms 92.8% triton_mm_2784 0.0177 ms 90.6% triton_mm_2779 0.0179 ms 89.6% triton_mm_2776 0.0181 ms 88.6% SingleProcess AUTOTUNE benchmarking takes 2.1293 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2455 ms 100.0% triton_mm_2859 0.2817 ms 87.2% triton_mm_2860 0.2916 ms 84.2% triton_mm_2861 0.2946 ms 83.3% triton_mm_2854 0.3003 ms 81.8% triton_mm_2856 0.3205 ms 76.6% triton_mm_2852 0.3206 ms 76.6% triton_mm_2855 0.3217 ms 76.3% triton_mm_2857 0.3350 ms 73.3% triton_mm_2853 0.3383 ms 72.6% SingleProcess AUTOTUNE benchmarking takes 2.5258 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2756 0.0251 ms 100.0% mm 0.0263 ms 95.6% triton_mm_2760 0.0321 ms 78.3% triton_mm_2764 0.0391 ms 64.2% triton_mm_2768 0.0482 ms 52.1% triton_mm_2755 0.0489 ms 51.4% triton_mm_2754 0.0525 ms 47.8% triton_mm_2759 0.0560 ms 44.9% triton_mm_2763 0.0572 ms 43.9% triton_mm_2753 0.0609 ms 41.2% SingleProcess AUTOTUNE benchmarking takes 2.0861 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1756 ms 100.0% triton_mm_2935 0.1884 ms 93.2% triton_mm_2936 0.1942 ms 90.4% triton_mm_2937 0.1990 ms 88.2% triton_mm_2930 0.2417 ms 72.7% triton_mm_2931 0.2544 ms 69.0% triton_mm_2933 0.2636 ms 66.6% triton_mm_2929 0.2660 ms 66.0% triton_mm_2932 0.2749 ms 63.9% triton_mm_2928 0.2786 ms 63.0% SingleProcess AUTOTUNE benchmarking takes 2.5177 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0756 ms 100.0% triton_mm_2899 0.0983 ms 76.9% triton_mm_2892 0.1031 ms 73.3% triton_mm_2898 0.1072 ms 70.6% triton_mm_2890 0.1160 ms 65.2% triton_mm_2889 0.1166 ms 64.9% triton_mm_2894 0.1193 ms 63.4% triton_mm_2897 0.1217 ms 62.2% triton_mm_2893 0.1260 ms 60.0% triton_mm_2888 0.1292 ms 58.5% SingleProcess AUTOTUNE benchmarking takes 2.4315 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) triton_mm_2878 0.0672 ms 100.0% mm 0.0674 ms 99.6% triton_mm_2879 0.0719 ms 93.5% triton_mm_2873 0.0816 ms 82.3% triton_mm_2871 0.0836 ms 80.3% triton_mm_2875 0.0839 ms 80.0% triton_mm_2880 0.0840 ms 80.0% triton_mm_2872 0.0886 ms 75.8% triton_mm_2876 0.0893 ms 75.2% triton_mm_2874 0.1011 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.4263 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1749 ms 100.0% triton_mm_2916 0.1782 ms 98.1% triton_mm_2917 0.1845 ms 94.8% triton_mm_2918 0.1909 ms 91.6% triton_mm_2911 0.2231 ms 78.4% triton_mm_2909 0.2288 ms 76.4% triton_mm_2912 0.2357 ms 74.2% triton_mm_2913 0.2359 ms 74.1% triton_mm_2910 0.2460 ms 71.1% triton_mm_2914 0.2513 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5091 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2961 0.0160 ms 100.0% triton_mm_2964 0.0163 ms 98.2% triton_mm_2966 0.0163 ms 98.2% triton_mm_2965 0.0169 ms 95.1% triton_mm_2963 0.0173 ms 92.6% triton_mm_2967 0.0173 ms 92.4% triton_mm_2962 0.0174 ms 91.9% triton_mm_2969 0.0176 ms 91.1% triton_mm_2968 0.0176 ms 90.9% triton_mm_2960 0.0178 ms 89.9% SingleProcess AUTOTUNE benchmarking takes 2.1459 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2452 ms 100.0% triton_mm_3045 0.2816 ms 87.1% triton_mm_3046 0.2912 ms 84.2% triton_mm_3047 0.2948 ms 83.1% triton_mm_3040 0.3011 ms 81.4% triton_mm_3038 0.3197 ms 76.7% triton_mm_3042 0.3206 ms 76.5% triton_mm_3041 0.3209 ms 76.4% triton_mm_3043 0.3353 ms 73.1% triton_mm_3039 0.3390 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5385 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_2942 0.0252 ms 100.0% mm 0.0264 ms 95.2% triton_mm_2946 0.0322 ms 78.1% triton_mm_2950 0.0392 ms 64.2% triton_mm_2954 0.0484 ms 52.0% triton_mm_2941 0.0490 ms 51.4% triton_mm_2940 0.0517 ms 48.7% triton_mm_2945 0.0552 ms 45.5% triton_mm_2949 0.0572 ms 44.0% triton_mm_2939 0.0617 ms 40.8% SingleProcess AUTOTUNE benchmarking takes 2.1122 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1764 ms 100.0% triton_mm_3121 0.1890 ms 93.3% triton_mm_3122 0.1950 ms 90.5% triton_mm_3123 0.1996 ms 88.4% triton_mm_3116 0.2416 ms 73.0% triton_mm_3117 0.2535 ms 69.6% triton_mm_3119 0.2632 ms 67.0% triton_mm_3115 0.2654 ms 66.5% triton_mm_3118 0.2750 ms 64.1% triton_mm_3114 0.2793 ms 63.2% SingleProcess AUTOTUNE benchmarking takes 2.5138 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0763 ms 100.0% triton_mm_3085 0.0989 ms 77.1% triton_mm_3078 0.1043 ms 73.1% triton_mm_3084 0.1084 ms 70.4% triton_mm_3076 0.1170 ms 65.2% triton_mm_3075 0.1173 ms 65.0% triton_mm_3080 0.1194 ms 63.9% triton_mm_3083 0.1224 ms 62.3% triton_mm_3079 0.1262 ms 60.4% triton_mm_3074 0.1305 ms 58.4% SingleProcess AUTOTUNE benchmarking takes 2.4234 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0665 ms 100.0% triton_mm_3064 0.0671 ms 99.1% triton_mm_3065 0.0716 ms 92.9% triton_mm_3059 0.0814 ms 81.7% triton_mm_3061 0.0831 ms 80.1% triton_mm_3057 0.0833 ms 79.9% triton_mm_3066 0.0837 ms 79.5% triton_mm_3058 0.0884 ms 75.3% triton_mm_3062 0.0898 ms 74.1% triton_mm_3060 0.1000 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.4122 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1754 ms 100.0% triton_mm_3102 0.1781 ms 98.5% triton_mm_3103 0.1847 ms 95.0% triton_mm_3104 0.1906 ms 92.0% triton_mm_3097 0.2221 ms 79.0% triton_mm_3095 0.2294 ms 76.4% triton_mm_3098 0.2358 ms 74.4% triton_mm_3099 0.2370 ms 74.0% triton_mm_3096 0.2463 ms 71.2% triton_mm_3100 0.2516 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.5033 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_3147 0.0160 ms 100.0% triton_mm_3153 0.0162 ms 99.2% triton_mm_3152 0.0163 ms 98.2% triton_mm_3146 0.0166 ms 96.7% triton_mm_3149 0.0173 ms 92.6% triton_mm_3150 0.0174 ms 92.2% triton_mm_3155 0.0176 ms 91.1% triton_mm_3156 0.0178 ms 89.9% triton_mm_3151 0.0181 ms 88.6% triton_mm_3154 0.0181 ms 88.4% SingleProcess AUTOTUNE benchmarking takes 2.1676 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2444 ms 100.0% triton_mm_3231 0.2815 ms 86.8% triton_mm_3232 0.2904 ms 84.1% triton_mm_3233 0.2954 ms 82.7% triton_mm_3226 0.3001 ms 81.4% triton_mm_3228 0.3206 ms 76.2% triton_mm_3224 0.3214 ms 76.0% triton_mm_3227 0.3216 ms 76.0% triton_mm_3229 0.3351 ms 72.9% triton_mm_3225 0.3383 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5439 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_3128 0.0252 ms 100.0% mm 0.0265 ms 95.0% triton_mm_3132 0.0310 ms 81.2% triton_mm_3136 0.0381 ms 66.1% triton_mm_3127 0.0481 ms 52.3% triton_mm_3140 0.0493 ms 51.0% triton_mm_3126 0.0517 ms 48.7% triton_mm_3131 0.0561 ms 44.8% triton_mm_3135 0.0581 ms 43.3% triton_mm_3125 0.0616 ms 40.8% SingleProcess AUTOTUNE benchmarking takes 2.1004 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0909 ms 100.0% triton_mm_3271 0.0979 ms 92.8% triton_mm_3264 0.1030 ms 88.2% triton_mm_3270 0.1075 ms 84.5% triton_mm_3262 0.1160 ms 78.3% triton_mm_3261 0.1165 ms 78.0% triton_mm_3266 0.1198 ms 75.8% triton_mm_3269 0.1220 ms 74.5% triton_mm_3265 0.1257 ms 72.3% triton_mm_3260 0.1291 ms 70.4% SingleProcess AUTOTUNE benchmarking takes 2.4204 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0653 ms 100.0% triton_mm_3250 0.0661 ms 98.7% triton_mm_3251 0.0704 ms 92.8% triton_mm_3245 0.0811 ms 80.5% triton_mm_3243 0.0821 ms 79.5% triton_mm_3252 0.0831 ms 78.6% triton_mm_3247 0.0831 ms 78.6% triton_mm_3244 0.0870 ms 75.1% triton_mm_3248 0.0889 ms 73.5% triton_mm_3246 0.0998 ms 65.4% SingleProcess AUTOTUNE benchmarking takes 2.4171 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1756 ms 100.0% triton_mm_3288 0.1785 ms 98.4% triton_mm_3289 0.1853 ms 94.8% triton_mm_3290 0.1896 ms 92.6% triton_mm_3283 0.2227 ms 78.9% triton_mm_3281 0.2299 ms 76.4% triton_mm_3284 0.2364 ms 74.3% triton_mm_3285 0.2395 ms 73.3% triton_mm_3282 0.2455 ms 71.5% triton_mm_3286 0.2524 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5052 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2435 ms 100.0% triton_mm_3417 0.2820 ms 86.3% triton_mm_3418 0.2913 ms 83.6% triton_mm_3419 0.2941 ms 82.8% triton_mm_3412 0.3009 ms 80.9% triton_mm_3410 0.3189 ms 76.3% triton_mm_3414 0.3207 ms 75.9% triton_mm_3413 0.3208 ms 75.9% triton_mm_3415 0.3344 ms 72.8% triton_mm_3411 0.3386 ms 71.9% SingleProcess AUTOTUNE benchmarking takes 2.5450 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_3314 0.0251 ms 100.0% mm 0.0262 ms 95.6% triton_mm_3318 0.0310 ms 81.0% triton_mm_3322 0.0389 ms 64.5% triton_mm_3313 0.0480 ms 52.2% triton_mm_3326 0.0490 ms 51.2% triton_mm_3312 0.0518 ms 48.5% triton_mm_3317 0.0553 ms 45.4% triton_mm_3321 0.0572 ms 43.9% triton_mm_3311 0.0617 ms 40.7% SingleProcess AUTOTUNE benchmarking takes 2.1158 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0762 ms 100.0% triton_mm_3457 0.0991 ms 76.9% triton_mm_3450 0.1034 ms 73.7% triton_mm_3456 0.1084 ms 70.3% triton_mm_3448 0.1162 ms 65.6% triton_mm_3447 0.1168 ms 65.3% triton_mm_3452 0.1201 ms 63.5% triton_mm_3455 0.1230 ms 61.9% triton_mm_3451 0.1260 ms 60.5% triton_mm_3446 0.1305 ms 58.4% SingleProcess AUTOTUNE benchmarking takes 2.4349 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0653 ms 100.0% triton_mm_3436 0.0662 ms 98.6% triton_mm_3437 0.0704 