=======================================================   RESTART [11-26 12:32:16]   =======================================================
/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-20241125_203341-e27sol2c
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run fearless-sky-553
wandb:  View project at https://wandb.ai/kaiqiu/VAR
wandb:  View run at https://wandb.ai/kaiqiu/VAR/runs/e27sol2c
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x28, 28x1280)
  triton_mm_12 0.0292 ms 100.0%
  triton_mm_7 0.0293 ms 99.8%
  triton_mm_11 0.0297 ms 98.5%
  triton_mm_6 0.0300 ms 97.5%
  triton_mm_8 0.0300 ms 97.5%
  triton_mm_4 0.0302 ms 96.7%
  triton_mm_9 0.0305 ms 95.9%
  triton_mm_16 0.0314 ms 93.2%
  triton_mm_10 0.0317 ms 92.3%
  triton_mm_14 0.0322 ms 90.8%
SingleProcess AUTOTUNE benchmarking takes 2.1769 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1280, 1280x2560)
  triton_mm_1881 0.0143 ms 100.0%
  triton_mm_1885 0.0155 ms 92.5%
  triton_mm_1889 0.0167 ms 85.5%
  triton_mm_1893 0.0172 ms 82.9%
  triton_mm_1878 0.0191 ms 75.0%
  triton_mm_1880 0.0197 ms 72.6%
  triton_mm_1884 0.0201 ms 71.1%
  triton_mm_1879 0.0204 ms 70.0%
  triton_mm_1888 0.0211 ms 67.9%
  triton_mm_1891 0.0221 ms 64.8%
SingleProcess AUTOTUNE benchmarking takes 2.2161 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768)
  bias_addmm 2.5831 ms 100.0%
  triton_mm_1911 2.6243 ms 98.4%
  triton_mm_1910 2.6368 ms 98.0%
  triton_mm_1912 2.9126 ms 88.7%
  triton_mm_1905 3.1240 ms 82.7%
  triton_mm_1907 3.2572 ms 79.3%
  addmm 3.2655 ms 79.1%
  triton_mm_1903 3.3443 ms 77.2%
  triton_mm_1908 3.6641 ms 70.5%
  triton_mm_1906 3.6683 ms 70.4%
SingleProcess AUTOTUNE benchmarking takes 3.3080 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(2560x24, 24x1280)
  triton_mm_1974 0.0132 ms 100.0%
  triton_mm_1983 0.0133 ms 99.3%
  triton_mm_1980 0.0134 ms 98.6%
  triton_mm_1977 0.0135 ms 98.1%
  triton_mm_1981 0.0138 ms 95.8%
  mm 0.0141 ms 93.9%
  triton_mm_1973 0.0141 ms 93.9%
  triton_mm_1976 0.0141 ms 93.9%
  triton_mm_1972 0.0142 ms 93.5%
  triton_mm_1968 0.0142 ms 93.3%
SingleProcess AUTOTUNE benchmarking takes 2.1967 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2560, 2560x1280)
  triton_mm_1955 0.0172 ms 100.0%
  triton_mm_1959 0.0181 ms 95.1%
  mm 0.0198 ms 86.9%
  triton_mm_1963 0.0217 ms 79.5%
  triton_mm_1954 0.0255 ms 67.7%
  triton_mm_1967 0.0264 ms 65.3%
  triton_mm_1953 0.0276 ms 62.5%
  triton_mm_1958 0.0286 ms 60.3%
  triton_mm_1962 0.0298 ms 58.0%
  triton_mm_1952 0.0311 ms 55.5%
SingleProcess AUTOTUNE benchmarking takes 2.1662 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x32768, 32768x1280)
  triton_mm_1929 2.3698 ms 100.0%
  mm 2.3786 ms 99.6%
  triton_mm_1930 2.3804 ms 99.6%
  triton_mm_1931 2.4342 ms 97.4%
  triton_mm_1925 3.0550 ms 77.6%
  triton_mm_1924 3.1475 ms 75.3%
  triton_mm_1922 3.2554 ms 72.8%
  triton_mm_1923 3.2957 ms 71.9%
  triton_mm_1927 3.3600 ms 70.5%
  triton_mm_1926 3.4938 ms 67.8%
SingleProcess AUTOTUNE benchmarking takes 3.1048 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/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/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x28, 28x1280)
  triton_mm_7 0.0283 ms 100.0%
  triton_mm_8 0.0290 ms 97.6%
  triton_mm_9 0.0295 ms 96.1%
  triton_mm_6 0.0303 ms 93.6%
  triton_mm_4 0.0304 ms 93.3%
  triton_mm_12 0.0304 ms 93.2%
  triton_mm_11 0.0306 ms 92.7%
  triton_mm_15 0.0314 ms 90.2%
  triton_mm_16 0.0315 ms 89.9%
  triton_mm_10 0.0316 ms 89.5%
SingleProcess AUTOTUNE benchmarking takes 2.1755 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1280, 1280x2560)
  triton_mm_1881 0.0144 ms 100.0%
  triton_mm_1885 0.0158 ms 91.1%
  triton_mm_1889 0.0171 ms 84.1%
  triton_mm_1893 0.0174 ms 82.5%
  triton_mm_1878 0.0199 ms 72.4%
  triton_mm_1880 0.0201 ms 71.5%
  triton_mm_1884 0.0204 ms 70.5%
  triton_mm_1879 0.0207 ms 69.3%
  triton_mm_1888 0.0212 ms 67.6%
  triton_mm_1891 0.0233 ms 61.7%
SingleProcess AUTOTUNE benchmarking takes 2.1994 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768)
  bias_addmm 2.5612 ms 100.0%
  triton_mm_1911 2.5783 ms 99.3%
  triton_mm_1910 2.6307 ms 97.4%
  triton_mm_1912 2.8700 ms 89.2%
  triton_mm_1905 3.0997 ms 82.6%
  triton_mm_1907 3.2317 ms 79.3%
  triton_mm_1903 3.3537 ms 76.4%
  addmm 3.3801 ms 75.8%
  triton_mm_1906 3.6746 ms 69.7%
  triton_mm_1908 3.6784 ms 69.6%
SingleProcess AUTOTUNE benchmarking takes 3.2871 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(32768x6864, 6864x1280)
  mm 2.2273 ms 100.0%
  triton_mm_1948 2.3295 ms 95.6%
  triton_mm_1949 2.3851 ms 93.4%
  triton_mm_1950 2.5318 ms 88.0%
  triton_mm_1943 2.9759 ms 74.8%
  triton_mm_1941 3.0259 ms 73.6%
  triton_mm_1945 3.0760 ms 72.4%
  triton_mm_1944 3.1789 ms 70.1%
  triton_mm_1946 3.2598 ms 68.3%
  triton_mm_1942 3.3208 ms 67.1%
SingleProcess AUTOTUNE benchmarking takes 3.0732 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(2560x24, 24x1280)
  triton_mm_1973 0.0149 ms 100.0%
  triton_mm_1977 0.0149 ms 99.6%
  triton_mm_1974 0.0150 ms 99.1%
  triton_mm_1978 0.0150 ms 99.1%
  triton_mm_1980 0.0150 ms 99.1%
  triton_mm_1984 0.0150 ms 99.1%
  triton_mm_1970 0.0151 ms 98.7%
  triton_mm_1981 0.0151 ms 98.7%
  triton_mm_1971 0.0151 ms 98.3%
  triton_mm_1979 0.0156 ms 95.1%
SingleProcess AUTOTUNE benchmarking takes 2.2118 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2560, 2560x1280)
  triton_mm_1955 0.0181 ms 100.0%
  triton_mm_1959 0.0188 ms 95.9%
  mm 0.0210 ms 86.1%
  triton_mm_1963 0.0224 ms 80.8%
  triton_mm_1954 0.0270 ms 66.9%
  triton_mm_1967 0.0280 ms 64.6%
  triton_mm_1953 0.0292 ms 62.0%
  triton_mm_1958 0.0302 ms 59.9%
  triton_mm_1962 0.0302 ms 59.9%
  triton_mm_1952 0.0325 ms 55.7%
SingleProcess AUTOTUNE benchmarking takes 2.1914 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x32768, 32768x1280)
  triton_mm_1929 2.3714 ms 100.0%
  mm 2.3727 ms 99.9%
  triton_mm_1930 2.3864 ms 99.4%
  triton_mm_1931 2.4425 ms 97.1%
  triton_mm_1925 3.0509 ms 77.7%
  triton_mm_1924 3.2123 ms 73.8%
  triton_mm_1923 3.2658 ms 72.6%
  triton_mm_1922 3.2664 ms 72.6%
  triton_mm_1927 3.3386 ms 71.0%
  triton_mm_1926 3.5202 ms 67.4%
SingleProcess AUTOTUNE benchmarking takes 3.1152 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/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/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(24x1280, 1280x2560)
  triton_mm_1881 0.0153 ms 100.0%
  triton_mm_1885 0.0155 ms 98.8%
  triton_mm_1889 0.0170 ms 90.2%
  triton_mm_1893 0.0183 ms 83.6%
  triton_mm_1878 0.0186 ms 82.1%
  triton_mm_1880 0.0188 ms 81.3%
  triton_mm_1884 0.0191 ms 80.2%
  triton_mm_1879 0.0196 ms 78.2%
  triton_mm_1888 0.0218 ms 70.1%
  triton_mm_1891 0.0222 ms 69.0%
SingleProcess AUTOTUNE benchmarking takes 2.1886 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768)
  bias_addmm 2.4861 ms 100.0%
  triton_mm_1911 2.5344 ms 98.1%
  triton_mm_1910 2.5600 ms 97.1%
  triton_mm_1912 2.8237 ms 88.0%
  triton_mm_1905 3.0364 ms 81.9%
  triton_mm_1907 3.1800 ms 78.2%
  addmm 3.2255 ms 77.1%
  triton_mm_1903 3.3025 ms 75.3%
  triton_mm_1906 3.6129 ms 68.8%
  triton_mm_1908 3.6246 ms 68.6%
SingleProcess AUTOTUNE benchmarking takes 3.3074 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(32768x6864, 6864x1280)
  mm 2.2056 ms 100.0%
  triton_mm_1948 2.2724 ms 97.1%
  triton_mm_1949 2.3562 ms 93.6%
  triton_mm_1950 2.4726 ms 89.2%
  triton_mm_1943 2.9214 ms 75.5%
  triton_mm_1941 2.9356 ms 75.1%
  triton_mm_1945 3.0190 ms 73.1%
  triton_mm_1944 3.0863 ms 71.5%
  triton_mm_1946 3.2062 ms 68.8%
  triton_mm_1942 3.2615 ms 67.6%
SingleProcess AUTOTUNE benchmarking takes 3.1033 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(2560x24, 24x1280)
  triton_mm_1977 0.0123 ms 100.0%
  triton_mm_1979 0.0123 ms 100.0%
  triton_mm_1974 0.0125 ms 98.5%
  triton_mm_1976 0.0125 ms 98.5%
  triton_mm_1980 0.0125 ms 98.2%
  triton_mm_1978 0.0127 ms 97.0%
  triton_mm_1981 0.0129 ms 95.3%
  triton_mm_1984 0.0129 ms 95.3%
  triton_mm_1973 0.0134 ms 91.7%
  triton_mm_1972 0.0135 ms 91.4%
SingleProcess AUTOTUNE benchmarking takes 2.1911 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2560, 2560x1280)
  triton_mm_1955 0.0167 ms 100.0%
  triton_mm_1959 0.0177 ms 94.0%
  mm 0.0191 ms 87.4%
  triton_mm_1963 0.0222 ms 75.1%
  triton_mm_1954 0.0258 ms 64.7%
  triton_mm_1953 0.0261 ms 63.8%
  triton_mm_1967 0.0262 ms 63.7%
  triton_mm_1958 0.0289 ms 57.6%
  triton_mm_1962 0.0292 ms 57.1%
  triton_mm_1952 0.0304 ms 54.9%
SingleProcess AUTOTUNE benchmarking takes 2.1679 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6840, 6840x28)
  mm 0.0407 ms 100.0%
  triton_mm_5716 0.0469 ms 86.8%
  triton_mm_5709 0.0489 ms 83.4%
  triton_mm_5707 0.0568 ms 71.7%
  triton_mm_5708 0.0648 ms 62.8%
  triton_mm_5715 0.0699 ms 58.3%
  triton_mm_5712 0.0711 ms 57.3%
  triton_mm_5706 0.0721 ms 56.5%
  triton_mm_5721 0.0744 ms 54.7%
  triton_mm_5714 0.0793 ms 51.4%
SingleProcess AUTOTUNE benchmarking takes 6.2406 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/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/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x28, 28x1280)
  triton_mm_7 0.0293 ms 100.0%
  triton_mm_9 0.0295 ms 99.3%
  triton_mm_4 0.0300 ms 97.8%
  triton_mm_8 0.0301 ms 97.6%
  triton_mm_6 0.0301 ms 97.4%
  triton_mm_12 0.0302 ms 97.1%
  triton_mm_11 0.0306 ms 96.0%
  triton_mm_15 0.0312 ms 94.0%
  triton_mm_10 0.0314 ms 93.6%
  triton_mm_3 0.0316 ms 92.8%
SingleProcess AUTOTUNE benchmarking takes 2.1844 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1280, 1280x2560)
  triton_mm_1881 0.0142 ms 100.0%
  triton_mm_1885 0.0156 ms 90.8%
  triton_mm_1889 0.0170 ms 83.6%
  triton_mm_1893 0.0175 ms 81.0%
  triton_mm_1884 0.0194 ms 73.2%
  triton_mm_1878 0.0195 ms 72.6%
  triton_mm_1879 0.0196 ms 72.1%
  triton_mm_1880 0.0197 ms 71.8%
  triton_mm_1891 0.0221 ms 64.1%
  triton_mm_1888 0.0223 ms 63.6%
SingleProcess AUTOTUNE benchmarking takes 2.1889 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768)
  bias_addmm 2.5178 ms 100.0%
  triton_mm_1911 2.5358 ms 99.3%
  triton_mm_1910 2.5988 ms 96.9%
  triton_mm_1912 2.8557 ms 88.2%
  triton_mm_1905 3.0560 ms 82.4%
  triton_mm_1907 3.2177 ms 78.2%
  addmm 3.2608 ms 77.2%
  triton_mm_1903 3.3489 ms 75.2%
  triton_mm_1908 3.6261 ms 69.4%
  triton_mm_1906 3.6294 ms 69.4%
SingleProcess AUTOTUNE benchmarking takes 3.3196 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(32768x6864, 6864x1280)
  mm 2.2082 ms 100.0%
  triton_mm_1948 2.2902 ms 96.4%
  triton_mm_1949 2.3799 ms 92.8%
  triton_mm_1950 2.4953 ms 88.5%
  triton_mm_1941 3.0182 ms 73.2%
  triton_mm_1943 3.0421 ms 72.6%
  triton_mm_1945 3.1025 ms 71.2%
  triton_mm_1944 3.1323 ms 70.5%
  triton_mm_1946 3.2467 ms 68.0%
  triton_mm_1942 3.2673 ms 67.6%
SingleProcess AUTOTUNE benchmarking takes 3.1060 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(2560x24, 24x1280)
  triton_mm_1973 0.0133 ms 100.0%
  triton_mm_1977 0.0134 ms 99.3%
  triton_mm_1979 0.0134 ms 99.0%
  triton_mm_1984 0.0135 ms 98.1%
  triton_mm_1975 0.0137 ms 96.7%
  triton_mm_1981 0.0140 ms 94.7%
  triton_mm_1980 0.0141 ms 93.9%
  triton_mm_1974 0.0143 ms 92.6%
  mm 0.0144 ms 92.4%
  triton_mm_1976 0.0144 ms 92.4%
SingleProcess AUTOTUNE benchmarking takes 2.1973 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2560, 2560x1280)
  triton_mm_1955 0.0183 ms 100.0%
  triton_mm_1959 0.0183 ms 99.7%
  mm 0.0196 ms 93.1%
  triton_mm_1963 0.0225 ms 81.1%
  triton_mm_1954 0.0256 ms 71.3%
  triton_mm_1967 0.0256 ms 71.3%
  triton_mm_1953 0.0269 ms 67.8%
  triton_mm_1958 0.0298 ms 61.4%
  triton_mm_1962 0.0300 ms 60.9%
  triton_mm_1952 0.0311 ms 58.7%
SingleProcess AUTOTUNE benchmarking takes 2.1777 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x32768, 32768x1280)
  mm 2.3331 ms 100.0%
  triton_mm_1929 2.3377 ms 99.8%
  triton_mm_1930 2.3739 ms 98.3%
  triton_mm_1931 2.4275 ms 96.1%
  triton_mm_1925 3.0420 ms 76.7%
  triton_mm_1924 3.1748 ms 73.5%
  triton_mm_1922 3.2353 ms 72.1%
  triton_mm_1923 3.2590 ms 71.6%
  triton_mm_1927 3.3264 ms 70.1%
  triton_mm_1926 3.4470 ms 67.7%
SingleProcess AUTOTUNE benchmarking takes 3.1300 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/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):

Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]AUTOTUNE mm(10260x28, 28x1280)
  triton_mm_5747 0.0395 ms 100.0%
  triton_mm_5745 0.0404 ms 97.9%
  triton_mm_5746 0.0405 ms 97.5%
  triton_mm_5751 0.0407 ms 97.1%
  triton_mm_5748 0.0409 ms 96.6%
  triton_mm_5750 0.0410 ms 96.5%
  triton_mm_5754 0.0425 ms 93.1%
  triton_mm_5743 0.0431 ms 91.6%
  triton_mm_5741 0.0442 ms 89.5%
  triton_mm_5742 0.0442 ms 89.4%
SingleProcess AUTOTUNE benchmarking takes 2.1867 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   2%|2         | 1/44 [01:24<1:00:21, 84.23s/it]AUTOTUNE mm(36x1280, 1280x7680)
  triton_mm_5733 0.0480 ms 100.0%
  triton_mm_5732 0.0481 ms 99.6%
  mm 0.0486 ms 98.7%
  triton_mm_5731 0.0497 ms 96.5%
  triton_mm_5735 0.0499 ms 96.1%
  triton_mm_5729 0.0518 ms 92.6%
  triton_mm_5736 0.0525 ms 91.3%
  triton_mm_5725 0.0558 ms 86.0%
  triton_mm_5724 0.0569 ms 84.3%
  triton_mm_5728 0.0624 ms 76.9%
SingleProcess AUTOTUNE benchmarking takes 1.7211 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10260x28, 28x1280)
  triton_mm_5745 0.0394 ms 100.0%
  triton_mm_5747 0.0394 ms 100.0%
  triton_mm_5751 0.0398 ms 99.1%
  triton_mm_5750 0.0399 ms 98.7%
  triton_mm_5746 0.0407 ms 96.9%
  triton_mm_5748 0.0410 ms 96.2%
  triton_mm_5754 0.0423 ms 93.2%
  triton_mm_5743 0.0434 ms 90.9%
  triton_mm_5741 0.0443 ms 89.1%
  triton_mm_5753 0.0453 ms 87.0%
SingleProcess AUTOTUNE benchmarking takes 2.1900 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_5772 0.8539 ms 100.0%
  bias_addmm 0.8892 ms 96.0%
  triton_mm_5769 1.0316 ms 82.8%
  triton_mm_5765 1.0515 ms 81.2%
  addmm 1.0772 ms 79.3%
  triton_mm_5773 1.0865 ms 78.6%
  triton_mm_5770 1.1414 ms 74.8%
  triton_mm_5766 1.1528 ms 74.1%
  triton_mm_5767 1.1840 ms 72.1%
  triton_mm_5762 1.3929 ms 61.3%
SingleProcess AUTOTUNE benchmarking takes 2.3652 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_5791 0.2965 ms 100.0%
  mm 0.3119 ms 95.1%
  triton_mm_5784 0.3457 ms 85.8%
  triton_mm_5788 0.3502 ms 84.7%
  triton_mm_5792 0.3739 ms 79.3%
  triton_mm_5785 0.3766 ms 78.7%
  triton_mm_5789 0.3820 ms 77.6%
  triton_mm_5786 0.3982 ms 74.4%
  triton_mm_5781 0.4619 ms 64.2%
  triton_mm_5782 0.4804 ms 61.7%
SingleProcess AUTOTUNE benchmarking takes 2.1225 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1013 ms 100.0%
  triton_mm_5846 1.1203 ms 98.3%
  triton_mm_5847 1.3227 ms 83.3%
  triton_mm_5839 1.3959 ms 78.9%
  triton_mm_5843 1.4041 ms 78.4%
  triton_mm_5840 1.4507 ms 75.9%
  triton_mm_5844 1.4577 ms 75.6%
  triton_mm_5841 1.4832 ms 74.3%
  triton_mm_5836 1.8656 ms 59.0%
  triton_mm_5837 1.8937 ms 58.2%
SingleProcess AUTOTUNE benchmarking takes 2.2816 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1015 ms 100.0%
  triton_mm_6962 1.1205 ms 98.3%
  triton_mm_6963 1.3325 ms 82.7%
  triton_mm_6955 1.3975 ms 78.8%
  triton_mm_6959 1.4053 ms 78.4%
  triton_mm_6956 1.4640 ms 75.2%
  triton_mm_6960 1.4703 ms 74.9%
  triton_mm_6957 1.4837 ms 74.2%
  triton_mm_6952 1.8663 ms 59.0%
  triton_mm_6953 1.8930 ms 58.2%
SingleProcess AUTOTUNE benchmarking takes 2.1987 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_6981 0.8597 ms 100.0%
  bias_addmm 0.8875 ms 96.9%
  triton_mm_6978 1.0434 ms 82.4%
  triton_mm_6974 1.0634 ms 80.8%
  addmm 1.0803 ms 79.6%
  triton_mm_6982 1.0914 ms 78.8%
  triton_mm_6979 1.1539 ms 74.5%
  triton_mm_6975 1.1660 ms 73.7%
  triton_mm_6976 1.1908 ms 72.2%
  triton_mm_6971 1.4063 ms 61.1%
SingleProcess AUTOTUNE benchmarking takes 2.2763 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_7000 0.2962 ms 100.0%
  mm 0.3132 ms 94.6%
  triton_mm_6993 0.3467 ms 85.4%
  triton_mm_6997 0.3508 ms 84.4%
  triton_mm_7001 0.3766 ms 78.6%
  triton_mm_6994 0.3783 ms 78.3%
  triton_mm_6998 0.3830 ms 77.3%
  triton_mm_6995 0.4001 ms 74.0%
  triton_mm_6990 0.4625 ms 64.0%
  triton_mm_6991 0.4813 ms 61.5%
SingleProcess AUTOTUNE benchmarking takes 2.0403 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  triton_mm_7014 0.0479 ms 100.0%
  triton_mm_7013 0.0480 ms 99.6%
  mm 0.0481 ms 99.5%
  triton_mm_7012 0.0497 ms 96.3%
  triton_mm_7016 0.0508 ms 94.3%
  triton_mm_7010 0.0512 ms 93.4%
  triton_mm_7017 0.0529 ms 90.6%
  triton_mm_7006 0.0565 ms 84.8%
  triton_mm_7005 0.0571 ms 83.9%
  triton_mm_7009 0.0623 ms 76.8%
SingleProcess AUTOTUNE benchmarking takes 1.6557 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x2560)
  triton_mm_7563 0.0245 ms 100.0%
  triton_mm_7564 0.0247 ms 99.5%
  mm 0.0256 ms 95.9%
  triton_mm_7562 0.0270 ms 90.9%
  triton_mm_7568 0.0275 ms 89.3%
  triton_mm_7575 0.0281 ms 87.5%
  triton_mm_7572 0.0302 ms 81.4%
  triton_mm_7574 0.0316 ms 77.7%
  triton_mm_7571 0.0325 ms 75.5%
  triton_mm_7570 0.0354 ms 69.4%
SingleProcess AUTOTUNE benchmarking takes 1.7124 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x32768, 10296x1280, 1280x32768)
  triton_mm_7632 7.2331 ms 100.0%
  bias_addmm 7.2932 ms 99.2%
  addmm 8.6041 ms 84.1%
  triton_mm_7629 8.8126 ms 82.1%
  triton_mm_7625 9.0336 ms 80.1%
  triton_mm_7633 9.0923 ms 79.6%
  triton_mm_7630 9.6549 ms 74.9%
  triton_mm_7626 9.8313 ms 73.6%
  triton_mm_7627 9.9052 ms 73.0%
  triton_mm_7622 11.8885 ms 60.8%
SingleProcess AUTOTUNE benchmarking takes 3.3814 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   2%|2         | 1/44 [01:24<1:00:22, 84.24s/it]AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5827 1.1427 ms 100.0%
  mm 1.2846 ms 89.0%
  triton_mm_5824 1.3975 ms 81.8%
  triton_mm_5820 1.4092 ms 81.1%
  triton_mm_5828 1.4432 ms 79.2%
  triton_mm_5821 1.5304 ms 74.7%
  triton_mm_5825 1.5426 ms 74.1%
  triton_mm_5822 1.5724 ms 72.7%
  triton_mm_5817 1.8591 ms 61.5%
  triton_mm_5818 1.9375 ms 59.0%
SingleProcess AUTOTUNE benchmarking takes 2.2816 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5920 1.1450 ms 100.0%
  mm 1.1922 ms 96.0%
  triton_mm_5917 1.3987 ms 81.9%
  triton_mm_5913 1.4100 ms 81.2%
  triton_mm_5921 1.4593 ms 78.5%
  triton_mm_5918 1.5253 ms 75.1%
  triton_mm_5914 1.5453 ms 74.1%
  triton_mm_5915 1.5929 ms 71.9%
  triton_mm_5910 1.8598 ms 61.6%
  triton_mm_5919 1.9478 ms 58.8%
SingleProcess AUTOTUNE benchmarking takes 2.1985 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_6385 1.1464 ms 100.0%
  mm 1.1929 ms 96.1%
  triton_mm_6382 1.3983 ms 82.0%
  triton_mm_6378 1.4104 ms 81.3%
  triton_mm_6386 1.4536 ms 78.9%
  triton_mm_6383 1.5432 ms 74.3%
  triton_mm_6379 1.5468 ms 74.1%
  triton_mm_6380 1.5945 ms 71.9%
  triton_mm_6375 1.8773 ms 61.1%
  triton_mm_6384 1.9454 ms 58.9%
SingleProcess AUTOTUNE benchmarking takes 2.1954 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10260x28, 28x1280)
  triton_mm_5746 0.0393 ms 100.0%
  triton_mm_5745 0.0394 ms 99.8%
  triton_mm_5750 0.0396 ms 99.1%
  triton_mm_5751 0.0398 ms 98.8%
  triton_mm_5747 0.0405 ms 97.1%
  triton_mm_5748 0.0407 ms 96.6%
  triton_mm_5754 0.0425 ms 92.5%
  triton_mm_5743 0.0432 ms 91.0%
  triton_mm_5741 0.0441 ms 89.1%
  triton_mm_5742 0.0453 ms 86.7%
SingleProcess AUTOTUNE benchmarking takes 2.2096 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x32768, 10296x1280, 1280x32768)
  triton_mm_7632 7.2944 ms 100.0%
  bias_addmm 7.3560 ms 99.2%
  addmm 8.6949 ms 83.9%
  triton_mm_7629 8.9403 ms 81.6%
  triton_mm_7625 9.1051 ms 80.1%
  triton_mm_7633 9.2199 ms 79.1%
  triton_mm_7630 9.7742 ms 74.6%
  triton_mm_7626 9.9313 ms 73.4%
  triton_mm_7627 10.0719 ms 72.4%
  triton_mm_7631 12.1399 ms 60.1%
SingleProcess AUTOTUNE benchmarking takes 3.4114 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   2%|2         | 1/44 [01:24<1:00:22, 84.25s/it]AUTOTUNE mm(36x1280, 1280x7680)
  triton_mm_5733 0.0478 ms 100.0%
  triton_mm_5732 0.0479 ms 99.8%
  mm 0.0484 ms 98.6%
  triton_mm_5731 0.0500 ms 95.6%
  triton_mm_5735 0.0501 ms 95.4%
  triton_mm_5729 0.0512 ms 93.4%
  triton_mm_5736 0.0527 ms 90.7%
  triton_mm_5725 0.0562 ms 85.0%
  triton_mm_5724 0.0569 ms 83.9%
  triton_mm_5728 0.0618 ms 77.3%
SingleProcess AUTOTUNE benchmarking takes 1.7170 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10260x28, 28x1280)
  triton_mm_5745 0.0396 ms 100.0%
  triton_mm_5751 0.0396 ms 100.0%
  triton_mm_5748 0.0398 ms 99.6%
  triton_mm_5746 0.0406 ms 97.6%
  triton_mm_5747 0.0408 ms 97.3%
  triton_mm_5750 0.0409 ms 96.9%
  triton_mm_5743 0.0420 ms 94.3%
  triton_mm_5754 0.0429 ms 92.5%
  triton_mm_5742 0.0444 ms 89.3%
  triton_mm_5741 0.0450 ms 88.0%
SingleProcess AUTOTUNE benchmarking takes 2.2000 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_5772 0.8703 ms 100.0%
  bias_addmm 0.8902 ms 97.8%
  triton_mm_5769 1.0458 ms 83.2%
  triton_mm_5765 1.0648 ms 81.7%
  addmm 1.0835 ms 80.3%
  triton_mm_5773 1.1113 ms 78.3%
  triton_mm_5770 1.1498 ms 75.7%
  triton_mm_5766 1.1577 ms 75.2%
  triton_mm_5767 1.1948 ms 72.8%
  triton_mm_5762 1.4174 ms 61.4%
SingleProcess AUTOTUNE benchmarking takes 2.3728 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_5791 0.2977 ms 100.0%
  mm 0.3149 ms 94.5%
  triton_mm_5784 0.3495 ms 85.2%
  triton_mm_5788 0.3531 ms 84.3%
  triton_mm_5792 0.3769 ms 79.0%
  triton_mm_5785 0.3803 ms 78.3%
  triton_mm_5789 0.3860 ms 77.1%
  triton_mm_5786 0.3964 ms 75.1%
  triton_mm_5781 0.4687 ms 63.5%
  triton_mm_5782 0.4840 ms 61.5%
SingleProcess AUTOTUNE benchmarking takes 2.1161 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1114 ms 100.0%
  triton_mm_5846 1.1245 ms 98.8%
  triton_mm_5847 1.3401 ms 82.9%
  triton_mm_5839 1.4094 ms 78.9%
  triton_mm_5843 1.4102 ms 78.8%
  triton_mm_5840 1.4648 ms 75.9%
  triton_mm_5844 1.4756 ms 75.3%
  triton_mm_5841 1.5080 ms 73.7%
  triton_mm_5836 1.8789 ms 59.1%
  triton_mm_5837 1.9042 ms 58.4%
SingleProcess AUTOTUNE benchmarking takes 2.2846 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x2560)
  triton_mm_7564 0.0239 ms 100.0%
  mm 0.0254 ms 93.8%
  triton_mm_7563 0.0254 ms 93.8%
  triton_mm_7568 0.0263 ms 90.9%
  triton_mm_7562 0.0274 ms 87.1%
  triton_mm_7575 0.0289 ms 82.5%
  triton_mm_7572 0.0299 ms 79.8%
  triton_mm_7571 0.0321 ms 74.4%
  triton_mm_7574 0.0321 ms 74.3%
  triton_mm_7570 0.0353 ms 67.6%
SingleProcess AUTOTUNE benchmarking takes 1.6948 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x32768, 10296x1280, 1280x32768)
  triton_mm_7632 7.2860 ms 100.0%
  bias_addmm 7.3461 ms 99.2%
  addmm 8.6012 ms 84.7%
  triton_mm_7629 8.9325 ms 81.6%
  triton_mm_7625 9.1109 ms 80.0%
  triton_mm_7633 9.1490 ms 79.6%
  triton_mm_7630 9.7538 ms 74.7%
  triton_mm_7626 9.9310 ms 73.4%
  triton_mm_7627 10.1716 ms 71.6%
  triton_mm_7631 12.1069 ms 60.2%
SingleProcess AUTOTUNE benchmarking takes 3.4013 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   2%|2         | 1/44 [01:24<1:00:26, 84.34s/it]/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/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   5%|4         | 2/44 [01:27<25:35, 36.55s/it]  /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/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   5%|4         | 2/44 [01:27<25:35, 36.55s/it]  /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/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   5%|4         | 2/44 [01:27<25:35, 36.56s/it]  /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/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   5%|4         | 2/44 [01:27<25:36, 36.59s/it]  /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):