ms 92.8% triton_mm_3431 0.0820 ms 79.7% triton_mm_3438 0.0832 ms 78.5% triton_mm_3433 0.0832 ms 78.5% triton_mm_3429 0.0832 ms 78.5% triton_mm_3430 0.0880 ms 74.2% triton_mm_3434 0.0889 ms 73.4% triton_mm_3432 0.1002 ms 65.2% SingleProcess AUTOTUNE benchmarking takes 2.4289 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1754 ms 100.0% triton_mm_3474 0.1781 ms 98.5% triton_mm_3475 0.1846 ms 95.0% triton_mm_3476 0.1908 ms 91.9% triton_mm_3469 0.2218 ms 79.1% triton_mm_3467 0.2295 ms 76.4% triton_mm_3470 0.2355 ms 74.5% triton_mm_3471 0.2386 ms 73.5% triton_mm_3468 0.2462 ms 71.2% triton_mm_3472 0.2514 ms 69.7% SingleProcess AUTOTUNE benchmarking takes 2.5149 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1024) mm 0.1353 ms 100.0% triton_mm_3638 0.1580 ms 85.7% triton_mm_3634 0.1599 ms 84.6% triton_mm_3636 0.1657 ms 81.7% triton_mm_3641 0.1752 ms 77.2% triton_mm_3637 0.1857 ms 72.9% triton_mm_3642 0.1884 ms 71.8% triton_mm_3643 0.1902 ms 71.2% triton_mm_3633 0.1981 ms 68.3% triton_mm_3639 0.1982 ms 68.3% SingleProcess AUTOTUNE benchmarking takes 9.7811 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_3500 0.0263 ms 100.0% mm 0.0264 ms 99.5% triton_mm_3504 0.0315 ms 83.6% triton_mm_3508 0.0394 ms 66.7% triton_mm_3512 0.0487 ms 54.0% triton_mm_3499 0.0491 ms 53.6% triton_mm_3498 0.0526 ms 50.0% triton_mm_3503 0.0558 ms 47.2% triton_mm_3507 0.0587 ms 44.8% triton_mm_3497 0.0617 ms 42.6% SingleProcess AUTOTUNE benchmarking takes 2.0956 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1024) mm 0.1195 ms 100.0% triton_mm_3622 0.1220 ms 98.0% triton_mm_3623 0.1257 ms 95.1% triton_mm_3624 0.1301 ms 91.9% triton_mm_3617 0.1515 ms 78.9% triton_mm_3615 0.1526 ms 78.3% triton_mm_3619 0.1541 ms 77.6% triton_mm_3616 0.1647 ms 72.6% triton_mm_3618 0.1649 ms 72.5% triton_mm_3620 0.1677 ms 71.3% SingleProcess AUTOTUNE benchmarking takes 10.0105 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2437 ms 100.0% triton_mm_3717 0.2819 ms 86.5% triton_mm_3718 0.2918 ms 83.5% triton_mm_3719 0.2941 ms 82.9% triton_mm_3712 0.2997 ms 81.3% triton_mm_3714 0.3185 ms 76.5% triton_mm_3710 0.3197 ms 76.2% triton_mm_3713 0.3204 ms 76.1% triton_mm_3715 0.3331 ms 73.2% triton_mm_3711 0.3371 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5391 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0766 ms 100.0% triton_mm_3757 0.0988 ms 77.6% triton_mm_3750 0.1044 ms 73.3% triton_mm_3756 0.1083 ms 70.7% triton_mm_3747 0.1170 ms 65.5% triton_mm_3748 0.1171 ms 65.4% triton_mm_3752 0.1211 ms 63.2% triton_mm_3755 0.1228 ms 62.4% triton_mm_3751 0.1253 ms 61.1% triton_mm_3746 0.1296 ms 59.1% SingleProcess AUTOTUNE benchmarking takes 2.4241 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0659 ms 100.0% triton_mm_3736 0.0667 ms 98.9% triton_mm_3737 0.0708 ms 93.0% triton_mm_3731 0.0824 ms 80.0% triton_mm_3729 0.0828 ms 79.6% triton_mm_3733 0.0836 ms 78.9% triton_mm_3738 0.0837 ms 78.8% triton_mm_3730 0.0877 ms 75.2% triton_mm_3734 0.0893 ms 73.8% triton_mm_3732 0.1008 ms 65.4% SingleProcess AUTOTUNE benchmarking takes 2.4142 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1754 ms 100.0% triton_mm_3774 0.1784 ms 98.3% triton_mm_3775 0.1849 ms 94.8% triton_mm_3776 0.1889 ms 92.9% triton_mm_3769 0.2223 ms 78.9% triton_mm_3767 0.2285 ms 76.7% triton_mm_3770 0.2359 ms 74.3% triton_mm_3771 0.2390 ms 73.4% triton_mm_3768 0.2458 ms 71.3% triton_mm_3772 0.2525 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.5043 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2455 ms 100.0% triton_mm_3903 0.2815 ms 87.2% triton_mm_3904 0.2915 ms 84.2% triton_mm_3905 0.2934 ms 83.7% triton_mm_3898 0.2990 ms 82.1% triton_mm_3896 0.3178 ms 77.3% triton_mm_3900 0.3182 ms 77.2% triton_mm_3899 0.3184 ms 77.1% triton_mm_3901 0.3326 ms 73.8% triton_mm_3897 0.3368 ms 72.9% SingleProcess AUTOTUNE benchmarking takes 2.5329 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) mm 0.0266 ms 100.0% triton_mm_3800 0.0267 ms 99.6% triton_mm_3804 0.0315 ms 84.3% triton_mm_3808 0.0385 ms 69.1% triton_mm_3812 0.0486 ms 54.7% triton_mm_3799 0.0495 ms 53.7% triton_mm_3798 0.0535 ms 49.6% triton_mm_3803 0.0562 ms 47.3% triton_mm_3807 0.0592 ms 44.8% triton_mm_3797 0.0614 ms 43.3% SingleProcess AUTOTUNE benchmarking takes 2.0931 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1755 ms 100.0% triton_mm_3960 0.1780 ms 98.6% triton_mm_3961 0.1845 ms 95.1% triton_mm_3962 0.1886 ms 93.1% triton_mm_3955 0.2208 ms 79.5% triton_mm_3953 0.2284 ms 76.8% triton_mm_3956 0.2358 ms 74.4% triton_mm_3957 0.2368 ms 74.1% triton_mm_3954 0.2440 ms 71.9% triton_mm_3958 0.2515 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5022 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6840, 6840x28) mm 0.0308 ms 100.0% triton_mm_4771 0.0462 ms 66.6% triton_mm_4764 0.0482 ms 63.8% triton_mm_4762 0.0564 ms 54.6% triton_mm_4763 0.0627 ms 49.0% triton_mm_4770 0.0685 ms 44.9% triton_mm_4761 0.0704 ms 43.7% triton_mm_4767 0.0705 ms 43.6% triton_mm_4776 0.0731 ms 42.1% triton_mm_4769 0.0770 ms 40.0% SingleProcess AUTOTUNE benchmarking takes 6.5976 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, 28x1024) triton_mm_7 0.0243 ms 100.0% triton_mm_6 0.0255 ms 95.2% triton_mm_9 0.0257 ms 94.6% triton_mm_8 0.0263 ms 92.5% triton_mm_11 0.0265 ms 91.7% triton_mm_12 0.0265 ms 91.7% triton_mm_4 0.0271 ms 89.7% triton_mm_3 0.0271 ms 89.6% triton_mm_16 0.0274 ms 88.7% triton_mm_10 0.0278 ms 87.4% SingleProcess AUTOTUNE benchmarking takes 2.0473 seconds and 0.0196 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_29 0.0198 ms 100.0% triton_mm_25 0.0209 ms 94.8% triton_mm_21 0.0210 ms 94.4% triton_mm_33 0.0210 ms 94.4% triton_mm_18 0.0212 ms 93.5% triton_mm_24 0.0212 ms 93.4% triton_mm_28 0.0221 ms 89.6% triton_mm_19 0.0226 ms 87.9% triton_mm_20 0.0227 ms 87.6% bias_addmm 0.0227 ms 87.3% SingleProcess AUTOTUNE benchmarking takes 2.1818 seconds and 0.0008 seconds precompiling AUTOTUNE addmm(6864x3072, 6864x1024, 1024x3072) triton_mm_50 0.1945 ms 100.0% triton_mm_51 0.1997 ms 97.4% bias_addmm 0.2222 ms 87.5% triton_mm_43 0.2413 ms 80.6% triton_mm_45 0.2417 ms 80.5% triton_mm_47 0.2432 ms 80.0% triton_mm_52 0.2435 ms 79.9% triton_mm_44 0.2687 ms 72.4% triton_mm_48 0.2732 ms 71.2% addmm 0.2932 ms 66.3% SingleProcess AUTOTUNE benchmarking takes 2.6387 seconds and 0.0175 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x1024, 1024x1024) bias_addmm 0.0689 ms 100.0% triton_mm_69 0.0703 ms 98.0% triton_mm_70 0.0713 ms 96.6% triton_mm_62 0.0849 ms 81.2% triton_mm_66 0.0851 ms 80.9% triton_mm_71 0.0865 ms 79.7% triton_mm_64 0.0870 ms 79.2% addmm 0.0938 ms 73.4% triton_mm_63 0.0945 ms 72.9% triton_mm_67 0.0962 ms 71.6% SingleProcess AUTOTUNE benchmarking takes 2.5165 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x4096, 6864x1024, 1024x4096) triton_mm_88 0.2601 ms 100.0% triton_mm_89 0.2648 ms 98.2% bias_addmm 0.2945 ms 88.3% triton_mm_83 0.3117 ms 83.4% triton_mm_81 0.3187 ms 81.6% triton_mm_85 0.3221 ms 80.7% triton_mm_90 0.3227 ms 80.6% addmm 0.3483 ms 74.7% triton_mm_82 0.3550 ms 73.2% triton_mm_86 0.3647 ms 71.3% SingleProcess AUTOTUNE benchmarking takes 2.6845 seconds and 0.0089 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x4096, 4096x1024) triton_mm_108 0.2379 ms 100.0% triton_mm_107 0.2408 ms 98.8% bias_addmm 0.2482 ms 95.9% triton_mm_109 0.2553 ms 93.2% addmm 0.2628 ms 90.5% triton_mm_100 0.3049 ms 78.0% triton_mm_104 0.3052 ms 78.0% triton_mm_102 0.3087 ms 77.1% triton_mm_103 0.3188 ms 74.6% triton_mm_105 0.3445 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.6529 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_122 0.0200 ms 100.0% triton_mm_114 0.0209 ms 95.4% triton_mm_126 0.0210 ms 95.1% triton_mm_118 0.0211 ms 94.8% triton_mm_111 0.0220 ms 90.6% triton_mm_121 0.0221 ms 90.3% triton_mm_117 0.0221 ms 90.2% triton_mm_113 0.0226 ms 88.4% bias_addmm 0.0227 ms 88.1% triton_mm_112 0.0234 ms 85.4% SingleProcess AUTOTUNE benchmarking takes 2.2074 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_215 0.0209 ms 100.0% triton_mm_219 0.0210 ms 99.5% triton_mm_211 0.0211 ms 98.9% triton_mm_204 0.0212 ms 98.3% triton_mm_207 0.0214 ms 97.5% triton_mm_210 0.0220 ms 94.8% triton_mm_205 0.0225 ms 92.8% triton_mm_206 0.0226 ms 92.4% triton_mm_214 0.0228 ms 91.5% triton_mm_217 0.0252 ms 83.1% SingleProcess AUTOTUNE benchmarking takes 2.1840 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_308 0.0209 ms 100.0% triton_mm_304 0.0210 ms 99.5% triton_mm_312 0.0211 ms 99.1% triton_mm_297 0.0212 ms 98.2% triton_mm_303 0.0212 ms 98.2% triton_mm_300 0.0214 ms 97.3% triton_mm_307 0.0221 ms 94.4% triton_mm_299 0.0226 ms 92.2% triton_mm_298 0.0234 ms 89.3% triton_mm_310 0.0243 ms 85.8% SingleProcess AUTOTUNE benchmarking takes 2.1983 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_401 0.0208 ms 100.0% triton_mm_405 0.0210 ms 99.2% triton_mm_397 0.0210 ms 99.1% triton_mm_396 0.0212 ms 98.0% triton_mm_393 0.0215 ms 97.0% triton_mm_390 0.0220 ms 94.5% triton_mm_391 0.0225 ms 