Validation Progress:   7%|6         | 3/44 [01:28<13:55, 20.39s/it]/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):

Validation Progress:   7%|6         | 3/44 [01:28<13:56, 20.39s/it]/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):

Validation Progress:   7%|6         | 3/44 [01:28<13:56, 20.39s/it]/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):

Validation Progress:   7%|6         | 3/44 [01:28<13:56, 20.41s/it]
Validation Progress:   9%|9         | 4/44 [01:29<08:32, 12.81s/it]
Validation Progress:   9%|9         | 4/44 [01:29<08:32, 12.81s/it]
Validation Progress:   9%|9         | 4/44 [01:29<08:32, 12.81s/it]
Validation Progress:   9%|9         | 4/44 [01:29<08:32, 12.82s/it]
Validation Progress:  11%|#1        | 5/44 [01:31<05:38,  8.68s/it]
Validation Progress:  11%|#1        | 5/44 [01:31<05:38,  8.68s/it]
Validation Progress:  11%|#1        | 5/44 [01:31<05:38,  8.68s/it]
Validation Progress:  11%|#1        | 5/44 [01:31<05:38,  8.69s/it]
Validation Progress:  14%|#3        | 6/44 [01:32<03:52,  6.11s/it]
Validation Progress:  14%|#3        | 6/44 [01:32<03:52,  6.11s/it]
Validation Progress:  14%|#3        | 6/44 [01:32<03:52,  6.11s/it]
Validation Progress:  14%|#3        | 6/44 [01:32<03:52,  6.11s/it]
Validation Progress:  16%|#5        | 7/44 [01:33<02:47,  4.54s/it]
Validation Progress:  16%|#5        | 7/44 [01:33<02:47,  4.54s/it]
Validation Progress:  16%|#5        | 7/44 [01:33<02:47,  4.54s/it]
Validation Progress:  16%|#5        | 7/44 [01:33<02:47,  4.54s/it]
Validation Progress:  18%|#8        | 8/44 [01:34<02:04,  3.46s/it]
Validation Progress:  18%|#8        | 8/44 [01:34<02:04,  3.46s/it]
Validation Progress:  18%|#8        | 8/44 [01:34<02:04,  3.46s/it]
Validation Progress:  18%|#8        | 8/44 [01:34<02:04,  3.46s/it]
Validation Progress:  20%|##        | 9/44 [01:35<01:35,  2.74s/it]
Validation Progress:  20%|##        | 9/44 [01:35<01:35,  2.74s/it]
Validation Progress:  20%|##        | 9/44 [01:35<01:35,  2.74s/it]
Validation Progress:  20%|##        | 9/44 [01:35<01:36,  2.74s/it]
Validation Progress:  23%|##2       | 10/44 [01:36<01:16,  2.24s/it]
Validation Progress:  23%|##2       | 10/44 [01:36<01:16,  2.24s/it]
Validation Progress:  23%|##2       | 10/44 [01:37<01:16,  2.25s/it]
Validation Progress:  23%|##2       | 10/44 [01:37<01:17,  2.27s/it]
Validation Progress:  25%|##5       | 11/44 [01:38<01:03,  1.91s/it]
Validation Progress:  25%|##5       | 11/44 [01:38<01:03,  1.93s/it]
Validation Progress:  25%|##5       | 11/44 [01:38<01:04,  1.95s/it]
Validation Progress:  25%|##5       | 11/44 [01:38<01:04,  1.94s/it]
Validation Progress:  27%|##7       | 12/44 [01:39<00:54,  1.72s/it]
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Validation Progress: 100%|##########| 44/44 [02:22<00:00,  1.25s/it]
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 12%|#2        | 94/781 [00:05<00:41, 16.72it/s]
 12%|#2        | 96/781 [00:05<00:41, 16.59it/s]
 13%|#2        | 98/781 [00:05<00:41, 16.54it/s]
 13%|#2        | 100/781 [00:06<00:41, 16.50it/s]
 13%|#3        | 102/781 [00:06<00:40, 16.68it/s]
 13%|#3        | 104/781 [00:06<00:40, 16.70it/s]
 14%|#3        | 106/781 [00:06<00:40, 16.73it/s]
 14%|#3        | 108/781 [00:06<00:40, 16.59it/s]
 14%|#4        | 110/781 [00:06<00:40, 16.63it/s]
 14%|#4        | 112/781 [00:06<00:40, 16.68it/s]
 15%|#4        | 114/781 [00:06<00:40, 16.53it/s]
 15%|#4        | 116/781 [00:07<00:40, 16.49it/s]
 15%|#5        | 118/781 [00:07<00:40, 16.44it/s]
 15%|#5        | 120/781 [00:07<00:40, 16.39it/s]
 16%|#5        | 122/781 [00:07<00:40, 16.35it/s]
 16%|#5        | 124/781 [00:07<00:40, 16.27it/s]
 16%|#6        | 126/781 [00:07<00:40, 16.31it/s]
 16%|#6        | 128/781 [00:07<00:39, 16.35it/s]
 17%|#6        | 130/781 [00:07<00:40, 16.23it/s]
 17%|#6        | 132/781 [00:08<00:39, 16.33it/s]
 17%|#7        | 134/781 [00:08<00:39, 16.34it/s]
 17%|#7        | 136/781 [00:08<00:39, 16.33it/s]
 18%|#7        | 138/781 [00:08<00:39, 16.20it/s]
 18%|#7        | 140/781 [00:08<00:39, 16.26it/s]
 18%|#8        | 142/781 [00:08<00:39, 16.19it/s]
 18%|#8        | 144/781 [00:08<00:39, 16.18it/s]
 19%|#8        | 146/781 [00:08<00:39, 16.17it/s]
 19%|#8        | 148/781 [00:09<00:39, 16.20it/s]
 19%|#9        | 150/781 [00:09<00:38, 16.35it/s]
 19%|#9        | 152/781 [00:09<00:38, 16.32it/s]
 20%|#9        | 154/781 [00:09<00:38, 16.49it/s]
 20%|#9        | 156/781 [00:09<00:38, 16.42it/s]
 20%|##        | 158/781 [00:09<00:38, 16.28it/s]
 20%|##        | 160/781 [00:09<00:38, 16.20it/s]
 21%|##        | 162/781 [00:09<00:38, 16.13it/s]
 21%|##        | 164/781 [00:10<00:38, 16.20it/s]
 21%|##1       | 166/781 [00:10<00:37, 16.20it/s]
 22%|##1       | 168/781 [00:10<00:37, 16.23it/s]
 22%|##1       | 170/781 [00:10<00:37, 16.26it/s]
 22%|##2       | 172/781 [00:10<00:37, 16.39it/s]
 22%|##2       | 174/781 [00:10<00:37, 16.40it/s]
 23%|##2       | 176/781 [00:10<00:36, 16.49it/s]
 23%|##2       | 178/781 [00:10<00:36, 16.44it/s]
 23%|##3       | 180/781 [00:10<00:36, 16.56it/s]
 23%|##3       | 182/781 [00:11<00:36, 16.47it/s]
 24%|##3       | 184/781 [00:11<00:36, 16.55it/s]
 24%|##3       | 186/781 [00:11<00:36, 16.49it/s]
 24%|##4       | 188/781 [00:11<00:35, 16.56it/s]
 24%|##4       | 190/781 [00:11<00:35, 16.49it/s]
 25%|##4       | 192/781 [00:11<00:35, 16.45it/s]
 25%|##4       | 194/781 [00:11<00:35, 16.42it/s]
 25%|##5       | 196/781 [00:11<00:35, 16.42it/s]
 25%|##5       | 198/781 [00:12<00:35, 16.41it/s]
 26%|##5       | 200/781 [00:12<00:35, 16.40it/s]
 26%|##5       | 202/781 [00:12<00:35, 16.34it/s]
 26%|##6       | 204/781 [00:12<00:35, 16.33it/s]
 26%|##6       | 206/781 [00:12<00:34, 16.47it/s]
 27%|##6       | 208/781 [00:12<00:34, 16.42it/s]
 27%|##6       | 210/781 [00:12<00:34, 16.37it/s]
 27%|##7       | 212/781 [00:12<00:34, 16.36it/s]
 27%|##7       | 214/781 [00:13<00:34, 16.34it/s]
 28%|##7       | 216/781 [00:13<00:34, 16.47it/s]
 28%|##7       | 218/781 [00:13<00:34, 16.54it/s]
 28%|##8       | 220/781 [00:13<00:34, 16.50it/s]
 28%|##8       | 222/781 [00:13<00:33, 16.56it/s]
 29%|##8       | 224/781 [00:13<00:33, 16.60it/s]
 29%|##8       | 226/781 [00:13<00:33, 16.44it/s]
 29%|##9       | 228/781 [00:13<00:33, 16.40it/s]
 29%|##9       | 230/781 [00:14<00:33, 16.51it/s]
 30%|##9       | 232/781 [00:14<00:33, 16.46it/s]
 30%|##9       | 234/781 [00:14<00:33, 16.55it/s]
 30%|###       | 236/781 [00:14<00:33, 16.51it/s]
 30%|###       | 238/781 [00:14<00:32, 16.50it/s]
 31%|###       | 240/781 [00:14<00:32, 16.62it/s]
 31%|###       | 242/781 [00:14<00:32, 16.53it/s]
 31%|###1      | 244/781 [00:14<00:32, 16.50it/s]
 31%|###1      | 246/781 [00:14<00:32, 16.45it/s]
 32%|###1      | 248/781 [00:15<00:31, 16.66it/s]
 32%|###2      | 250/781 [00:15<00:32, 16.57it/s]
 32%|###2      | 252/781 [00:15<00:32, 16.51it/s]
 33%|###2      | 254/781 [00:15<00:31, 16.61it/s]
 33%|###2      | 256/781 [00:15<00:31, 16.52it/s]
 33%|###3      | 258/781 [00:15<00:31, 16.52it/s]
 33%|###3      | 260/781 [00:15<00:32, 16.28it/s]
 34%|###3      | 262/781 [00:16<00:41, 12.46it/s]
 34%|###3      | 264/781 [00:16<00:38, 13.57it/s]
 34%|###4      | 266/781 [00:16<00:35, 14.47it/s]
 34%|###4      | 268/781 [00:16<00:33, 15.10it/s]
 35%|###4      | 270/781 [00:16<00:33, 15.46it/s]
 35%|###4      | 272/781 [00:16<00:32, 15.75it/s]
 35%|###5      | 274/781 [00:16<00:31, 16.03it/s]
 35%|###5      | 276/781 [00:16<00:31, 16.03it/s]
 36%|###5      | 278/781 [00:17<00:30, 16.32it/s]
 36%|###5      | 280/781 [00:17<00:30, 16.30it/s]
 36%|###6      | 282/781 [00:17<00:30, 16.27it/s]
 36%|###6      | 284/781 [00:17<00:30, 16.40it/s]
 37%|###6      | 286/781 [00:17<00:30, 16.32it/s]
 37%|###6      | 288/781 [00:17<00:30, 16.21it/s]
 37%|###7      | 290/781 [00:17<00:30, 16.13it/s]
 37%|###7      | 292/781 [00:17<00:29, 16.36it/s]
 38%|###7      | 294/781 [00:18<00:29, 16.42it/s]
 38%|###7      | 296/781 [00:18<00:29, 16.49it/s]
 38%|###8      | 298/781 [00:18<00:29, 16.54it/s]
 38%|###8      | 300/781 [00:18<00:28, 16.61it/s]
 39%|###8      | 302/781 [00:18<00:28, 16.62it/s]
 39%|###8      | 304/781 [00:18<00:29, 16.44it/s]
 39%|###9      | 306/781 [00:18<00:28, 16.49it/s]
 39%|###9      | 308/781 [00:18<00:28, 16.41it/s]
 40%|###9      | 310/781 [00:18<00:28, 16.49it/s]
 40%|###9      | 312/781 [00:19<00:28, 16.43it/s]
 40%|####      | 314/781 [00:19<00:28, 16.62it/s]
 40%|####      | 316/781 [00:19<00:27, 16.65it/s]
 41%|####      | 318/781 [00:19<00:27, 16.56it/s]
 41%|####      | 320/781 [00:19<00:27, 16.72it/s]
 41%|####1     | 322/781 [00:19<00:27, 16.71it/s]
 41%|####1     | 324/781 [00:19<00:27, 16.72it/s]
 42%|####1     | 326/781 [00:19<00:27, 16.48it/s]
 42%|####1     | 328/781 [00:20<00:27, 16.44it/s]
 42%|####2     | 330/781 [00:20<00:27, 16.30it/s]
 43%|####2     | 332/781 [00:20<00:27, 16.19it/s]
 43%|####2     | 334/781 [00:20<00:27, 16.39it/s]
 43%|####3     | 336/781 [00:20<00:26, 16.49it/s]
 43%|####3     | 338/781 [00:20<00:27, 16.36it/s]
 44%|####3     | 340/781 [00:20<00:26, 16.59it/s]
 44%|####3     | 342/781 [00:20<00:26, 16.60it/s]
 44%|####4     | 344/781 [00:21<00:26, 16.74it/s]
 44%|####4     | 346/781 [00:21<00:26, 16.72it/s]
 45%|####4     | 348/781 [00:21<00:25, 16.83it/s]
 45%|####4     | 350/781 [00:21<00:25, 16.67it/s]
 45%|####5     | 352/781 [00:21<00:25, 16.58it/s]
 45%|####5     | 354/781 [00:21<00:25, 16.62it/s]
 46%|####5     | 356/781 [00:21<00:25, 16.75it/s]
 46%|####5     | 358/781 [00:21<00:25, 16.74it/s]
 46%|####6     | 360/781 [00:21<00:25, 16.76it/s]
 46%|####6     | 362/781 [00:22<00:24, 16.78it/s]
 47%|####6     | 364/781 [00:22<00:24, 16.74it/s]
 47%|####6     | 366/781 [00:22<00:24, 16.61it/s]
 47%|####7     | 368/781 [00:22<00:24, 16.67it/s]
 47%|####7     | 370/781 [00:22<00:24, 16.80it/s]
 48%|####7     | 372/781 [00:22<00:24, 16.76it/s]
 48%|####7     | 374/781 [00:22<00:24, 16.63it/s]
 48%|####8     | 376/781 [00:22<00:24, 16.70it/s]
 48%|####8     | 378/781 [00:23<00:23, 16.84it/s]
 49%|####8     | 380/781 [00:23<00:23, 16.77it/s]
 49%|####8     | 382/781 [00:23<00:24, 16.61it/s]
 49%|####9     | 384/781 [00:23<00:23, 16.70it/s]
 49%|####9     | 386/781 [00:23<00:24, 16.46it/s]
 50%|####9     | 388/781 [00:23<00:23, 16.50it/s]
 50%|####9     | 390/781 [00:23<00:23, 16.48it/s]
 50%|#####     | 392/781 [00:23<00:23, 16.56it/s]
 50%|#####     | 394/781 [00:24<00:23, 16.60it/s]
 51%|#####     | 396/781 [00:24<00:23, 16.63it/s]
 51%|#####     | 398/781 [00:24<00:22, 16.67it/s]
 51%|#####1    | 400/781 [00:24<00:22, 16.80it/s]
 51%|#####1    | 402/781 [00:24<00:22, 16.66it/s]
 52%|#####1    | 404/781 [00:24<00:22, 16.58it/s]
 52%|#####1    | 406/781 [00:24<00:22, 16.77it/s]
 52%|#####2    | 408/781 [00:24<00:22, 16.63it/s]
 52%|#####2    | 410/781 [00:24<00:22, 16.65it/s]
 53%|#####2    | 412/781 [00:25<00:22, 16.46it/s]
 53%|#####3    | 414/781 [00:25<00:22, 16.59it/s]
 53%|#####3    | 416/781 [00:25<00:21, 16.72it/s]
 54%|#####3    | 418/781 [00:25<00:21, 16.59it/s]
 54%|#####3    | 420/781 [00:25<00:21, 16.51it/s]
 54%|#####4    | 422/781 [00:25<00:21, 16.44it/s]
 54%|#####4    | 424/781 [00:25<00:21, 16.42it/s]
 55%|#####4    | 426/781 [00:25<00:21, 16.39it/s]
 55%|#####4    | 428/781 [00:26<00:21, 16.48it/s]
 55%|#####5    | 430/781 [00:26<00:21, 16.49it/s]
 55%|#####5    | 432/781 [00:26<00:21, 16.42it/s]
 56%|#####5    | 434/781 [00:26<00:21, 16.49it/s]
 56%|#####5    | 436/781 [00:26<00:20, 16.47it/s]
 56%|#####6    | 438/781 [00:26<00:20, 16.46it/s]
 56%|#####6    | 440/781 [00:26<00:20, 16.54it/s]
 57%|#####6    | 442/781 [00:26<00:20, 16.39it/s]
 57%|#####6    | 444/781 [00:27<00:20, 16.37it/s]
 57%|#####7    | 446/781 [00:27<00:20, 16.61it/s]
 57%|#####7    | 448/781 [00:27<00:20, 16.41it/s]
 58%|#####7    | 450/781 [00:27<00:20, 16.36it/s]
 58%|#####7    | 452/781 [00:27<00:20, 16.32it/s]
 58%|#####8    | 454/781 [00:27<00:20, 16.30it/s]
 58%|#####8    | 456/781 [00:27<00:19, 16.41it/s]
 59%|#####8    | 458/781 [00:27<00:19, 16.39it/s]
 59%|#####8    | 460/781 [00:28<00:19, 16.39it/s]
 59%|#####9    | 462/781 [00:28<00:19, 16.39it/s]
 59%|#####9    | 464/781 [00:28<00:19, 16.42it/s]
 60%|#####9    | 466/781 [00:28<00:19, 16.52it/s]
 60%|#####9    | 468/781 [00:28<00:18, 16.62it/s]
 60%|######    | 470/781 [00:28<00:18, 16.65it/s]
 60%|######    | 472/781 [00:28<00:18, 16.65it/s]
 61%|######    | 474/781 [00:28<00:18, 16.53it/s]
 61%|######    | 476/781 [00:29<00:18, 16.16it/s]
 61%|######1   | 478/781 [00:29<00:18, 16.16it/s]
 61%|######1   | 480/781 [00:29<00:18, 16.17it/s]
 62%|######1   | 482/781 [00:29<00:18, 16.07it/s]
 62%|######1   | 484/781 [00:29<00:18, 16.04it/s]
 62%|######2   | 486/781 [00:29<00:18, 16.00it/s]
 62%|######2   | 488/781 [00:29<00:18, 15.96it/s]
 63%|######2   | 490/781 [00:29<00:18, 16.06it/s]
 63%|######2   | 492/781 [00:30<00:17, 16.18it/s]
 63%|######3   | 494/781 [00:30<00:17, 16.30it/s]
 64%|######3   | 496/781 [00:30<00:17, 16.52it/s]
 64%|######3   | 498/781 [00:30<00:17, 16.45it/s]
 64%|######4   | 500/781 [00:30<00:17, 16.46it/s]
 64%|######4   | 502/781 [00:30<00:17, 16.39it/s]
 65%|######4   | 504/781 [00:30<00:16, 16.46it/s]
 65%|######4   | 506/781 [00:30<00:16, 16.39it/s]
 65%|######5   | 508/781 [00:30<00:16, 16.35it/s]
 65%|######5   | 510/781 [00:31<00:16, 16.44it/s]
 66%|######5   | 512/781 [00:31<00:16, 16.44it/s]
 66%|######5   | 514/781 [00:31<00:16, 16.37it/s]
 66%|######6   | 516/781 [00:31<00:16, 16.37it/s]
 66%|######6   | 518/781 [00:31<00:15, 16.45it/s]
 67%|######6   | 520/781 [00:31<00:25, 10.06it/s]
 67%|######6   | 522/781 [00:32<00:22, 11.39it/s]
 67%|######7   | 524/781 [00:32<00:20, 12.54it/s]
 67%|######7   | 526/781 [00:32<00:18, 13.51it/s]
 68%|######7   | 528/781 [00:32<00:17, 14.13it/s]
 68%|######7   | 530/781 [00:32<00:17, 14.71it/s]
 68%|######8   | 532/781 [00:32<00:16, 15.20it/s]
 68%|######8   | 534/781 [00:32<00:15, 15.62it/s]
 69%|######8   | 536/781 [00:32<00:15, 15.99it/s]
 69%|######8   | 538/781 [00:33<00:15, 15.96it/s]
 69%|######9   | 540/781 [00:33<00:14, 16.21it/s]
 69%|######9   | 542/781 [00:33<00:14, 16.22it/s]
 70%|######9   | 544/781 [00:33<00:14, 16.32it/s]
 70%|######9   | 546/781 [00:33<00:14, 16.40it/s]
 70%|#######   | 548/781 [00:33<00:14, 16.36it/s]
 70%|#######   | 550/781 [00:33<00:14, 16.32it/s]
 71%|#######   | 552/781 [00:33<00:14, 16.29it/s]
 71%|#######   | 554/781 [00:34<00:13, 16.54it/s]
 71%|#######1  | 556/781 [00:34<00:13, 16.59it/s]
 71%|#######1  | 558/781 [00:34<00:13, 16.51it/s]
 72%|#######1  | 560/781 [00:34<00:13, 16.46it/s]
 72%|#######1  | 562/781 [00:34<00:13, 16.41it/s]
 72%|#######2  | 564/781 [00:34<00:13, 16.50it/s]
 72%|#######2  | 566/781 [00:34<00:13, 16.40it/s]
 73%|#######2  | 568/781 [00:34<00:13, 16.34it/s]
 73%|#######2  | 570/781 [00:35<00:12, 16.43it/s]
 73%|#######3  | 572/781 [00:35<00:12, 16.38it/s]
 73%|#######3  | 574/781 [00:35<00:12, 16.35it/s]
 74%|#######3  | 576/781 [00:35<00:12, 16.46it/s]
 74%|#######4  | 578/781 [00:35<00:12, 16.64it/s]
 74%|#######4  | 580/781 [00:35<00:12, 16.65it/s]
 75%|#######4  | 582/781 [00:35<00:11, 16.78it/s]
 75%|#######4  | 584/781 [00:35<00:11, 16.63it/s]
 75%|#######5  | 586/781 [00:35<00:11, 16.62it/s]
 75%|#######5  | 588/781 [00:36<00:11, 16.75it/s]
 76%|#######5  | 590/781 [00:36<00:11, 16.84it/s]
 76%|#######5  | 592/781 [00:36<00:11, 16.79it/s]
 76%|#######6  | 594/781 [00:36<00:11, 16.90it/s]
 76%|#######6  | 596/781 [00:36<00:10, 16.96it/s]
 77%|#######6  | 598/781 [00:36<00:10, 16.99it/s]
 77%|#######6  | 600/781 [00:36<00:10, 16.86it/s]
 77%|#######7  | 602/781 [00:36<00:10, 16.64it/s]
 77%|#######7  | 604/781 [00:37<00:10, 16.64it/s]
 78%|#######7  | 606/781 [00:37<00:10, 16.57it/s]
 78%|#######7  | 608/781 [00:37<00:10, 16.57it/s]
 78%|#######8  | 610/781 [00:37<00:10, 16.58it/s]
 78%|#######8  | 612/781 [00:37<00:10, 16.63it/s]
 79%|#######8  | 614/781 [00:37<00:10, 16.54it/s]
 79%|#######8  | 616/781 [00:37<00:10, 16.48it/s]
 79%|#######9  | 618/781 [00:37<00:09, 16.54it/s]
 79%|#######9  | 620/781 [00:38<00:09, 16.61it/s]
 80%|#######9  | 622/781 [00:38<00:09, 16.66it/s]
 80%|#######9  | 624/781 [00:38<00:09, 16.67it/s]
 80%|########  | 626/781 [00:38<00:09, 16.70it/s]
 80%|########  | 628/781 [00:38<00:09, 16.53it/s]
 81%|########  | 630/781 [00:38<00:09, 16.37it/s]
 81%|########  | 632/781 [00:38<00:09, 16.19it/s]
 81%|########1 | 634/781 [00:38<00:08, 16.34it/s]
 81%|########1 | 636/781 [00:38<00:08, 16.38it/s]
 82%|########1 | 638/781 [00:39<00:08, 16.51it/s]
 82%|########1 | 640/781 [00:39<00:08, 16.57it/s]
 82%|########2 | 642/781 [00:39<00:08, 16.51it/s]
 82%|########2 | 644/781 [00:39<00:08, 16.49it/s]
 83%|########2 | 646/781 [00:39<00:08, 16.56it/s]
 83%|########2 | 648/781 [00:39<00:07, 16.74it/s]
 83%|########3 | 650/781 [00:39<00:07, 16.87it/s]
 83%|########3 | 652/781 [00:39<00:07, 16.90it/s]
 84%|########3 | 654/781 [00:40<00:07, 16.63it/s]
 84%|########3 | 656/781 [00:40<00:07, 16.57it/s]
 84%|########4 | 658/781 [00:40<00:07, 16.40it/s]
 85%|########4 | 660/781 [00:40<00:07, 16.31it/s]
 85%|########4 | 662/781 [00:40<00:07, 16.37it/s]
 85%|########5 | 664/781 [00:40<00:07, 16.41it/s]
 85%|########5 | 666/781 [00:40<00:06, 16.46it/s]
 86%|########5 | 668/781 [00:40<00:06, 16.49it/s]
 86%|########5 | 670/781 [00:41<00:06, 16.69it/s]
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Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.40s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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: 100%|##########| 44/44 [00:59<00:00,  1.73s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
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  with torch.cuda.amp.autocast(enabled=False):