92.5% triton_mm_392 0.0226 ms 92.2% triton_mm_400 0.0229 ms 91.1% triton_mm_403 0.0243 ms 85.9% SingleProcess AUTOTUNE benchmarking takes 2.1974 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1024, 1024x2048) triton_mm_591 0.1295 ms 100.0% triton_mm_592 0.1335 ms 97.0% bias_addmm 0.1529 ms 84.7% triton_mm_586 0.1580 ms 82.0% triton_mm_588 0.1611 ms 80.4% triton_mm_584 0.1613 ms 80.3% triton_mm_593 0.1640 ms 78.9% addmm 0.1766 ms 73.3% triton_mm_585 0.1778 ms 72.8% triton_mm_589 0.1804 ms 71.8% SingleProcess AUTOTUNE benchmarking takes 2.5723 seconds and 0.0973 seconds precompiling AUTOTUNE mm(24x1024, 1024x2048) triton_mm_1570 0.0132 ms 100.0% triton_mm_1566 0.0137 ms 97.0% triton_mm_1574 0.0151 ms 87.5% mm 0.0163 ms 81.2% triton_mm_1578 0.0165 ms 80.2% triton_mm_1569 0.0167 ms 79.5% triton_mm_1565 0.0173 ms 76.4% triton_mm_1564 0.0182 ms 72.7% triton_mm_1576 0.0187 ms 70.8% triton_mm_1573 0.0188 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.2628 seconds and 0.0063 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1024, 1024x32768) bias_addmm 1.9522 ms 100.0% triton_mm_1595 2.0917 ms 93.3% triton_mm_1596 2.0933 ms 93.3% triton_mm_1590 2.5388 ms 76.9% triton_mm_1597 2.5569 ms 76.4% triton_mm_1592 2.6019 ms 75.0% addmm 2.6565 ms 73.5% triton_mm_1588 2.6749 ms 73.0% triton_mm_1593 2.9380 ms 66.4% triton_mm_1589 2.9520 ms 66.1% SingleProcess AUTOTUNE benchmarking takes 3.0979 seconds and 0.0010 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, 6864x1024) triton_mm_1633 1.8379 ms 100.0% triton_mm_1634 1.9037 ms 96.5% mm 1.9852 ms 92.6% triton_mm_1635 2.0085 ms 91.5% triton_mm_1628 2.3997 ms 76.6% triton_mm_1626 2.4056 ms 76.4% triton_mm_1630 2.4921 ms 73.7% triton_mm_1629 2.5801 ms 71.2% triton_mm_1631 2.6053 ms 70.5% triton_mm_1627 2.6307 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.8720 seconds and 0.0148 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_1686 0.2437 ms 100.0% mm 0.2472 ms 98.6% triton_mm_1687 0.2582 ms 94.4% triton_mm_1681 0.2959 ms 82.4% triton_mm_1679 0.2962 ms 82.3% triton_mm_1683 0.3004 ms 81.1% triton_mm_1688 0.3041 ms 80.2% triton_mm_1680 0.3257 ms 74.8% triton_mm_1684 0.3350 ms 72.8% triton_mm_1682 0.3548 ms 68.7% SingleProcess AUTOTUNE benchmarking takes 9.9228 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2277 ms 100.0% triton_mm_1724 0.2318 ms 98.2% triton_mm_1725 0.2392 ms 95.2% triton_mm_1726 0.2461 ms 92.5% triton_mm_1719 0.2892 ms 78.7% triton_mm_1721 0.2946 ms 77.3% triton_mm_1717 0.2968 ms 76.7% triton_mm_1720 0.3022 ms 75.3% triton_mm_1718 0.3219 ms 70.7% triton_mm_1722 0.3306 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 9.4963 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2422 ms 100.0% triton_mm_1705 0.2786 ms 86.9% triton_mm_1706 0.2868 ms 84.4% triton_mm_1707 0.2904 ms 83.4% triton_mm_1700 0.3004 ms 80.6% triton_mm_1702 0.3153 ms 76.8% triton_mm_1698 0.3174 ms 76.3% triton_mm_1701 0.3188 ms 76.0% triton_mm_1703 0.3311 ms 73.2% triton_mm_1699 0.3387 ms 71.5% SingleProcess AUTOTUNE benchmarking takes 2.5421 seconds and 0.0008 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2428 ms 100.0% triton_mm_1743 0.2793 ms 86.9% triton_mm_1744 0.2892 ms 84.0% triton_mm_1745 0.2933 ms 82.8% triton_mm_1738 0.2985 ms 81.4% triton_mm_1736 0.3161 ms 76.8% triton_mm_1740 0.3169 ms 76.6% triton_mm_1739 0.3186 ms 76.2% triton_mm_1741 0.3319 ms 73.2% triton_mm_1737 0.3352 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 2.5420 seconds and 0.0010 seconds precompiling AUTOTUNE mm(2048x24, 24x1024) triton_mm_1658 0.0107 ms 100.0% triton_mm_1661 0.0107 ms 100.0% triton_mm_1660 0.0109 ms 98.2% triton_mm_1662 0.0112 ms 95.4% triton_mm_1659 0.0112 ms 95.2% triton_mm_1668 0.0117 ms 91.0% triton_mm_1655 0.0120 ms 89.3% triton_mm_1664 0.0120 ms 88.9% triton_mm_1657 0.0122 ms 87.9% triton_mm_1665 0.0122 ms 87.9% SingleProcess AUTOTUNE benchmarking takes 2.1495 seconds and 0.0009 seconds precompiling AUTOTUNE mm(24x2048, 2048x1024) triton_mm_1640 0.0148 ms 100.0% mm 0.0162 ms 90.9% triton_mm_1644 0.0200 ms 73.8% triton_mm_1639 0.0211 ms 70.0% triton_mm_1652 0.0215 ms 68.7% triton_mm_1638 0.0226 ms 65.4% triton_mm_1648 0.0234 ms 63.0% triton_mm_1643 0.0236 ms 62.4% triton_mm_1637 0.0247 ms 59.6% triton_mm_1647 0.0252 ms 58.7% SingleProcess AUTOTUNE benchmarking takes 2.1396 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1024) mm 1.7329 ms 100.0% triton_mm_1614 1.8676 ms 92.8% triton_mm_1615 1.8921 ms 91.6% triton_mm_1616 1.9448 ms 89.1% triton_mm_1609 2.4652 ms 70.3% triton_mm_1607 2.5244 ms 68.6% triton_mm_1610 2.5324 ms 68.4% triton_mm_1608 2.6110 ms 66.4% triton_mm_1612 2.6831 ms 64.6% triton_mm_1611 2.6840 ms 64.6% SingleProcess AUTOTUNE benchmarking takes 2.9267 seconds and 0.0010 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) triton_mm_1819 0.1863 ms 100.0% triton_mm_1820 0.1923 ms 96.9% triton_mm_1821 0.1951 ms 95.5% mm 0.2114 ms 88.1% triton_mm_1814 0.2387 ms 78.1% triton_mm_1815 0.2507 ms 74.3% triton_mm_1817 0.2600 ms 71.6% triton_mm_1813 0.2623 ms 71.0% triton_mm_1812 0.2698 ms 69.0% triton_mm_1816 0.2709 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.4994 seconds and 0.0008 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0750 ms 100.0% triton_mm_1783 0.0981 ms 76.5% triton_mm_1776 0.1034 ms 72.6% triton_mm_1782 0.1082 ms 69.3% triton_mm_1774 0.1155 ms 65.0% triton_mm_1773 0.1169 ms 64.2% triton_mm_1778 0.1198 ms 62.6% triton_mm_1781 0.1220 ms 61.5% triton_mm_1777 0.1262 ms 59.5% triton_mm_1772 0.1296 ms 57.9% SingleProcess AUTOTUNE benchmarking takes 2.4282 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0675 ms 100.0% triton_mm_1762 0.0677 ms 99.6% triton_mm_1763 0.0710 ms 95.0% triton_mm_1757 0.0812 ms 83.1% triton_mm_1755 0.0825 ms 81.8% triton_mm_1759 0.0832 ms 81.1% triton_mm_1764 0.0835 ms 80.8% triton_mm_1756 0.0875 ms 77.1% triton_mm_1760 0.0892 ms 75.7% triton_mm_1758 0.1015 ms 66.4% SingleProcess AUTOTUNE benchmarking takes 2.4135 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1723 ms 100.0% triton_mm_1800 0.1753 ms 98.3% triton_mm_1801 0.1822 ms 94.5% triton_mm_1802 0.1882 ms 91.5% triton_mm_1795 0.2185 ms 78.8% triton_mm_1793 0.2262 ms 76.1% triton_mm_1797 0.2324 ms 74.1% triton_mm_1796 0.2334 ms 73.8% triton_mm_1794 0.2427 ms 71.0% triton_mm_1798 0.2496 ms 69.0% SingleProcess AUTOTUNE benchmarking takes 2.5055 seconds and 0.0010 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_1872 0.2447 ms 100.0% triton_mm_1873 0.2598 ms 94.2% mm 0.2867 ms 85.4% triton_mm_1865 0.2966 ms 82.5% triton_mm_1867 0.2988 ms 81.9% triton_mm_1869 0.3032 ms 80.7% triton_mm_1874 0.3063 ms 79.9% triton_mm_1866 0.3279 ms 74.6% triton_mm_1870 0.3372 ms 72.6% triton_mm_1868 0.3604 ms 67.9% SingleProcess AUTOTUNE benchmarking takes 2.5159 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_1850 0.0162 ms 100.0% triton_mm_1851 0.0168 ms 95.9% triton_mm_1852 0.0169 ms 95.8% triton_mm_1854 0.0169 ms 95.6% triton_mm_1845 0.0170 ms 94.8% triton_mm_1848 0.0171 ms 94.6% triton_mm_1847 0.0172 ms 94.2% triton_mm_1846 0.0172 ms 93.9% triton_mm_1855 0.0174 ms 92.7% triton_mm_1844 0.0177 ms 91.3% SingleProcess AUTOTUNE benchmarking takes 5.6797 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2442 ms 100.0% triton_mm_1891 0.2776 ms 88.0% triton_mm_1892 0.2863 ms 85.3% triton_mm_1893 0.2894 ms 84.4% triton_mm_1886 0.2992 ms 81.6% triton_mm_1888 0.3156 ms 77.4% triton_mm_1884 0.3159 ms 77.3% triton_mm_1887 0.3183 ms 76.7% triton_mm_1889 0.3290 ms 74.2% triton_mm_1885 0.3370 ms 72.5% SingleProcess AUTOTUNE benchmarking takes 2.5249 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2431 ms 100.0% triton_mm_1929 0.2790 ms 87.2% triton_mm_1930 0.2882 ms 84.4% triton_mm_1931 0.2910 ms 83.5% triton_mm_1924 0.2988 ms 81.4% triton_mm_1926 0.3148 ms 77.2% triton_mm_1922 0.3164 ms 76.8% triton_mm_1925 0.3174 ms 76.6% triton_mm_1927 0.3314 ms 73.4% triton_mm_1923 0.3349 ms 72.6% SingleProcess AUTOTUNE benchmarking takes 2.5336 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_1826 0.0260 ms 100.0% mm 0.0263 ms 98.9% triton_mm_1830 0.0318 ms 81.8% triton_mm_1834 0.0390 ms 66.7% triton_mm_1825 0.0479 ms 54.3% triton_mm_1838 0.0481 ms 54.1% triton_mm_1824 0.0528 ms 49.3% triton_mm_1829 0.0558 ms 46.7% triton_mm_1833 0.0580 ms 44.9% triton_mm_1823 0.0610 ms 42.7% SingleProcess AUTOTUNE benchmarking takes 2.0919 seconds and 0.0009 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1768 ms 100.0% triton_mm_2005 0.1862 ms 94.9% triton_mm_2006 0.1926 ms 91.8% triton_mm_2007 0.1965 ms 90.0% triton_mm_2000 0.2394 ms 73.9% triton_mm_2001 0.2520 ms 70.1% triton_mm_2003 0.2597 ms 68.1% triton_mm_1999 0.2635 ms 67.1% triton_mm_1998 0.2703 ms 65.4% triton_mm_2002 0.2730 ms 64.8% SingleProcess AUTOTUNE benchmarking takes 2.5091 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0759 ms 100.0% triton_mm_1969 0.0986 ms 77.0% triton_mm_1962 0.1040 ms 73.0% triton_mm_1968 0.1077 ms 70.5% triton_mm_1960 0.1162 ms 65.3% triton_mm_1959 0.1169 ms 64.9% triton_mm_1964 0.1204 ms 63.1% triton_mm_1967 0.1212 ms 62.6% triton_mm_1963 0.1254 ms 60.5% triton_mm_1965 0.1301 ms 58.3% SingleProcess AUTOTUNE benchmarking takes 2.4134 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0666 ms 100.0% triton_mm_1948 0.0670 ms 99.3% triton_mm_1949 0.0709 ms 93.8% triton_mm_1943 0.0821 ms 81.1% triton_mm_1941 0.0825 ms 80.7% triton_mm_1945 0.0831 ms 80.1% triton_mm_1950 0.0835 ms 79.8% triton_mm_1942 0.0875 ms 76.1% triton_mm_1946 0.0892 ms 74.7% triton_mm_1944 0.1009 ms 66.0% SingleProcess AUTOTUNE benchmarking takes 2.4004 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1731 ms 100.0% triton_mm_1986 0.1753 ms 98.7% triton_mm_1987 0.1832 ms 94.5% triton_mm_1988 0.1878 ms 92.1% triton_mm_1981 0.2196 ms 78.8% triton_mm_1979 0.2274 ms 76.1% triton_mm_1983 0.2323 ms 74.5% triton_mm_1982 0.2338 ms 74.0% triton_mm_1980 0.2432 ms 71.2% triton_mm_1984 0.2496 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5075 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_2058 0.2451 ms 100.0% mm 0.2469 ms 99.3% triton_mm_2059 0.2603 ms 94.2% triton_mm_2051 0.2969 ms 82.6% triton_mm_2053 0.2982 ms 82.2% triton_mm_2055 0.3036 ms 80.7% triton_mm_2060 0.3063 ms 80.0% triton_mm_2052 0.3282 ms 74.7% triton_mm_2056 0.3374 ms 72.6% triton_mm_2054 0.3597 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.5343 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2034 0.0161 ms 100.0% triton_mm_2033 0.0162 ms 99.6% triton_mm_2035 0.0169 ms 95.6% triton_mm_2030 0.0171 ms 94.6% triton_mm_2031 0.0171 ms 94.4% triton_mm_2037 0.0171 ms 94.2% triton_mm_2036 0.0172 ms 93.9% triton_mm_2032 0.0172 ms 93.7% triton_mm_2039 0.0174 ms 92.5% triton_mm_2041 0.0174 ms 92.5% SingleProcess AUTOTUNE benchmarking takes 2.1541 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1742 ms 100.0% triton_mm_2172 0.1757 ms 99.2% triton_mm_2173 0.1820 ms 95.7% triton_mm_2174 0.1886 ms 92.4% triton_mm_2167 0.2204 ms 79.0% triton_mm_2165 0.2267 ms 76.9% triton_mm_2169 0.2313 ms 75.3% triton_mm_2168 0.2330 ms 74.8% triton_mm_2166 0.2437 ms 71.5% triton_mm_2170 0.2484 ms 70.2% SingleProcess AUTOTUNE benchmarking takes 2.5059 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_2244 0.2444 ms 100.0% mm 0.2466 ms 99.1% triton_mm_2245 0.2595 ms 94.2% triton_mm_2237 0.2979 ms 82.0% triton_mm_2239 0.2981 ms 82.0% triton_mm_2241 0.3036 ms 80.5% triton_mm_2246 0.3071 ms 79.6% triton_mm_2238 0.3294 ms 74.2% triton_mm_2242 0.3368 ms 72.6% triton_mm_2240 0.3602 ms 67.9% SingleProcess AUTOTUNE benchmarking takes 2.5335 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2217 0.0162 ms 100.0% triton_mm_2224 0.0169 ms 96.0% triton_mm_2216 0.0171 ms 94.9% triton_mm_2222 0.0171 ms 94.9% triton_mm_2223 0.0171 ms 94.7% triton_mm_2219 0.0172 ms 94.2% triton_mm_2220 0.0172 ms 94.2% triton_mm_2218 0.0172 ms 94.1% triton_mm_2226 0.0177 ms 91.3% triton_mm_2221 0.0179 ms 90.5% SingleProcess AUTOTUNE benchmarking takes 2.1351 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0752 ms 100.0% triton_mm_2341 0.0989 ms 76.1% triton_mm_2334 0.1033 ms 72.8% triton_mm_2340 0.1077 ms 69.8% triton_mm_2332 0.1161 ms 64.8% triton_mm_2331 0.1168 ms 64.4% triton_mm_2336 0.1199 ms 62.8% triton_mm_2339 0.1228 ms 61.2% triton_mm_2335 0.1258 ms 59.8% triton_mm_2330 0.1295 ms 58.1% SingleProcess AUTOTUNE benchmarking takes 2.4345 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) triton_mm_2320 0.0661 ms 100.0% mm 0.0666 ms 99.4% triton_mm_2321 0.0705 ms 93.8% triton_mm_2315 0.0817 ms 80.9% triton_mm_2313 0.0823 ms 80.4% triton_mm_2317 0.0826 ms 80.1% triton_mm_2322 0.0833 ms 79.4% triton_mm_2314 0.0871 ms 76.0% triton_mm_2318 0.0888 ms 74.5% triton_mm_2316 0.1008 ms 65.6% SingleProcess AUTOTUNE benchmarking takes 2.4334 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1732 ms 100.0% triton_mm_2358 0.1750 ms 99.0% triton_mm_2359 0.1827 ms 94.8% triton_mm_2360 0.1871 ms 92.6% triton_mm_2353 0.2200 ms 78.7% triton_mm_2351 0.2268 ms 76.4% triton_mm_2355 0.2338 ms 74.1% triton_mm_2354 0.2346 ms 73.8% triton_mm_2352 0.2428 ms 71.3% triton_mm_2356 0.2497 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5134 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2408 0.0162 ms 100.0% triton_mm_2409 0.0162 ms 100.0% triton_mm_2403 0.0162 ms 99.8% triton_mm_2412 0.0169 ms 95.6% triton_mm_2407 0.0170 ms 95.3% triton_mm_2405 0.0171 ms 94.7% triton_mm_2406 0.0172 ms 94.0% triton_mm_2402 0.0178 ms 90.7% triton_mm_2410 0.0178 ms 90.7% triton_mm_2404 0.0180 ms 89.7% SingleProcess AUTOTUNE benchmarking takes 2.1517 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) triton_mm_2506 0.0662 ms 100.0% mm 0.0667 ms 99.3% triton_mm_2507 0.0705 ms 93.8% triton_mm_2501 0.0810 ms 81.7% triton_mm_2503 0.0821 ms 80.6% triton_mm_2499 0.0822 ms 80.5% triton_mm_2508 0.0833 ms 79.4% triton_mm_2500 0.0871 ms 76.0% triton_mm_2504 0.0895 ms 73.9% triton_mm_2502 0.1016 ms 65.2% SingleProcess AUTOTUNE benchmarking takes 2.4216 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1737 ms 100.0% triton_mm_2544 0.1760 ms 98.7% triton_mm_2545 0.1831 ms 94.9% triton_mm_2546 0.1877 ms 92.6% triton_mm_2539 0.2196 ms 79.1% triton_mm_2537 0.2265 ms 76.7% triton_mm_2541 0.2322 ms 74.8% triton_mm_2540 0.2348 ms 74.0% triton_mm_2538 0.2430 ms 71.5% triton_mm_2542 0.2487 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5066 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2592 0.0162 ms 100.0% triton_mm_2594 0.0162 ms 100.0% triton_mm_2595 0.0162 ms 100.0% triton_mm_2591 0.0170 ms 94.8% triton_mm_2589 0.0172 ms 94.2% triton_mm_2597 0.0174 ms 92.7% triton_mm_2599 0.0174 ms 92.7% triton_mm_2598 0.0177 ms 91.5% triton_mm_2588 0.0177 ms 91.3% triton_mm_2593 0.0179 ms 90.2% SingleProcess AUTOTUNE benchmarking takes 2.1502 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) triton_mm_2692 0.0661 ms 100.0% mm 0.0666 ms 99.4% triton_mm_2693 0.0705 ms 93.8% triton_mm_2687 0.0817 ms 80.9% triton_mm_2694 0.0825 ms 80.1% triton_mm_2689 0.0826 ms 80.1% triton_mm_2685 0.0829 ms 79.8% triton_mm_2686 0.0878 ms 75.3% triton_mm_2690 0.0887 ms 74.5% triton_mm_2688 0.1009 ms 65.6% SingleProcess AUTOTUNE benchmarking takes 2.4106 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1731 ms 100.0% triton_mm_2730 0.1758 ms 98.4% triton_mm_2731 0.1827 ms 94.7% triton_mm_2732 0.1878 ms 92.1% triton_mm_2725 0.2208 ms 78.4% triton_mm_2723 0.2265 ms 76.4% triton_mm_2727 0.2321 ms 74.6% triton_mm_2726 0.2340 ms 74.0% triton_mm_2724 0.2442 ms 70.9% triton_mm_2728 0.2493 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5035 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2781 0.0162 ms 100.0% triton_mm_2777 0.0162 ms 99.6% triton_mm_2784 0.0169 ms 95.6% triton_mm_2775 0.0170 ms 95.3% triton_mm_2780 0.0170 ms 95.3% triton_mm_2774 0.0171 ms 94.7% triton_mm_2776 0.0172 ms 93.9% triton_mm_2778 0.0172 ms 93.7% triton_mm_2783 0.0175 ms 92.5% triton_mm_2779 0.0179 ms 90.3% SingleProcess AUTOTUNE benchmarking takes 2.1605 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) triton_mm_2878 0.0662 ms 100.0% mm 0.0667 ms 99.3% triton_mm_2879 0.0705 ms 93.8% triton_mm_2873 0.0811 ms 81.6% triton_mm_2875 0.0822 ms 80.5% triton_mm_2871 0.0822 ms 80.5% triton_mm_2880 0.0825 ms 80.2% triton_mm_2872 0.0871 ms 76.0% triton_mm_2876 0.0894 ms 74.0% triton_mm_2874 0.1015 ms 65.2% SingleProcess AUTOTUNE benchmarking takes 2.4215 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1729 ms 100.0% triton_mm_2916 0.1759 ms 98.3% triton_mm_2917 0.1828 ms 94.6% triton_mm_2918 0.1889 ms 91.5% triton_mm_2911 0.2197 ms 78.7% triton_mm_2909 0.2271 ms 76.1% triton_mm_2913 0.2326 ms 74.3% triton_mm_2912 0.2344 ms 73.7% triton_mm_2910 0.2432 ms 71.1% triton_mm_2914 0.2499 ms 69.2% SingleProcess AUTOTUNE benchmarking takes 2.5066 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2967 0.0162 ms 100.0% triton_mm_2964 0.0162 ms 99.6% triton_mm_2970 0.0169 ms 95.6% triton_mm_2963 0.0172 ms 94.2% triton_mm_2961 0.0172 ms 94.0% triton_mm_2966 0.0172 ms 93.9% triton_mm_2962 0.0172 ms 93.8% triton_mm_2960 0.0178 ms 90.8% triton_mm_2965 0.0179 ms 90.3% triton_mm_2968 0.0179 ms 90.3% SingleProcess AUTOTUNE benchmarking takes 2.1468 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) triton_mm_3064 0.0661 ms 100.0% mm 0.0667 ms 99.2% triton_mm_3065 0.0705 ms 93.8% triton_mm_3059 0.0817 ms 81.0% triton_mm_3061 0.0827 ms 80.0% triton_mm_3057 0.0830 ms 79.7% triton_mm_3066 0.0833 ms 79.4% triton_mm_3058 0.0875 ms 75.6% triton_mm_3062 0.0887 ms 74.5% triton_mm_3060 0.1008 ms 65.6% SingleProcess AUTOTUNE benchmarking takes 2.4126 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1739 ms 100.0% triton_mm_3102 0.1755 ms 99.1% triton_mm_3103 0.1833 ms 94.8% triton_mm_3104 0.1878 ms 92.6% triton_mm_3097 0.2202 ms 79.0% triton_mm_3095 0.2276 ms 76.4% triton_mm_3099 0.2330 ms 74.6% triton_mm_3098 0.2348 ms 74.1% triton_mm_3096 0.2437 ms 71.3% triton_mm_3100 0.2497 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5020 