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  8%|7         | 12/157 [00:00<00:08, 16.84it/s]
  9%|8         | 14/157 [00:00<00:08, 16.81it/s]
 10%|#         | 16/157 [00:00<00:08, 16.82it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.84it/s]
 13%|#2        | 20/157 [00:01<00:08, 17.08it/s]
 14%|#4        | 22/157 [00:01<00:08, 16.86it/s]
 15%|#5        | 24/157 [00:01<00:07, 16.76it/s]
 17%|#6        | 26/157 [00:01<00:07, 16.66it/s]
 18%|#7        | 28/157 [00:01<00:07, 16.47it/s]
 19%|#9        | 30/157 [00:01<00:07, 16.57it/s]
 20%|##        | 32/157 [00:01<00:07, 16.66it/s]
 22%|##1       | 34/157 [00:02<00:07, 16.70it/s]
 23%|##2       | 36/157 [00:02<00:07, 16.96it/s]
 24%|##4       | 38/157 [00:02<00:07, 17.00it/s]
 25%|##5       | 40/157 [00:02<00:06, 16.85it/s]
 27%|##6       | 42/157 [00:02<00:06, 16.77it/s]
 28%|##8       | 44/157 [00:02<00:06, 16.40it/s]
 29%|##9       | 46/157 [00:02<00:06, 16.54it/s]
 31%|###       | 48/157 [00:02<00:06, 16.47it/s]
 32%|###1      | 50/157 [00:03<00:06, 16.59it/s]
 33%|###3      | 52/157 [00:03<00:06, 16.72it/s]
 34%|###4      | 54/157 [00:03<00:06, 16.64it/s]
 36%|###5      | 56/157 [00:03<00:06, 16.71it/s]
 37%|###6      | 58/157 [00:03<00:05, 16.77it/s]
 38%|###8      | 60/157 [00:03<00:05, 16.84it/s]
 39%|###9      | 62/157 [00:03<00:05, 16.91it/s]
 41%|####      | 64/157 [00:03<00:05, 16.97it/s]
 42%|####2     | 66/157 [00:03<00:05, 16.94it/s]
 43%|####3     | 68/157 [00:04<00:05, 16.78it/s]
 45%|####4     | 70/157 [00:04<00:05, 16.63it/s]
 46%|####5     | 72/157 [00:04<00:05, 16.54it/s]
 47%|####7     | 74/157 [00:04<00:05, 16.51it/s]
 48%|####8     | 76/157 [00:04<00:04, 16.57it/s]
 50%|####9     | 78/157 [00:04<00:04, 16.53it/s]
 51%|#####     | 80/157 [00:04<00:04, 16.50it/s]
 52%|#####2    | 82/157 [00:04<00:04, 16.65it/s]
 54%|#####3    | 84/157 [00:05<00:04, 16.66it/s]
 55%|#####4    | 86/157 [00:05<00:04, 16.63it/s]
 56%|#####6    | 88/157 [00:05<00:04, 16.64it/s]
 57%|#####7    | 90/157 [00:05<00:04, 16.61it/s]
 59%|#####8    | 92/157 [00:05<00:03, 16.39it/s]
 60%|#####9    | 94/157 [00:05<00:03, 16.60it/s]
 61%|######1   | 96/157 [00:05<00:03, 17.04it/s]
 62%|######2   | 98/157 [00:05<00:03, 17.13it/s]
 64%|######3   | 100/157 [00:06<00:03, 17.15it/s]
 65%|######4   | 102/157 [00:06<00:03, 16.87it/s]
 66%|######6   | 104/157 [00:06<00:03, 16.63it/s]
 68%|######7   | 106/157 [00:06<00:03, 16.37it/s]
 69%|######8   | 108/157 [00:06<00:03, 16.27it/s]
 70%|#######   | 110/157 [00:06<00:02, 16.60it/s]
 71%|#######1  | 112/157 [00:06<00:02, 16.45it/s]
 73%|#######2  | 114/157 [00:06<00:02, 16.36it/s]
 74%|#######3  | 116/157 [00:06<00:02, 16.52it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.96it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.70it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.75it/s]
 79%|#######8  | 124/157 [00:07<00:01, 17.01it/s]
 80%|########  | 126/157 [00:07<00:01, 16.83it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.99it/s]
 83%|########2 | 130/157 [00:07<00:01, 16.96it/s]
 84%|########4 | 132/157 [00:07<00:01, 16.86it/s]
 85%|########5 | 134/157 [00:08<00:01, 17.00it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.80it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.67it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.60it/s]
 90%|######### | 142/157 [00:08<00:00, 16.67it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.64it/s]
 93%|#########2| 146/157 [00:08<00:00, 16.77it/s]
 94%|#########4| 148/157 [00:08<00:00, 16.51it/s]
 96%|#########5| 150/157 [00:09<00:00, 16.39it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.28it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.20it/s]
 99%|#########9| 156/157 [00:09<00:00, 16.12it/s]
100%|##########| 157/157 [00:09<00:00, 16.67it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:44, 17.35it/s]
  1%|          | 4/781 [00:00<00:42, 18.10it/s]
  1%|          | 6/781 [00:00<00:41, 18.48it/s]
  1%|1         | 8/781 [00:00<00:41, 18.43it/s]
  1%|1         | 10/781 [00:00<00:41, 18.50it/s]
  2%|1         | 12/781 [00:00<00:41, 18.36it/s]
  2%|1         | 14/781 [00:00<00:42, 18.08it/s]
  2%|2         | 16/781 [00:00<00:41, 18.52it/s]
  2%|2         | 18/781 [00:00<00:41, 18.38it/s]
  3%|2         | 20/781 [00:01<00:41, 18.16it/s]
  3%|2         | 22/781 [00:01<00:42, 17.98it/s]
  3%|3         | 24/781 [00:01<00:42, 17.86it/s]
  3%|3         | 26/781 [00:01<00:41, 18.03it/s]
  4%|3         | 28/781 [00:01<00:41, 18.36it/s]
  4%|3         | 30/781 [00:01<00:40, 18.49it/s]
  4%|4         | 32/781 [00:01<00:40, 18.50it/s]
  4%|4         | 34/781 [00:01<00:40, 18.34it/s]
  5%|4         | 36/781 [00:01<00:40, 18.59it/s]
  5%|4         | 38/781 [00:02<00:39, 18.81it/s]
  5%|5         | 40/781 [00:02<00:40, 18.41it/s]
  5%|5         | 42/781 [00:02<00:39, 18.51it/s]
  6%|5         | 44/781 [00:02<00:40, 18.42it/s]
  6%|5         | 46/781 [00:02<00:40, 18.28it/s]
  6%|6         | 48/781 [00:02<00:40, 18.20it/s]
  6%|6         | 50/781 [00:02<00:40, 18.12it/s]
  7%|6         | 53/781 [00:02<00:38, 18.69it/s]
  7%|7         | 56/781 [00:03<00:37, 19.22it/s]
  7%|7         | 58/781 [00:03<00:38, 18.97it/s]
  8%|7         | 60/781 [00:03<00:37, 18.98it/s]
  8%|7         | 62/781 [00:03<00:38, 18.66it/s]
  8%|8         | 64/781 [00:03<00:38, 18.47it/s]
  8%|8         | 66/781 [00:03<00:38, 18.54it/s]
  9%|8         | 68/781 [00:03<00:38, 18.47it/s]
  9%|8         | 70/781 [00:03<00:38, 18.32it/s]
  9%|9         | 72/781 [00:03<00:39, 18.16it/s]
 10%|9         | 75/781 [00:04<00:37, 18.72it/s]
 10%|9         | 77/781 [00:04<00:37, 18.71it/s]
 10%|#         | 79/781 [00:04<00:36, 18.98it/s]
 10%|#         | 82/781 [00:04<00:35, 19.44it/s]
 11%|#         | 84/781 [00:04<00:36, 19.15it/s]
 11%|#1        | 86/781 [00:04<00:36, 18.80it/s]
 11%|#1        | 88/781 [00:04<00:36, 18.77it/s]
 12%|#1        | 90/781 [00:04<00:36, 19.03it/s]
 12%|#1        | 92/781 [00:04<00:36, 18.71it/s]
 12%|#2        | 94/781 [00:05<00:36, 18.75it/s]
 12%|#2        | 96/781 [00:05<00:36, 18.86it/s]
 13%|#2        | 98/781 [00:05<00:36, 18.69it/s]
 13%|#2        | 100/781 [00:05<00:36, 18.47it/s]
 13%|#3        | 102/781 [00:05<00:36, 18.59it/s]
 13%|#3        | 105/781 [00:05<00:35, 19.26it/s]
 14%|#3        | 107/781 [00:05<00:35, 19.03it/s]
 14%|#3        | 109/781 [00:05<00:35, 18.77it/s]
 14%|#4        | 111/781 [00:05<00:36, 18.55it/s]
 14%|#4        | 113/781 [00:06<00:36, 18.50it/s]
 15%|#4        | 115/781 [00:06<00:35, 18.69it/s]
 15%|#4        | 117/781 [00:06<00:36, 18.35it/s]
 15%|#5        | 119/781 [00:06<00:35, 18.70it/s]
 16%|#5        | 122/781 [00:06<00:34, 19.24it/s]
 16%|#6        | 125/781 [00:06<00:33, 19.63it/s]
 16%|#6        | 127/781 [00:06<00:33, 19.29it/s]
 17%|#6        | 129/781 [00:06<00:33, 19.25it/s]
 17%|#6        | 131/781 [00:07<00:34, 18.85it/s]
 17%|#7        | 133/781 [00:07<00:34, 18.60it/s]
 17%|#7        | 135/781 [00:07<00:35, 18.39it/s]
 18%|#7        | 137/781 [00:07<00:34, 18.51it/s]
 18%|#7        | 139/781 [00:07<00:34, 18.73it/s]
 18%|#8        | 141/781 [00:07<00:34, 18.46it/s]
 18%|#8        | 143/781 [00:07<00:33, 18.83it/s]
 19%|#8        | 146/781 [00:07<00:32, 19.38it/s]
 19%|#8        | 148/781 [00:07<00:32, 19.35it/s]
 19%|#9        | 151/781 [00:08<00:31, 19.83it/s]
 20%|#9        | 153/781 [00:08<00:31, 19.67it/s]
 20%|#9        | 155/781 [00:08<00:31, 19.63it/s]
 20%|##        | 157/781 [00:08<00:31, 19.52it/s]
 20%|##        | 159/781 [00:08<00:32, 18.97it/s]
 21%|##        | 161/781 [00:08<00:32, 18.93it/s]
 21%|##        | 164/781 [00:08<00:31, 19.63it/s]
 21%|##1       | 166/781 [00:08<00:31, 19.54it/s]
 22%|##1       | 168/781 [00:08<00:31, 19.25it/s]
 22%|##1       | 170/781 [00:09<00:32, 18.88it/s]
 22%|##2       | 173/781 [00:09<00:31, 19.45it/s]
 23%|##2       | 176/781 [00:09<00:30, 19.88it/s]
 23%|##2       | 178/781 [00:09<00:30, 19.76it/s]
 23%|##3       | 180/781 [00:09<00:30, 19.64it/s]
 23%|##3       | 182/781 [00:09<00:30, 19.53it/s]
 24%|##3       | 185/781 [00:09<00:29, 19.94it/s]
 24%|##3       | 187/781 [00:09<00:30, 19.53it/s]
 24%|##4       | 190/781 [00:10<00:30, 19.61it/s]
 25%|##4       | 193/781 [00:10<00:29, 19.69it/s]
 25%|##4       | 195/781 [00:10<00:29, 19.62it/s]
 25%|##5       | 197/781 [00:10<00:30, 19.40it/s]
 25%|##5       | 199/781 [00:10<00:29, 19.51it/s]
 26%|##5       | 201/781 [00:10<00:30, 19.33it/s]
 26%|##6       | 204/781 [00:10<00:29, 19.64it/s]
 26%|##6       | 206/781 [00:10<00:29, 19.23it/s]
 27%|##6       | 208/781 [00:11<00:29, 19.10it/s]
 27%|##6       | 210/781 [00:11<00:29, 19.28it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.29it/s]
 28%|##7       | 215/781 [00:11<00:29, 19.42it/s]
 28%|##7       | 217/781 [00:11<00:29, 19.27it/s]
 28%|##8       | 219/781 [00:11<00:29, 18.94it/s]
 28%|##8       | 221/781 [00:11<00:29, 19.23it/s]
 29%|##8       | 223/781 [00:11<00:29, 19.10it/s]
 29%|##8       | 225/781 [00:11<00:28, 19.27it/s]
 29%|##9       | 228/781 [00:12<00:28, 19.65it/s]
 30%|##9       | 231/781 [00:12<00:27, 19.71it/s]
 30%|##9       | 233/781 [00:12<00:28, 19.23it/s]
 30%|###       | 236/781 [00:12<00:27, 19.60it/s]
 30%|###       | 238/781 [00:12<00:28, 19.25it/s]
 31%|###       | 240/781 [00:12<00:28, 19.27it/s]
 31%|###       | 242/781 [00:12<00:28, 19.12it/s]
 31%|###1      | 245/781 [00:12<00:27, 19.26it/s]
 32%|###1      | 247/781 [00:13<00:27, 19.33it/s]
 32%|###1      | 249/781 [00:13<00:27, 19.28it/s]
 32%|###2      | 251/781 [00:13<00:27, 19.46it/s]
 32%|###2      | 253/781 [00:13<00:27, 19.48it/s]
 33%|###2      | 255/781 [00:13<00:27, 19.05it/s]
 33%|###2      | 257/781 [00:13<00:27, 18.75it/s]
 33%|###3      | 259/781 [00:13<00:27, 18.77it/s]
 34%|###3      | 262/781 [00:13<00:27, 19.19it/s]
 34%|###3      | 264/781 [00:13<00:27, 19.04it/s]
 34%|###4      | 267/781 [00:14<00:26, 19.59it/s]
 34%|###4      | 269/781 [00:14<00:26, 19.49it/s]
 35%|###4      | 272/781 [00:14<00:25, 19.71it/s]
 35%|###5      | 274/781 [00:14<00:26, 19.26it/s]
 35%|###5      | 276/781 [00:14<00:26, 19.14it/s]
 36%|###5      | 279/781 [00:14<00:25, 19.71it/s]
 36%|###5      | 281/781 [00:14<00:25, 19.39it/s]
 36%|###6      | 283/781 [00:14<00:25, 19.37it/s]
 36%|###6      | 285/781 [00:14<00:25, 19.19it/s]
 37%|###6      | 288/781 [00:15<00:24, 19.74it/s]
 37%|###7      | 290/781 [00:15<00:24, 19.71it/s]
 37%|###7      | 292/781 [00:15<00:25, 19.47it/s]
 38%|###7      | 295/781 [00:15<00:24, 19.88it/s]
 38%|###8      | 297/781 [00:15<00:24, 19.51it/s]
 38%|###8      | 299/781 [00:15<00:24, 19.36it/s]
 39%|###8      | 301/781 [00:15<00:24, 19.35it/s]
 39%|###8      | 303/781 [00:15<00:24, 19.26it/s]
 39%|###9      | 305/781 [00:16<00:24, 19.12it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.56it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.09it/s]
 40%|###9      | 312/781 [00:16<00:25, 18.67it/s]
 40%|####      | 314/781 [00:16<00:24, 18.70it/s]
 41%|####      | 317/781 [00:16<00:24, 19.00it/s]
 41%|####      | 319/781 [00:16<00:24, 18.61it/s]
 41%|####1     | 321/781 [00:16<00:25, 18.37it/s]
 41%|####1     | 323/781 [00:16<00:24, 18.48it/s]
 42%|####1     | 325/781 [00:17<00:24, 18.32it/s]
 42%|####1     | 327/781 [00:17<00:25, 18.08it/s]
 42%|####2     | 329/781 [00:17<00:24, 18.26it/s]
 42%|####2     | 331/781 [00:17<00:24, 18.67it/s]
 43%|####2     | 333/781 [00:17<00:24, 18.47it/s]
 43%|####2     | 335/781 [00:17<00:24, 18.14it/s]
 43%|####3     | 337/781 [00:17<00:24, 18.00it/s]
 43%|####3     | 339/781 [00:17<00:24, 17.98it/s]
 44%|####3     | 341/781 [00:17<00:24, 18.17it/s]
 44%|####3     | 343/781 [00:18<00:23, 18.50it/s]
 44%|####4     | 345/781 [00:18<00:23, 18.74it/s]
 44%|####4     | 347/781 [00:18<00:23, 18.85it/s]
 45%|####4     | 349/781 [00:18<00:22, 18.96it/s]
 45%|####4     | 351/781 [00:18<00:22, 19.05it/s]
 45%|####5     | 353/781 [00:18<00:22, 19.23it/s]
 45%|####5     | 355/781 [00:18<00:22, 19.00it/s]
 46%|####5     | 358/781 [00:18<00:21, 19.39it/s]
 46%|####6     | 360/781 [00:18<00:22, 18.97it/s]
 46%|####6     | 362/781 [00:19<00:22, 18.69it/s]
 47%|####6     | 364/781 [00:19<00:22, 18.51it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.61it/s]
 47%|####7     | 368/781 [00:19<00:22, 18.54it/s]
 47%|####7     | 370/781 [00:19<00:22, 18.38it/s]
 48%|####7     | 372/781 [00:19<00:25, 16.16it/s]
 48%|####7     | 374/781 [00:19<00:24, 16.47it/s]
 48%|####8     | 376/781 [00:19<00:23, 17.03it/s]
 48%|####8     | 378/781 [00:20<00:22, 17.62it/s]
 49%|####8     | 380/781 [00:20<00:22, 17.84it/s]
 49%|####8     | 382/781 [00:20<00:22, 18.12it/s]
 49%|####9     | 384/781 [00:20<00:21, 18.11it/s]
 49%|####9     | 386/781 [00:20<00:21, 18.31it/s]
 50%|####9     | 388/781 [00:20<00:21, 18.08it/s]
 50%|####9     | 390/781 [00:20<00:21, 18.14it/s]
 50%|#####     | 392/781 [00:20<00:21, 18.08it/s]
 50%|#####     | 394/781 [00:20<00:21, 18.27it/s]
 51%|#####     | 396/781 [00:20<00:21, 18.05it/s]
 51%|#####     | 398/781 [00:21<00:21, 17.92it/s]
 51%|#####1    | 400/781 [00:21<00:21, 17.76it/s]
 51%|#####1    | 402/781 [00:21<00:21, 17.57it/s]
 52%|#####1    | 404/781 [00:21<00:21, 17.56it/s]
 52%|#####1    | 406/781 [00:21<00:21, 17.62it/s]
 52%|#####2    | 408/781 [00:21<00:21, 17.74it/s]
 52%|#####2    | 410/781 [00:21<00:20, 17.67it/s]
 53%|#####2    | 412/781 [00:21<00:20, 17.61it/s]
 53%|#####3    | 414/781 [00:22<00:20, 18.01it/s]
 53%|#####3    | 416/781 [00:22<00:20, 17.75it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.25it/s]
 54%|#####3    | 420/781 [00:22<00:19, 18.20it/s]
 54%|#####4    | 422/781 [00:22<00:19, 18.11it/s]
 54%|#####4    | 425/781 [00:22<00:19, 18.69it/s]
 55%|#####4    | 427/781 [00:22<00:19, 18.46it/s]
 55%|#####4    | 429/781 [00:22<00:19, 18.20it/s]
 55%|#####5    | 431/781 [00:22<00:19, 18.22it/s]
 55%|#####5    | 433/781 [00:23<00:19, 18.12it/s]
 56%|#####5    | 435/781 [00:23<00:19, 18.19it/s]
 56%|#####5    | 437/781 [00:23<00:19, 18.07it/s]
 56%|#####6    | 439/781 [00:23<00:19, 17.87it/s]
 56%|#####6    | 441/781 [00:23<00:19, 17.77it/s]
 57%|#####6    | 443/781 [00:23<00:19, 17.68it/s]
 57%|#####6    | 445/781 [00:23<00:19, 17.62it/s]
 57%|#####7    | 447/781 [00:23<00:18, 17.83it/s]
 57%|#####7    | 449/781 [00:23<00:18, 18.19it/s]
 58%|#####7    | 451/781 [00:24<00:18, 18.09it/s]
 58%|#####8    | 453/781 [00:24<00:18, 18.03it/s]
 58%|#####8    | 455/781 [00:24<00:17, 18.38it/s]
 59%|#####8    | 457/781 [00:24<00:17, 18.26it/s]
 59%|#####8    | 459/781 [00:24<00:17, 18.13it/s]
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/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/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/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/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):

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Validation Progress:  61%|######1   | 27/44 [00:34<00:22,  1.35s/it]
Validation Progress:  61%|######1   | 27/44 [00:34<00:22,  1.35s/it]
Validation Progress:  64%|######3   | 28/44 [00:36<00:21,  1.34s/it]
Validation Progress:  64%|######3   | 28/44 [00:36<00:21,  1.33s/it]
Validation Progress:  64%|######3   | 28/44 [00:36<00:21,  1.34s/it]
Validation Progress:  64%|######3   | 28/44 [00:36<00:21,  1.34s/it]
Validation Progress:  66%|######5   | 29/44 [00:37<00:19,  1.31s/it]
Validation Progress:  66%|######5   | 29/44 [00:37<00:19,  1.31s/it]
Validation Progress:  66%|######5   | 29/44 [00:37<00:19,  1.31s/it]
Validation Progress:  66%|######5   | 29/44 [00:37<00:19,  1.31s/it]
Validation Progress:  68%|######8   | 30/44 [00:38<00:18,  1.33s/it]
Validation Progress:  68%|######8   | 30/44 [00:38<00:18,  1.34s/it]
Validation Progress:  68%|######8   | 30/44 [00:38<00:18,  1.33s/it]
Validation Progress:  68%|######8   | 30/44 [00:38<00:18,  1.34s/it]
Validation Progress:  70%|#######   | 31/44 [00:40<00:17,  1.32s/it]
Validation Progress:  70%|#######   | 31/44 [00:40<00:17,  1.32s/it]
Validation Progress:  70%|#######   | 31/44 [00:40<00:17,  1.32s/it]
Validation Progress:  70%|#######   | 31/44 [00:40<00:17,  1.32s/it]
Validation Progress:  73%|#######2  | 32/44 [00:41<00:15,  1.30s/it]
Validation Progress:  73%|#######2  | 32/44 [00:41<00:15,  1.30s/it]
Validation Progress:  73%|#######2  | 32/44 [00:41<00:15,  1.30s/it]
Validation Progress:  73%|#######2  | 32/44 [00:41<00:15,  1.30s/it]
Validation Progress:  75%|#######5  | 33/44 [00:42<00:14,  1.29s/it]
Validation Progress:  75%|#######5  | 33/44 [00:42<00:14,  1.29s/it]
Validation Progress:  75%|#######5  | 33/44 [00:42<00:14,  1.29s/it]
Validation Progress:  75%|#######5  | 33/44 [00:42<00:14,  1.29s/it]
Validation Progress:  77%|#######7  | 34/44 [00:44<00:13,  1.37s/it]
Validation Progress:  77%|#######7  | 34/44 [00:44<00:13,  1.37s/it]
Validation Progress:  77%|#######7  | 34/44 [00:44<00:13,  1.37s/it]
Validation Progress:  77%|#######7  | 34/44 [00:44<00:13,  1.37s/it]
Validation Progress:  80%|#######9  | 35/44 [00:45<00:12,  1.36s/it]
Validation Progress:  80%|#######9  | 35/44 [00:45<00:12,  1.36s/it]
Validation Progress:  80%|#######9  | 35/44 [00:45<00:12,  1.36s/it]
Validation Progress:  80%|#######9  | 35/44 [00:45<00:12,  1.36s/it]
Validation Progress:  82%|########1 | 36/44 [00:46<00:10,  1.37s/it]
Validation Progress:  82%|########1 | 36/44 [00:46<00:10,  1.37s/it]
Validation Progress:  82%|########1 | 36/44 [00:46<00:10,  1.37s/it]
Validation Progress:  82%|########1 | 36/44 [00:46<00:10,  1.37s/it]
Validation Progress:  84%|########4 | 37/44 [00:48<00:09,  1.40s/it]
Validation Progress:  84%|########4 | 37/44 [00:48<00:09,  1.40s/it]
Validation Progress:  84%|########4 | 37/44 [00:48<00:09,  1.40s/it]
Validation Progress:  84%|########4 | 37/44 [00:48<00:09,  1.40s/it]
Validation Progress:  86%|########6 | 38/44 [00:49<00:08,  1.41s/it]
Validation Progress:  86%|########6 | 38/44 [00:49<00:08,  1.41s/it]
Validation Progress:  86%|########6 | 38/44 [00:49<00:08,  1.41s/it]
Validation Progress:  86%|########6 | 38/44 [00:49<00:08,  1.41s/it]
Validation Progress:  89%|########8 | 39/44 [00:51<00:06,  1.37s/it]
Validation Progress:  89%|########8 | 39/44 [00:51<00:06,  1.37s/it]
Validation Progress:  89%|########8 | 39/44 [00:51<00:06,  1.37s/it]
Validation Progress:  89%|########8 | 39/44 [00:51<00:06,  1.37s/it]
Validation Progress:  91%|######### | 40/44 [00:52<00:05,  1.36s/it]
Validation Progress:  91%|######### | 40/44 [00:52<00:05,  1.36s/it]
Validation Progress:  91%|######### | 40/44 [00:52<00:05,  1.36s/it]
Validation Progress:  91%|######### | 40/44 [00:52<00:05,  1.36s/it]
Validation Progress:  93%|#########3| 41/44 [00:53<00:04,  1.39s/it]
Validation Progress:  93%|#########3| 41/44 [00:53<00:04,  1.39s/it]
Validation Progress:  93%|#########3| 41/44 [00:53<00:04,  1.39s/it]
Validation Progress:  93%|#########3| 41/44 [00:53<00:04,  1.39s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.38s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.38s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.39s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.38s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.39s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.39s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.39s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.39s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.16s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.16s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.16s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.17s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:03<00:00,  3.00s/it]
100%|##########| 1/1 [00:03<00:00,  3.00s/it]

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  9%|8         | 14/157 [00:00<00:08, 16.84it/s]
 10%|#         | 16/157 [00:00<00:08, 16.62it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.91it/s]
 13%|#2        | 20/157 [00:01<00:08, 16.85it/s]
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 18%|#7        | 28/157 [00:01<00:07, 17.18it/s]
 19%|#9        | 30/157 [00:01<00:07, 17.21it/s]
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 39%|###9      | 62/157 [00:03<00:05, 17.35it/s]
 41%|####      | 64/157 [00:03<00:05, 17.46it/s]
 42%|####2     | 66/157 [00:03<00:05, 17.46it/s]
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 51%|#####     | 80/157 [00:04<00:04, 17.23it/s]
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100%|##########| 157/157 [00:09<00:00, 17.18it/s]

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  6%|6         | 48/781 [00:02<00:38, 19.11it/s]
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  7%|6         | 54/781 [00:02<00:37, 19.25it/s]
  7%|7         | 56/781 [00:02<00:37, 19.30it/s]
  7%|7         | 58/781 [00:03<00:37, 19.27it/s]
  8%|7         | 60/781 [00:03<00:37, 19.26it/s]
  8%|7         | 62/781 [00:03<00:37, 19.26it/s]
  8%|8         | 64/781 [00:03<00:37, 19.32it/s]
  8%|8         | 66/781 [00:03<00:37, 19.32it/s]
  9%|8         | 68/781 [00:03<00:36, 19.32it/s]
  9%|8         | 70/781 [00:03<00:36, 19.33it/s]
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 10%|#         | 82/781 [00:04<00:36, 18.94it/s]
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 11%|#1        | 86/781 [00:04<00:36, 18.89it/s]
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 14%|#3        | 106/781 [00:05<00:35, 19.09it/s]
 14%|#3        | 108/781 [00:05<00:35, 19.01it/s]
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 17%|#6        | 132/781 [00:06<00:33, 19.19it/s]
 17%|#7        | 134/781 [00:06<00:33, 19.20it/s]
 17%|#7        | 136/781 [00:07<00:33, 19.13it/s]
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 19%|#8        | 148/781 [00:07<00:32, 19.25it/s]
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 20%|##        | 158/781 [00:08<00:32, 19.27it/s]
 20%|##        | 160/781 [00:08<00:32, 19.29it/s]
 21%|##        | 162/781 [00:08<00:32, 19.31it/s]
 21%|##        | 164/781 [00:08<00:32, 19.06it/s]
 21%|##1       | 166/781 [00:08<00:32, 19.09it/s]
 22%|##1       | 168/781 [00:08<00:32, 18.84it/s]
 22%|##1       | 170/781 [00:08<00:32, 18.94it/s]
 22%|##2       | 172/781 [00:08<00:32, 18.92it/s]
 22%|##2       | 174/781 [00:09<00:32, 18.88it/s]
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 23%|##2       | 178/781 [00:09<00:31, 18.95it/s]
 23%|##3       | 180/781 [00:09<00:31, 19.09it/s]
 23%|##3       | 182/781 [00:09<00:31, 19.13it/s]
 24%|##3       | 184/781 [00:09<00:31, 19.17it/s]
 24%|##3       | 186/781 [00:09<00:30, 19.22it/s]
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 24%|##4       | 190/781 [00:09<00:30, 19.26it/s]
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 31%|###       | 240/781 [00:12<00:28, 19.13it/s]
 31%|###       | 242/781 [00:12<00:28, 19.21it/s]
 31%|###1      | 244/781 [00:12<00:28, 19.09it/s]
 31%|###1      | 246/781 [00:12<00:28, 18.99it/s]
 32%|###1      | 248/781 [00:12<00:28, 18.83it/s]
 32%|###2      | 250/781 [00:13<00:28, 18.94it/s]
 32%|###2      | 252/781 [00:13<00:28, 18.73it/s]
 33%|###2      | 254/781 [00:13<00:27, 18.84it/s]
 33%|###2      | 256/781 [00:13<00:27, 18.87it/s]
 33%|###3      | 258/781 [00:13<00:28, 18.64it/s]
 33%|###3      | 260/781 [00:13<00:27, 18.83it/s]
 34%|###3      | 262/781 [00:13<00:27, 18.66it/s]
 34%|###3      | 264/781 [00:13<00:27, 18.88it/s]
 34%|###4      | 266/781 [00:13<00:27, 18.81it/s]
 34%|###4      | 268/781 [00:14<00:27, 18.93it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.19it/s]
 35%|###4      | 272/781 [00:14<00:26, 19.05it/s]
 35%|###5      | 274/781 [00:14<00:26, 19.09it/s]
 35%|###5      | 276/781 [00:14<00:26, 19.29it/s]
 36%|###5      | 278/781 [00:14<00:26, 19.32it/s]
 36%|###5      | 280/781 [00:14<00:26, 19.16it/s]
 36%|###6      | 282/781 [00:14<00:26, 19.15it/s]
 36%|###6      | 284/781 [00:14<00:25, 19.34it/s]
 37%|###6      | 286/781 [00:14<00:25, 19.36it/s]
 37%|###6      | 288/781 [00:15<00:25, 19.33it/s]
 37%|###7      | 290/781 [00:15<00:25, 19.18it/s]
 37%|###7      | 292/781 [00:15<00:25, 19.21it/s]
 38%|###7      | 294/781 [00:15<00:25, 19.38it/s]
 38%|###7      | 296/781 [00:15<00:25, 19.37it/s]
 38%|###8      | 298/781 [00:15<00:25, 19.15it/s]
 38%|###8      | 300/781 [00:15<00:25, 19.19it/s]
 39%|###8      | 302/781 [00:15<00:24, 19.40it/s]
 39%|###8      | 304/781 [00:15<00:24, 19.41it/s]
 39%|###9      | 306/781 [00:15<00:24, 19.33it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.34it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.35it/s]
 40%|###9      | 312/781 [00:16<00:24, 18.85it/s]
 40%|####      | 314/781 [00:16<00:24, 18.85it/s]
 40%|####      | 316/781 [00:16<00:24, 19.06it/s]
 41%|####      | 318/781 [00:16<00:24, 19.11it/s]
 41%|####      | 320/781 [00:16<00:24, 18.94it/s]
 41%|####1     | 322/781 [00:16<00:23, 19.16it/s]
 41%|####1     | 324/781 [00:16<00:23, 19.08it/s]
 42%|####1     | 326/781 [00:17<00:23, 18.97it/s]
 42%|####1     | 328/781 [00:17<00:23, 19.19it/s]
 42%|####2     | 330/781 [00:17<00:23, 19.08it/s]
 43%|####2     | 332/781 [00:17<00:23, 19.00it/s]
 43%|####2     | 334/781 [00:17<00:23, 19.06it/s]
 43%|####3     | 336/781 [00:17<00:23, 19.11it/s]
 43%|####3     | 338/781 [00:17<00:23, 19.17it/s]
 44%|####3     | 340/781 [00:17<00:22, 19.22it/s]
 44%|####3     | 342/781 [00:17<00:22, 19.26it/s]
 44%|####4     | 344/781 [00:17<00:22, 19.29it/s]
 44%|####4     | 346/781 [00:18<00:22, 19.18it/s]
 45%|####4     | 348/781 [00:18<00:22, 19.35it/s]
 45%|####4     | 350/781 [00:18<00:22, 19.16it/s]
 45%|####5     | 352/781 [00:18<00:22, 19.22it/s]
 45%|####5     | 354/781 [00:18<00:22, 19.23it/s]
 46%|####5     | 356/781 [00:18<00:22, 18.92it/s]
 46%|####5     | 358/781 [00:18<00:22, 18.93it/s]
 46%|####6     | 360/781 [00:18<00:22, 19.03it/s]
 46%|####6     | 362/781 [00:18<00:22, 18.80it/s]
 47%|####6     | 364/781 [00:19<00:22, 18.80it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.86it/s]
 47%|####7     | 368/781 [00:19<00:21, 18.85it/s]
 47%|####7     | 370/781 [00:19<00:21, 18.86it/s]
 48%|####7     | 372/781 [00:19<00:21, 18.93it/s]
 48%|####7     | 374/781 [00:19<00:21, 19.13it/s]
 48%|####8     | 376/781 [00:19<00:21, 18.85it/s]
 48%|####8     | 378/781 [00:19<00:21, 18.93it/s]
 49%|####8     | 380/781 [00:19<00:21, 19.04it/s]
 49%|####8     | 382/781 [00:19<00:20, 19.08it/s]
 49%|####9     | 384/781 [00:20<00:20, 19.17it/s]
 49%|####9     | 386/781 [00:20<00:20, 19.19it/s]
 50%|####9     | 388/781 [00:20<00:20, 19.15it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.06it/s]
 50%|#####     | 392/781 [00:20<00:20, 19.01it/s]
 50%|#####     | 394/781 [00:20<00:20, 19.08it/s]
 51%|#####     | 396/781 [00:20<00:19, 19.33it/s]
 51%|#####     | 398/781 [00:20<00:19, 19.30it/s]
 51%|#####1    | 400/781 [00:20<00:19, 19.13it/s]
 51%|#####1    | 402/781 [00:21<00:19, 19.17it/s]
 52%|#####1    | 404/781 [00:21<00:19, 19.14it/s]
 52%|#####1    | 406/781 [00:21<00:19, 18.96it/s]
 52%|#####2    | 408/781 [00:21<00:19, 19.08it/s]
 52%|#####2    | 410/781 [00:21<00:19, 19.01it/s]
 53%|#####2    | 412/781 [00:21<00:19, 18.90it/s]
 53%|#####3    | 414/781 [00:21<00:19, 19.08it/s]
 53%|#####3    | 416/781 [00:21<00:19, 18.83it/s]
 54%|#####3    | 418/781 [00:21<00:19, 18.78it/s]
 54%|#####3    | 420/781 [00:21<00:19, 18.77it/s]
 54%|#####4    | 422/781 [00:22<00:18, 18.98it/s]
 54%|#####4    | 424/781 [00:22<00:18, 18.91it/s]
 55%|#####4    | 426/781 [00:22<00:18, 18.87it/s]
 55%|#####4    | 428/781 [00:22<00:18, 18.86it/s]
 55%|#####5    | 430/781 [00:22<00:18, 18.99it/s]
 55%|#####5    | 432/781 [00:22<00:18, 19.10it/s]
 56%|#####5    | 434/781 [00:22<00:18, 19.07it/s]
 56%|#####5    | 436/781 [00:22<00:17, 19.17it/s]
 56%|#####6    | 438/781 [00:22<00:17, 19.22it/s]
 56%|#####6    | 440/781 [00:23<00:17, 19.21it/s]
 57%|#####6    | 442/781 [00:23<00:17, 19.22it/s]
 57%|#####6    | 444/781 [00:23<00:17, 19.29it/s]
 57%|#####7    | 446/781 [00:23<00:17, 19.07it/s]
 57%|#####7    | 448/781 [00:23<00:17, 19.09it/s]
 58%|#####7    | 450/781 [00:23<00:17, 19.08it/s]
 58%|#####7    | 452/781 [00:23<00:17, 19.10it/s]
 58%|#####8    | 454/781 [00:23<00:16, 19.26it/s]
 58%|#####8    | 456/781 [00:23<00:17, 19.07it/s]
 59%|#####8    | 458/781 [00:23<00:16, 19.11it/s]
 59%|#####8    | 460/781 [00:24<00:16, 19.13it/s]
 59%|#####9    | 462/781 [00:24<00:16, 19.13it/s]
 59%|#####9    | 464/781 [00:24<00:16, 19.19it/s]
 60%|#####9    | 466/781 [00:24<00:16, 19.17it/s]
 60%|#####9    | 468/781 [00:24<00:16, 19.17it/s]
 60%|######    | 470/781 [00:24<00:16, 19.20it/s]
 60%|######    | 472/781 [00:24<00:16, 19.20it/s]
 61%|######    | 474/781 [00:24<00:15, 19.39it/s]
 61%|######    | 476/781 [00:24<00:15, 19.19it/s]
 61%|######1   | 478/781 [00:25<00:15, 19.20it/s]
 61%|######1   | 480/781 [00:25<00:15, 19.17it/s]
 62%|######1   | 482/781 [00:25<00:15, 19.16it/s]
 62%|######1   | 484/781 [00:25<00:15, 19.17it/s]
 62%|######2   | 486/781 [00:25<00:15, 19.21it/s]
 62%|######2   | 488/781 [00:25<00:15, 19.21it/s]
 63%|######2   | 490/781 [00:25<00:15, 19.25it/s]
 63%|######2   | 492/781 [00:25<00:14, 19.27it/s]
 63%|######3   | 494/781 [00:25<00:14, 19.29it/s]
 64%|######3   | 496/781 [00:25<00:14, 19.27it/s]
 64%|######3   | 498/781 [00:26<00:14, 19.35it/s]
 64%|######4   | 500/781 [00:26<00:14, 19.33it/s]
 64%|######4   | 502/781 [00:26<00:14, 19.29it/s]
 65%|######4   | 504/781 [00:26<00:14, 19.00it/s]
 65%|######4   | 506/781 [00:26<00:14, 18.75it/s]
 65%|######5   | 508/781 [00:26<00:14, 18.75it/s]
 65%|######5   | 510/781 [00:26<00:14, 18.76it/s]
 66%|######5   | 512/781 [00:26<00:14, 18.81it/s]
 66%|######5   | 514/781 [00:26<00:14, 18.86it/s]
 66%|######6   | 516/781 [00:26<00:14, 18.86it/s]
 66%|######6   | 518/781 [00:27<00:13, 18.80it/s]
 67%|######6   | 520/781 [00:27<00:13, 18.78it/s]
 67%|######6   | 522/781 [00:27<00:13, 18.87it/s]
 67%|######7   | 524/781 [00:27<00:13, 18.93it/s]
 67%|######7   | 526/781 [00:27<00:13, 19.08it/s]
 68%|######7   | 528/781 [00:27<00:13, 19.08it/s]
 68%|######7   | 530/781 [00:27<00:13, 19.07it/s]
 68%|######8   | 532/781 [00:27<00:13, 19.11it/s]
 68%|######8   | 534/781 [00:27<00:13, 18.93it/s]
 69%|######8   | 536/781 [00:28<00:12, 18.98it/s]
 69%|######8   | 538/781 [00:28<00:12, 19.11it/s]
 69%|######9   | 540/781 [00:28<00:12, 18.97it/s]
 69%|######9   | 542/781 [00:28<00:12, 18.68it/s]
 70%|######9   | 544/781 [00:28<00:12, 18.94it/s]
 70%|######9   | 546/781 [00:28<00:12, 18.85it/s]
 70%|#######   | 548/781 [00:28<00:12, 19.09it/s]
 70%|#######   | 550/781 [00:28<00:12, 19.10it/s]
 71%|#######   | 552/781 [00:28<00:11, 19.10it/s]
 71%|#######   | 554/781 [00:28<00:11, 19.17it/s]
 71%|#######1  | 556/781 [00:29<00:11, 19.18it/s]
 71%|#######1  | 558/781 [00:29<00:11, 18.89it/s]
 72%|#######1  | 560/781 [00:29<00:11, 19.07it/s]
 72%|#######1  | 562/781 [00:29<00:11, 18.81it/s]
 72%|#######2  | 564/781 [00:29<00:11, 18.86it/s]
 72%|#######2  | 566/781 [00:29<00:11, 18.98it/s]
 73%|#######2  | 568/781 [00:29<00:11, 19.02it/s]
 73%|#######2  | 570/781 [00:29<00:11, 19.09it/s]
 73%|#######3  | 572/781 [00:29<00:10, 19.11it/s]
 73%|#######3  | 574/781 [00:30<00:10, 19.29it/s]
 74%|#######3  | 576/781 [00:30<00:10, 19.30it/s]
 74%|#######4  | 578/781 [00:30<00:10, 19.31it/s]
 74%|#######4  | 580/781 [00:30<00:10, 19.09it/s]
 75%|#######4  | 582/781 [00:30<00:10, 19.07it/s]
 75%|#######4  | 584/781 [00:30<00:10, 19.09it/s]
 75%|#######5  | 586/781 [00:30<00:10, 19.09it/s]
 75%|#######5  | 588/781 [00:30<00:10, 19.09it/s]
 76%|#######5  | 590/781 [00:30<00:10, 19.10it/s]
 76%|#######5  | 592/781 [00:30<00:09, 19.09it/s]
 76%|#######6  | 594/781 [00:31<00:09, 19.34it/s]
 76%|#######6  | 596/781 [00:31<00:09, 19.15it/s]
 77%|#######6  | 598/781 [00:31<00:09, 19.33it/s]
 77%|#######6  | 600/781 [00:31<00:09, 19.16it/s]
 77%|#######7  | 602/781 [00:31<00:09, 19.30it/s]
 77%|#######7  | 604/781 [00:31<00:09, 19.36it/s]
 78%|#######7  | 606/781 [00:31<00:09, 19.03it/s]
 78%|#######7  | 608/781 [00:31<00:09, 19.02it/s]
 78%|#######8  | 610/781 [00:31<00:08, 19.23it/s]
 78%|#######8  | 612/781 [00:32<00:08, 19.04it/s]
 79%|#######8  | 614/781 [00:32<00:08, 19.24it/s]
 79%|#######8  | 616/781 [00:32<00:08, 19.07it/s]
 79%|#######9  | 618/781 [00:32<00:08, 19.05it/s]
 79%|#######9  | 620/781 [00:32<00:08, 19.24it/s]
 80%|#######9  | 622/781 [00:32<00:08, 19.09it/s]
 80%|#######9  | 624/781 [00:32<00:08, 19.13it/s]
 80%|########  | 626/781 [00:32<00:08, 19.29it/s]
 80%|########  | 628/781 [00:32<00:08, 19.12it/s]
 81%|########  | 630/781 [00:32<00:07, 19.09it/s]
 81%|########  | 632/781 [00:33<00:07, 19.26it/s]
 81%|########1 | 634/781 [00:33<00:07, 19.22it/s]
 81%|########1 | 636/781 [00:33<00:07, 19.02it/s]
 82%|########1 | 638/781 [00:33<00:07, 18.90it/s]
 82%|########1 | 640/781 [00:33<00:07, 18.94it/s]
 82%|########2 | 642/781 [00:33<00:07, 18.71it/s]
 82%|########2 | 644/781 [00:33<00:07, 18.70it/s]
 83%|########2 | 646/781 [00:33<00:07, 18.83it/s]
 83%|########2 | 648/781 [00:33<00:07, 18.77it/s]
 83%|########3 | 650/781 [00:34<00:07, 18.56it/s]
 83%|########3 | 652/781 [00:34<00:06, 18.58it/s]
 84%|########3 | 654/781 [00:34<00:06, 18.65it/s]
 84%|########3 | 656/781 [00:34<00:06, 18.81it/s]
 84%|########4 | 658/781 [00:34<00:06, 18.62it/s]
 85%|########4 | 660/781 [00:34<00:06, 18.87it/s]
 85%|########4 | 662/781 [00:34<00:06, 18.86it/s]
 85%|########5 | 664/781 [00:34<00:06, 18.92it/s]
 85%|########5 | 666/781 [00:34<00:06, 18.98it/s]
 86%|########5 | 668/781 [00:34<00:05, 19.04it/s]
 86%|########5 | 670/781 [00:35<00:05, 19.11it/s]
 86%|########6 | 672/781 [00:35<00:05, 19.15it/s]
 86%|########6 | 674/781 [00:35<00:05, 19.33it/s]
 87%|########6 | 676/781 [00:35<00:05, 19.34it/s]
 87%|########6 | 678/781 [00:35<00:05, 19.33it/s]
 87%|########7 | 680/781 [00:35<00:05, 19.19it/s]
 87%|########7 | 682/781 [00:35<00:05, 18.86it/s]
 88%|########7 | 684/781 [00:35<00:05, 18.94it/s]
 88%|########7 | 686/781 [00:35<00:05, 18.87it/s]
 88%|########8 | 688/781 [00:36<00:04, 18.68it/s]
 88%|########8 | 690/781 [00:36<00:04, 18.67it/s]
 89%|########8 | 692/781 [00:36<00:04, 18.66it/s]
 89%|########8 | 694/781 [00:36<00:04, 18.83it/s]
 89%|########9 | 696/781 [00:36<00:04, 18.80it/s]
 89%|########9 | 698/781 [00:36<00:04, 18.76it/s]
 90%|########9 | 700/781 [00:36<00:04, 18.51it/s]
 90%|########9 | 702/781 [00:36<00:04, 18.43it/s]
 90%|######### | 704/781 [00:36<00:04, 18.48it/s]
 90%|######### | 706/781 [00:37<00:04, 18.54it/s]
 91%|######### | 708/781 [00:37<00:03, 18.60it/s]
 91%|######### | 710/781 [00:37<00:03, 18.62it/s]
 91%|#########1| 712/781 [00:37<00:03, 18.92it/s]
 91%|#########1| 714/781 [00:37<00:03, 18.82it/s]
 92%|#########1| 716/781 [00:37<00:03, 19.08it/s]
 92%|#########1| 718/781 [00:37<00:03, 18.95it/s]
 92%|#########2| 720/781 [00:37<00:03, 18.96it/s]
 92%|#########2| 722/781 [00:37<00:03, 19.15it/s]
 93%|#########2| 724/781 [00:37<00:02, 19.18it/s]
 93%|#########2| 726/781 [00:38<00:02, 19.00it/s]
 93%|#########3| 728/781 [00:38<00:02, 19.03it/s]
 93%|#########3| 730/781 [00:38<00:02, 19.16it/s]
 94%|#########3| 732/781 [00:38<00:02, 18.99it/s]
 94%|#########3| 734/781 [00:38<00:02, 19.19it/s]
 94%|#########4| 736/781 [00:38<00:02, 19.25it/s]
 94%|#########4| 738/781 [00:38<00:02, 19.04it/s]
 95%|#########4| 740/781 [00:38<00:02, 18.99it/s]
 95%|#########5| 742/781 [00:38<00:02, 19.08it/s]
 95%|#########5| 744/781 [00:39<00:01, 18.91it/s]
 96%|#########5| 746/781 [00:39<00:01, 18.99it/s]
 96%|#########5| 748/781 [00:39<00:01, 19.22it/s]
 96%|#########6| 750/781 [00:39<00:01, 19.23it/s]
 96%|#########6| 752/781 [00:39<00:01, 19.27it/s]
 97%|#########6| 754/781 [00:39<00:01, 19.29it/s]
 97%|#########6| 756/781 [00:39<00:01, 19.18it/s]
 97%|#########7| 758/781 [00:39<00:01, 19.03it/s]
 97%|#########7| 760/781 [00:39<00:01, 18.79it/s]
 98%|#########7| 762/781 [00:39<00:01, 18.71it/s]
 98%|#########7| 764/781 [00:40<00:00, 18.91it/s]
 98%|#########8| 766/781 [00:40<00:00, 18.69it/s]
 98%|#########8| 768/781 [00:40<00:00, 18.86it/s]
 99%|#########8| 770/781 [00:40<00:00, 18.67it/s]
 99%|#########8| 772/781 [00:40<00:00, 18.91it/s]
 99%|#########9| 774/781 [00:40<00:00, 18.73it/s]
 99%|#########9| 776/781 [00:40<00:00, 18.89it/s]
100%|#########9| 778/781 [00:40<00:00, 18.87it/s]
100%|#########9| 780/781 [00:40<00:00, 18.68it/s]
100%|##########| 781/781 [00:40<00:00, 19.07it/s]



Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]

Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   2%|2         | 1/44 [00:01<00:50,  1.18s/it]
Validation Progress:   2%|2         | 1/44 [00:01<00:50,  1.18s/it]
Validation Progress:   2%|2         | 1/44 [00:01<00:50,  1.19s/it]
Validation Progress:   2%|2         | 1/44 [00:01<00:55,  1.28s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:52,  1.25s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:52,  1.25s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:52,  1.25s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:54,  1.29s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:50,  1.22s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:50,  1.22s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:50,  1.22s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:51,  1.25s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:48,  1.21s/it]
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  3%|2         | 20/781 [00:01<00:39, 19.20it/s]
  3%|2         | 22/781 [00:01<00:39, 19.23it/s]
  3%|3         | 24/781 [00:01<00:39, 19.24it/s]
  3%|3         | 26/781 [00:01<00:38, 19.45it/s]
  4%|3         | 28/781 [00:01<00:39, 19.23it/s]
  4%|3         | 30/781 [00:01<00:38, 19.26it/s]
  4%|4         | 32/781 [00:01<00:38, 19.25it/s]
  4%|4         | 34/781 [00:01<00:38, 19.43it/s]
  5%|4         | 36/781 [00:01<00:38, 19.22it/s]
  5%|4         | 38/781 [00:01<00:38, 19.23it/s]
  5%|5         | 40/781 [00:02<00:38, 19.22it/s]
  5%|5         | 42/781 [00:02<00:38, 19.41it/s]
  6%|5         | 44/781 [00:02<00:38, 19.38it/s]
  6%|5         | 46/781 [00:02<00:38, 19.22it/s]
  6%|6         | 48/781 [00:02<00:38, 19.24it/s]
  6%|6         | 50/781 [00:02<00:37, 19.26it/s]
  7%|6         | 52/781 [00:02<00:37, 19.27it/s]
  7%|6         | 54/781 [00:02<00:37, 19.25it/s]
  7%|7         | 56/781 [00:02<00:37, 19.34it/s]
  7%|7         | 58/781 [00:03<00:37, 19.17it/s]
  8%|7         | 60/781 [00:03<00:37, 19.34it/s]
  8%|7         | 62/781 [00:03<00:37, 19.07it/s]
  8%|8         | 64/781 [00:03<00:37, 19.17it/s]
  8%|8         | 66/781 [00:03<00:37, 18.93it/s]
  9%|8         | 68/781 [00:03<00:37, 19.05it/s]
  9%|8         | 70/781 [00:03<00:37, 18.99it/s]
  9%|9         | 72/781 [00:03<00:37, 18.79it/s]
  9%|9         | 74/781 [00:03<00:37, 18.81it/s]
 10%|9         | 76/781 [00:03<00:37, 18.93it/s]
 10%|9         | 78/781 [00:04<00:37, 18.74it/s]
 10%|#         | 80/781 [00:04<00:37, 18.90it/s]
 10%|#         | 82/781 [00:04<00:37, 18.86it/s]
 11%|#         | 84/781 [00:04<00:37, 18.83it/s]
 11%|#1        | 86/781 [00:04<00:36, 18.86it/s]
 11%|#1        | 88/781 [00:04<00:37, 18.71it/s]
 12%|#1        | 90/781 [00:04<00:36, 18.88it/s]
 12%|#1        | 92/781 [00:04<00:36, 18.84it/s]
 12%|#2        | 94/781 [00:04<00:36, 18.74it/s]
 12%|#2        | 96/781 [00:05<00:36, 18.90it/s]
 13%|#2        | 98/781 [00:05<00:36, 18.72it/s]
 13%|#2        | 100/781 [00:05<00:36, 18.72it/s]
 13%|#3        | 102/781 [00:05<00:36, 18.77it/s]
 13%|#3        | 104/781 [00:05<00:35, 18.91it/s]
 14%|#3        | 106/781 [00:05<00:36, 18.75it/s]
 14%|#3        | 108/781 [00:05<00:35, 18.87it/s]
 14%|#4        | 110/781 [00:05<00:35, 18.81it/s]
 14%|#4        | 112/781 [00:05<00:35, 18.64it/s]
 15%|#4        | 114/781 [00:05<00:35, 18.66it/s]
 15%|#4        | 116/781 [00:06<00:35, 18.97it/s]
 15%|#5        | 118/781 [00:06<00:35, 18.89it/s]
 15%|#5        | 120/781 [00:06<00:34, 18.99it/s]
 16%|#5        | 122/781 [00:06<00:34, 19.06it/s]
 16%|#5        | 124/781 [00:06<00:34, 19.08it/s]
 16%|#6        | 126/781 [00:06<00:33, 19.32it/s]
 16%|#6        | 128/781 [00:06<00:34, 19.03it/s]
 17%|#6        | 130/781 [00:06<00:34, 19.13it/s]
 17%|#6        | 132/781 [00:06<00:34, 19.08it/s]
 17%|#7        | 134/781 [00:07<00:33, 19.14it/s]
 17%|#7        | 136/781 [00:07<00:33, 19.01it/s]
 18%|#7        | 138/781 [00:07<00:33, 19.25it/s]
 18%|#7        | 140/781 [00:07<00:33, 19.08it/s]
 18%|#8        | 142/781 [00:07<00:33, 19.13it/s]
 18%|#8        | 144/781 [00:07<00:32, 19.38it/s]
 19%|#8        | 146/781 [00:07<00:32, 19.36it/s]
 19%|#8        | 148/781 [00:07<00:32, 19.37it/s]
 19%|#9        | 150/781 [00:07<00:32, 19.31it/s]
 19%|#9        | 152/781 [00:07<00:33, 19.02it/s]
 20%|#9        | 154/781 [00:08<00:32, 19.08it/s]
 20%|#9        | 156/781 [00:08<00:32, 19.09it/s]
 20%|##        | 158/781 [00:08<00:32, 18.91it/s]
 20%|##        | 160/781 [00:08<00:33, 18.71it/s]
 21%|##        | 162/781 [00:08<00:33, 18.76it/s]
 21%|##        | 164/781 [00:08<00:32, 18.89it/s]
 21%|##1       | 166/781 [00:08<00:32, 18.71it/s]
 22%|##1       | 168/781 [00:08<00:32, 18.87it/s]
 22%|##1       | 170/781 [00:08<00:32, 19.01it/s]
 22%|##2       | 172/781 [00:09<00:31, 19.13it/s]
 22%|##2       | 174/781 [00:09<00:31, 19.19it/s]
 23%|##2       | 176/781 [00:09<00:31, 19.25it/s]
 23%|##2       | 178/781 [00:09<00:31, 19.28it/s]
 23%|##3       | 180/781 [00:09<00:31, 18.98it/s]
 23%|##3       | 182/781 [00:09<00:31, 18.91it/s]
 24%|##3       | 184/781 [00:09<00:31, 19.15it/s]
 24%|##3       | 186/781 [00:09<00:31, 19.17it/s]
 24%|##4       | 188/781 [00:09<00:30, 19.24it/s]
 24%|##4       | 190/781 [00:09<00:30, 19.24it/s]
 25%|##4       | 192/781 [00:10<00:30, 19.19it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.25it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.31it/s]
 25%|##5       | 198/781 [00:10<00:30, 19.33it/s]
 26%|##5       | 200/781 [00:10<00:30, 19.34it/s]
 26%|##5       | 202/781 [00:10<00:29, 19.35it/s]
 26%|##6       | 204/781 [00:10<00:30, 19.21it/s]
 26%|##6       | 206/781 [00:10<00:29, 19.22it/s]
 27%|##6       | 208/781 [00:10<00:29, 19.14it/s]
 27%|##6       | 210/781 [00:11<00:29, 19.04it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.22it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.08it/s]
 28%|##7       | 216/781 [00:11<00:29, 18.98it/s]
 28%|##7       | 218/781 [00:11<00:29, 18.92it/s]
 28%|##8       | 220/781 [00:11<00:29, 18.93it/s]
 28%|##8       | 222/781 [00:11<00:29, 18.89it/s]
 29%|##8       | 224/781 [00:11<00:29, 18.88it/s]
 29%|##8       | 226/781 [00:11<00:29, 18.95it/s]
 29%|##9       | 228/781 [00:11<00:29, 19.03it/s]
 29%|##9       | 230/781 [00:12<00:28, 19.11it/s]
 30%|##9       | 232/781 [00:12<00:28, 19.20it/s]
 30%|##9       | 234/781 [00:12<00:28, 19.24it/s]
 30%|###       | 236/781 [00:12<00:28, 19.09it/s]
 30%|###       | 238/781 [00:12<00:28, 19.32it/s]
 31%|###       | 240/781 [00:12<00:28, 19.32it/s]
 31%|###       | 242/781 [00:12<00:27, 19.26it/s]
 31%|###1      | 244/781 [00:12<00:27, 19.21it/s]
 31%|###1      | 246/781 [00:12<00:28, 19.09it/s]
 32%|###1      | 248/781 [00:12<00:27, 19.09it/s]
 32%|###2      | 250/781 [00:13<00:27, 19.14it/s]
 32%|###2      | 252/781 [00:13<00:27, 19.22it/s]
 33%|###2      | 254/781 [00:13<00:27, 19.17it/s]
 33%|###2      | 256/781 [00:13<00:27, 18.93it/s]
 33%|###3      | 258/781 [00:13<00:27, 19.06it/s]
 33%|###3      | 260/781 [00:13<00:27, 18.88it/s]
 34%|###3      | 262/781 [00:13<00:27, 18.93it/s]
 34%|###3      | 264/781 [00:13<00:26, 19.22it/s]
 34%|###4      | 266/781 [00:13<00:26, 19.28it/s]
 34%|###4      | 268/781 [00:14<00:26, 19.20it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.27it/s]
 35%|###4      | 272/781 [00:14<00:26, 19.28it/s]
 35%|###5      | 274/781 [00:14<00:26, 19.31it/s]
 35%|###5      | 276/781 [00:14<00:26, 19.09it/s]
 36%|###5      | 278/781 [00:14<00:26, 19.34it/s]
 36%|###5      | 280/781 [00:14<00:25, 19.34it/s]
 36%|###6      | 282/781 [00:14<00:26, 19.18it/s]
 36%|###6      | 284/781 [00:14<00:26, 19.05it/s]
 37%|###6      | 286/781 [00:14<00:26, 19.02it/s]
 37%|###6      | 288/781 [00:15<00:26, 18.96it/s]
 37%|###7      | 290/781 [00:15<00:25, 18.93it/s]
 37%|###7      | 292/781 [00:15<00:26, 18.67it/s]
 38%|###7      | 294/781 [00:15<00:25, 18.86it/s]
 38%|###7      | 296/781 [00:15<00:25, 18.84it/s]
 38%|###8      | 298/781 [00:15<00:25, 18.83it/s]
 38%|###8      | 300/781 [00:15<00:25, 18.55it/s]
 39%|###8      | 302/781 [00:15<00:25, 18.61it/s]
 39%|###8      | 304/781 [00:15<00:25, 18.85it/s]
 39%|###9      | 306/781 [00:16<00:25, 18.99it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.10it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.01it/s]
 40%|###9      | 312/781 [00:16<00:24, 19.23it/s]
 40%|####      | 314/781 [00:16<00:24, 19.20it/s]
 40%|####      | 316/781 [00:16<00:24, 19.09it/s]
 41%|####      | 318/781 [00:16<00:23, 19.32it/s]
 41%|####      | 320/781 [00:16<00:24, 19.07it/s]
 41%|####1     | 322/781 [00:16<00:23, 19.31it/s]
 41%|####1     | 324/781 [00:16<00:23, 19.28it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.13it/s]
 42%|####1     | 328/781 [00:17<00:23, 19.11it/s]
 42%|####2     | 330/781 [00:17<00:23, 19.09it/s]
 43%|####2     | 332/781 [00:17<00:23, 19.35it/s]
 43%|####2     | 334/781 [00:17<00:23, 19.02it/s]
 43%|####3     | 336/781 [00:17<00:23, 18.92it/s]
 43%|####3     | 338/781 [00:17<00:23, 18.98it/s]
 44%|####3     | 340/781 [00:17<00:23, 19.10it/s]
 44%|####3     | 342/781 [00:17<00:23, 18.99it/s]
 44%|####4     | 344/781 [00:18<00:22, 19.11it/s]
 44%|####4     | 346/781 [00:18<00:22, 19.17it/s]
 45%|####4     | 348/781 [00:18<00:22, 19.01it/s]
 45%|####4     | 350/781 [00:18<00:22, 19.06it/s]
 45%|####5     | 352/781 [00:18<00:22, 19.14it/s]
 45%|####5     | 354/781 [00:18<00:22, 18.85it/s]
 46%|####5     | 356/781 [00:18<00:22, 19.07it/s]
 46%|####5     | 358/781 [00:18<00:22, 19.11it/s]
 46%|####6     | 360/781 [00:18<00:22, 19.06it/s]
 46%|####6     | 362/781 [00:18<00:21, 19.11it/s]
 47%|####6     | 364/781 [00:19<00:21, 19.04it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.82it/s]
 47%|####7     | 368/781 [00:19<00:21, 19.02it/s]
 47%|####7     | 370/781 [00:19<00:21, 18.80it/s]
 48%|####7     | 372/781 [00:19<00:21, 19.01it/s]
 48%|####7     | 374/781 [00:19<00:21, 18.97it/s]
 48%|####8     | 376/781 [00:19<00:21, 18.93it/s]
 48%|####8     | 378/781 [00:19<00:21, 18.90it/s]
 49%|####8     | 380/781 [00:19<00:21, 18.96it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.91it/s]
 49%|####9     | 384/781 [00:20<00:20, 19.19it/s]
 49%|####9     | 386/781 [00:20<00:20, 19.09it/s]
 50%|####9     | 388/781 [00:20<00:20, 19.31it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.36it/s]
 50%|#####     | 392/781 [00:20<00:20, 19.36it/s]
 50%|#####     | 394/781 [00:20<00:20, 19.27it/s]
 51%|#####     | 396/781 [00:20<00:20, 19.11it/s]
 51%|#####     | 398/781 [00:20<00:19, 19.22it/s]
 51%|#####1    | 400/781 [00:20<00:19, 19.27it/s]
 51%|#####1    | 402/781 [00:21<00:19, 19.29it/s]
 52%|#####1    | 404/781 [00:21<00:19, 19.12it/s]
 52%|#####1    | 406/781 [00:21<00:19, 19.31it/s]
 52%|#####2    | 408/781 [00:21<00:19, 19.33it/s]
 52%|#####2    | 410/781 [00:21<00:19, 19.35it/s]
 53%|#####2    | 412/781 [00:21<00:19, 19.30it/s]
 53%|#####3    | 414/781 [00:21<00:19, 18.93it/s]
 53%|#####3    | 416/781 [00:21<00:19, 19.05it/s]
 54%|#####3    | 418/781 [00:21<00:19, 18.86it/s]
 54%|#####3    | 420/781 [00:22<00:18, 19.04it/s]
 54%|#####4    | 422/781 [00:22<00:18, 18.99it/s]
 54%|#####4    | 424/781 [00:22<00:18, 19.25it/s]
 55%|#####4    | 426/781 [00:22<00:18, 19.13it/s]
 55%|#####4    | 428/781 [00:22<00:18, 19.16it/s]
 55%|#####5    | 430/781 [00:22<00:18, 19.37it/s]
 55%|#####5    | 432/781 [00:22<00:18, 19.31it/s]
 56%|#####5    | 434/781 [00:22<00:17, 19.32it/s]
 56%|#####5    | 436/781 [00:22<00:17, 19.17it/s]
 56%|#####6    | 438/781 [00:22<00:17, 19.37it/s]
 56%|#####6    | 440/781 [00:23<00:17, 19.36it/s]
 57%|#####6    | 442/781 [00:23<00:17, 19.20it/s]
 57%|#####6    | 444/781 [00:23<00:17, 19.17it/s]
 57%|#####7    | 446/781 [00:23<00:17, 19.18it/s]
 57%|#####7    | 448/781 [00:23<00:17, 18.92it/s]
 58%|#####7    | 450/781 [00:23<00:17, 19.02it/s]
 58%|#####7    | 452/781 [00:23<00:17, 18.96it/s]
 58%|#####8    | 454/781 [00:23<00:17, 18.91it/s]
 58%|#####8    | 456/781 [00:23<00:17, 18.90it/s]
 59%|#####8    | 458/781 [00:23<00:17, 18.97it/s]
 59%|#####8    | 460/781 [00:24<00:16, 19.07it/s]
 59%|#####9    | 462/781 [00:24<00:16, 19.15it/s]
 59%|#####9    | 464/781 [00:24<00:16, 19.05it/s]
 60%|#####9    | 466/781 [00:24<00:16, 19.01it/s]
 60%|#####9    | 468/781 [00:24<00:16, 18.79it/s]
 60%|######    | 470/781 [00:24<00:16, 18.93it/s]
 60%|######    | 472/781 [00:24<00:16, 18.89it/s]
 61%|######    | 474/781 [00:24<00:16, 18.70it/s]
 61%|######    | 476/781 [00:24<00:16, 18.87it/s]
 61%|######1   | 478/781 [00:25<00:16, 18.88it/s]
 61%|######1   | 480/781 [00:25<00:15, 18.83it/s]
 62%|######1   | 482/781 [00:25<00:15, 18.81it/s]
 62%|######1   | 484/781 [00:25<00:15, 18.79it/s]
 62%|######2   | 486/781 [00:25<00:15, 18.82it/s]
 62%|######2   | 488/781 [00:25<00:15, 18.80it/s]
 63%|######2   | 490/781 [00:25<00:15, 18.80it/s]
 63%|######2   | 492/781 [00:25<00:15, 18.79it/s]
 63%|######3   | 494/781 [00:25<00:15, 18.84it/s]
 64%|######3   | 496/781 [00:26<00:15, 18.67it/s]
 64%|######3   | 498/781 [00:26<00:15, 18.86it/s]
 64%|######4   | 500/781 [00:26<00:14, 18.84it/s]
 64%|######4   | 502/781 [00:26<00:14, 18.82it/s]
 65%|######4   | 504/781 [00:26<00:14, 18.64it/s]
 65%|######4   | 506/781 [00:26<00:14, 18.68it/s]
 65%|######5   | 508/781 [00:26<00:14, 18.71it/s]
 65%|######5   | 510/781 [00:26<00:14, 18.80it/s]
 66%|######5   | 512/781 [00:26<00:14, 18.95it/s]
 66%|######5   | 514/781 [00:26<00:13, 19.21it/s]
 66%|######6   | 516/781 [00:27<00:13, 19.26it/s]
 66%|######6   | 518/781 [00:27<00:13, 19.12it/s]
 67%|######6   | 520/781 [00:27<00:13, 19.16it/s]
 67%|######6   | 522/781 [00:27<00:13, 19.39it/s]
 67%|######7   | 524/781 [00:27<00:13, 19.22it/s]
 67%|######7   | 526/781 [00:27<00:13, 19.40it/s]
 68%|######7   | 528/781 [00:27<00:13, 19.38it/s]
 68%|######7   | 530/781 [00:27<00:12, 19.36it/s]
 68%|######8   | 532/781 [00:27<00:12, 19.37it/s]
 68%|######8   | 534/781 [00:28<00:12, 19.18it/s]
 69%|######8   | 536/781 [00:28<00:12, 19.06it/s]
 69%|######8   | 538/781 [00:28<00:12, 19.11it/s]
 69%|######9   | 540/781 [00:28<00:12, 18.95it/s]
 69%|######9   | 542/781 [00:28<00:12, 18.85it/s]
 70%|######9   | 544/781 [00:28<00:12, 18.66it/s]
 70%|######9   | 546/781 [00:28<00:12, 18.65it/s]
 70%|#######   | 548/781 [00:28<00:12, 18.60it/s]
 70%|#######   | 550/781 [00:28<00:12, 18.51it/s]
 71%|#######   | 552/781 [00:28<00:12, 18.58it/s]
 71%|#######   | 554/781 [00:29<00:12, 18.71it/s]
 71%|#######1  | 556/781 [00:29<00:11, 18.76it/s]
 71%|#######1  | 558/781 [00:29<00:11, 18.89it/s]
 72%|#######1  | 560/781 [00:29<00:11, 19.14it/s]
 72%|#######1  | 562/781 [00:29<00:11, 19.08it/s]
 72%|#######2  | 564/781 [00:29<00:11, 19.13it/s]
 72%|#######2  | 566/781 [00:29<00:11, 19.17it/s]
 73%|#######2  | 568/781 [00:29<00:11, 19.23it/s]
 73%|#######2  | 570/781 [00:29<00:11, 18.92it/s]
 73%|#######3  | 572/781 [00:30<00:10, 19.07it/s]
 73%|#######3  | 574/781 [00:30<00:10, 18.97it/s]
 74%|#######3  | 576/781 [00:30<00:10, 18.79it/s]
 74%|#######4  | 578/781 [00:30<00:10, 18.79it/s]
 74%|#######4  | 580/781 [00:30<00:10, 18.80it/s]
 75%|#######4  | 582/781 [00:30<00:10, 18.94it/s]
 75%|#######4  | 584/781 [00:30<00:10, 19.20it/s]
 75%|#######5  | 586/781 [00:30<00:10, 19.06it/s]
 75%|#######5  | 588/781 [00:30<00:10, 19.14it/s]
 76%|#######5  | 590/781 [00:30<00:09, 19.12it/s]
 76%|#######5  | 592/781 [00:31<00:09, 19.34it/s]
 76%|#######6  | 594/781 [00:31<00:09, 19.19it/s]
 76%|#######6  | 596/781 [00:31<00:09, 19.21it/s]
 77%|#######6  | 598/781 [00:31<00:09, 19.24it/s]
 77%|#######6  | 600/781 [00:31<00:09, 19.28it/s]
 77%|#######7  | 602/781 [00:31<00:09, 19.29it/s]
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Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.38s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.39s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.39s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.39s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.39s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.39s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.39s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.16s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.16s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.16s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.16s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:04<00:00,  4.16s/it]
100%|##########| 1/1 [00:04<00:00,  4.16s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:11, 13.28it/s]
  3%|2         | 4/157 [00:00<00:11, 13.74it/s]
  4%|3         | 6/157 [00:00<00:10, 14.34it/s]
  5%|5         | 8/157 [00:00<00:09, 15.00it/s]
  6%|6         | 10/157 [00:00<00:09, 15.37it/s]
  8%|7         | 12/157 [00:00<00:09, 15.63it/s]
  9%|8         | 14/157 [00:00<00:09, 15.74it/s]
 10%|#         | 16/157 [00:01<00:08, 15.87it/s]
 11%|#1        | 18/157 [00:01<00:08, 15.92it/s]
 13%|#2        | 20/157 [00:01<00:08, 15.93it/s]
 14%|#4        | 22/157 [00:01<00:08, 15.90it/s]
 15%|#5        | 24/157 [00:01<00:08, 15.87it/s]
 17%|#6        | 26/157 [00:01<00:08, 15.86it/s]
 18%|#7        | 28/157 [00:01<00:08, 15.84it/s]
 19%|#9        | 30/157 [00:01<00:08, 15.84it/s]
 20%|##        | 32/157 [00:02<00:07, 15.84it/s]
 22%|##1       | 34/157 [00:02<00:07, 15.82it/s]
 23%|##2       | 36/157 [00:02<00:07, 15.84it/s]
 24%|##4       | 38/157 [00:02<00:07, 15.79it/s]
 25%|##5       | 40/157 [00:02<00:07, 15.76it/s]
 27%|##6       | 42/157 [00:02<00:07, 15.73it/s]
 28%|##8       | 44/157 [00:02<00:07, 15.65it/s]
 29%|##9       | 46/157 [00:02<00:07, 15.69it/s]
 31%|###       | 48/157 [00:03<00:06, 15.81it/s]
 32%|###1      | 50/157 [00:03<00:06, 15.86it/s]
 33%|###3      | 52/157 [00:03<00:06, 15.89it/s]
 34%|###4      | 54/157 [00:03<00:06, 15.93it/s]
 36%|###5      | 56/157 [00:03<00:06, 15.95it/s]
 37%|###6      | 58/157 [00:03<00:06, 15.98it/s]
 38%|###8      | 60/157 [00:03<00:06, 15.98it/s]
 39%|###9      | 62/157 [00:03<00:05, 16.01it/s]
 41%|####      | 64/157 [00:04<00:05, 16.05it/s]
 42%|####2     | 66/157 [00:04<00:05, 16.10it/s]
 43%|####3     | 68/157 [00:04<00:05, 16.08it/s]
 45%|####4     | 70/157 [00:04<00:05, 16.03it/s]
 46%|####5     | 72/157 [00:04<00:05, 15.95it/s]
 47%|####7     | 74/157 [00:04<00:05, 15.70it/s]
 48%|####8     | 76/157 [00:04<00:05, 15.73it/s]
 50%|####9     | 78/157 [00:04<00:04, 15.87it/s]
 51%|#####     | 80/157 [00:05<00:04, 15.98it/s]
 52%|#####2    | 82/157 [00:05<00:04, 16.03it/s]
 54%|#####3    | 84/157 [00:05<00:04, 16.09it/s]
 55%|#####4    | 86/157 [00:05<00:04, 16.13it/s]
 56%|#####6    | 88/157 [00:05<00:04, 16.16it/s]
 57%|#####7    | 90/157 [00:05<00:04, 16.19it/s]
 59%|#####8    | 92/157 [00:05<00:04, 16.18it/s]
 60%|#####9    | 94/157 [00:05<00:03, 16.21it/s]
 61%|######1   | 96/157 [00:06<00:04, 13.71it/s]
 62%|######2   | 98/157 [00:06<00:04, 14.39it/s]
 64%|######3   | 100/157 [00:06<00:03, 14.91it/s]
 65%|######4   | 102/157 [00:06<00:03, 15.31it/s]
 66%|######6   | 104/157 [00:06<00:03, 15.59it/s]
 68%|######7   | 106/157 [00:06<00:03, 15.79it/s]
 69%|######8   | 108/157 [00:06<00:03, 15.92it/s]
 70%|#######   | 110/157 [00:06<00:02, 16.02it/s]
 71%|#######1  | 112/157 [00:07<00:02, 16.09it/s]
 73%|#######2  | 114/157 [00:07<00:02, 16.13it/s]
 74%|#######3  | 116/157 [00:07<00:02, 16.15it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.19it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.22it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.24it/s]
 79%|#######8  | 124/157 [00:07<00:02, 16.23it/s]
 80%|########  | 126/157 [00:07<00:01, 16.24it/s]
 82%|########1 | 128/157 [00:08<00:01, 16.23it/s]
 83%|########2 | 130/157 [00:08<00:01, 16.04it/s]
 84%|########4 | 132/157 [00:08<00:01, 16.09it/s]
 85%|########5 | 134/157 [00:08<00:01, 15.94it/s]
 87%|########6 | 136/157 [00:08<00:01, 15.93it/s]
 88%|########7 | 138/157 [00:08<00:01, 15.86it/s]
 89%|########9 | 140/157 [00:08<00:01, 15.88it/s]
 90%|######### | 142/157 [00:08<00:00, 15.72it/s]
 92%|#########1| 144/157 [00:09<00:00, 15.74it/s]
 93%|#########2| 146/157 [00:09<00:00, 15.73it/s]
 94%|#########4| 148/157 [00:09<00:00, 15.74it/s]
 96%|#########5| 150/157 [00:09<00:00, 15.77it/s]
 97%|#########6| 152/157 [00:09<00:00, 15.78it/s]
 98%|#########8| 154/157 [00:09<00:00, 15.80it/s]
 99%|#########9| 156/157 [00:09<00:00, 15.92it/s]
100%|##########| 157/157 [00:09<00:00, 15.85it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:54, 14.26it/s]
  1%|          | 4/781 [00:00<00:55, 13.94it/s]
  1%|          | 6/781 [00:00<00:50, 15.34it/s]
  1%|1         | 8/781 [00:00<00:47, 16.13it/s]
  1%|1         | 10/781 [00:00<00:46, 16.69it/s]
  2%|1         | 12/781 [00:00<00:44, 17.09it/s]
  2%|1         | 14/781 [00:00<00:44, 17.39it/s]
  2%|2         | 16/781 [00:00<00:43, 17.43it/s]
  2%|2         | 18/781 [00:01<00:43, 17.50it/s]
  3%|2         | 20/781 [00:01<00:43, 17.56it/s]
  3%|2         | 22/781 [00:01<00:43, 17.57it/s]
  3%|3         | 24/781 [00:01<00:43, 17.47it/s]
  3%|3         | 26/781 [00:01<00:43, 17.49it/s]
  4%|3         | 28/781 [00:01<00:42, 17.65it/s]
  4%|3         | 30/781 [00:01<00:42, 17.73it/s]
  4%|4         | 32/781 [00:01<00:41, 17.84it/s]
  4%|4         | 34/781 [00:01<00:41, 17.87it/s]
  5%|4         | 36/781 [00:02<00:41, 17.93it/s]
  5%|4         | 38/781 [00:02<00:41, 17.97it/s]
  5%|5         | 40/781 [00:02<00:41, 18.00it/s]
  5%|5         | 42/781 [00:02<00:41, 17.94it/s]
  6%|5         | 44/781 [00:02<00:41, 17.93it/s]
  6%|5         | 46/781 [00:02<00:41, 17.87it/s]
  6%|6         | 48/781 [00:02<00:41, 17.84it/s]
  6%|6         | 50/781 [00:02<00:40, 17.88it/s]
  7%|6         | 52/781 [00:02<00:40, 17.79it/s]
  7%|6         | 54/781 [00:03<00:41, 17.67it/s]
  7%|7         | 56/781 [00:03<00:41, 17.62it/s]
  7%|7         | 58/781 [00:03<00:41, 17.56it/s]
  8%|7         | 60/781 [00:03<00:40, 17.70it/s]
  8%|7         | 62/781 [00:03<00:40, 17.72it/s]
  8%|8         | 64/781 [00:03<00:40, 17.78it/s]
  8%|8         | 66/781 [00:03<00:40, 17.81it/s]
  9%|8         | 68/781 [00:03<00:39, 17.90it/s]
  9%|8         | 70/781 [00:03<00:39, 17.86it/s]
  9%|9         | 72/781 [00:04<00:40, 17.69it/s]
  9%|9         | 74/781 [00:04<00:40, 17.58it/s]
 10%|9         | 76/781 [00:04<00:40, 17.50it/s]
 10%|9         | 78/781 [00:04<00:40, 17.51it/s]
 10%|#         | 80/781 [00:04<00:40, 17.52it/s]
 10%|#         | 82/781 [00:04<00:39, 17.53it/s]
 11%|#         | 84/781 [00:04<00:39, 17.53it/s]
 11%|#1        | 86/781 [00:04<00:39, 17.55it/s]
 11%|#1        | 88/781 [00:05<00:39, 17.55it/s]
 12%|#1        | 90/781 [00:05<00:39, 17.55it/s]
 12%|#1        | 92/781 [00:05<00:39, 17.54it/s]
 12%|#2        | 94/781 [00:05<00:39, 17.51it/s]
 12%|#2        | 96/781 [00:05<00:39, 17.54it/s]
 13%|#2        | 98/781 [00:05<00:38, 17.58it/s]
 13%|#2        | 100/781 [00:05<00:38, 17.56it/s]
 13%|#3        | 102/781 [00:05<00:38, 17.57it/s]
 13%|#3        | 104/781 [00:05<00:38, 17.56it/s]
 14%|#3        | 106/781 [00:06<00:38, 17.55it/s]
 14%|#3        | 108/781 [00:06<00:38, 17.64it/s]
 14%|#4        | 110/781 [00:06<00:38, 17.64it/s]
 14%|#4        | 112/781 [00:06<00:38, 17.57it/s]
 15%|#4        | 114/781 [00:06<00:37, 17.57it/s]
 15%|#4        | 116/781 [00:06<00:37, 17.53it/s]
 15%|#5        | 118/781 [00:06<00:37, 17.57it/s]
 15%|#5        | 120/781 [00:06<00:37, 17.55it/s]
 16%|#5        | 122/781 [00:06<00:37, 17.58it/s]
 16%|#5        | 124/781 [00:07<00:37, 17.68it/s]
 16%|#6        | 126/781 [00:07<00:36, 17.75it/s]
 16%|#6        | 128/781 [00:07<00:36, 17.82it/s]
 17%|#6        | 130/781 [00:07<00:36, 17.92it/s]
 17%|#6        | 132/781 [00:07<00:36, 17.96it/s]
 17%|#7        | 134/781 [00:07<00:36, 17.97it/s]
 17%|#7        | 136/781 [00:07<00:35, 18.00it/s]
 18%|#7        | 138/781 [00:07<00:35, 17.99it/s]
 18%|#7        | 140/781 [00:07<00:35, 17.98it/s]
 18%|#8        | 142/781 [00:08<00:35, 17.86it/s]
 18%|#8        | 144/781 [00:08<00:35, 17.89it/s]
 19%|#8        | 146/781 [00:08<00:35, 17.77it/s]
 19%|#8        | 148/781 [00:08<00:36, 17.36it/s]
 19%|#9        | 150/781 [00:08<00:36, 17.38it/s]
 19%|#9        | 152/781 [00:08<00:36, 17.37it/s]
 20%|#9        | 154/781 [00:08<00:36, 17.35it/s]
 20%|#9        | 156/781 [00:08<00:36, 17.27it/s]
 20%|##        | 158/781 [00:08<00:35, 17.47it/s]
 20%|##        | 160/781 [00:09<00:35, 17.62it/s]
 21%|##        | 162/781 [00:09<00:35, 17.60it/s]
 21%|##        | 164/781 [00:09<00:35, 17.59it/s]
 21%|##1       | 166/781 [00:09<00:34, 17.70it/s]
 22%|##1       | 168/781 [00:09<00:34, 17.78it/s]
 22%|##1       | 170/781 [00:09<00:34, 17.81it/s]
 22%|##2       | 172/781 [00:09<00:34, 17.64it/s]
 22%|##2       | 174/781 [00:09<00:34, 17.72it/s]
 23%|##2       | 176/781 [00:10<00:34, 17.78it/s]
 23%|##2       | 178/781 [00:10<00:33, 17.82it/s]
 23%|##3       | 180/781 [00:10<00:33, 17.85it/s]
 23%|##3       | 182/781 [00:10<00:33, 17.89it/s]
 24%|##3       | 184/781 [00:10<00:33, 17.90it/s]
 24%|##3       | 186/781 [00:10<00:33, 17.91it/s]
 24%|##4       | 188/781 [00:10<00:33, 17.93it/s]
 24%|##4       | 190/781 [00:10<00:32, 17.94it/s]
 25%|##4       | 192/781 [00:10<00:32, 17.95it/s]
 25%|##4       | 194/781 [00:11<00:32, 17.95it/s]
 25%|##5       | 196/781 [00:11<00:32, 17.94it/s]
 25%|##5       | 198/781 [00:11<00:32, 17.94it/s]
 26%|##5       | 200/781 [00:11<00:32, 17.94it/s]
 26%|##5       | 202/781 [00:11<00:32, 17.95it/s]
 26%|##6       | 204/781 [00:11<00:32, 17.93it/s]
 26%|##6       | 206/781 [00:11<00:32, 17.95it/s]
 27%|##6       | 208/781 [00:11<00:31, 17.96it/s]
 27%|##6       | 210/781 [00:11<00:31, 17.98it/s]
 27%|##7       | 212/781 [00:12<00:31, 17.98it/s]
 27%|##7       | 214/781 [00:12<00:31, 17.96it/s]
 28%|##7       | 216/781 [00:12<00:31, 17.95it/s]
 28%|##7       | 218/781 [00:12<00:31, 17.96it/s]
 28%|##8       | 220/781 [00:12<00:31, 17.95it/s]
 28%|##8       | 222/781 [00:12<00:31, 17.93it/s]
 29%|##8       | 224/781 [00:12<00:31, 17.93it/s]
 29%|##8       | 226/781 [00:12<00:31, 17.89it/s]
 29%|##9       | 228/781 [00:12<00:31, 17.81it/s]
 29%|##9       | 230/781 [00:13<00:31, 17.72it/s]
 30%|##9       | 232/781 [00:13<00:31, 17.65it/s]
 30%|##9       | 234/781 [00:13<00:31, 17.63it/s]
 30%|###       | 236/781 [00:13<00:30, 17.67it/s]
 30%|###       | 238/781 [00:13<00:30, 17.66it/s]
 31%|###       | 240/781 [00:13<00:30, 17.59it/s]
 31%|###       | 242/781 [00:13<00:30, 17.57it/s]
 31%|###1      | 244/781 [00:13<00:30, 17.55it/s]
 31%|###1      | 246/781 [00:13<00:30, 17.51it/s]
 32%|###1      | 248/781 [00:14<00:30, 17.52it/s]
 32%|###2      | 250/781 [00:14<00:30, 17.51it/s]
 32%|###2      | 252/781 [00:14<00:30, 17.50it/s]
 33%|###2      | 254/781 [00:14<00:30, 17.53it/s]
 33%|###2      | 256/781 [00:14<00:29, 17.67it/s]
 33%|###3      | 258/781 [00:14<00:29, 17.74it/s]
 33%|###3      | 260/781 [00:14<00:29, 17.79it/s]
 34%|###3      | 262/781 [00:14<00:29, 17.83it/s]
 34%|###3      | 264/781 [00:14<00:28, 17.88it/s]
 34%|###4      | 266/781 [00:15<00:28, 17.91it/s]
 34%|###4      | 268/781 [00:15<00:28, 17.91it/s]
 35%|###4      | 270/781 [00:15<00:28, 17.90it/s]
 35%|###4      | 272/781 [00:15<00:28, 17.84it/s]
 35%|###5      | 274/781 [00:15<00:28, 17.75it/s]
 35%|###5      | 276/781 [00:15<00:28, 17.68it/s]
 36%|###5      | 278/781 [00:15<00:28, 17.65it/s]
 36%|###5      | 280/781 [00:15<00:28, 17.55it/s]
 36%|###6      | 282/781 [00:15<00:28, 17.53it/s]
 36%|###6      | 284/781 [00:16<00:28, 17.61it/s]
 37%|###6      | 286/781 [00:16<00:27, 17.71it/s]
 37%|###6      | 288/781 [00:16<00:27, 17.77it/s]
 37%|###7      | 290/781 [00:16<00:27, 17.79it/s]
 37%|###7      | 292/781 [00:16<00:27, 17.80it/s]
 38%|###7      | 294/781 [00:16<00:27, 17.81it/s]
 38%|###7      | 296/781 [00:16<00:27, 17.81it/s]
 38%|###8      | 298/781 [00:16<00:27, 17.82it/s]
 38%|###8      | 300/781 [00:16<00:27, 17.81it/s]
 39%|###8      | 302/781 [00:17<00:26, 17.82it/s]
 39%|###8      | 304/781 [00:17<00:26, 17.82it/s]
 39%|###9      | 306/781 [00:17<00:26, 17.81it/s]
 39%|###9      | 308/781 [00:17<00:26, 17.84it/s]
 40%|###9      | 310/781 [00:17<00:26, 17.85it/s]
 40%|###9      | 312/781 [00:17<00:26, 17.83it/s]
 40%|####      | 314/781 [00:17<00:26, 17.81it/s]
 40%|####      | 316/781 [00:17<00:26, 17.85it/s]
 41%|####      | 318/781 [00:17<00:26, 17.66it/s]
 41%|####      | 320/781 [00:18<00:26, 17.68it/s]
 41%|####1     | 322/781 [00:18<00:25, 17.72it/s]
 41%|####1     | 324/781 [00:18<00:25, 17.64it/s]
 42%|####1     | 326/781 [00:18<00:25, 17.67it/s]
 42%|####1     | 328/781 [00:18<00:25, 17.54it/s]
 42%|####2     | 330/781 [00:18<00:25, 17.51it/s]
 43%|####2     | 332/781 [00:18<00:25, 17.47it/s]
 43%|####2     | 334/781 [00:18<00:25, 17.38it/s]
 43%|####3     | 336/781 [00:19<00:25, 17.41it/s]
 43%|####3     | 338/781 [00:19<00:25, 17.43it/s]
 44%|####3     | 340/781 [00:19<00:25, 17.44it/s]
 44%|####3     | 342/781 [00:19<00:25, 17.43it/s]
 44%|####4     | 344/781 [00:19<00:25, 17.44it/s]
 44%|####4     | 346/781 [00:19<00:24, 17.46it/s]
 45%|####4     | 348/781 [00:19<00:25, 17.32it/s]
 45%|####4     | 350/781 [00:19<00:24, 17.35it/s]
 45%|####5     | 352/781 [00:19<00:24, 17.38it/s]
 45%|####5     | 354/781 [00:20<00:24, 17.38it/s]
 46%|####5     | 356/781 [00:20<00:24, 17.41it/s]
 46%|####5     | 358/781 [00:20<00:24, 17.42it/s]
 46%|####6     | 360/781 [00:20<00:23, 17.54it/s]
 46%|####6     | 362/781 [00:20<00:23, 17.67it/s]
 47%|####6     | 364/781 [00:20<00:23, 17.73it/s]
 47%|####6     | 366/781 [00:20<00:23, 17.78it/s]
 47%|####7     | 368/781 [00:20<00:23, 17.82it/s]
 47%|####7     | 370/781 [00:20<00:23, 17.84it/s]
 48%|####7     | 372/781 [00:21<00:22, 17.88it/s]
 48%|####7     | 374/781 [00:21<00:22, 17.88it/s]
 48%|####8     | 376/781 [00:21<00:22, 17.90it/s]
 48%|####8     | 378/781 [00:21<00:22, 17.92it/s]
 49%|####8     | 380/781 [00:21<00:22, 17.93it/s]
 49%|####8     | 382/781 [00:21<00:22, 17.93it/s]
 49%|####9     | 384/781 [00:21<00:22, 17.93it/s]
 49%|####9     | 386/781 [00:21<00:22, 17.91it/s]
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100%|##########| 781/781 [00:42<00:00, 19.60it/s]
100%|##########| 781/781 [00:42<00:00, 18.51it/s]




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Validation Progress:  61%|######1   | 27/44 [00:34<00:22,  1.35s/it]
Validation Progress:  61%|######1   | 27/44 [00:34<00:22,  1.35s/it]
Validation Progress:  64%|######3   | 28/44 [00:36<00:21,  1.35s/it]
Validation Progress:  64%|######3   | 28/44 [00:36<00:21,  1.35s/it]
Validation Progress:  64%|######3   | 28/44 [00:36<00:21,  1.35s/it]
Validation Progress:  64%|######3   | 28/44 [00:36<00:21,  1.35s/it]
Validation Progress:  66%|######5   | 29/44 [00:37<00:19,  1.31s/it]
Validation Progress:  66%|######5   | 29/44 [00:37<00:19,  1.31s/it]
Validation Progress:  66%|######5   | 29/44 [00:37<00:19,  1.31s/it]
Validation Progress:  66%|######5   | 29/44 [00:37<00:19,  1.31s/it]
Validation Progress:  68%|######8   | 30/44 [00:38<00:18,  1.33s/it]
Validation Progress:  68%|######8   | 30/44 [00:38<00:18,  1.33s/it]
Validation Progress:  68%|######8   | 30/44 [00:38<00:18,  1.33s/it]
Validation Progress:  68%|######8   | 30/44 [00:38<00:18,  1.33s/it]
Validation Progress:  70%|#######   | 31/44 [00:40<00:17,  1.32s/it]
Validation Progress:  70%|#######   | 31/44 [00:40<00:17,  1.32s/it]
Validation Progress:  70%|#######   | 31/44 [00:40<00:17,  1.32s/it]
Validation Progress:  70%|#######   | 31/44 [00:40<00:17,  1.32s/it]
Validation Progress:  73%|#######2  | 32/44 [00:41<00:15,  1.30s/it]
Validation Progress:  73%|#######2  | 32/44 [00:41<00:15,  1.30s/it]
Validation Progress:  73%|#######2  | 32/44 [00:41<00:15,  1.30s/it]
Validation Progress:  73%|#######2  | 32/44 [00:41<00:15,  1.30s/it]
Validation Progress:  75%|#######5  | 33/44 [00:42<00:14,  1.29s/it]
Validation Progress:  75%|#######5  | 33/44 [00:42<00:14,  1.29s/it]
Validation Progress:  75%|#######5  | 33/44 [00:42<00:14,  1.29s/it]
Validation Progress:  75%|#######5  | 33/44 [00:42<00:14,  1.29s/it]
Validation Progress:  77%|#######7  | 34/44 [00:44<00:13,  1.37s/it]
Validation Progress:  77%|#######7  | 34/44 [00:44<00:13,  1.37s/it]
Validation Progress:  77%|#######7  | 34/44 [00:44<00:13,  1.38s/it]
Validation Progress:  77%|#######7  | 34/44 [00:44<00:13,  1.38s/it]
Validation Progress:  80%|#######9  | 35/44 [00:45<00:12,  1.37s/it]
Validation Progress:  80%|#######9  | 35/44 [00:45<00:12,  1.37s/it]
Validation Progress:  80%|#######9  | 35/44 [00:45<00:12,  1.37s/it]
Validation Progress:  80%|#######9  | 35/44 [00:45<00:12,  1.37s/it]
Validation Progress:  82%|########1 | 36/44 [00:47<00:11,  1.38s/it]
Validation Progress:  82%|########1 | 36/44 [00:47<00:11,  1.38s/it]
Validation Progress:  82%|########1 | 36/44 [00:47<00:11,  1.38s/it]
Validation Progress:  82%|########1 | 36/44 [00:47<00:11,  1.38s/it]
Validation Progress:  84%|########4 | 37/44 [00:48<00:09,  1.42s/it]
Validation Progress:  84%|########4 | 37/44 [00:48<00:09,  1.42s/it]
Validation Progress:  84%|########4 | 37/44 [00:48<00:09,  1.42s/it]
Validation Progress:  84%|########4 | 37/44 [00:48<00:09,  1.42s/it]
Validation Progress:  86%|########6 | 38/44 [00:49<00:08,  1.42s/it]
Validation Progress:  86%|########6 | 38/44 [00:49<00:08,  1.42s/it]
Validation Progress:  86%|########6 | 38/44 [00:49<00:08,  1.42s/it]
Validation Progress:  86%|########6 | 38/44 [00:49<00:08,  1.42s/it]
Validation Progress:  89%|########8 | 39/44 [00:51<00:06,  1.37s/it]
Validation Progress:  89%|########8 | 39/44 [00:51<00:06,  1.37s/it]
Validation Progress:  89%|########8 | 39/44 [00:51<00:06,  1.37s/it]
Validation Progress:  89%|########8 | 39/44 [00:51<00:06,  1.37s/it]
Validation Progress:  91%|######### | 40/44 [00:52<00:05,  1.36s/it]
Validation Progress:  91%|######### | 40/44 [00:52<00:05,  1.36s/it]
Validation Progress:  91%|######### | 40/44 [00:52<00:05,  1.36s/it]
Validation Progress:  91%|######### | 40/44 [00:52<00:05,  1.36s/it]
Validation Progress:  93%|#########3| 41/44 [00:54<00:04,  1.41s/it]
Validation Progress:  93%|#########3| 41/44 [00:54<00:04,  1.41s/it]
Validation Progress:  93%|#########3| 41/44 [00:54<00:04,  1.41s/it]
Validation Progress:  93%|#########3| 41/44 [00:54<00:04,  1.41s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.39s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.39s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.39s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.40s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.40s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.40s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.40s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.40s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.16s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.31s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.17s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.17s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.31s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.31s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.17s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.31s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:04<00:00,  4.76s/it]
100%|##########| 1/1 [00:04<00:00,  4.77s/it]

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  8%|7         | 12/157 [00:00<00:08, 17.20it/s]
  9%|8         | 14/157 [00:00<00:08, 17.19it/s]
 10%|#         | 16/157 [00:00<00:08, 17.11it/s]
 11%|#1        | 18/157 [00:01<00:08, 17.14it/s]
 13%|#2        | 20/157 [00:01<00:07, 17.24it/s]
 14%|#4        | 22/157 [00:01<00:08, 16.85it/s]
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 18%|#7        | 28/157 [00:01<00:07, 16.97it/s]
 19%|#9        | 30/157 [00:01<00:07, 16.99it/s]
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 41%|####      | 64/157 [00:03<00:05, 17.16it/s]
 42%|####2     | 66/157 [00:03<00:05, 16.86it/s]
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 51%|#####     | 80/157 [00:04<00:04, 17.07it/s]
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100%|##########| 157/157 [00:09<00:00, 17.15it/s]