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_3152 0.0162 ms 100.0% triton_mm_3153 0.0162 ms 100.0% triton_mm_3147 0.0162 ms 99.8% triton_mm_3149 0.0162 ms 99.8% triton_mm_3156 0.0169 ms 95.6% triton_mm_3151 0.0169 ms 95.5% triton_mm_3154 0.0170 ms 95.1% triton_mm_3146 0.0171 ms 94.7% triton_mm_3150 0.0171 ms 94.6% triton_mm_3157 0.0174 ms 92.7% SingleProcess AUTOTUNE benchmarking takes 2.1466 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0657 ms 100.0% triton_mm_3250 0.0669 ms 98.2% triton_mm_3251 0.0706 ms 93.2% triton_mm_3245 0.0817 ms 80.5% triton_mm_3243 0.0821 ms 80.0% triton_mm_3247 0.0827 ms 79.5% triton_mm_3252 0.0832 ms 79.0% triton_mm_3244 0.0871 ms 75.5% triton_mm_3248 0.0888 ms 74.1% triton_mm_3246 0.1009 ms 65.2% SingleProcess AUTOTUNE benchmarking takes 2.4271 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1734 ms 100.0% triton_mm_3288 0.1760 ms 98.5% triton_mm_3289 0.1830 ms 94.8% triton_mm_3290 0.1876 ms 92.4% triton_mm_3283 0.2202 ms 78.8% triton_mm_3281 0.2269 ms 76.4% triton_mm_3285 0.2324 ms 74.6% triton_mm_3284 0.2347 ms 73.9% triton_mm_3282 0.2428 ms 71.4% triton_mm_3286 0.2492 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5124 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_3336 0.0162 ms 100.0% triton_mm_3333 0.0162 ms 99.6% triton_mm_3335 0.0171 ms 94.7% triton_mm_3338 0.0172 ms 94.0% triton_mm_3339 0.0172 ms 93.9% triton_mm_3342 0.0177 ms 91.2% triton_mm_3332 0.0177 ms 91.1% triton_mm_3337 0.0179 ms 90.2% triton_mm_3340 0.0179 ms 90.2% triton_mm_3334 0.0180 ms 89.9% SingleProcess AUTOTUNE benchmarking takes 2.1623 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0657 ms 100.0% triton_mm_3436 0.0669 ms 98.2% triton_mm_3437 0.0712 ms 92.2% triton_mm_3431 0.0809 ms 81.2% triton_mm_3429 0.0823 ms 79.8% triton_mm_3433 0.0827 ms 79.5% triton_mm_3438 0.0832 ms 78.9% triton_mm_3430 0.0871 ms 75.4% triton_mm_3434 0.0887 ms 74.1% triton_mm_3432 0.1014 ms 64.8% SingleProcess AUTOTUNE benchmarking takes 2.4183 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1737 ms 100.0% triton_mm_3474 0.1758 ms 98.8% triton_mm_3475 0.1834 ms 94.7% triton_mm_3476 0.1879 ms 92.4% triton_mm_3469 0.2196 ms 79.1% triton_mm_3467 0.2276 ms 76.3% triton_mm_3471 0.2328 ms 74.6% triton_mm_3470 0.2344 ms 74.1% triton_mm_3468 0.2430 ms 71.5% triton_mm_3472 0.2496 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 2.5156 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1024) triton_mm_3638 0.1578 ms 100.0% triton_mm_3634 0.1597 ms 98.8% mm 0.1630 ms 96.8% triton_mm_3636 0.1655 ms 95.3% triton_mm_3641 0.1744 ms 90.5% triton_mm_3637 0.1856 ms 85.0% triton_mm_3642 0.1873 ms 84.2% triton_mm_3643 0.1907 ms 82.8% triton_mm_3633 0.1969 ms 80.2% triton_mm_3639 0.1973 ms 80.0% SingleProcess AUTOTUNE benchmarking takes 9.6562 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1024) mm 0.1177 ms 100.0% triton_mm_3622 0.1204 ms 97.8% triton_mm_3623 0.1255 ms 93.8% triton_mm_3624 0.1293 ms 91.1% triton_mm_3617 0.1516 ms 77.7% triton_mm_3615 0.1526 ms 77.2% triton_mm_3619 0.1556 ms 75.6% triton_mm_3618 0.1643 ms 71.7% triton_mm_3616 0.1654 ms 71.2% triton_mm_3620 0.1678 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 2.4703 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0664 ms 100.0% triton_mm_3736 0.0668 ms 99.5% triton_mm_3737 0.0713 ms 93.2% triton_mm_3731 0.0817 ms 81.3% triton_mm_3729 0.0822 ms 80.8% triton_mm_3738 0.0825 ms 80.5% triton_mm_3733 0.0826 ms 80.5% triton_mm_3730 0.0871 ms 76.3% triton_mm_3734 0.0887 ms 74.9% triton_mm_3732 0.1008 ms 65.9% SingleProcess AUTOTUNE benchmarking takes 2.4125 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1729 ms 100.0% triton_mm_3774 0.1755 ms 98.5% triton_mm_3775 0.1828 ms 94.6% triton_mm_3776 0.1889 ms 91.5% triton_mm_3769 0.2203 ms 78.5% triton_mm_3767 0.2267 ms 76.3% triton_mm_3771 0.2333 ms 74.1% triton_mm_3770 0.2336 ms 74.0% triton_mm_3768 0.2435 ms 71.0% triton_mm_3772 0.2490 ms 69.4% SingleProcess AUTOTUNE benchmarking takes 2.5111 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_3825 0.0164 ms 100.0% triton_mm_3821 0.0166 ms 99.2% triton_mm_3822 0.0166 ms 99.0% triton_mm_3819 0.0167 ms 98.7% triton_mm_3826 0.0172 ms 95.5% triton_mm_3818 0.0173 ms 95.2% triton_mm_3824 0.0174 ms 94.5% triton_mm_3829 0.0178 ms 92.6% triton_mm_3827 0.0178 ms 92.4% triton_mm_3828 0.0180 ms 91.1% SingleProcess AUTOTUNE benchmarking takes 2.1473 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) triton_mm_3922 0.0666 ms 100.0% mm 0.0671 ms 99.2% triton_mm_3923 0.0709 ms 93.8% triton_mm_3917 0.0815 ms 81.6% triton_mm_3915 0.0827 ms 80.5% triton_mm_3924 0.0829 ms 80.3% triton_mm_3919 0.0833 ms 79.9% triton_mm_3916 0.0875 ms 76.1% triton_mm_3920 0.0892 ms 74.7% triton_mm_3918 0.1019 ms 65.3% SingleProcess AUTOTUNE benchmarking takes 2.4267 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1741 ms 100.0% triton_mm_3960 0.1761 ms 98.9% triton_mm_3961 0.1830 ms 95.1% triton_mm_3962 0.1892 ms 92.0% triton_mm_3955 0.2192 ms 79.4% triton_mm_3953 0.2265 ms 76.9% triton_mm_3957 0.2333 ms 74.6% triton_mm_3956 0.2338 ms 74.4% triton_mm_3954 0.2433 ms 71.5% triton_mm_3958 0.2494 ms 69.8% SingleProcess AUTOTUNE benchmarking takes 2.5137 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_4011 0.0164 ms 100.0% triton_mm_4005 0.0166 ms 99.0% triton_mm_4007 0.0166 ms 99.0% triton_mm_4010 0.0166 ms 98.8% triton_mm_4012 0.0172 ms 95.7% triton_mm_4014 0.0172 ms 95.7% triton_mm_4009 0.0172 ms 95.4% triton_mm_4008 0.0175 ms 94.0% triton_mm_4006 0.0177 ms 92.9% triton_mm_4013 0.0177 ms 92.6% SingleProcess AUTOTUNE benchmarking takes 2.1544 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1740 ms 100.0% triton_mm_4146 0.1755 ms 99.2% triton_mm_4147 0.1834 ms 94.9% triton_mm_4148 0.1883 ms 92.4% triton_mm_4141 0.2196 ms 79.3% triton_mm_4139 0.2265 ms 76.8% triton_mm_4143 0.2334 ms 74.6% triton_mm_4142 0.2341 ms 74.3% triton_mm_4140 0.2436 ms 71.4% triton_mm_4144 0.2504 ms 69.5% SingleProcess AUTOTUNE benchmarking takes 2.5070 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_4197 0.0166 ms 100.0% triton_mm_4193 0.0166 ms 99.6% triton_mm_4191 0.0167 ms 99.4% triton_mm_4200 0.0172 ms 96.5% triton_mm_4190 0.0173 ms 95.7% triton_mm_4198 0.0173 ms 95.7% triton_mm_4194 0.0174 ms 95.0% triton_mm_4196 0.0175 ms 94.9% triton_mm_4192 0.0176 ms 94.0% triton_mm_4195 0.0181 ms 91.5% SingleProcess AUTOTUNE benchmarking takes 2.1505 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1742 ms 100.0% triton_mm_4332 0.1761 ms 98.9% triton_mm_4333 0.1830 ms 95.2% triton_mm_4334 0.1892 ms 92.1% triton_mm_4327 0.2201 ms 79.2% triton_mm_4325 0.2276 ms 76.6% triton_mm_4329 0.2320 ms 75.1% triton_mm_4328 0.2343 ms 74.4% triton_mm_4326 0.2443 ms 71.3% triton_mm_4330 0.2493 ms 69.9% SingleProcess AUTOTUNE benchmarking takes 2.5136 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_4383 0.0165 ms 100.0% triton_mm_4377 0.0166 ms 99.5% triton_mm_4381 0.0173 ms 95.7% triton_mm_4376 0.0174 ms 94.9% triton_mm_4382 0.0175 ms 94.8% triton_mm_4379 0.0175 ms 94.3% triton_mm_4380 0.0175 ms 94.3% triton_mm_4384 0.0180 ms 91.8% triton_mm_4386 0.0181 ms 91.4% triton_mm_4378 0.0186 ms 89.1% SingleProcess AUTOTUNE benchmarking takes 2.1503 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_4565 0.0167 ms 100.0% triton_mm_4566 0.0168 ms 99.6% triton_mm_4570 0.0173 ms 96.5% triton_mm_4567 0.0174 ms 96.1% triton_mm_4563 0.0175 ms 95.8% triton_mm_4569 0.0175 ms 95.8% triton_mm_4568 0.0176 ms 95.3% triton_mm_4564 0.0178 ms 94.2% triton_mm_4573 0.0180 ms 93.2% triton_mm_4572 0.0182 ms 92.1% SingleProcess AUTOTUNE benchmarking takes 2.1476 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_4755 0.0165 ms 100.0% triton_mm_4749 0.0167 ms 99.2% triton_mm_4752 0.0168 ms 98.6% triton_mm_4758 0.0173 ms 95.7% triton_mm_4753 0.0173 ms 95.4% triton_mm_4751 0.0174 ms 94.9% triton_mm_4754 0.0175 ms 94.7% triton_mm_4757 0.0179 ms 92.3% triton_mm_4756 0.0182 ms 91.1% triton_mm_4748 0.0183 ms 90.3% SingleProcess AUTOTUNE benchmarking takes 2.1477 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6840, 6840x28) mm 0.0313 ms 100.0% triton_mm_4771 0.0471 ms 66.4% triton_mm_4764 0.0475 ms 65.9% triton_mm_4762 0.0567 ms 55.2% triton_mm_4763 0.0629 ms 49.7% triton_mm_4770 0.0679 ms 46.1% triton_mm_4767 0.0699 ms 44.8% triton_mm_4761 0.0708 ms 44.2% triton_mm_4776 0.0739 ms 42.3% triton_mm_4769 0.0779 ms 40.2% SingleProcess AUTOTUNE benchmarking takes 6.4302 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, 28x1024) triton_mm_7 0.0257 ms 100.0% triton_mm_9 0.0259 ms 99.1% triton_mm_6 0.0266 ms 96.4% triton_mm_8 0.0266 ms 96.4% triton_mm_12 0.0266 ms 96.4% triton_mm_11 0.0268 ms 95.7% triton_mm_4 0.0273 ms 94.1% triton_mm_16 0.0274 ms 93.7% triton_mm_10 0.0278 ms 92.3% triton_mm_15 0.0280 ms 91.8% SingleProcess AUTOTUNE benchmarking takes 2.0744 seconds and 0.0064 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_33 0.0198 ms 100.0% triton_mm_25 0.0209 ms 95.0% triton_mm_29 0.0209 ms 95.0% triton_mm_18 0.0211 ms 