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  7%|7         | 56/781 [00:03<00:43, 16.68it/s]
  7%|7         | 58/781 [00:03<00:43, 16.77it/s]
  8%|7         | 60/781 [00:03<00:42, 16.83it/s]
  8%|7         | 62/781 [00:03<00:43, 16.68it/s]
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  9%|8         | 68/781 [00:04<00:42, 16.60it/s]
  9%|8         | 70/781 [00:04<00:42, 16.68it/s]
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 10%|9         | 76/781 [00:04<00:41, 17.00it/s]
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 10%|#         | 82/781 [00:04<00:40, 17.20it/s]
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 11%|#1        | 86/781 [00:05<00:40, 17.20it/s]
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 14%|#3        | 106/781 [00:06<00:39, 17.24it/s]
 14%|#3        | 108/781 [00:06<00:38, 17.34it/s]
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 21%|##        | 162/781 [00:09<00:36, 16.82it/s]
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 21%|##1       | 166/781 [00:09<00:35, 17.21it/s]
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 22%|##1       | 170/781 [00:10<00:35, 16.97it/s]
 22%|##2       | 172/781 [00:10<00:36, 16.80it/s]
 22%|##2       | 174/781 [00:10<00:35, 16.87it/s]
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 23%|##3       | 180/781 [00:10<00:36, 16.68it/s]
 23%|##3       | 182/781 [00:10<00:35, 16.74it/s]
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 31%|###1      | 244/781 [00:14<00:31, 16.87it/s]
 31%|###1      | 246/781 [00:14<00:32, 16.69it/s]
 32%|###1      | 248/781 [00:14<00:31, 16.99it/s]
 32%|###2      | 250/781 [00:14<00:31, 17.00it/s]
 32%|###2      | 252/781 [00:14<00:31, 17.00it/s]
 33%|###2      | 254/781 [00:15<00:31, 16.99it/s]
 33%|###2      | 256/781 [00:15<00:31, 16.91it/s]
 33%|###3      | 258/781 [00:15<00:31, 16.80it/s]
 33%|###3      | 260/781 [00:15<00:31, 16.67it/s]
 34%|###3      | 262/781 [00:15<00:31, 16.47it/s]
 34%|###3      | 264/781 [00:15<00:31, 16.24it/s]
 34%|###4      | 266/781 [00:15<00:31, 16.21it/s]
 34%|###4      | 268/781 [00:15<00:31, 16.39it/s]
 35%|###4      | 270/781 [00:16<00:30, 16.51it/s]
 35%|###4      | 272/781 [00:16<00:30, 16.46it/s]
 35%|###5      | 274/781 [00:16<00:30, 16.60it/s]
 35%|###5      | 276/781 [00:16<00:30, 16.49it/s]
 36%|###5      | 278/781 [00:16<00:30, 16.44it/s]
 36%|###5      | 280/781 [00:16<00:30, 16.41it/s]
 36%|###6      | 282/781 [00:16<00:30, 16.36it/s]
 36%|###6      | 284/781 [00:16<00:30, 16.34it/s]
 37%|###6      | 286/781 [00:17<00:30, 16.34it/s]
 37%|###6      | 288/781 [00:17<00:30, 16.30it/s]
 37%|###7      | 290/781 [00:17<00:30, 16.30it/s]
 37%|###7      | 292/781 [00:17<00:29, 16.66it/s]
 38%|###7      | 294/781 [00:17<00:29, 16.56it/s]
 38%|###7      | 296/781 [00:17<00:29, 16.49it/s]
 38%|###8      | 298/781 [00:17<00:29, 16.63it/s]
 38%|###8      | 300/781 [00:17<00:29, 16.51it/s]
 39%|###8      | 302/781 [00:18<00:29, 16.45it/s]
 39%|###8      | 304/781 [00:18<00:28, 16.78it/s]
 39%|###9      | 306/781 [00:18<00:28, 16.63it/s]
 39%|###9      | 308/781 [00:18<00:28, 16.54it/s]
 40%|###9      | 310/781 [00:18<00:28, 16.64it/s]
 40%|###9      | 312/781 [00:18<00:28, 16.70it/s]
 40%|####      | 314/781 [00:18<00:28, 16.59it/s]
 40%|####      | 316/781 [00:18<00:28, 16.48it/s]
 41%|####      | 318/781 [00:18<00:28, 16.43it/s]
 41%|####      | 320/781 [00:19<00:28, 16.38it/s]
 41%|####1     | 322/781 [00:19<00:27, 16.51it/s]
 41%|####1     | 324/781 [00:19<00:27, 16.58it/s]
 42%|####1     | 326/781 [00:19<00:27, 16.71it/s]
 42%|####1     | 328/781 [00:19<00:27, 16.62it/s]
 42%|####2     | 330/781 [00:19<00:27, 16.52it/s]
 43%|####2     | 332/781 [00:19<00:26, 16.64it/s]
 43%|####2     | 334/781 [00:19<00:27, 16.54it/s]
 43%|####3     | 336/781 [00:20<00:26, 16.48it/s]
 43%|####3     | 338/781 [00:20<00:26, 16.61it/s]
 44%|####3     | 340/781 [00:20<00:26, 16.71it/s]
 44%|####3     | 342/781 [00:20<00:26, 16.55it/s]
 44%|####4     | 344/781 [00:20<00:26, 16.41it/s]
 44%|####4     | 346/781 [00:20<00:26, 16.54it/s]
 45%|####4     | 348/781 [00:20<00:26, 16.45it/s]
 45%|####4     | 350/781 [00:20<00:25, 16.63it/s]
 45%|####5     | 352/781 [00:21<00:25, 16.64it/s]
 45%|####5     | 354/781 [00:21<00:25, 16.62it/s]
 46%|####5     | 356/781 [00:21<00:25, 16.86it/s]
 46%|####5     | 358/781 [00:21<00:25, 16.67it/s]
 46%|####6     | 360/781 [00:21<00:25, 16.51it/s]
 46%|####6     | 362/781 [00:21<00:25, 16.39it/s]
 47%|####6     | 364/781 [00:21<00:25, 16.26it/s]
 47%|####6     | 366/781 [00:21<00:25, 16.14it/s]
 47%|####7     | 368/781 [00:21<00:25, 16.32it/s]
 47%|####7     | 370/781 [00:22<00:25, 16.29it/s]
 48%|####7     | 372/781 [00:22<00:25, 16.24it/s]
 48%|####7     | 374/781 [00:22<00:24, 16.31it/s]
 48%|####8     | 376/781 [00:22<00:24, 16.40it/s]
 48%|####8     | 378/781 [00:22<00:24, 16.20it/s]
 49%|####8     | 380/781 [00:22<00:24, 16.18it/s]
 49%|####8     | 382/781 [00:22<00:25, 15.78it/s]
 49%|####9     | 384/781 [00:22<00:24, 15.91it/s]
 49%|####9     | 386/781 [00:23<00:24, 16.01it/s]
 50%|####9     | 388/781 [00:23<00:24, 16.09it/s]
 50%|####9     | 390/781 [00:23<00:23, 16.50it/s]
 50%|#####     | 392/781 [00:23<00:23, 16.81it/s]
 50%|#####     | 394/781 [00:23<00:23, 16.69it/s]
 51%|#####     | 396/781 [00:23<00:23, 16.56it/s]
 51%|#####     | 398/781 [00:23<00:23, 16.46it/s]
 51%|#####1    | 400/781 [00:23<00:23, 16.42it/s]
 51%|#####1    | 402/781 [00:24<00:22, 16.58it/s]
 52%|#####1    | 404/781 [00:24<00:22, 16.49it/s]
 52%|#####1    | 406/781 [00:24<00:22, 16.63it/s]
 52%|#####2    | 408/781 [00:24<00:22, 16.70it/s]
 52%|#####2    | 410/781 [00:24<00:22, 16.74it/s]
 53%|#####2    | 412/781 [00:24<00:21, 17.02it/s]
 53%|#####3    | 414/781 [00:24<00:21, 16.95it/s]
 53%|#####3    | 416/781 [00:24<00:21, 16.68it/s]
 54%|#####3    | 418/781 [00:25<00:22, 16.46it/s]
 54%|#####3    | 420/781 [00:25<00:21, 16.55it/s]
 54%|#####4    | 422/781 [00:25<00:21, 16.44it/s]
 54%|#####4    | 424/781 [00:25<00:21, 16.27it/s]
 55%|#####4    | 426/781 [00:25<00:21, 16.34it/s]
 55%|#####4    | 428/781 [00:25<00:21, 16.37it/s]
 55%|#####5    | 430/781 [00:25<00:21, 16.26it/s]
 55%|#####5    | 432/781 [00:25<00:21, 16.14it/s]
 56%|#####5    | 434/781 [00:26<00:21, 16.12it/s]
 56%|#####5    | 436/781 [00:26<00:20, 16.55it/s]
 56%|#####6    | 438/781 [00:26<00:20, 16.65it/s]
 56%|#####6    | 440/781 [00:26<00:20, 16.49it/s]
 57%|#####6    | 442/781 [00:26<00:20, 16.60it/s]
 57%|#####6    | 444/781 [00:26<00:20, 16.48it/s]
 57%|#####7    | 446/781 [00:26<00:20, 16.46it/s]
 57%|#####7    | 448/781 [00:26<00:20, 16.40it/s]
 58%|#####7    | 450/781 [00:26<00:20, 16.36it/s]
 58%|#####7    | 452/781 [00:27<00:19, 16.49it/s]
 58%|#####8    | 454/781 [00:27<00:19, 16.43it/s]
 58%|#####8    | 456/781 [00:27<00:19, 16.35it/s]
 59%|#####8    | 458/781 [00:27<00:19, 16.28it/s]
 59%|#####8    | 460/781 [00:27<00:19, 16.25it/s]
 59%|#####9    | 462/781 [00:27<00:19, 16.29it/s]
 59%|#####9    | 464/781 [00:27<00:19, 16.23it/s]
 60%|#####9    | 466/781 [00:27<00:19, 16.15it/s]
 60%|#####9    | 468/781 [00:28<00:19, 16.10it/s]
 60%|######    | 470/781 [00:28<00:19, 16.23it/s]
 60%|######    | 472/781 [00:28<00:18, 16.29it/s]
 61%|######    | 474/781 [00:28<00:19, 16.14it/s]
 61%|######    | 476/781 [00:28<00:18, 16.09it/s]
 61%|######1   | 478/781 [00:28<00:18, 16.14it/s]
 61%|######1   | 480/781 [00:28<00:18, 16.38it/s]
 62%|######1   | 482/781 [00:28<00:18, 16.55it/s]
 62%|######1   | 484/781 [00:29<00:18, 16.46it/s]
 62%|######2   | 486/781 [00:29<00:17, 16.40it/s]
 62%|######2   | 488/781 [00:29<00:17, 16.71it/s]
 63%|######2   | 490/781 [00:29<00:17, 16.76it/s]
 63%|######2   | 492/781 [00:29<00:17, 16.60it/s]
 63%|######3   | 494/781 [00:29<00:17, 16.51it/s]
 64%|######3   | 496/781 [00:29<00:17, 16.47it/s]
 64%|######3   | 498/781 [00:29<00:17, 16.50it/s]
 64%|######4   | 500/781 [00:30<00:16, 16.55it/s]
 64%|######4   | 502/781 [00:30<00:16, 16.45it/s]
 65%|######4   | 504/781 [00:30<00:16, 16.40it/s]
 65%|######4   | 506/781 [00:30<00:16, 16.58it/s]
 65%|######5   | 508/781 [00:30<00:16, 16.49it/s]
 65%|######5   | 510/781 [00:30<00:16, 16.61it/s]
 66%|######5   | 512/781 [00:30<00:16, 16.71it/s]
 66%|######5   | 514/781 [00:30<00:16, 16.43it/s]
 66%|######6   | 516/781 [00:31<00:16, 16.29it/s]
 66%|######6   | 518/781 [00:31<00:16, 16.19it/s]
 67%|######6   | 520/781 [00:31<00:16, 16.19it/s]
 67%|######6   | 522/781 [00:31<00:15, 16.19it/s]
 67%|######7   | 524/781 [00:31<00:15, 16.20it/s]
 67%|######7   | 526/781 [00:31<00:15, 16.21it/s]
 68%|######7   | 528/781 [00:31<00:15, 16.05it/s]
 68%|######7   | 530/781 [00:31<00:15, 16.10it/s]
 68%|######8   | 532/781 [00:32<00:15, 16.14it/s]
 68%|######8   | 534/781 [00:32<00:15, 16.22it/s]
 69%|######8   | 536/781 [00:32<00:15, 16.25it/s]
 69%|######8   | 538/781 [00:32<00:14, 16.25it/s]
 69%|######9   | 540/781 [00:32<00:14, 16.26it/s]
 69%|######9   | 542/781 [00:32<00:14, 16.25it/s]
 70%|######9   | 544/781 [00:32<00:14, 16.07it/s]
 70%|######9   | 546/781 [00:32<00:14, 16.01it/s]
 70%|#######   | 548/781 [00:32<00:14, 15.97it/s]
 70%|#######   | 550/781 [00:33<00:14, 15.94it/s]
 71%|#######   | 552/781 [00:33<00:14, 16.01it/s]
 71%|#######   | 554/781 [00:33<00:14, 16.10it/s]
 71%|#######1  | 556/781 [00:33<00:13, 16.15it/s]
 71%|#######1  | 558/781 [00:33<00:13, 16.19it/s]
 72%|#######1  | 560/781 [00:33<00:13, 16.21it/s]
 72%|#######1  | 562/781 [00:33<00:13, 16.22it/s]
 72%|#######2  | 564/781 [00:33<00:13, 16.22it/s]
 72%|#######2  | 566/781 [00:34<00:13, 16.24it/s]
 73%|#######2  | 568/781 [00:34<00:13, 16.24it/s]
 73%|#######2  | 570/781 [00:34<00:12, 16.27it/s]
 73%|#######3  | 572/781 [00:34<00:12, 16.30it/s]
 73%|#######3  | 574/781 [00:34<00:12, 16.32it/s]
 74%|#######3  | 576/781 [00:34<00:12, 16.28it/s]
 74%|#######4  | 578/781 [00:34<00:12, 16.26it/s]
 74%|#######4  | 580/781 [00:34<00:12, 16.27it/s]
 75%|#######4  | 582/781 [00:35<00:12, 16.29it/s]
 75%|#######4  | 584/781 [00:35<00:12, 16.28it/s]
 75%|#######5  | 586/781 [00:35<00:11, 16.27it/s]
 75%|#######5  | 588/781 [00:35<00:11, 16.29it/s]
 76%|#######5  | 590/781 [00:35<00:11, 16.27it/s]
 76%|#######5  | 592/781 [00:35<00:11, 16.25it/s]
 76%|#######6  | 594/781 [00:35<00:11, 16.23it/s]
 76%|#######6  | 596/781 [00:35<00:11, 16.23it/s]
 77%|#######6  | 598/781 [00:36<00:11, 16.23it/s]
 77%|#######6  | 600/781 [00:36<00:11, 16.29it/s]
 77%|#######7  | 602/781 [00:36<00:10, 16.32it/s]
 77%|#######7  | 604/781 [00:36<00:10, 16.33it/s]
 78%|#######7  | 606/781 [00:36<00:10, 16.34it/s]
 78%|#######7  | 608/781 [00:36<00:10, 16.36it/s]
 78%|#######8  | 610/781 [00:36<00:10, 16.26it/s]
 78%|#######8  | 612/781 [00:36<00:10, 16.15it/s]
 79%|#######8  | 614/781 [00:37<00:10, 16.07it/s]
 79%|#######8  | 616/781 [00:37<00:10, 16.03it/s]
 79%|#######9  | 618/781 [00:37<00:10, 15.99it/s]
 79%|#######9  | 620/781 [00:37<00:10, 15.97it/s]
 80%|#######9  | 622/781 [00:37<00:10, 15.83it/s]
 80%|#######9  | 624/781 [00:37<00:09, 15.91it/s]
 80%|########  | 626/781 [00:37<00:09, 15.91it/s]
 80%|########  | 628/781 [00:37<00:09, 15.90it/s]
 81%|########  | 630/781 [00:38<00:09, 15.95it/s]
 81%|########  | 632/781 [00:38<00:09, 16.21it/s]
 81%|########1 | 634/781 [00:38<00:09, 16.20it/s]
 81%|########1 | 636/781 [00:38<00:08, 16.40it/s]
 82%|########1 | 638/781 [00:38<00:08, 16.37it/s]
 82%|########1 | 640/781 [00:38<00:08, 16.51it/s]
 82%|########2 | 642/781 [00:38<00:08, 16.62it/s]
 82%|########2 | 644/781 [00:38<00:08, 16.91it/s]
 83%|########2 | 646/781 [00:39<00:08, 16.71it/s]
 83%|########2 | 648/781 [00:39<00:07, 16.76it/s]
 83%|########3 | 650/781 [00:39<00:07, 16.81it/s]
 83%|########3 | 652/781 [00:39<00:07, 17.05it/s]
 84%|########3 | 654/781 [00:39<00:07, 16.80it/s]
 84%|########3 | 656/781 [00:39<00:07, 16.84it/s]
 84%|########4 | 658/781 [00:39<00:07, 16.65it/s]
 85%|########4 | 660/781 [00:39<00:07, 16.71it/s]
 85%|########4 | 662/781 [00:39<00:07, 16.54it/s]
 85%|########5 | 664/781 [00:40<00:07, 16.45it/s]
 85%|########5 | 666/781 [00:40<00:06, 16.58it/s]
 86%|########5 | 668/781 [00:40<00:06, 16.47it/s]
 86%|########5 | 670/781 [00:40<00:06, 16.39it/s]
 86%|########6 | 672/781 [00:40<00:06, 16.34it/s]
 86%|########6 | 674/781 [00:40<00:06, 16.31it/s]
 87%|########6 | 676/781 [00:40<00:06, 16.34it/s]
 87%|########6 | 678/781 [00:40<00:06, 16.20it/s]
 87%|########7 | 680/781 [00:41<00:06, 15.92it/s]
 87%|########7 | 682/781 [00:41<00:06, 15.94it/s]
 88%|########7 | 684/781 [00:41<00:06, 16.00it/s]
 88%|########7 | 686/781 [00:41<00:05, 16.03it/s]
 88%|########8 | 688/781 [00:41<00:05, 15.88it/s]
 88%|########8 | 690/781 [00:41<00:05, 15.75it/s]
 89%|########8 | 692/781 [00:41<00:05, 15.78it/s]
 89%|########8 | 694/781 [00:41<00:05, 15.94it/s]
 89%|########9 | 696/781 [00:42<00:05, 16.06it/s]
 89%|########9 | 698/781 [00:42<00:05, 16.09it/s]
 90%|########9 | 700/781 [00:42<00:05, 16.17it/s]
 90%|########9 | 702/781 [00:42<00:04, 16.19it/s]
 90%|######### | 704/781 [00:42<00:04, 16.37it/s]
 90%|######### | 706/781 [00:42<00:04, 16.75it/s]
 91%|######### | 708/781 [00:42<00:04, 16.80it/s]
 91%|######### | 710/781 [00:42<00:04, 16.75it/s]
 91%|#########1| 712/781 [00:43<00:04, 16.60it/s]
 91%|#########1| 714/781 [00:43<00:04, 16.51it/s]
 92%|#########1| 716/781 [00:43<00:03, 16.49it/s]
 92%|#########1| 718/781 [00:43<00:03, 16.41it/s]
 92%|#########2| 720/781 [00:43<00:03, 16.57it/s]
 92%|#########2| 722/781 [00:43<00:03, 16.80it/s]
 93%|#########2| 724/781 [00:43<00:03, 16.94it/s]
 93%|#########2| 726/781 [00:43<00:03, 16.86it/s]
 93%|#########3| 728/781 [00:44<00:03, 16.82it/s]
 93%|#########3| 730/781 [00:44<00:03, 16.78it/s]
 94%|#########3| 732/781 [00:44<00:02, 16.75it/s]
 94%|#########3| 734/781 [00:44<00:02, 16.96it/s]
 94%|#########4| 736/781 [00:44<00:02, 16.91it/s]
 94%|#########4| 738/781 [00:44<00:02, 16.87it/s]
 95%|#########4| 740/781 [00:44<00:02, 16.77it/s]
 95%|#########5| 742/781 [00:44<00:02, 16.64it/s]
 95%|#########5| 744/781 [00:44<00:02, 16.79it/s]
 96%|#########5| 746/781 [00:45<00:02, 17.05it/s]
 96%|#########5| 748/781 [00:45<00:01, 17.21it/s]
 96%|#########6| 750/781 [00:45<00:01, 17.11it/s]
 96%|#########6| 752/781 [00:45<00:01, 17.28it/s]
 97%|#########6| 754/781 [00:45<00:01, 17.14it/s]
 97%|#########6| 756/781 [00:45<00:01, 16.87it/s]
 97%|#########7| 758/781 [00:45<00:01, 17.01it/s]
 97%|#########7| 760/781 [00:45<00:01, 17.29it/s]
 98%|#########7| 762/781 [00:46<00:01, 17.20it/s]
 98%|#########7| 764/781 [00:46<00:00, 17.24it/s]
 98%|#########8| 766/781 [00:46<00:00, 17.46it/s]
 98%|#########8| 768/781 [00:46<00:00, 17.06it/s]
 99%|#########8| 770/781 [00:46<00:00, 16.75it/s]
 99%|#########8| 772/781 [00:46<00:00, 16.66it/s]
 99%|#########9| 774/781 [00:46<00:00, 16.89it/s]
 99%|#########9| 776/781 [00:46<00:00, 16.83it/s]
100%|#########9| 778/781 [00:46<00:00, 17.01it/s]
100%|#########9| 780/781 [00:47<00:00, 17.13it/s]
100%|##########| 781/781 [00:47<00:00, 16.57it/s]




Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   2%|2         | 1/44 [00:01<00:50,  1.16s/it]
Validation Progress:   2%|2         | 1/44 [00:01<00:50,  1.17s/it]
Validation Progress:   2%|2         | 1/44 [00:01<00:50,  1.17s/it]
Validation Progress:   2%|2         | 1/44 [00:01<00:54,  1.27s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:51,  1.22s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:51,  1.22s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:51,  1.22s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:53,  1.27s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:49,  1.21s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:49,  1.21s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:49,  1.21s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:50,  1.23s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:48,  1.21s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:48,  1.21s/it]
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Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.17s/it]
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  3%|2         | 22/781 [00:01<00:39, 19.29it/s]
  3%|3         | 24/781 [00:01<00:39, 19.30it/s]
  3%|3         | 26/781 [00:01<00:39, 19.18it/s]
  4%|3         | 28/781 [00:01<00:39, 19.27it/s]
  4%|3         | 30/781 [00:01<00:38, 19.36it/s]
  4%|4         | 32/781 [00:01<00:38, 19.38it/s]
  4%|4         | 34/781 [00:01<00:38, 19.32it/s]
  5%|4         | 36/781 [00:01<00:38, 19.33it/s]
  5%|4         | 38/781 [00:02<00:38, 19.21it/s]
  5%|5         | 40/781 [00:02<00:38, 19.29it/s]
  5%|5         | 42/781 [00:02<00:38, 19.41it/s]
  6%|5         | 44/781 [00:02<00:37, 19.46it/s]
  6%|5         | 46/781 [00:02<00:37, 19.35it/s]
  6%|6         | 48/781 [00:02<00:38, 19.28it/s]
  6%|6         | 50/781 [00:02<00:38, 19.18it/s]
  7%|6         | 52/781 [00:02<00:38, 19.15it/s]
  7%|6         | 54/781 [00:02<00:37, 19.37it/s]
  7%|7         | 56/781 [00:02<00:37, 19.37it/s]
  7%|7         | 58/781 [00:03<00:37, 19.21it/s]
  8%|7         | 60/781 [00:03<00:37, 19.00it/s]
  8%|7         | 62/781 [00:03<00:37, 19.12it/s]
  8%|8         | 65/781 [00:03<00:37, 19.29it/s]
  9%|8         | 67/781 [00:03<00:36, 19.31it/s]
  9%|8         | 69/781 [00:03<00:36, 19.33it/s]
  9%|9         | 72/781 [00:03<00:36, 19.41it/s]
  9%|9         | 74/781 [00:03<00:36, 19.39it/s]
 10%|9         | 76/781 [00:03<00:36, 19.39it/s]
 10%|9         | 78/781 [00:04<00:36, 19.40it/s]
 10%|#         | 80/781 [00:04<00:36, 19.36it/s]
 10%|#         | 82/781 [00:04<00:36, 19.30it/s]
 11%|#         | 84/781 [00:04<00:36, 19.14it/s]
 11%|#1        | 86/781 [00:04<00:36, 19.18it/s]
 11%|#1        | 88/781 [00:04<00:35, 19.29it/s]
 12%|#1        | 90/781 [00:04<00:35, 19.35it/s]
 12%|#1        | 92/781 [00:04<00:35, 19.36it/s]
 12%|#2        | 94/781 [00:04<00:35, 19.43it/s]
 12%|#2        | 96/781 [00:05<00:35, 19.46it/s]
 13%|#2        | 98/781 [00:05<00:35, 19.45it/s]
 13%|#2        | 100/781 [00:05<00:34, 19.61it/s]
 13%|#3        | 102/781 [00:05<00:35, 19.40it/s]
 13%|#3        | 104/781 [00:05<00:34, 19.43it/s]
 14%|#3        | 106/781 [00:05<00:34, 19.58it/s]
 14%|#3        | 108/781 [00:05<00:34, 19.37it/s]
 14%|#4        | 110/781 [00:05<00:34, 19.54it/s]
 14%|#4        | 112/781 [00:05<00:34, 19.29it/s]
 15%|#4        | 114/781 [00:05<00:34, 19.17it/s]
 15%|#4        | 116/781 [00:06<00:34, 19.12it/s]
 15%|#5        | 118/781 [00:06<00:34, 19.08it/s]
 15%|#5        | 120/781 [00:06<00:34, 19.11it/s]
 16%|#5        | 122/781 [00:06<00:34, 19.04it/s]
 16%|#5        | 124/781 [00:06<00:34, 19.01it/s]
 16%|#6        | 126/781 [00:06<00:34, 18.97it/s]
 16%|#6        | 128/781 [00:06<00:34, 18.95it/s]
 17%|#6        | 130/781 [00:06<00:34, 19.01it/s]
 17%|#6        | 132/781 [00:06<00:33, 19.21it/s]
 17%|#7        | 134/781 [00:06<00:33, 19.10it/s]
 17%|#7        | 136/781 [00:07<00:33, 19.14it/s]
 18%|#7        | 138/781 [00:07<00:33, 19.23it/s]
 18%|#7        | 140/781 [00:07<00:33, 19.07it/s]
 18%|#8        | 142/781 [00:07<00:42, 15.18it/s]
 18%|#8        | 144/781 [00:07<00:39, 16.22it/s]
 19%|#8        | 146/781 [00:07<00:37, 17.05it/s]
 19%|#8        | 148/781 [00:07<00:35, 17.62it/s]
 19%|#9        | 150/781 [00:07<00:34, 18.13it/s]
 19%|#9        | 152/781 [00:08<00:34, 18.42it/s]
 20%|#9        | 154/781 [00:08<00:33, 18.58it/s]
 20%|#9        | 156/781 [00:08<00:33, 18.66it/s]
 20%|##        | 158/781 [00:08<00:32, 18.92it/s]
 20%|##        | 160/781 [00:08<00:33, 18.69it/s]
 21%|##        | 162/781 [00:08<00:33, 18.63it/s]
 21%|##        | 164/781 [00:08<00:33, 18.62it/s]
 21%|##1       | 166/781 [00:08<00:33, 18.63it/s]
 22%|##1       | 168/781 [00:08<00:32, 18.73it/s]
 22%|##1       | 170/781 [00:08<00:32, 18.85it/s]
 22%|##2       | 172/781 [00:09<00:32, 18.95it/s]
 22%|##2       | 174/781 [00:09<00:31, 19.04it/s]
 23%|##2       | 176/781 [00:09<00:31, 19.12it/s]
 23%|##2       | 178/781 [00:09<00:31, 19.30it/s]
 23%|##3       | 180/781 [00:09<00:31, 19.27it/s]
 23%|##3       | 182/781 [00:09<00:31, 19.10it/s]
 24%|##3       | 184/781 [00:09<00:31, 19.14it/s]
 24%|##3       | 186/781 [00:09<00:30, 19.31it/s]
 24%|##4       | 188/781 [00:09<00:31, 19.12it/s]
 24%|##4       | 190/781 [00:10<00:30, 19.29it/s]
 25%|##4       | 192/781 [00:10<00:30, 19.09it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.28it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.22it/s]
 25%|##5       | 198/781 [00:10<00:30, 19.06it/s]
 26%|##5       | 200/781 [00:10<00:30, 19.09it/s]
 26%|##5       | 202/781 [00:10<00:30, 19.12it/s]
 26%|##6       | 204/781 [00:10<00:30, 19.09it/s]
 26%|##6       | 206/781 [00:10<00:29, 19.28it/s]
 27%|##6       | 208/781 [00:10<00:29, 19.25it/s]
 27%|##6       | 210/781 [00:11<00:29, 19.09it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.09it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.13it/s]
 28%|##7       | 216/781 [00:11<00:29, 19.28it/s]
 28%|##7       | 218/781 [00:11<00:29, 19.11it/s]
 28%|##8       | 220/781 [00:11<00:29, 19.15it/s]
 28%|##8       | 222/781 [00:11<00:29, 19.17it/s]
 29%|##8       | 224/781 [00:11<00:29, 19.15it/s]
 29%|##8       | 226/781 [00:11<00:28, 19.15it/s]
 29%|##9       | 228/781 [00:11<00:28, 19.15it/s]
 29%|##9       | 230/781 [00:12<00:28, 19.14it/s]
 30%|##9       | 232/781 [00:12<00:28, 19.22it/s]
 30%|##9       | 234/781 [00:12<00:28, 19.37it/s]
 30%|###       | 236/781 [00:12<00:28, 19.14it/s]
 30%|###       | 238/781 [00:12<00:28, 19.10it/s]
 31%|###       | 240/781 [00:12<00:28, 19.25it/s]
 31%|###       | 242/781 [00:12<00:28, 19.04it/s]
 31%|###1      | 244/781 [00:12<00:28, 18.95it/s]
 31%|###1      | 246/781 [00:12<00:28, 18.85it/s]
 32%|###1      | 248/781 [00:13<00:28, 18.77it/s]
 32%|###2      | 250/781 [00:13<00:28, 18.72it/s]
 32%|###2      | 252/781 [00:13<00:28, 18.71it/s]
 33%|###2      | 254/781 [00:13<00:28, 18.57it/s]
 33%|###2      | 256/781 [00:13<00:28, 18.49it/s]
 33%|###3      | 258/781 [00:13<00:28, 18.53it/s]
 33%|###3      | 260/781 [00:13<00:28, 18.57it/s]
 34%|###3      | 262/781 [00:13<00:27, 18.59it/s]
 34%|###3      | 264/781 [00:13<00:27, 18.76it/s]
 34%|###4      | 266/781 [00:14<00:27, 18.75it/s]
 34%|###4      | 268/781 [00:14<00:27, 18.62it/s]
 35%|###4      | 270/781 [00:14<00:27, 18.66it/s]
 35%|###4      | 272/781 [00:14<00:27, 18.69it/s]
 35%|###5      | 274/781 [00:14<00:27, 18.70it/s]
 35%|###5      | 276/781 [00:14<00:26, 18.78it/s]
 36%|###5      | 278/781 [00:14<00:26, 18.79it/s]
 36%|###5      | 280/781 [00:14<00:26, 18.83it/s]
 36%|###6      | 282/781 [00:14<00:26, 18.87it/s]
 36%|###6      | 284/781 [00:14<00:26, 18.91it/s]
 37%|###6      | 286/781 [00:15<00:26, 18.88it/s]
 37%|###6      | 288/781 [00:15<00:26, 18.89it/s]
 37%|###7      | 290/781 [00:15<00:26, 18.87it/s]
 37%|###7      | 292/781 [00:15<00:25, 18.93it/s]
 38%|###7      | 294/781 [00:15<00:25, 19.07it/s]
 38%|###7      | 296/781 [00:15<00:25, 19.34it/s]
 38%|###8      | 298/781 [00:15<00:25, 19.21it/s]
 38%|###8      | 300/781 [00:15<00:24, 19.30it/s]
 39%|###8      | 302/781 [00:15<00:24, 19.32it/s]
 39%|###8      | 304/781 [00:16<00:24, 19.33it/s]
 39%|###9      | 306/781 [00:16<00:24, 19.49it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.28it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.28it/s]
 40%|###9      | 312/781 [00:16<00:24, 19.30it/s]
 40%|####      | 314/781 [00:16<00:24, 19.43it/s]
 40%|####      | 316/781 [00:16<00:24, 19.18it/s]
 41%|####      | 318/781 [00:16<00:24, 19.00it/s]
 41%|####      | 320/781 [00:16<00:24, 19.08it/s]
 41%|####1     | 322/781 [00:16<00:24, 19.07it/s]
 41%|####1     | 324/781 [00:17<00:23, 19.07it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.11it/s]
 42%|####1     | 328/781 [00:17<00:23, 18.89it/s]
 42%|####2     | 330/781 [00:17<00:23, 18.90it/s]
 43%|####2     | 332/781 [00:17<00:23, 18.85it/s]
 43%|####2     | 334/781 [00:17<00:23, 18.71it/s]
 43%|####3     | 336/781 [00:17<00:23, 19.01it/s]
 43%|####3     | 338/781 [00:17<00:23, 18.88it/s]
 44%|####3     | 340/781 [00:17<00:23, 18.77it/s]
 44%|####3     | 342/781 [00:18<00:23, 18.79it/s]
 44%|####4     | 344/781 [00:18<00:23, 18.77it/s]
 44%|####4     | 346/781 [00:18<00:23, 18.83it/s]
 45%|####4     | 348/781 [00:18<00:22, 18.93it/s]
 45%|####4     | 350/781 [00:18<00:23, 18.74it/s]
 45%|####5     | 352/781 [00:18<00:22, 18.72it/s]
 45%|####5     | 354/781 [00:18<00:22, 18.68it/s]
 46%|####5     | 356/781 [00:18<00:22, 18.61it/s]
 46%|####5     | 358/781 [00:18<00:22, 18.61it/s]
 46%|####6     | 360/781 [00:18<00:22, 18.69it/s]
 46%|####6     | 362/781 [00:19<00:22, 18.75it/s]
 47%|####6     | 364/781 [00:19<00:22, 18.79it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.82it/s]
 47%|####7     | 368/781 [00:19<00:21, 18.84it/s]
 47%|####7     | 370/781 [00:19<00:21, 18.84it/s]
 48%|####7     | 372/781 [00:19<00:21, 18.86it/s]
 48%|####7     | 374/781 [00:19<00:21, 18.87it/s]
 48%|####8     | 376/781 [00:19<00:21, 18.86it/s]
 48%|####8     | 378/781 [00:19<00:21, 19.00it/s]
 49%|####8     | 380/781 [00:20<00:21, 18.99it/s]
 49%|####8     | 382/781 [00:20<00:20, 19.02it/s]
 49%|####9     | 384/781 [00:20<00:20, 19.01it/s]
 49%|####9     | 386/781 [00:20<00:20, 19.00it/s]
 50%|####9     | 388/781 [00:20<00:20, 19.00it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.04it/s]
 50%|#####     | 392/781 [00:20<00:20, 19.01it/s]
 50%|#####     | 394/781 [00:20<00:20, 18.97it/s]
 51%|#####     | 396/781 [00:20<00:20, 18.93it/s]
 51%|#####     | 398/781 [00:20<00:20, 18.96it/s]
 51%|#####1    | 400/781 [00:21<00:20, 18.93it/s]
 51%|#####1    | 402/781 [00:21<00:20, 18.92it/s]
 52%|#####1    | 404/781 [00:21<00:19, 18.93it/s]
 52%|#####1    | 406/781 [00:21<00:19, 18.93it/s]
 52%|#####2    | 408/781 [00:21<00:19, 18.93it/s]
 52%|#####2    | 410/781 [00:21<00:19, 18.94it/s]
 53%|#####2    | 412/781 [00:21<00:19, 18.96it/s]
 53%|#####3    | 414/781 [00:21<00:19, 18.98it/s]
 53%|#####3    | 416/781 [00:21<00:19, 18.97it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.96it/s]
 54%|#####3    | 420/781 [00:22<00:18, 19.02it/s]
 54%|#####4    | 422/781 [00:22<00:18, 19.13it/s]
 54%|#####4    | 424/781 [00:22<00:18, 19.09it/s]
 55%|#####4    | 426/781 [00:22<00:18, 19.07it/s]
 55%|#####4    | 428/781 [00:22<00:18, 19.04it/s]
 55%|#####5    | 430/781 [00:22<00:18, 19.05it/s]
 55%|#####5    | 432/781 [00:22<00:18, 19.04it/s]
 56%|#####5    | 434/781 [00:22<00:18, 19.03it/s]
 56%|#####5    | 436/781 [00:22<00:18, 19.05it/s]
 56%|#####6    | 438/781 [00:23<00:17, 19.08it/s]
 56%|#####6    | 440/781 [00:23<00:17, 19.03it/s]
 57%|#####6    | 442/781 [00:23<00:17, 19.04it/s]
 57%|#####6    | 444/781 [00:23<00:17, 19.04it/s]
 57%|#####7    | 446/781 [00:23<00:17, 19.08it/s]
 57%|#####7    | 448/781 [00:23<00:17, 19.03it/s]
 58%|#####7    | 450/781 [00:23<00:17, 19.02it/s]
 58%|#####7    | 452/781 [00:23<00:17, 19.14it/s]
 58%|#####8    | 454/781 [00:23<00:17, 19.15it/s]
 58%|#####8    | 456/781 [00:24<00:17, 19.09it/s]
 59%|#####8    | 458/781 [00:24<00:16, 19.04it/s]
 59%|#####8    | 460/781 [00:24<00:16, 19.03it/s]
 59%|#####9    | 462/781 [00:24<00:16, 19.06it/s]
 59%|#####9    | 464/781 [00:24<00:16, 19.01it/s]
 60%|#####9    | 466/781 [00:24<00:16, 18.99it/s]
 60%|#####9    | 468/781 [00:24<00:16, 18.96it/s]
 60%|######    | 470/781 [00:24<00:16, 18.93it/s]
 60%|######    | 472/781 [00:24<00:16, 18.93it/s]
 61%|######    | 474/781 [00:24<00:16, 18.94it/s]
 61%|######    | 476/781 [00:25<00:16, 18.93it/s]
 61%|######1   | 478/781 [00:25<00:16, 18.94it/s]
 61%|######1   | 480/781 [00:25<00:15, 18.99it/s]
 62%|######1   | 482/781 [00:25<00:15, 18.99it/s]
 62%|######1   | 484/781 [00:25<00:15, 18.98it/s]
 62%|######2   | 486/781 [00:25<00:15, 19.03it/s]
 62%|######2   | 488/781 [00:25<00:15, 18.99it/s]
 63%|######2   | 490/781 [00:25<00:15, 18.96it/s]
 63%|######2   | 492/781 [00:25<00:15, 18.97it/s]
 63%|######3   | 494/781 [00:26<00:15, 19.01it/s]
 64%|######3   | 496/781 [00:26<00:14, 19.00it/s]
 64%|######3   | 498/781 [00:26<00:14, 19.00it/s]
 64%|######4   | 500/781 [00:26<00:14, 18.99it/s]
 64%|######4   | 502/781 [00:26<00:14, 18.83it/s]
 65%|######4   | 504/781 [00:26<00:14, 18.76it/s]
 65%|######4   | 506/781 [00:26<00:14, 18.79it/s]
 65%|######5   | 508/781 [00:26<00:14, 18.92it/s]
 65%|######5   | 510/781 [00:26<00:14, 18.98it/s]
 66%|######5   | 512/781 [00:26<00:14, 19.04it/s]
 66%|######5   | 514/781 [00:27<00:14, 19.00it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.74it/s]
 66%|######6   | 518/781 [00:27<00:14, 18.72it/s]
 67%|######6   | 520/781 [00:27<00:13, 18.72it/s]
 67%|######6   | 522/781 [00:27<00:13, 18.70it/s]
 67%|######7   | 524/781 [00:27<00:13, 18.83it/s]
 67%|######7   | 526/781 [00:27<00:13, 18.92it/s]
 68%|######7   | 528/781 [00:27<00:13, 18.85it/s]
 68%|######7   | 530/781 [00:27<00:13, 18.81it/s]
 68%|######8   | 532/781 [00:28<00:13, 18.86it/s]
 68%|######8   | 534/781 [00:28<00:13, 18.84it/s]
 69%|######8   | 536/781 [00:28<00:13, 18.84it/s]
 69%|######8   | 538/781 [00:28<00:12, 18.82it/s]
 69%|######9   | 540/781 [00:28<00:12, 18.94it/s]
 69%|######9   | 542/781 [00:28<00:12, 18.64it/s]
 70%|######9   | 544/781 [00:28<00:12, 18.78it/s]
 70%|######9   | 546/781 [00:28<00:12, 18.87it/s]
 70%|#######   | 548/781 [00:28<00:12, 19.08it/s]
 70%|#######   | 550/781 [00:28<00:12, 18.97it/s]
 71%|#######   | 552/781 [00:29<00:12, 19.03it/s]
 71%|#######   | 554/781 [00:29<00:11, 19.07it/s]
 71%|#######1  | 556/781 [00:29<00:11, 19.10it/s]
 71%|#######1  | 558/781 [00:29<00:11, 19.11it/s]
 72%|#######1  | 560/781 [00:29<00:11, 19.16it/s]
 72%|#######1  | 562/781 [00:29<00:11, 19.32it/s]
 72%|#######2  | 564/781 [00:29<00:11, 19.14it/s]
 72%|#######2  | 566/781 [00:29<00:11, 19.13it/s]
 73%|#######2  | 568/781 [00:29<00:11, 19.14it/s]
 73%|#######2  | 570/781 [00:30<00:10, 19.31it/s]
 73%|#######3  | 572/781 [00:30<00:10, 19.11it/s]
 73%|#######3  | 574/781 [00:30<00:10, 19.31it/s]
 74%|#######3  | 576/781 [00:30<00:10, 18.98it/s]
 74%|#######4  | 578/781 [00:30<00:10, 18.96it/s]
 74%|#######4  | 580/781 [00:30<00:10, 19.01it/s]
 75%|#######4  | 582/781 [00:30<00:10, 19.06it/s]
 75%|#######4  | 584/781 [00:30<00:10, 19.09it/s]
 75%|#######5  | 586/781 [00:30<00:10, 19.04it/s]
 75%|#######5  | 588/781 [00:30<00:10, 18.95it/s]
 76%|#######5  | 590/781 [00:31<00:10, 18.98it/s]
 76%|#######5  | 592/781 [00:31<00:10, 18.73it/s]
 76%|#######6  | 594/781 [00:31<00:09, 18.85it/s]
 76%|#######6  | 596/781 [00:31<00:09, 18.77it/s]
 77%|#######6  | 598/781 [00:31<00:09, 18.72it/s]
 77%|#######6  | 600/781 [00:31<00:09, 18.68it/s]
 77%|#######7  | 602/781 [00:31<00:09, 18.69it/s]
 77%|#######7  | 604/781 [00:31<00:09, 18.52it/s]
 78%|#######7  | 606/781 [00:31<00:09, 18.72it/s]
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Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.40s/it]
Validation Progress:  95%|#########5| 42/44 [00:55<00:02,  1.40s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.41s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.41s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.41s/it]
Validation Progress:  98%|#########7| 43/44 [00:56<00:01,  1.41s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.17s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.17s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.17s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.17s/it]
Validation Progress: 100%|##########| 44/44 [00:57<00:00,  1.30s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:06<00:00,  6.14s/it]
100%|##########| 1/1 [00:06<00:00,  6.14s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:11, 13.85it/s]
  3%|2         | 4/157 [00:00<00:10, 13.95it/s]
  4%|3         | 6/157 [00:00<00:10, 14.75it/s]
  5%|5         | 8/157 [00:00<00:09, 15.63it/s]
  6%|6         | 10/157 [00:00<00:09, 16.29it/s]
  8%|7         | 12/157 [00:00<00:08, 16.48it/s]
  9%|8         | 14/157 [00:00<00:08, 16.83it/s]
 10%|#         | 16/157 [00:00<00:08, 16.94it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.88it/s]
 13%|#2        | 20/157 [00:01<00:08, 17.11it/s]
 14%|#4        | 22/157 [00:01<00:07, 17.05it/s]
 15%|#5        | 24/157 [00:01<00:07, 17.11it/s]
 17%|#6        | 26/157 [00:01<00:07, 17.18it/s]
 18%|#7        | 28/157 [00:01<00:07, 17.16it/s]
 19%|#9        | 30/157 [00:01<00:07, 17.04it/s]
 20%|##        | 32/157 [00:01<00:07, 16.97it/s]
 22%|##1       | 34/157 [00:02<00:07, 16.89it/s]
 23%|##2       | 36/157 [00:02<00:07, 17.02it/s]
 24%|##4       | 38/157 [00:02<00:06, 17.10it/s]
 25%|##5       | 40/157 [00:02<00:06, 17.16it/s]
 27%|##6       | 42/157 [00:02<00:06, 17.20it/s]
 28%|##8       | 44/157 [00:02<00:06, 17.21it/s]
 29%|##9       | 46/157 [00:02<00:06, 17.23it/s]
 31%|###       | 48/157 [00:02<00:06, 17.21it/s]
 32%|###1      | 50/157 [00:02<00:06, 17.19it/s]
 33%|###3      | 52/157 [00:03<00:06, 17.21it/s]
 34%|###4      | 54/157 [00:03<00:05, 17.25it/s]
 36%|###5      | 56/157 [00:03<00:05, 17.28it/s]
 37%|###6      | 58/157 [00:03<00:05, 17.32it/s]
 38%|###8      | 60/157 [00:03<00:05, 17.35it/s]
 39%|###9      | 62/157 [00:03<00:05, 17.35it/s]
 41%|####      | 64/157 [00:03<00:05, 17.35it/s]
 42%|####2     | 66/157 [00:03<00:05, 17.34it/s]
 43%|####3     | 68/157 [00:04<00:05, 17.36it/s]
 45%|####4     | 70/157 [00:04<00:05, 17.36it/s]
 46%|####5     | 72/157 [00:04<00:04, 17.26it/s]
 47%|####7     | 74/157 [00:04<00:04, 17.17it/s]
 48%|####8     | 76/157 [00:04<00:04, 17.07it/s]
 50%|####9     | 78/157 [00:04<00:04, 17.13it/s]
 51%|#####     | 80/157 [00:04<00:04, 17.21it/s]
 52%|#####2    | 82/157 [00:04<00:04, 17.29it/s]
 54%|#####3    | 84/157 [00:04<00:04, 17.36it/s]
 55%|#####4    | 86/157 [00:05<00:04, 17.38it/s]
 56%|#####6    | 88/157 [00:05<00:03, 17.43it/s]
 57%|#####7    | 90/157 [00:05<00:03, 17.44it/s]
 59%|#####8    | 92/157 [00:05<00:03, 17.34it/s]
 60%|#####9    | 94/157 [00:05<00:03, 17.30it/s]
 61%|######1   | 96/157 [00:05<00:03, 17.34it/s]
 62%|######2   | 98/157 [00:05<00:03, 17.34it/s]
 64%|######3   | 100/157 [00:05<00:03, 17.31it/s]
 65%|######4   | 102/157 [00:05<00:03, 17.32it/s]
 66%|######6   | 104/157 [00:06<00:03, 17.37it/s]
 68%|######7   | 106/157 [00:06<00:02, 17.40it/s]
 69%|######8   | 108/157 [00:06<00:02, 17.44it/s]
 70%|#######   | 110/157 [00:06<00:02, 17.43it/s]
 71%|#######1  | 112/157 [00:06<00:02, 17.43it/s]
 73%|#######2  | 114/157 [00:06<00:02, 17.37it/s]
 74%|#######3  | 116/157 [00:06<00:02, 17.35it/s]
 75%|#######5  | 118/157 [00:06<00:02, 17.36it/s]
 76%|#######6  | 120/157 [00:07<00:02, 17.36it/s]
 78%|#######7  | 122/157 [00:07<00:02, 17.40it/s]
 79%|#######8  | 124/157 [00:07<00:01, 17.42it/s]
 80%|########  | 126/157 [00:07<00:01, 17.45it/s]
 82%|########1 | 128/157 [00:07<00:01, 17.44it/s]
 83%|########2 | 130/157 [00:07<00:01, 17.44it/s]
 84%|########4 | 132/157 [00:07<00:01, 17.44it/s]
 85%|########5 | 134/157 [00:07<00:01, 17.44it/s]
 87%|########6 | 136/157 [00:07<00:01, 17.41it/s]
 88%|########7 | 138/157 [00:08<00:01, 17.24it/s]
 89%|########9 | 140/157 [00:08<00:00, 17.17it/s]
 90%|######### | 142/157 [00:08<00:00, 17.12it/s]
 92%|#########1| 144/157 [00:08<00:00, 17.20it/s]
 93%|#########2| 146/157 [00:08<00:00, 17.20it/s]
 94%|#########4| 148/157 [00:08<00:00, 17.27it/s]
 96%|#########5| 150/157 [00:08<00:00, 17.31it/s]
 97%|#########6| 152/157 [00:08<00:00, 17.28it/s]
 98%|#########8| 154/157 [00:08<00:00, 17.32it/s]
 99%|#########9| 156/157 [00:09<00:00, 17.32it/s]
100%|##########| 157/157 [00:09<00:00, 17.22it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:45, 17.13it/s]
  1%|          | 4/781 [00:00<00:44, 17.47it/s]
  1%|          | 6/781 [00:00<00:44, 17.58it/s]
  1%|1         | 8/781 [00:00<00:42, 18.27it/s]
  1%|1         | 10/781 [00:00<00:41, 18.63it/s]
  2%|1         | 12/781 [00:00<00:40, 18.77it/s]
  2%|1         | 14/781 [00:00<00:40, 18.90it/s]
  2%|2         | 16/781 [00:00<00:39, 19.13it/s]
  2%|2         | 18/781 [00:00<00:39, 19.31it/s]
  3%|2         | 20/781 [00:01<00:39, 19.45it/s]
  3%|2         | 22/781 [00:01<00:38, 19.47it/s]
  3%|3         | 24/781 [00:01<00:38, 19.49it/s]
  3%|3         | 26/781 [00:01<00:38, 19.50it/s]
  4%|3         | 28/781 [00:01<00:38, 19.52it/s]
  4%|3         | 30/781 [00:01<00:38, 19.52it/s]
  4%|4         | 32/781 [00:01<00:38, 19.53it/s]
  4%|4         | 34/781 [00:01<00:38, 19.50it/s]
  5%|4         | 36/781 [00:01<00:38, 19.51it/s]
  5%|4         | 38/781 [00:01<00:38, 19.49it/s]
  5%|5         | 40/781 [00:02<00:38, 19.50it/s]
  5%|5         | 42/781 [00:02<00:37, 19.52it/s]
  6%|5         | 44/781 [00:02<00:37, 19.52it/s]
  6%|5         | 46/781 [00:02<00:37, 19.52it/s]
  6%|6         | 48/781 [00:02<00:37, 19.52it/s]
  6%|6         | 50/781 [00:02<00:37, 19.53it/s]
  7%|6         | 52/781 [00:02<00:37, 19.52it/s]
  7%|6         | 54/781 [00:02<00:37, 19.58it/s]
  7%|7         | 56/781 [00:02<00:36, 19.65it/s]
  7%|7         | 58/781 [00:03<00:36, 19.67it/s]
  8%|7         | 60/781 [00:03<00:36, 19.69it/s]
  8%|7         | 62/781 [00:03<00:36, 19.65it/s]
  8%|8         | 64/781 [00:03<00:36, 19.61it/s]
  8%|8         | 66/781 [00:03<00:36, 19.62it/s]
  9%|8         | 68/781 [00:03<00:36, 19.61it/s]
  9%|8         | 70/781 [00:03<00:36, 19.65it/s]
  9%|9         | 73/781 [00:03<00:35, 19.79it/s]
 10%|9         | 75/781 [00:03<00:35, 19.74it/s]
 10%|9         | 77/781 [00:03<00:35, 19.72it/s]
 10%|#         | 79/781 [00:04<00:35, 19.68it/s]
 10%|#         | 81/781 [00:04<00:35, 19.65it/s]
 11%|#         | 83/781 [00:04<00:35, 19.62it/s]
 11%|#         | 85/781 [00:04<00:35, 19.60it/s]
 11%|#1        | 87/781 [00:04<00:35, 19.47it/s]
 11%|#1        | 89/781 [00:04<00:35, 19.41it/s]
 12%|#1        | 91/781 [00:04<00:35, 19.45it/s]
 12%|#1        | 93/781 [00:04<00:35, 19.49it/s]
 12%|#2        | 95/781 [00:04<00:35, 19.52it/s]
 12%|#2        | 97/781 [00:04<00:34, 19.59it/s]
 13%|#2        | 99/781 [00:05<00:34, 19.62it/s]
 13%|#2        | 101/781 [00:05<00:34, 19.60it/s]
 13%|#3        | 103/781 [00:05<00:34, 19.62it/s]
 13%|#3        | 105/781 [00:05<00:34, 19.62it/s]
 14%|#3        | 107/781 [00:05<00:34, 19.62it/s]
 14%|#3        | 109/781 [00:05<00:34, 19.59it/s]
 14%|#4        | 111/781 [00:05<00:34, 19.62it/s]
 14%|#4        | 113/781 [00:05<00:34, 19.64it/s]
 15%|#4        | 115/781 [00:05<00:33, 19.65it/s]
 15%|#4        | 117/781 [00:06<00:33, 19.63it/s]
 15%|#5        | 119/781 [00:06<00:33, 19.64it/s]
 15%|#5        | 121/781 [00:06<00:33, 19.62it/s]
 16%|#5        | 123/781 [00:06<00:33, 19.61it/s]
 16%|#6        | 125/781 [00:06<00:33, 19.58it/s]
 16%|#6        | 127/781 [00:06<00:33, 19.59it/s]
 17%|#6        | 129/781 [00:06<00:33, 19.57it/s]
 17%|#6        | 131/781 [00:06<00:33, 19.57it/s]
 17%|#7        | 133/781 [00:06<00:33, 19.57it/s]
 17%|#7        | 135/781 [00:06<00:33, 19.50it/s]
 18%|#7        | 137/781 [00:07<00:33, 19.37it/s]
 18%|#7        | 139/781 [00:07<00:33, 19.29it/s]
 18%|#8        | 141/781 [00:07<00:33, 19.37it/s]
 18%|#8        | 143/781 [00:07<00:32, 19.48it/s]
 19%|#8        | 145/781 [00:07<00:32, 19.51it/s]
 19%|#8        | 147/781 [00:07<00:32, 19.54it/s]
 19%|#9        | 149/781 [00:07<00:32, 19.56it/s]
 19%|#9        | 151/781 [00:07<00:32, 19.62it/s]
 20%|#9        | 153/781 [00:07<00:32, 19.60it/s]
 20%|#9        | 155/781 [00:07<00:31, 19.60it/s]
 20%|##        | 157/781 [00:08<00:31, 19.62it/s]
 20%|##        | 159/781 [00:08<00:31, 19.63it/s]
 21%|##        | 161/781 [00:08<00:31, 19.62it/s]
 21%|##        | 163/781 [00:08<00:31, 19.62it/s]
 21%|##1       | 165/781 [00:08<00:31, 19.60it/s]
 21%|##1       | 167/781 [00:08<00:31, 19.57it/s]
 22%|##1       | 169/781 [00:08<00:31, 19.54it/s]
 22%|##1       | 171/781 [00:08<00:31, 19.52it/s]
 22%|##2       | 173/781 [00:08<00:31, 19.33it/s]
 22%|##2       | 175/781 [00:08<00:31, 19.33it/s]
 23%|##2       | 177/781 [00:09<00:31, 19.34it/s]
 23%|##2       | 179/781 [00:09<00:31, 19.37it/s]
 23%|##3       | 181/781 [00:09<00:30, 19.37it/s]
 23%|##3       | 183/781 [00:09<00:31, 19.20it/s]
 24%|##3       | 185/781 [00:09<00:30, 19.26it/s]
 24%|##3       | 187/781 [00:09<00:30, 19.33it/s]
 24%|##4       | 189/781 [00:09<00:30, 19.29it/s]
 24%|##4       | 191/781 [00:09<00:30, 19.35it/s]
 25%|##4       | 193/781 [00:09<00:30, 19.39it/s]
 25%|##4       | 195/781 [00:10<00:30, 19.28it/s]
 25%|##5       | 197/781 [00:10<00:30, 19.23it/s]
 25%|##5       | 199/781 [00:10<00:30, 19.35it/s]
 26%|##5       | 201/781 [00:10<00:29, 19.45it/s]
 26%|##5       | 203/781 [00:10<00:29, 19.54it/s]
 26%|##6       | 205/781 [00:10<00:29, 19.64it/s]
 27%|##6       | 207/781 [00:10<00:29, 19.72it/s]
 27%|##6       | 209/781 [00:10<00:29, 19.67it/s]
 27%|##7       | 211/781 [00:10<00:29, 19.55it/s]
 27%|##7       | 213/781 [00:10<00:29, 19.56it/s]
 28%|##7       | 215/781 [00:11<00:28, 19.57it/s]
 28%|##7       | 217/781 [00:11<00:28, 19.52it/s]
 28%|##8       | 219/781 [00:11<00:28, 19.48it/s]
 28%|##8       | 221/781 [00:11<00:28, 19.48it/s]
 29%|##8       | 223/781 [00:11<00:28, 19.47it/s]
 29%|##8       | 225/781 [00:11<00:28, 19.47it/s]
 29%|##9       | 227/781 [00:11<00:29, 19.10it/s]
 29%|##9       | 229/781 [00:11<00:28, 19.18it/s]
 30%|##9       | 231/781 [00:11<00:28, 19.19it/s]
 30%|##9       | 233/781 [00:11<00:28, 19.28it/s]
 30%|###       | 235/781 [00:12<00:28, 19.36it/s]
 30%|###       | 237/781 [00:12<00:28, 19.43it/s]
 31%|###       | 239/781 [00:12<00:27, 19.44it/s]
 31%|###       | 241/781 [00:12<00:27, 19.32it/s]
 31%|###1      | 243/781 [00:12<00:27, 19.36it/s]
 31%|###1      | 245/781 [00:12<00:27, 19.37it/s]
 32%|###1      | 247/781 [00:12<00:27, 19.41it/s]
 32%|###1      | 249/781 [00:12<00:27, 19.41it/s]
 32%|###2      | 251/781 [00:12<00:27, 19.29it/s]
 32%|###2      | 253/781 [00:13<00:27, 19.18it/s]
 33%|###2      | 255/781 [00:13<00:27, 19.28it/s]
 33%|###2      | 257/781 [00:13<00:27, 19.33it/s]
 33%|###3      | 259/781 [00:13<00:26, 19.39it/s]
 33%|###3      | 261/781 [00:13<00:26, 19.40it/s]
 34%|###3      | 263/781 [00:13<00:26, 19.41it/s]
 34%|###3      | 265/781 [00:13<00:26, 19.29it/s]
 34%|###4      | 267/781 [00:13<00:26, 19.14it/s]
 34%|###4      | 269/781 [00:13<00:26, 19.08it/s]
 35%|###4      | 271/781 [00:13<00:26, 19.02it/s]
 35%|###4      | 273/781 [00:14<00:26, 19.03it/s]
 35%|###5      | 275/781 [00:14<00:26, 19.09it/s]
 35%|###5      | 277/781 [00:14<00:26, 19.24it/s]
 36%|###5      | 279/781 [00:14<00:25, 19.35it/s]
 36%|###5      | 281/781 [00:14<00:25, 19.35it/s]
 36%|###6      | 283/781 [00:14<00:25, 19.27it/s]
 36%|###6      | 285/781 [00:14<00:25, 19.12it/s]
 37%|###6      | 287/781 [00:14<00:25, 19.14it/s]
 37%|###7      | 289/781 [00:14<00:25, 19.13it/s]
 37%|###7      | 291/781 [00:14<00:25, 19.11it/s]
 38%|###7      | 293/781 [00:15<00:25, 19.12it/s]
 38%|###7      | 295/781 [00:15<00:25, 19.21it/s]
 38%|###8      | 297/781 [00:15<00:25, 19.12it/s]
 38%|###8      | 299/781 [00:15<00:25, 19.15it/s]
 39%|###8      | 301/781 [00:15<00:25, 19.16it/s]
 39%|###8      | 303/781 [00:15<00:24, 19.31it/s]
 39%|###9      | 305/781 [00:15<00:24, 19.39it/s]
 39%|###9      | 307/781 [00:15<00:24, 19.45it/s]
 40%|###9      | 309/781 [00:15<00:24, 19.48it/s]
 40%|###9      | 311/781 [00:16<00:24, 19.52it/s]
 40%|####      | 313/781 [00:16<00:23, 19.54it/s]
 40%|####      | 315/781 [00:16<00:23, 19.50it/s]
 41%|####      | 317/781 [00:16<00:23, 19.45it/s]
 41%|####      | 319/781 [00:16<00:23, 19.46it/s]
 41%|####1     | 321/781 [00:16<00:23, 19.51it/s]
 41%|####1     | 323/781 [00:16<00:23, 19.46it/s]
 42%|####1     | 325/781 [00:16<00:23, 19.44it/s]
 42%|####1     | 327/781 [00:16<00:23, 19.46it/s]
 42%|####2     | 329/781 [00:16<00:23, 19.52it/s]
 42%|####2     | 331/781 [00:17<00:23, 19.53it/s]
 43%|####2     | 333/781 [00:17<00:22, 19.55it/s]
 43%|####2     | 335/781 [00:17<00:22, 19.55it/s]
 43%|####3     | 337/781 [00:17<00:22, 19.59it/s]
 43%|####3     | 339/781 [00:17<00:22, 19.54it/s]
 44%|####3     | 341/781 [00:17<00:22, 19.57it/s]
 44%|####3     | 343/781 [00:17<00:22, 19.59it/s]
 44%|####4     | 345/781 [00:17<00:22, 19.58it/s]
 44%|####4     | 347/781 [00:17<00:22, 19.60it/s]
 45%|####4     | 349/781 [00:17<00:22, 19.52it/s]
 45%|####4     | 351/781 [00:18<00:21, 19.56it/s]
 45%|####5     | 353/781 [00:18<00:21, 19.59it/s]
 45%|####5     | 355/781 [00:18<00:21, 19.56it/s]
 46%|####5     | 357/781 [00:18<00:21, 19.51it/s]
 46%|####5     | 359/781 [00:18<00:21, 19.51it/s]
 46%|####6     | 361/781 [00:18<00:21, 19.53it/s]
 46%|####6     | 363/781 [00:18<00:21, 19.58it/s]
 47%|####6     | 365/781 [00:18<00:21, 19.30it/s]
 47%|####6     | 367/781 [00:18<00:21, 19.20it/s]
 47%|####7     | 369/781 [00:18<00:21, 19.25it/s]
 48%|####7     | 371/781 [00:19<00:21, 19.27it/s]
 48%|####7     | 373/781 [00:19<00:21, 19.22it/s]
 48%|####8     | 375/781 [00:19<00:21, 19.12it/s]
 48%|####8     | 377/781 [00:19<00:21, 19.13it/s]
 49%|####8     | 379/781 [00:19<00:21, 19.13it/s]
 49%|####8     | 381/781 [00:19<00:21, 19.05it/s]
 49%|####9     | 383/781 [00:19<00:20, 18.96it/s]
 49%|####9     | 385/781 [00:19<00:20, 19.08it/s]
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=======================================================   RESTART [11-27 06:03:39]   =======================================================