93.9% triton_mm_21 0.0212 ms 93.4% triton_mm_28 0.0218 ms 90.9% triton_mm_24 0.0220 ms 90.4% bias_addmm 0.0223 ms 88.8% triton_mm_19 0.0225 ms 88.3% triton_mm_20 0.0237 ms 83.8% SingleProcess AUTOTUNE benchmarking takes 2.1889 seconds and 0.0008 seconds precompiling AUTOTUNE addmm(6864x3072, 6864x1024, 1024x3072) triton_mm_50 0.1955 ms 100.0% triton_mm_51 0.2015 ms 97.0% bias_addmm 0.2196 ms 89.0% triton_mm_45 0.2378 ms 82.2% triton_mm_43 0.2414 ms 81.0% triton_mm_47 0.2418 ms 80.8% triton_mm_52 0.2446 ms 79.9% addmm 0.2580 ms 75.7% triton_mm_44 0.2679 ms 72.9% triton_mm_48 0.2769 ms 70.6% SingleProcess AUTOTUNE benchmarking takes 2.5807 seconds and 0.0185 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x1024, 1024x1024) bias_addmm 0.0688 ms 100.0% triton_mm_69 0.0710 ms 96.8% triton_mm_70 0.0714 ms 96.3% triton_mm_62 0.0849 ms 81.0% triton_mm_66 0.0860 ms 80.0% triton_mm_71 0.0862 ms 79.8% triton_mm_64 0.0865 ms 79.5% triton_mm_63 0.0937 ms 73.4% addmm 0.0941 ms 73.0% triton_mm_67 0.0965 ms 71.2% SingleProcess AUTOTUNE benchmarking takes 2.5229 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(6864x4096, 6864x1024, 1024x4096) triton_mm_88 0.2597 ms 100.0% triton_mm_89 0.2636 ms 98.5% bias_addmm 0.2921 ms 88.9% triton_mm_83 0.3120 ms 83.2% triton_mm_81 0.3195 ms 81.3% triton_mm_85 0.3196 ms 81.3% triton_mm_90 0.3233 ms 80.3% triton_mm_82 0.3560 ms 73.0% triton_mm_86 0.3643 ms 71.3% triton_mm_84 0.3903 ms 66.5% SingleProcess AUTOTUNE benchmarking takes 2.6016 seconds and 0.0157 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x4096, 4096x1024) triton_mm_108 0.2388 ms 100.0% triton_mm_107 0.2426 ms 98.5% bias_addmm 0.2483 ms 96.2% triton_mm_109 0.2551 ms 93.6% addmm 0.2641 ms 90.4% triton_mm_104 0.3072 ms 77.7% triton_mm_102 0.3100 ms 77.0% triton_mm_103 0.3178 ms 75.2% triton_mm_100 0.3196 ms 74.7% triton_mm_101 0.3447 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.6471 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_122 0.0199 ms 100.0% triton_mm_118 0.0209 ms 95.1% triton_mm_117 0.0210 ms 94.8% triton_mm_126 0.0210 ms 94.7% triton_mm_111 0.0211 ms 94.5% triton_mm_114 0.0218 ms 91.5% triton_mm_121 0.0218 ms 91.2% triton_mm_113 0.0227 ms 87.7% bias_addmm 0.0233 ms 85.3% triton_mm_112 0.0234 ms 85.2% SingleProcess AUTOTUNE benchmarking takes 2.2112 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x3072, 6864x1024, 1024x3072) triton_mm_143 0.1933 ms 100.0% triton_mm_144 0.1977 ms 97.8% bias_addmm 0.2199 ms 87.9% triton_mm_138 0.2366 ms 81.7% triton_mm_140 0.2403 ms 80.5% triton_mm_136 0.2404 ms 80.4% triton_mm_145 0.2429 ms 79.6% triton_mm_137 0.2665 ms 72.5% triton_mm_141 0.2708 ms 71.4% addmm 0.2875 ms 67.3% SingleProcess AUTOTUNE benchmarking takes 2.6096 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x1024, 1024x1024) bias_addmm 0.0685 ms 100.0% triton_mm_162 0.0698 ms 98.2% triton_mm_163 0.0712 ms 96.2% triton_mm_155 0.0852 ms 80.5% triton_mm_159 0.0852 ms 80.4% triton_mm_157 0.0862 ms 79.5% triton_mm_164 0.0870 ms 78.7% addmm 0.0941 ms 72.8% triton_mm_156 0.0942 ms 72.7% triton_mm_160 0.0960 ms 71.4% SingleProcess AUTOTUNE benchmarking takes 2.5166 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_219 0.0199 ms 100.0% triton_mm_215 0.0209 ms 95.2% triton_mm_211 0.0210 ms 94.8% triton_mm_210 0.0210 ms 94.7% triton_mm_204 0.0211 ms 94.1% triton_mm_207 0.0217 ms 91.6% triton_mm_214 0.0218 ms 91.1% triton_mm_206 0.0227 ms 87.6% triton_mm_205 0.0234 ms 85.0% triton_mm_217 0.0252 ms 78.7% SingleProcess AUTOTUNE benchmarking takes 2.2066 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x3072, 6864x1024, 1024x3072) triton_mm_236 0.1939 ms 100.0% triton_mm_237 0.1982 ms 97.8% bias_addmm 0.2190 ms 88.5% triton_mm_231 0.2348 ms 82.6% triton_mm_229 0.2403 ms 80.7% triton_mm_233 0.2407 ms 80.5% triton_mm_238 0.2437 ms 79.5% addmm 0.2525 ms 76.8% triton_mm_230 0.2650 ms 73.2% triton_mm_234 0.2710 ms 71.5% SingleProcess AUTOTUNE benchmarking takes 2.6176 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x1024, 1024x1024) bias_addmm 0.0693 ms 100.0% triton_mm_255 0.0698 ms 99.3% triton_mm_256 0.0710 ms 97.5% triton_mm_248 0.0850 ms 81.5% triton_mm_252 0.0851 ms 81.4% triton_mm_250 0.0868 ms 79.8% triton_mm_257 0.0870 ms 79.6% addmm 0.0940 ms 73.7% triton_mm_249 0.0943 ms 73.5% triton_mm_253 0.0960 ms 72.2% SingleProcess AUTOTUNE benchmarking takes 2.5158 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_308 0.0209 ms 100.0% triton_mm_303 0.0210 ms 99.5% triton_mm_312 0.0211 ms 99.2% triton_mm_297 0.0211 ms 99.1% triton_mm_304 0.0211 ms 98.9% triton_mm_300 0.0217 ms 96.5% triton_mm_298 0.0224 ms 93.2% triton_mm_299 0.0227 ms 92.1% triton_mm_307 0.0228 ms 91.5% triton_mm_310 0.0243 ms 86.1% SingleProcess AUTOTUNE benchmarking takes 2.2140 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x3072, 6864x1024, 1024x3072) triton_mm_329 0.1940 ms 100.0% triton_mm_330 0.1986 ms 97.7% bias_addmm 0.2200 ms 88.2% triton_mm_324 0.2358 ms 82.3% triton_mm_322 0.2386 ms 81.3% triton_mm_326 0.2403 ms 80.7% triton_mm_331 0.2435 ms 79.6% triton_mm_323 0.2653 ms 73.1% triton_mm_327 0.2751 ms 70.5% addmm 0.2876 ms 67.4% SingleProcess AUTOTUNE benchmarking takes 2.6126 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x1024, 1024x1024) bias_addmm 0.0689 ms 100.0% triton_mm_348 0.0697 ms 98.8% triton_mm_349 0.0710 ms 97.0% triton_mm_341 0.0851 ms 81.0% triton_mm_345 0.0862 ms 79.9% triton_mm_350 0.0868 ms 79.3% triton_mm_343 0.0868 ms 79.3% addmm 0.0938 ms 73.4% triton_mm_342 0.0943 ms 73.0% triton_mm_346 0.0951 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 2.5159 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_405 0.0198 ms 100.0% triton_mm_397 0.0209 ms 95.1% triton_mm_401 0.0209 ms 95.1% triton_mm_396 0.0210 ms 94.5% triton_mm_390 0.0211 ms 93.9% triton_mm_393 0.0213 ms 93.2% triton_mm_391 0.0225 ms 88.3% triton_mm_400 0.0228 ms 86.9% triton_mm_392 0.0236 ms 84.1% triton_mm_403 0.0252 ms 78.7% SingleProcess AUTOTUNE benchmarking takes 2.2021 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x1024, 1024x1024) triton_mm_441 0.0696 ms 100.0% triton_mm_442 0.0711 ms 97.9% bias_addmm 0.0830 ms 83.8% triton_mm_434 0.0849 ms 82.0% triton_mm_438 0.0861 ms 80.8% triton_mm_436 0.0868 ms 80.2% triton_mm_443 0.0869 ms 80.1% triton_mm_435 0.0942 ms 73.9% addmm 0.0951 ms 73.2% triton_mm_439 0.0951 ms 73.2% SingleProcess AUTOTUNE benchmarking takes 2.5248 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_498 0.0198 ms 100.0% triton_mm_489 0.0210 ms 94.5% triton_mm_494 0.0211 ms 94.2% triton_mm_483 0.0211 ms 93.9% triton_mm_490 0.0211 ms 93.9% triton_mm_486 0.0218 ms 91.1% triton_mm_493 0.0218 ms 90.9% triton_mm_484 0.0235 ms 84.6% triton_mm_485 0.0238 ms 83.4% triton_mm_496 0.0243 ms 81.8% SingleProcess AUTOTUNE benchmarking takes 2.2216 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x1024, 6864x1024, 1024x1024) triton_mm_534 0.0696 ms 100.0% triton_mm_535 0.0711 ms 97.8% bias_addmm 0.0829 ms 83.9% triton_mm_527 0.0850 ms 81.9% triton_mm_531 0.0862 ms 80.7% triton_mm_529 0.0867 ms 80.2% triton_mm_536 0.0871 ms 79.9% triton_mm_528 0.0942 ms 73.8% triton_mm_532 0.0950 ms 73.2% triton_mm_530 0.1080 ms 64.4% SingleProcess AUTOTUNE benchmarking takes 2.5211 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x2048, 6864x1024, 1024x2048) triton_mm_591 0.1315 ms 100.0% triton_mm_592 0.1338 ms 98.3% bias_addmm 0.1516 ms 86.7% triton_mm_586 0.1591 ms 82.7% triton_mm_588 0.1614 ms 81.5% triton_mm_584 0.1619 ms 81.2% triton_mm_593 0.1639 ms 80.2% addmm 0.1723 ms 76.3% triton_mm_585 0.1775 ms 74.1% triton_mm_589 0.1817 ms 72.4% SingleProcess AUTOTUNE benchmarking takes 2.5857 seconds and 0.0009 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_644 0.0197 ms 100.0% triton_mm_648 0.0198 ms 99.4% triton_mm_639 0.0210 ms 94.0% triton_mm_633 0.0211 ms 93.6% triton_mm_640 0.0212 ms 93.2% triton_mm_636 0.0217 ms 90.7% bias_addmm 0.0223 ms 88.3% triton_mm_634 0.0224 ms 88.0% triton_mm_635 0.0227 ms 86.9% triton_mm_643 0.0228 ms 86.3% SingleProcess AUTOTUNE benchmarking takes 2.2157 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_741 0.0198 ms 100.0% triton_mm_733 0.0210 ms 94.7% triton_mm_737 0.0210 ms 94.4% triton_mm_729 0.0216 ms 91.7% triton_mm_732 0.0220 ms 90.4% triton_mm_726 0.0221 ms 89.9% triton_mm_728 0.0227 ms 87.4% triton_mm_736 0.0228 ms 87.0% triton_mm_727 0.0233 ms 85.2% triton_mm_739 0.0252 ms 78.8% SingleProcess AUTOTUNE benchmarking takes 2.2222 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(24x6144, 24x1024, 1024x6144) triton_mm_825 0.0210 ms 100.0% triton_mm_826 0.0212 ms 99.2% triton_mm_830 0.0212 ms 99.1% triton_mm_834 0.0212 ms 99.1% triton_mm_822 0.0213 ms 98.5% triton_mm_819 0.0223 ms 94.1% triton_mm_820 0.0225 ms 93.4% triton_mm_829 0.0230 ms 91.4% triton_mm_821 0.0237 ms 88.4% triton_mm_832 0.0243 ms 86.5% SingleProcess AUTOTUNE benchmarking takes 2.2187 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x1024, 1024x2048) triton_mm_1566 0.0139 ms 100.0% triton_mm_1570 0.0146 ms 95.6% triton_mm_1574 0.0155 ms 90.1% triton_mm_1578 0.0156 ms 89.1% mm 0.0158 ms 88.1% triton_mm_1563 0.0165 ms 84.3% triton_mm_1569 0.0167 ms 83.2% triton_mm_1564 0.0170 ms 81.8% triton_mm_1573 0.0181 ms 76.9% triton_mm_1565 0.0189 ms 73.5% SingleProcess AUTOTUNE benchmarking takes 9.2853 seconds and 0.0000 seconds precompiling AUTOTUNE addmm(6864x32768, 6864x1024, 1024x32768) bias_addmm 2.0230 ms 100.0% triton_mm_1596 2.1403 ms 94.5% triton_mm_1595 2.1639 ms 93.5% triton_mm_1597 2.5681 ms 78.8% triton_mm_1590 2.5956 ms 77.9% triton_mm_1592 2.6423 ms 76.6% addmm 2.6715 ms 75.7% triton_mm_1588 2.7056 ms 74.8% triton_mm_1593 2.9703 ms 68.1% triton_mm_1589 2.9827 ms 67.8% SingleProcess AUTOTUNE benchmarking takes 11.9314 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, 6864x1024) triton_mm_1633 1.8417 ms 100.0% triton_mm_1634 1.9197 ms 95.9% mm 1.9574 ms 94.1% triton_mm_1635 2.0298 ms 90.7% triton_mm_1628 2.4265 ms 75.9% triton_mm_1626 2.4617 ms 74.8% triton_mm_1630 2.5176 ms 73.2% triton_mm_1629 2.5759 ms 71.5% triton_mm_1627 2.6523 ms 69.4% triton_mm_1631 2.6596 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.9152 seconds and 0.0169 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_1686 0.2467 ms 100.0% mm 0.2472 ms 99.8% triton_mm_1687 0.2611 ms 94.5% triton_mm_1679 0.3001 ms 82.2% triton_mm_1681 0.3004 ms 82.1% triton_mm_1683 0.3055 ms 80.8% triton_mm_1688 0.3064 ms 80.5% triton_mm_1680 0.3312 ms 74.5% triton_mm_1684 0.3388 ms 72.8% triton_mm_1682 0.3545 ms 69.6% SingleProcess AUTOTUNE benchmarking takes 12.9078 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2310 ms 100.0% triton_mm_1724 0.2354 ms 98.1% triton_mm_1725 0.2420 ms 95.4% triton_mm_1726 0.2483 ms 93.0% triton_mm_1719 0.2938 ms 78.6% triton_mm_1721 0.2982 ms 77.5% triton_mm_1717 0.3007 ms 76.8% triton_mm_1720 0.3062 ms 75.4% triton_mm_1718 0.3240 ms 71.3% triton_mm_1722 0.3332 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5463 seconds and 0.0009 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2424 ms 100.0% triton_mm_1705 0.2805 ms 86.4% triton_mm_1706 0.2891 ms 83.8% triton_mm_1707 0.2918 ms 83.1% triton_mm_1700 0.3013 ms 80.4% triton_mm_1702 0.3176 ms 76.3% triton_mm_1698 0.3190 ms 76.0% triton_mm_1701 0.3199 ms 75.8% triton_mm_1703 0.3300 ms 73.4% triton_mm_1699 0.3387 ms 71.6% SingleProcess AUTOTUNE benchmarking takes 2.5427 seconds and 0.0009 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2417 ms 100.0% triton_mm_1743 0.2798 ms 86.4% triton_mm_1744 0.2889 ms 83.7% triton_mm_1745 0.2927 ms 82.6% triton_mm_1738 0.2988 ms 80.9% triton_mm_1736 0.3182 ms 76.0% triton_mm_1739 0.3196 ms 75.6% triton_mm_1740 0.3197 ms 75.6% triton_mm_1741 0.3340 ms 72.4% triton_mm_1737 0.3375 ms 71.6% SingleProcess AUTOTUNE benchmarking takes 2.5397 seconds and 0.0010 seconds precompiling AUTOTUNE mm(2048x24, 24x1024) triton_mm_1659 0.0108 ms 100.0% triton_mm_1662 0.0111 ms 97.1% triton_mm_1664 0.0111 ms 97.1% triton_mm_1660 0.0113 ms 95.7% triton_mm_1666 0.0114 ms 94.4% triton_mm_1657 0.0116 ms 92.6% triton_mm_1658 0.0116 ms 92.6% triton_mm_1661 0.0118 ms 91.1% triton_mm_1653 0.0119 ms 90.8% triton_mm_1656 0.0121 ms 89.4% SingleProcess AUTOTUNE benchmarking takes 5.7616 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x2048, 2048x1024) triton_mm_1640 0.0147 ms 100.0% mm 0.0164 ms 90.0% triton_mm_1644 0.0203 ms 72.7% triton_mm_1639 0.0213 ms 69.2% triton_mm_1652 0.0222 ms 66.3% triton_mm_1638 0.0238 ms 61.9% triton_mm_1643 0.0240 ms 61.3% triton_mm_1648 0.0242 ms 60.8% triton_mm_1647 0.0247 ms 59.6% triton_mm_1637 0.0249 ms 59.1% SingleProcess AUTOTUNE benchmarking takes 2.1359 seconds and 0.0009 seconds precompiling AUTOTUNE mm(6864x32768, 32768x1024) mm 1.7890 ms 100.0% triton_mm_1614 1.8887 ms 94.7% triton_mm_1615 1.9326 ms 92.6% triton_mm_1616 1.9650 ms 91.0% triton_mm_1607 2.5595 ms 69.9% triton_mm_1609 2.5815 ms 69.3% triton_mm_1610 2.5917 ms 69.0% triton_mm_1608 2.6345 ms 67.9% triton_mm_1611 2.7418 ms 65.3% triton_mm_1612 2.7437 ms 65.2% SingleProcess AUTOTUNE benchmarking takes 2.9459 seconds and 0.0009 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1774 ms 100.0% triton_mm_1819 0.1889 ms 93.9% triton_mm_1820 0.1936 ms 91.6% triton_mm_1821 0.1970 ms 90.0% triton_mm_1814 0.2407 ms 73.7% triton_mm_1815 0.2521 ms 70.4% triton_mm_1817 0.2620 ms 67.7% triton_mm_1813 0.2655 ms 66.8% triton_mm_1816 0.2739 ms 64.8% triton_mm_1812 0.2771 ms 64.0% SingleProcess AUTOTUNE benchmarking takes 9.5745 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x1024) mm 0.0762 ms 100.0% triton_mm_1783 0.0980 ms 77.7% triton_mm_1776 0.1044 ms 72.9% triton_mm_1782 0.1083 ms 70.3% triton_mm_1774 0.1161 ms 65.6% triton_mm_1773 0.1165 ms 65.4% triton_mm_1778 0.1204 ms 63.2% triton_mm_1781 0.1221 ms 62.4% triton_mm_1777 0.1262 ms 60.3% triton_mm_1772 0.1302 ms 58.5% SingleProcess AUTOTUNE benchmarking takes 9.7539 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x1024) mm 0.0665 ms 100.0% triton_mm_1762 0.0680 ms 97.8% triton_mm_1763 0.0710 ms 93.7% triton_mm_1757 0.0824 ms 80.8% triton_mm_1755 0.0828 ms 80.4% triton_mm_1759 0.0840 ms 79.2% triton_mm_1764 0.0842 ms 79.1% triton_mm_1756 0.0876 ms 75.9% triton_mm_1760 0.0901 ms 73.8% triton_mm_1758 0.1003 ms 66.4% SingleProcess AUTOTUNE benchmarking takes 10.1791 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x3072, 3072x1024) mm 0.1759 ms 100.0% triton_mm_1800 0.1773 ms 99.2% triton_mm_1801 0.1837 ms 95.7% triton_mm_1802 0.1885 ms 93.3% triton_mm_1795 0.2203 ms 79.8% triton_mm_1793 0.2279 ms 77.2% triton_mm_1797 0.2334 ms 75.4% triton_mm_1796 0.2339 ms 75.2% triton_mm_1794 0.2451 ms 71.7% triton_mm_1798 0.2507 ms 70.1% SingleProcess AUTOTUNE benchmarking takes 9.8933 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_1872 0.2470 ms 100.0% triton_mm_1873 0.2617 ms 94.4% mm 0.2828 ms 87.3% triton_mm_1865 0.2996 ms 82.4% triton_mm_1867 0.2996 ms 82.4% triton_mm_1869 0.3084 ms 80.1% triton_mm_1874 0.3101 ms 79.6% triton_mm_1866 0.3301 ms 74.8% triton_mm_1870 0.3412 ms 72.4% triton_mm_1868 0.3587 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5169 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2298 ms 100.0% triton_mm_1910 0.2343 ms 98.1% triton_mm_1911 0.2423 ms 94.8% triton_mm_1912 0.2494 ms 92.1% triton_mm_1905 0.2941 ms 78.1% triton_mm_1907 0.2979 ms 77.1% triton_mm_1903 0.3026 ms 75.9% triton_mm_1906 0.3081 ms 74.6% triton_mm_1904 0.3249 ms 70.7% triton_mm_1908 0.3356 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.5316 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_1845 0.0161 ms 100.0% triton_mm_1847 0.0161 ms 99.8% triton_mm_1849 0.0169 ms 95.3% triton_mm_1846 0.0171 ms 94.4% triton_mm_1850 0.0172 ms 93.8% triton_mm_1848 0.0173 ms 93.2% triton_mm_1851 0.0175 ms 91.9% triton_mm_1844 0.0178 ms 90.6% triton_mm_1854 0.0178 ms 90.2% triton_mm_1852 0.0182 ms 88.4% SingleProcess AUTOTUNE benchmarking takes 5.7225 seconds and 0.0000 seconds precompiling AUTOTUNE mm(1024x6864, 6864x4096) mm 0.2452 ms 100.0% triton_mm_1891 0.2804 ms 87.5% triton_mm_1892 0.2886 ms 85.0% triton_mm_1893 0.2918 ms 84.0% triton_mm_1886 0.3014 ms 81.4% triton_mm_1888 0.3185 ms 77.0% triton_mm_1884 0.3197 ms 76.7% triton_mm_1887 0.3209 ms 76.4% triton_mm_1889 0.3303 ms 74.2% triton_mm_1885 0.3393 ms 72.3% SingleProcess AUTOTUNE benchmarking takes 2.5393 seconds and 0.0000 seconds precompiling AUTOTUNE mm(4096x6864, 6864x1024) mm 0.2436 ms 100.0% triton_mm_1929 0.2816 ms 86.5% triton_mm_1930 0.2904 ms 83.9% triton_mm_1931 0.2939 ms 82.9% triton_mm_1924 0.3007 ms 81.0% triton_mm_1922 0.3181 ms 76.6% triton_mm_1926 0.3188 ms 76.4% triton_mm_1925 0.3200 ms 76.1% triton_mm_1927 0.3325 ms 73.3% triton_mm_1923 0.3382 ms 72.0% SingleProcess AUTOTUNE benchmarking takes 2.5376 seconds and 0.0000 seconds precompiling AUTOTUNE mm(24x6144, 6144x1024) triton_mm_1826 0.0252 ms 100.0% mm 0.0262 ms 96.2% triton_mm_1830 0.0316 ms 79.6% triton_mm_1834 0.0380 ms 66.2% triton_mm_1838 0.0482 ms 52.3% triton_mm_1825 0.0492 ms 51.2% triton_mm_1824 0.0534 ms 47.2% triton_mm_1829 0.0560 ms 44.9% triton_mm_1833 0.0592 ms 42.6% triton_mm_1823 0.0613 ms 41.1% SingleProcess AUTOTUNE benchmarking takes 2.0890 seconds and 0.0007 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1749 ms 100.0% triton_mm_2005 0.1892 ms 92.4% triton_mm_2006 0.1951 ms 89.6% triton_mm_2007 0.1985 ms 88.1% triton_mm_2000 0.2426 ms 72.1% triton_mm_2001 0.2535 ms 69.0% triton_mm_2003 0.2617 ms 66.8% triton_mm_1999 0.2665 ms 65.6% triton_mm_2002 0.2742 ms 63.8% triton_mm_1998 0.2780 ms 62.9% SingleProcess AUTOTUNE benchmarking takes 2.5182 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) mm 0.2461 ms 100.0% triton_mm_2058 0.2473 ms 99.5% triton_mm_2059 0.2627 ms 93.7% triton_mm_2051 0.3012 ms 81.7% triton_mm_2053 0.3014 ms 81.6% triton_mm_2055 0.3069 ms 80.2% triton_mm_2060 0.3107 ms 79.2% triton_mm_2052 0.3333 ms 73.8% triton_mm_2056 0.3427 ms 71.8% triton_mm_2054 0.3593 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.5366 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2307 ms 100.0% triton_mm_2096 0.2347 ms 98.3% triton_mm_2097 0.2433 ms 94.8% triton_mm_2098 0.2504 ms 92.2% triton_mm_2091 0.2961 ms 77.9% triton_mm_2093 0.2979 ms 77.4% triton_mm_2089 0.3023 ms 76.3% triton_mm_2092 0.3087 ms 74.7% triton_mm_2090 0.3253 ms 70.9% triton_mm_2094 0.3370 ms 68.5% SingleProcess AUTOTUNE benchmarking takes 2.5347 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2031 0.0161 ms 100.0% triton_mm_2033 0.0161 ms 100.0% triton_mm_2034 0.0162 ms 99.6% triton_mm_2035 0.0169 ms 95.6% triton_mm_2032 0.0171 ms 94.4% triton_mm_2036 0.0175 ms 92.1% triton_mm_2037 0.0175 ms 92.1% triton_mm_2039 0.0176 ms 91.6% triton_mm_2041 0.0176 ms 91.6% triton_mm_2040 0.0179 ms 90.3% SingleProcess AUTOTUNE benchmarking takes 2.1600 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1749 ms 100.0% triton_mm_2191 0.1882 ms 93.0% triton_mm_2192 0.1938 ms 90.3% triton_mm_2193 0.1982 ms 88.3% triton_mm_2186 0.2418 ms 72.3% triton_mm_2187 0.2537 ms 69.0% triton_mm_2189 0.2624 ms 66.7% triton_mm_2185 0.2651 ms 66.0% triton_mm_2188 0.2748 ms 63.7% triton_mm_2184 0.2774 ms 63.1% SingleProcess AUTOTUNE benchmarking takes 2.5165 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) mm 0.2477 ms 100.0% triton_mm_2244 0.2482 ms 99.8% triton_mm_2245 0.2617 ms 94.7% triton_mm_2237 0.3014 ms 82.2% triton_mm_2239 0.3020 ms 82.0% triton_mm_2241 0.3058 ms 81.0% triton_mm_2246 0.3088 ms 80.2% triton_mm_2238 0.3326 ms 74.5% triton_mm_2242 0.3404 ms 72.8% triton_mm_2240 0.3575 ms 69.3% SingleProcess AUTOTUNE benchmarking takes 2.5347 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2311 ms 100.0% triton_mm_2282 0.2356 ms 98.1% triton_mm_2283 0.2421 ms 95.5% triton_mm_2284 0.2492 ms 92.8% triton_mm_2277 0.2952 ms 78.3% triton_mm_2279 0.2993 ms 77.2% triton_mm_2275 0.3016 ms 76.6% triton_mm_2278 0.3095 ms 74.7% triton_mm_2276 0.3268 ms 70.7% triton_mm_2280 0.3360 ms 68.8% SingleProcess AUTOTUNE benchmarking takes 2.5390 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2219 0.0161 ms 100.0% triton_mm_2226 0.0169 ms 95.6% triton_mm_2224 0.0169 ms 95.5% triton_mm_2218 0.0171 ms 94.4% triton_mm_2217 0.0172 ms 93.7% triton_mm_2222 0.0172 ms 93.6% triton_mm_2223 0.0173 ms 93.0% triton_mm_2220 0.0174 ms 92.9% triton_mm_2227 0.0176 ms 91.6% triton_mm_2216 0.0178 ms 90.8% SingleProcess AUTOTUNE benchmarking takes 2.1626 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1749 ms 100.0% triton_mm_2377 0.1890 ms 92.5% triton_mm_2378 0.1955 ms 89.4% triton_mm_2379 0.1980 ms 88.3% triton_mm_2372 0.2421 ms 72.2% triton_mm_2373 0.2526 ms 69.2% triton_mm_2375 0.2610 ms 67.0% triton_mm_2371 0.2658 ms 65.8% triton_mm_2374 0.2731 ms 64.0% triton_mm_2370 0.2779 ms 62.9% SingleProcess AUTOTUNE benchmarking takes 2.5149 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_2430 0.2478 ms 100.0% mm 0.2498 ms 99.2% triton_mm_2431 0.2625 ms 94.4% triton_mm_2423 0.3013 ms 82.2% triton_mm_2425 0.3018 ms 82.1% triton_mm_2427 0.3067 ms 80.8% triton_mm_2432 0.3113 ms 79.6% triton_mm_2424 0.3337 ms 74.2% triton_mm_2428 0.3429 ms 72.3% triton_mm_2426 0.3594 ms 68.9% SingleProcess AUTOTUNE benchmarking takes 2.5273 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2302 ms 100.0% triton_mm_2468 0.2342 ms 98.3% triton_mm_2469 0.2421 ms 95.1% triton_mm_2470 0.2489 ms 92.5% triton_mm_2463 0.2947 ms 78.1% triton_mm_2465 0.2985 ms 77.1% triton_mm_2461 0.3032 ms 75.9% triton_mm_2464 0.3082 ms 74.7% triton_mm_2462 0.3249 ms 70.9% triton_mm_2466 0.3372 ms 68.3% SingleProcess AUTOTUNE benchmarking takes 2.5331 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2403 0.0161 ms 100.0% triton_mm_2406 0.0162 ms 99.6% triton_mm_2402 0.0169 ms 95.6% triton_mm_2404 0.0171 ms 94.4% triton_mm_2408 0.0171 ms 94.2% triton_mm_2405 0.0173 ms 93.0% triton_mm_2409 0.0175 ms 92.3% triton_mm_2411 0.0176 ms 91.6% triton_mm_2412 0.0178 ms 90.5% triton_mm_2407 0.0182 ms 88.7% SingleProcess AUTOTUNE benchmarking takes 2.1554 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1756 ms 100.0% triton_mm_2563 0.1889 ms 93.0% triton_mm_2564 0.1939 ms 90.5% triton_mm_2565 0.1984 ms 88.5% triton_mm_2558 0.2411 ms 72.8% triton_mm_2559 0.2535 ms 69.3% triton_mm_2561 0.2613 ms 67.2% triton_mm_2557 0.2652 ms 66.2% triton_mm_2560 0.2739 ms 64.1% triton_mm_2556 0.2772 ms 63.3% SingleProcess AUTOTUNE benchmarking takes 2.5245 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_2616 0.2474 ms 100.0% mm 0.2475 ms 99.9% triton_mm_2617 0.2623 ms 94.3% triton_mm_2609 0.3010 ms 82.2% triton_mm_2611 0.3019 ms 81.9% triton_mm_2613 0.3082 ms 80.3% triton_mm_2618 0.3100 ms 79.8% triton_mm_2610 0.3318 ms 74.5% triton_mm_2614 0.3418 ms 72.4% triton_mm_2612 0.3580 ms 69.1% SingleProcess AUTOTUNE benchmarking takes 2.5275 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2304 ms 100.0% triton_mm_2654 0.2359 ms 97.7% triton_mm_2655 0.2421 ms 95.1% triton_mm_2656 0.2489 ms 92.5% triton_mm_2649 0.2950 ms 78.1% triton_mm_2651 0.2991 ms 77.0% triton_mm_2647 0.3023 ms 76.2% triton_mm_2650 0.3079 ms 74.8% triton_mm_2648 0.3267 ms 70.5% triton_mm_2652 0.3357 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5334 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2592 0.0162 ms 100.0% triton_mm_2591 0.0168 ms 96.2% triton_mm_2593 0.0169 ms 96.0% triton_mm_2588 0.0169 ms 95.8% triton_mm_2589 0.0170 ms 95.0% triton_mm_2595 0.0171 ms 94.6% triton_mm_2594 0.0173 ms 93.4% triton_mm_2598 0.0178 ms 91.0% triton_mm_2596 0.0179 ms 90.5% triton_mm_2590 0.0180 ms 89.7% SingleProcess AUTOTUNE benchmarking takes 2.1360 seconds and 0.0000 seconds precompiling AUTOTUNE mm(3072x6864, 6864x1024) mm 0.1757 ms 100.0% triton_mm_2749 0.1894 ms 92.8% triton_mm_2750 0.1949 ms 90.2% triton_mm_2751 0.1974 ms 89.0% triton_mm_2744 0.2402 ms 73.2% triton_mm_2745 0.2518 ms 69.8% triton_mm_2747 0.2609 ms 67.4% triton_mm_2743 0.2645 ms 66.4% triton_mm_2746 0.2734 ms 64.3% triton_mm_2742 0.2769 ms 63.5% SingleProcess AUTOTUNE benchmarking takes 2.5225 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x1024, 1024x4096) triton_mm_2802 0.2479 ms 100.0% mm 0.2493 ms 99.4% triton_mm_2803 0.2622 ms 94.6% triton_mm_2797 0.3013 ms 82.3% triton_mm_2795 0.3013 ms 82.3% triton_mm_2799 0.3070 ms 80.7% triton_mm_2804 0.3105 ms 79.8% triton_mm_2796 0.3329 ms 74.5% triton_mm_2800 0.3452 ms 71.8% triton_mm_2798 0.3612 ms 68.6% SingleProcess AUTOTUNE benchmarking takes 2.5331 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x4096, 4096x1024) mm 0.2296 ms 100.0% triton_mm_2840 0.2345 ms 97.9% triton_mm_2841 0.2433 ms 94.4% triton_mm_2842 0.2492 ms 92.1% triton_mm_2835 0.2948 ms 77.9% triton_mm_2837 0.2979 ms 77.1% triton_mm_2833 0.3018 ms 76.1% triton_mm_2836 0.3088 ms 74.4% triton_mm_2834 0.3275 ms 70.1% triton_mm_2838 0.3373 ms 68.1% SingleProcess AUTOTUNE benchmarking takes 2.5348 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2775 0.0161 ms 100.0% triton_mm_2777 0.0161 ms 100.0% triton_mm_2778 0.0162 ms 99.6% triton_mm_2781 0.0162 ms 99.4% triton_mm_2784 0.0169 ms 95.6% triton_mm_2774 0.0169 ms 95.5% triton_mm_2780 0.0173 ms 93.1% triton_mm_2783 0.0176 ms 91.6% triton_mm_2785 0.0176 ms 91.5% triton_mm_2779 0.0182 ms 88.7% SingleProcess AUTOTUNE benchmarking takes 2.1432 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6144x24, 24x1024) triton_mm_2964 0.0162 ms 100.0% triton_mm_2966 0.0162 ms 100.0% triton_mm_2967 0.0162 ms 100.0% triton_mm_2960 0.0169 ms 95.8% triton_mm_2965 0.0169 ms 95.8% triton_mm_2968 0.0169 ms 95.8% triton_mm_2962 0.0171 ms 94.9% triton_mm_2963 0.0172 ms 94.4% triton_mm_2961 0.0172 ms 93.9% triton_mm_2971 0.0176 ms 92.0% SingleProcess AUTOTUNE benchmarking takes 2.1567 seconds and 0.0000 seconds precompiling AUTOTUNE mm(2048x6864, 6864x1024) triton_mm_3638 0.1580 ms 100.0% triton_mm_3634 0.1600 ms 98.7% mm 0.1632 ms 96.8% triton_mm_3636 0.1664 ms 94.9% triton_mm_3641 0.1743 ms 90.6% triton_mm_3637 0.1856 ms 85.1% triton_mm_3642 0.1879 ms 84.1% triton_mm_3643 0.1913 ms 82.6% triton_mm_3633 0.1975 ms 80.0% triton_mm_3639 0.1975 ms 80.0% SingleProcess AUTOTUNE benchmarking takes 9.9446 seconds and 0.0000 seconds precompiling AUTOTUNE mm(6864x2048, 2048x1024) mm 0.1205 ms 100.0% triton_mm_3622 0.1217 ms 99.0% triton_mm_3623 0.1249 ms 96.5% triton_mm_3624 0.1298 ms 92.9% triton_mm_3617 0.1516 ms 79.5% triton_mm_3615 0.1523 ms 79.2% triton_mm_3619 0.1553 ms 77.6% triton_mm_3616 0.1644 ms 73.3% triton_mm_3618 0.1648 ms 73.2% triton_mm_3620 0.1682 ms 71.7% SingleProcess AUTOTUNE benchmarking takes 2.4619 seconds and 0.0008 seconds precompiling AUTOTUNE mm(1024x6840, 6840x28) mm 0.0324 ms 100.0% triton_mm_4771 0.0471 ms 68.6% triton_mm_4764 0.0494 ms 65.5% triton_mm_4762 0.0576 ms 56.2% triton_mm_4763 0.0638 ms 50.7% triton_mm_4770 0.0700 ms 46.2% triton_mm_4767 0.0707 ms 45.8% triton_mm_4761 0.0720 ms 44.9% triton_mm_4776 0.0751 ms 43.1% triton_mm_4769 0.0779 ms 41.5% SingleProcess AUTOTUNE benchmarking takes 6.6761 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