=======================================================   RESTART [11-27 06:03:39]   =======================================================







=======================================================   RESTART [11-27 06:03:39]   =======================================================







=======================================================   RESTART [11-27 06:03:39]   =======================================================
/home/user/VAR/utils/misc.py:354: 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.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: 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.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: 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.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: 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.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/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-20241126_140543-mha3hdeo
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run devoted-snow-567
wandb:  View project at https://wandb.ai/kaiqiu/VAR
wandb:  View run at https://wandb.ai/kaiqiu/VAR/runs/mha3hdeo
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x28, 28x1280)
  triton_mm_7 0.0293 ms 100.0%
  triton_mm_9 0.0299 ms 98.1%
  triton_mm_4 0.0307 ms 95.5%
  triton_mm_6 0.0308 ms 95.1%
  triton_mm_8 0.0309 ms 94.9%
  triton_mm_11 0.0310 ms 94.5%
  triton_mm_12 0.0314 ms 93.4%
  triton_mm_15 0.0322 ms 91.1%
  triton_mm_3 0.0334 ms 88.0%
  triton_mm_14 0.0338 ms 86.8%
SingleProcess AUTOTUNE benchmarking takes 2.1431 seconds and 0.0057 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_33 0.0275 ms 100.0%
  triton_mm_29 0.0276 ms 99.5%
  triton_mm_24 0.0285 ms 96.2%
  triton_mm_28 0.0285 ms 96.2%
  triton_mm_18 0.0292 ms 94.2%
  triton_mm_25 0.0306 ms 89.7%
  bias_addmm 0.0310 ms 88.5%
  triton_mm_21 0.0315 ms 87.2%
  triton_mm_20 0.0339 ms 81.0%
  triton_mm_19 0.0343 ms 80.0%
SingleProcess AUTOTUNE benchmarking takes 2.1725 seconds and 0.0009 seconds precompiling
AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840)
  triton_mm_51 0.2982 ms 100.0%
  triton_mm_50 0.2984 ms 99.9%
  triton_mm_52 0.3332 ms 89.5%
  bias_addmm 0.3375 ms 88.4%
  triton_mm_45 0.3491 ms 85.4%
  triton_mm_43 0.3692 ms 80.8%
  triton_mm_47 0.3718 ms 80.2%
  triton_mm_44 0.4120 ms 72.4%
  triton_mm_48 0.4231 ms 70.5%
  addmm 0.4287 ms 69.6%
SingleProcess AUTOTUNE benchmarking takes 2.6689 seconds and 0.0465 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280)
  triton_mm_70 0.1033 ms 100.0%
  triton_mm_69 0.1074 ms 96.2%
  triton_mm_71 0.1148 ms 89.9%
  bias_addmm 0.1191 ms 86.7%
  triton_mm_64 0.1245 ms 83.0%
  addmm 0.1284 ms 80.4%
  triton_mm_66 0.1297 ms 79.6%
  triton_mm_62 0.1299 ms 79.5%
  triton_mm_63 0.1445 ms 71.5%
  triton_mm_67 0.1473 ms 70.1%
SingleProcess AUTOTUNE benchmarking takes 2.5358 seconds and 0.0009 seconds precompiling
AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120)
  triton_mm_89 0.3996 ms 100.0%
  triton_mm_88 0.4053 ms 98.6%
  triton_mm_90 0.4499 ms 88.8%
  triton_mm_83 0.4679 ms 85.4%
  triton_mm_81 0.4972 ms 80.4%
  triton_mm_85 0.5044 ms 79.2%
  addmm 0.5165 ms 77.4%
  triton_mm_82 0.5531 ms 72.2%
  triton_mm_84 0.5645 ms 70.8%
  triton_mm_86 0.5703 ms 70.1%
SingleProcess AUTOTUNE benchmarking takes 2.6837 seconds and 1.2913 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_108 0.3676 ms 100.0%
  triton_mm_107 0.3880 ms 94.7%
  triton_mm_109 0.3918 ms 93.8%
  addmm 0.3942 ms 93.2%
  bias_addmm 0.4396 ms 83.6%
  triton_mm_102 0.4609 ms 79.8%
  triton_mm_103 0.4812 ms 76.4%
  triton_mm_100 0.4842 ms 75.9%
  triton_mm_104 0.4848 ms 75.8%
  triton_mm_105 0.5398 ms 68.1%
SingleProcess AUTOTUNE benchmarking takes 2.6807 seconds and 0.7159 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_126 0.0263 ms 100.0%
  triton_mm_122 0.0282 ms 93.1%
  triton_mm_121 0.0285 ms 92.0%
  triton_mm_111 0.0290 ms 90.6%
  bias_addmm 0.0297 ms 88.4%
  triton_mm_117 0.0298 ms 88.3%
  triton_mm_118 0.0306 ms 85.9%
  triton_mm_114 0.0316 ms 83.3%
  triton_mm_113 0.0325 ms 80.7%
  triton_mm_112 0.0330 ms 79.6%
SingleProcess AUTOTUNE benchmarking takes 2.1982 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_201 0.3682 ms 100.0%
  triton_mm_200 0.3873 ms 95.1%
  triton_mm_202 0.3919 ms 94.0%
  addmm 0.4281 ms 86.0%
  bias_addmm 0.4385 ms 84.0%
  triton_mm_195 0.4634 ms 79.5%
  triton_mm_196 0.4823 ms 76.3%
  triton_mm_193 0.4848 ms 75.9%
  triton_mm_197 0.4858 ms 75.8%
  triton_mm_198 0.5388 ms 68.3%
SingleProcess AUTOTUNE benchmarking takes 2.6668 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_219 0.0274 ms 100.0%
  triton_mm_215 0.0276 ms 99.3%
  triton_mm_204 0.0278 ms 98.5%
  triton_mm_210 0.0285 ms 96.2%
  triton_mm_214 0.0297 ms 92.3%
  triton_mm_211 0.0306 ms 89.5%
  triton_mm_207 0.0310 ms 88.3%
  triton_mm_206 0.0326 ms 84.1%
  bias_addmm 0.0326 ms 83.9%
  triton_mm_205 0.0330 ms 82.9%
SingleProcess AUTOTUNE benchmarking takes 2.1848 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1280, 1280x2560)
  triton_mm_1881 0.0142 ms 100.0%
  triton_mm_1889 0.0157 ms 90.6%
  triton_mm_1885 0.0157 ms 90.5%
  triton_mm_1893 0.0185 ms 76.9%
  triton_mm_1880 0.0198 ms 72.0%
  triton_mm_1878 0.0199 ms 71.4%
  triton_mm_1884 0.0201 ms 70.9%
  triton_mm_1879 0.0206 ms 69.0%
  triton_mm_1891 0.0219 ms 65.0%
  triton_mm_1888 0.0219 ms 64.9%
SingleProcess AUTOTUNE benchmarking takes 7.5224 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768)
  bias_addmm 2.5927 ms 100.0%
  triton_mm_1911 2.6089 ms 99.4%
  triton_mm_1910 2.6366 ms 98.3%
  triton_mm_1912 2.9093 ms 89.1%
  triton_mm_1905 3.1246 ms 83.0%
  triton_mm_1907 3.2726 ms 79.2%
  addmm 3.3052 ms 78.4%
  triton_mm_1903 3.3602 ms 77.2%
  triton_mm_1908 3.6762 ms 70.5%
  triton_mm_1904 3.6870 ms 70.3%
SingleProcess AUTOTUNE benchmarking takes 14.7448 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(32768x6864, 6864x1280)
  triton_mm_1948 2.3217 ms 100.0%
  triton_mm_1949 2.4182 ms 96.0%
  mm 2.4247 ms 95.8%
  triton_mm_1950 2.5374 ms 91.5%
  triton_mm_1943 3.0095 ms 77.1%
  triton_mm_1941 3.0255 ms 76.7%
  triton_mm_1945 3.1265 ms 74.3%
  triton_mm_1944 3.1638 ms 73.4%
  triton_mm_1946 3.2991 ms 70.4%
  triton_mm_1942 3.3111 ms 70.1%
SingleProcess AUTOTUNE benchmarking takes 10.1859 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3593 ms 100.0%
  triton_mm_2020 0.3822 ms 94.0%
  triton_mm_2021 0.3908 ms 91.9%
  triton_mm_2022 0.4029 ms 89.2%
  triton_mm_2015 0.4809 ms 74.7%
  triton_mm_2017 0.4837 ms 74.3%
  triton_mm_2013 0.4880 ms 73.6%
  triton_mm_2016 0.5144 ms 69.8%
  triton_mm_2018 0.5249 ms 68.4%
  triton_mm_2014 0.5397 ms 66.6%
SingleProcess AUTOTUNE benchmarking takes 2.5650 seconds and 0.0009 seconds precompiling
AUTOTUNE mm(2560x24, 24x1280)
  triton_mm_1974 0.0125 ms 100.0%
  triton_mm_1977 0.0125 ms 100.0%
  triton_mm_1979 0.0125 ms 100.0%
  triton_mm_1973 0.0127 ms 98.2%
  triton_mm_1978 0.0129 ms 96.5%
  triton_mm_1982 0.0132 ms 94.4%
  triton_mm_1984 0.0132 ms 94.2%
  triton_mm_1972 0.0135 ms 92.6%
  triton_mm_1975 0.0137 ms 91.1%
  triton_mm_1976 0.0138 ms 90.7%
SingleProcess AUTOTUNE benchmarking takes 2.1289 seconds and 0.0008 seconds precompiling
AUTOTUNE mm(24x2560, 2560x1280)
  triton_mm_1955 0.0169 ms 100.0%
  triton_mm_1959 0.0190 ms 89.1%
  mm 0.0192 ms 88.2%
  triton_mm_1963 0.0221 ms 76.4%
  triton_mm_1954 0.0261 ms 64.8%
  triton_mm_1967 0.0262 ms 64.6%
  triton_mm_1953 0.0273 ms 62.1%
  triton_mm_1958 0.0283 ms 59.8%
  triton_mm_1962 0.0286 ms 59.2%
  triton_mm_1952 0.0297 ms 57.0%
SingleProcess AUTOTUNE benchmarking takes 7.2367 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x32768, 32768x1280)
  mm 2.3715 ms 100.0%
  triton_mm_1929 2.3739 ms 99.9%
  triton_mm_1930 2.3820 ms 99.6%
  triton_mm_1931 2.4386 ms 97.2%
  triton_mm_1925 3.0800 ms 77.0%
  triton_mm_1924 3.2138 ms 73.8%
  triton_mm_1922 3.2612 ms 72.7%
  triton_mm_1923 3.2863 ms 72.2%
  triton_mm_1927 3.3532 ms 70.7%
  triton_mm_1926 3.5348 ms 67.1%
SingleProcess AUTOTUNE benchmarking takes 10.3919 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2001 0.3805 ms 100.0%
  mm 0.3826 ms 99.4%
  triton_mm_2002 0.3978 ms 95.7%
  triton_mm_2003 0.4286 ms 88.8%
  triton_mm_1994 0.4681 ms 81.3%
  triton_mm_1996 0.4697 ms 81.0%
  triton_mm_1995 0.5009 ms 76.0%
  triton_mm_1999 0.5363 ms 71.0%
  triton_mm_1998 0.5409 ms 70.3%
  triton_mm_1997 0.5457 ms 69.7%
SingleProcess AUTOTUNE benchmarking takes 11.2672 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3587 ms 100.0%
  triton_mm_2039 0.3680 ms 97.5%
  triton_mm_2040 0.3744 ms 95.8%
  triton_mm_2041 0.4314 ms 83.2%
  triton_mm_2034 0.4586 ms 78.2%
  triton_mm_2035 0.4715 ms 76.1%
  triton_mm_2032 0.4812 ms 74.5%
  triton_mm_2036 0.4832 ms 74.2%
  triton_mm_2033 0.5078 ms 70.6%
  triton_mm_2037 0.5228 ms 68.6%
SingleProcess AUTOTUNE benchmarking takes 11.9192 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2058 0.3766 ms 100.0%
  triton_mm_2059 0.3880 ms 97.1%
  mm 0.3892 ms 96.8%
  triton_mm_2060 0.4010 ms 93.9%
  triton_mm_2053 0.4711 ms 80.0%
  triton_mm_2051 0.4783 ms 78.8%
  triton_mm_2055 0.4805 ms 78.4%
  triton_mm_2054 0.5099 ms 73.9%
  triton_mm_2056 0.5279 ms 71.4%
  triton_mm_2052 0.5363 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 10.0939 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x3840, 3840x1280)
  mm 0.2710 ms 100.0%
  triton_mm_2115 0.2752 ms 98.4%
  triton_mm_2116 0.2834 ms 95.6%
  triton_mm_2117 0.3304 ms 82.0%
  triton_mm_2110 0.3442 ms 78.7%
  triton_mm_2111 0.3535 ms 76.6%
  triton_mm_2108 0.3632 ms 74.6%
  triton_mm_2112 0.3657 ms 74.1%
  triton_mm_2109 0.3754 ms 72.2%
  triton_mm_2113 0.3921 ms 69.1%
SingleProcess AUTOTUNE benchmarking takes 9.9154 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(3840x6864, 6864x1280)
  triton_mm_2134 0.2897 ms 100.0%
  mm 0.2937 ms 98.6%
  triton_mm_2135 0.2940 ms 98.5%
  triton_mm_2136 0.2998 ms 96.6%
  triton_mm_2127 0.3529 ms 82.1%
  triton_mm_2129 0.3547 ms 81.7%
  triton_mm_2131 0.3557 ms 81.4%
  triton_mm_2130 0.3824 ms 75.8%
  triton_mm_2132 0.3946 ms 73.4%
  triton_mm_2128 0.4004 ms 72.3%
SingleProcess AUTOTUNE benchmarking takes 9.9672 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0935 ms 100.0%
  triton_mm_2098 0.1007 ms 92.8%
  triton_mm_2097 0.1093 ms 85.5%
  triton_mm_2096 0.1219 ms 76.7%
  triton_mm_2091 0.1220 ms 76.6%
  triton_mm_2093 0.1244 ms 75.2%
  triton_mm_2089 0.1248 ms 74.9%
  triton_mm_2092 0.1289 ms 72.5%
  triton_mm_2094 0.1314 ms 71.1%
  triton_mm_2090 0.1342 ms 69.6%
SingleProcess AUTOTUNE benchmarking takes 9.9327 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0979 ms 100.0%
  triton_mm_2077 0.1001 ms 97.8%
  triton_mm_2078 0.1030 ms 95.0%
  triton_mm_2079 0.1107 ms 88.4%
  triton_mm_2070 0.1250 ms 78.4%
  triton_mm_2074 0.1252 ms 78.2%
  triton_mm_2072 0.1256 ms 78.0%
  triton_mm_2071 0.1291 ms 75.9%
  triton_mm_2075 0.1370 ms 71.5%
  triton_mm_2073 0.1462 ms 67.0%
SingleProcess AUTOTUNE benchmarking takes 10.8263 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2165 0.0203 ms 100.0%
  triton_mm_2166 0.0204 ms 99.8%
  triton_mm_2160 0.0206 ms 98.6%
  triton_mm_2164 0.0215 ms 94.4%
  triton_mm_2169 0.0215 ms 94.4%
  triton_mm_2163 0.0216 ms 93.9%
  triton_mm_2162 0.0219 ms 93.0%
  triton_mm_2167 0.0227 ms 89.7%
  triton_mm_2159 0.0228 ms 89.3%
  triton_mm_2168 0.0228 ms 89.3%
SingleProcess AUTOTUNE benchmarking takes 5.9131 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3582 ms 100.0%
  triton_mm_2206 0.3816 ms 93.9%
  triton_mm_2207 0.3896 ms 92.0%
  triton_mm_2208 0.4012 ms 89.3%
  triton_mm_2201 0.4803 ms 74.6%
  triton_mm_2203 0.4834 ms 74.1%
  triton_mm_2199 0.4880 ms 73.4%
  triton_mm_2202 0.5130 ms 69.8%
  triton_mm_2204 0.5262 ms 68.1%
  triton_mm_2200 0.5370 ms 66.7%
SingleProcess AUTOTUNE benchmarking takes 2.5601 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  triton_mm_2141 0.0323 ms 100.0%
  mm 0.0324 ms 99.7%
  triton_mm_2145 0.0359 ms 89.9%
  triton_mm_2149 0.0464 ms 69.7%
  triton_mm_2153 0.0580 ms 55.8%
  triton_mm_2140 0.0601 ms 53.8%
  triton_mm_2139 0.0658 ms 49.1%
  triton_mm_2144 0.0709 ms 45.6%
  triton_mm_2148 0.0716 ms 45.1%
  triton_mm_2138 0.0762 ms 42.4%
SingleProcess AUTOTUNE benchmarking takes 6.8173 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2187 0.3808 ms 100.0%
  mm 0.3829 ms 99.5%
  triton_mm_2188 0.3976 ms 95.8%
  triton_mm_2189 0.4288 ms 88.8%
  triton_mm_2180 0.4663 ms 81.7%
  triton_mm_2182 0.4683 ms 81.3%
  triton_mm_2184 0.4785 ms 79.6%
  triton_mm_2181 0.4987 ms 76.4%
  triton_mm_2185 0.5350 ms 71.2%
  triton_mm_2183 0.5492 ms 69.3%
SingleProcess AUTOTUNE benchmarking takes 2.5501 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3588 ms 100.0%
  triton_mm_2225 0.3670 ms 97.8%
  triton_mm_2226 0.3727 ms 96.3%
  triton_mm_2227 0.3852 ms 93.2%
  triton_mm_2220 0.4599 ms 78.0%
  triton_mm_2221 0.4720 ms 76.0%
  triton_mm_2218 0.4803 ms 74.7%
  triton_mm_2222 0.4825 ms 74.4%
  triton_mm_2219 0.5065 ms 70.8%
  triton_mm_2223 0.5226 ms 68.7%
SingleProcess AUTOTUNE benchmarking takes 2.5558 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2244 0.3769 ms 100.0%
  mm 0.3868 ms 97.4%
  triton_mm_2245 0.3893 ms 96.8%
  triton_mm_2246 0.4025 ms 93.6%
  triton_mm_2239 0.4726 ms 79.7%
  triton_mm_2237 0.4817 ms 78.2%
  triton_mm_2241 0.4818 ms 78.2%
  triton_mm_2240 0.5131 ms 73.4%
  triton_mm_2242 0.5292 ms 71.2%
  triton_mm_2238 0.5364 ms 70.3%
SingleProcess AUTOTUNE benchmarking takes 2.5580 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x3840, 3840x1280)
  mm 0.2678 ms 100.0%
  triton_mm_2301 0.2745 ms 97.6%
  triton_mm_2302 0.2823 ms 94.9%
  triton_mm_2303 0.2934 ms 91.3%
  triton_mm_2296 0.3439 ms 77.9%
  triton_mm_2297 0.3542 ms 75.6%
  triton_mm_2294 0.3626 ms 73.9%
  triton_mm_2298 0.3646 ms 73.5%
  triton_mm_2295 0.3793 ms 70.6%
  triton_mm_2299 0.3907 ms 68.5%
SingleProcess AUTOTUNE benchmarking takes 2.5294 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(3840x6864, 6864x1280)
  triton_mm_2320 0.2903 ms 100.0%
  triton_mm_2321 0.2932 ms 99.0%
  mm 0.2933 ms 99.0%
  triton_mm_2322 0.3001 ms 96.7%
  triton_mm_2315 0.3533 ms 82.2%
  triton_mm_2313 0.3540 ms 82.0%
  triton_mm_2317 0.3554 ms 81.7%
  triton_mm_2316 0.3822 ms 75.9%
  triton_mm_2318 0.3961 ms 73.3%
  triton_mm_2314 0.4003 ms 72.5%
SingleProcess AUTOTUNE benchmarking takes 2.5344 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0936 ms 100.0%
  triton_mm_2284 0.0994 ms 94.1%
  triton_mm_2283 0.1089 ms 85.9%
  triton_mm_2277 0.1213 ms 77.1%
  triton_mm_2282 0.1217 ms 76.9%
  triton_mm_2279 0.1239 ms 75.5%
  triton_mm_2275 0.1250 ms 74.9%
  triton_mm_2278 0.1280 ms 73.1%
  triton_mm_2280 0.1309 ms 71.5%
  triton_mm_2276 0.1337 ms 70.0%
SingleProcess AUTOTUNE benchmarking takes 2.4297 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0977 ms 100.0%
  triton_mm_2263 0.0999 ms 97.8%
  triton_mm_2264 0.1028 ms 95.0%
  triton_mm_2265 0.1104 ms 88.5%
  triton_mm_2256 0.1235 ms 79.1%
  triton_mm_2258 0.1252 ms 78.0%
  triton_mm_2260 0.1252 ms 78.0%
  triton_mm_2257 0.1279 ms 76.4%
  triton_mm_2261 0.1374 ms 71.1%
  triton_mm_2259 0.1451 ms 67.3%
SingleProcess AUTOTUNE benchmarking takes 2.4363 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2351 0.0203 ms 100.0%
  triton_mm_2346 0.0206 ms 98.6%
  triton_mm_2348 0.0206 ms 98.5%
  triton_mm_2349 0.0214 ms 94.9%
  triton_mm_2352 0.0215 ms 94.6%
  triton_mm_2350 0.0215 ms 94.4%
  triton_mm_2355 0.0215 ms 94.4%
  triton_mm_2353 0.0219 ms 92.7%
  triton_mm_2345 0.0226 ms 89.9%
  triton_mm_2347 0.0233 ms 87.3%
SingleProcess AUTOTUNE benchmarking takes 2.1344 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3597 ms 100.0%
  triton_mm_2392 0.3824 ms 94.1%
  triton_mm_2393 0.3907 ms 92.1%
  triton_mm_2394 0.4034 ms 89.2%
  triton_mm_2387 0.4810 ms 74.8%
  triton_mm_2389 0.4845 ms 74.2%
  triton_mm_2385 0.4914 ms 73.2%
  triton_mm_2388 0.5144 ms 69.9%
  triton_mm_2390 0.5272 ms 68.2%
  triton_mm_2386 0.5402 ms 66.6%
SingleProcess AUTOTUNE benchmarking takes 2.5535 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  triton_mm_2327 0.0324 ms 100.0%
  mm 0.0324 ms 99.7%
  triton_mm_2331 0.0347 ms 93.4%
  triton_mm_2335 0.0455 ms 71.1%
  triton_mm_2339 0.0591 ms 54.7%
  triton_mm_2326 0.0601 ms 53.8%
  triton_mm_2325 0.0658 ms 49.2%
  triton_mm_2330 0.0701 ms 46.1%
  triton_mm_2334 0.0716 ms 45.2%
  triton_mm_2324 0.0768 ms 42.1%
SingleProcess AUTOTUNE benchmarking takes 2.0808 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2373 0.3812 ms 100.0%
  mm 0.3821 ms 99.8%
  triton_mm_2374 0.3986 ms 95.6%
  triton_mm_2375 0.4302 ms 88.6%
  triton_mm_2366 0.4622 ms 82.5%
  triton_mm_2368 0.4715 ms 80.8%
  triton_mm_2370 0.4797 ms 79.5%
  triton_mm_2367 0.4985 ms 76.5%
  triton_mm_2371 0.5374 ms 70.9%
  triton_mm_2369 0.5479 ms 69.6%
SingleProcess AUTOTUNE benchmarking takes 2.5514 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2430 0.3763 ms 100.0%
  mm 0.3836 ms 98.1%
  triton_mm_2431 0.3878 ms 97.0%
  triton_mm_2432 0.4026 ms 93.5%
  triton_mm_2425 0.4703 ms 80.0%
  triton_mm_2423 0.4807 ms 78.3%
  triton_mm_2427 0.4826 ms 78.0%
  triton_mm_2426 0.5113 ms 73.6%
  triton_mm_2428 0.5282 ms 71.2%
  triton_mm_2424 0.5352 ms 70.3%
SingleProcess AUTOTUNE benchmarking takes 2.5585 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0983 ms 100.0%
  triton_mm_2449 0.1002 ms 98.1%
  triton_mm_2450 0.1034 ms 95.0%
  triton_mm_2451 0.1092 ms 90.0%
  triton_mm_2442 0.1234 ms 79.6%
  triton_mm_2446 0.1252 ms 78.5%
  triton_mm_2444 0.1255 ms 78.3%
  triton_mm_2443 0.1287 ms 76.4%
  triton_mm_2447 0.1377 ms 71.4%
  triton_mm_2445 0.1450 ms 67.8%
SingleProcess AUTOTUNE benchmarking takes 2.4222 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2559 0.3809 ms 100.0%
  mm 0.3847 ms 99.0%
  triton_mm_2560 0.3977 ms 95.8%
  triton_mm_2561 0.4301 ms 88.5%
  triton_mm_2552 0.4679 ms 81.4%
  triton_mm_2554 0.4694 ms 81.1%
  triton_mm_2556 0.4829 ms 78.9%
  triton_mm_2553 0.4989 ms 76.3%
  triton_mm_2557 0.5388 ms 70.7%
  triton_mm_2555 0.5491 ms 69.4%
SingleProcess AUTOTUNE benchmarking takes 2.5573 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2616 0.3765 ms 100.0%
  mm 0.3849 ms 97.8%
  triton_mm_2617 0.3894 ms 96.7%
  triton_mm_2618 0.4013 ms 93.8%
  triton_mm_2611 0.4704 ms 80.0%
  triton_mm_2609 0.4795 ms 78.5%
  triton_mm_2613 0.4817 ms 78.2%
  triton_mm_2612 0.5109 ms 73.7%
  triton_mm_2614 0.5288 ms 71.2%
  triton_mm_2610 0.5363 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 2.5619 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0983 ms 100.0%
  triton_mm_2635 0.0995 ms 98.9%
  triton_mm_2636 0.1025 ms 95.9%
  triton_mm_2637 0.1101 ms 89.3%
  triton_mm_2628 0.1233 ms 79.7%
  triton_mm_2632 0.1254 ms 78.4%
  triton_mm_2630 0.1257 ms 78.3%
  triton_mm_2629 0.1285 ms 76.5%
  triton_mm_2633 0.1376 ms 71.4%
  triton_mm_2631 0.1450 ms 67.8%
SingleProcess AUTOTUNE benchmarking takes 2.4348 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2745 0.3807 ms 100.0%
  mm 0.3835 ms 99.3%
  triton_mm_2746 0.3985 ms 95.5%
  triton_mm_2747 0.4311 ms 88.3%
  triton_mm_2738 0.4668 ms 81.5%
  triton_mm_2740 0.4693 ms 81.1%
  triton_mm_2742 0.4824 ms 78.9%
  triton_mm_2739 0.4991 ms 76.3%
  triton_mm_2743 0.5375 ms 70.8%
  triton_mm_2741 0.5481 ms 69.5%
SingleProcess AUTOTUNE benchmarking takes 2.5611 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2802 0.3748 ms 100.0%
  mm 0.3848 ms 97.4%
  triton_mm_2803 0.3878 ms 96.7%
  triton_mm_2804 0.4036 ms 92.9%
  triton_mm_2797 0.4708 ms 79.6%
  triton_mm_2795 0.4794 ms 78.2%
  triton_mm_2799 0.4816 ms 77.8%
  triton_mm_2798 0.5095 ms 73.6%
  triton_mm_2800 0.5298 ms 70.8%
  triton_mm_2796 0.5364 ms 69.9%
SingleProcess AUTOTUNE benchmarking takes 2.5634 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0973 ms 100.0%
  triton_mm_2821 0.0995 ms 97.8%
  triton_mm_2822 0.1025 ms 94.9%
  triton_mm_2823 0.1100 ms 88.4%
  triton_mm_2818 0.1241 ms 78.4%
  triton_mm_2814 0.1242 ms 78.4%
  triton_mm_2816 0.1242 ms 78.3%
  triton_mm_2815 0.1284 ms 75.8%
  triton_mm_2819 0.1364 ms 71.3%
  triton_mm_2817 0.1458 ms 66.7%
SingleProcess AUTOTUNE benchmarking takes 2.4486 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2931 0.3821 ms 100.0%
  mm 0.3834 ms 99.6%
  triton_mm_2932 0.3978 ms 96.1%
  triton_mm_2933 0.4291 ms 89.0%
  triton_mm_2924 0.4659 ms 82.0%
  triton_mm_2926 0.4708 ms 81.2%
  triton_mm_2928 0.4824 ms 79.2%
  triton_mm_2925 0.4992 ms 76.5%
  triton_mm_2929 0.5379 ms 71.0%
  triton_mm_2927 0.5500 ms 69.5%
SingleProcess AUTOTUNE benchmarking takes 2.5653 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0977 ms 100.0%
  triton_mm_3007 0.0994 ms 98.3%
  triton_mm_3008 0.1025 ms 95.3%
  triton_mm_3009 0.1100 ms 88.8%
  triton_mm_3000 0.1232 ms 79.3%
  triton_mm_3004 0.1246 ms 78.4%
  triton_mm_3002 0.1248 ms 78.3%
  triton_mm_3001 0.1282 ms 76.2%
  triton_mm_3005 0.1363 ms 71.7%
  triton_mm_3003 0.1450 ms 67.4%
SingleProcess AUTOTUNE benchmarking takes 2.4320 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_3117 0.3825 ms 100.0%
  mm 0.3835 ms 99.8%
  triton_mm_3118 0.3980 ms 96.1%
  triton_mm_3119 0.4299 ms 89.0%
  triton_mm_3110 0.4674 ms 81.8%
  triton_mm_3112 0.4695 ms 81.5%
  triton_mm_3114 0.4849 ms 78.9%
  triton_mm_3111 0.4985 ms 76.7%
  triton_mm_3115 0.5393 ms 70.9%
  triton_mm_3113 0.5489 ms 69.7%
SingleProcess AUTOTUNE benchmarking takes 2.5575 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_3174 0.3758 ms 100.0%
  triton_mm_3175 0.3876 ms 96.9%
  mm 0.3882 ms 96.8%
  triton_mm_3176 0.4032 ms 93.2%
  triton_mm_3169 0.4716 ms 79.7%
  triton_mm_3167 0.4788 ms 78.5%
  triton_mm_3171 0.4832 ms 77.8%
  triton_mm_3170 0.5107 ms 73.6%
  triton_mm_3172 0.5283 ms 71.1%
  triton_mm_3168 0.5369 ms 70.0%
SingleProcess AUTOTUNE benchmarking takes 2.5699 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0978 ms 100.0%
  triton_mm_3193 0.1002 ms 97.6%
  triton_mm_3194 0.1033 ms 94.6%
  triton_mm_3195 0.1092 ms 89.5%
  triton_mm_3186 0.1233 ms 79.3%
  triton_mm_3190 0.1245 ms 78.6%
  triton_mm_3188 0.1249 ms 78.3%
  triton_mm_3187 0.1277 ms 76.6%
  triton_mm_3191 0.1363 ms 71.7%
  triton_mm_3189 0.1450 ms 67.4%
SingleProcess AUTOTUNE benchmarking takes 2.4506 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_3303 0.3800 ms 100.0%
  mm 0.3845 ms 98.8%
  triton_mm_3304 0.3983 ms 95.4%
  triton_mm_3305 0.4306 ms 88.3%
  triton_mm_3296 0.4683 ms 81.2%
  triton_mm_3298 0.4697 ms 80.9%
  triton_mm_3300 0.4811 ms 79.0%
  triton_mm_3297 0.5005 ms 75.9%
  triton_mm_3301 0.5369 ms 70.8%
  triton_mm_3299 0.5504 ms 69.0%
SingleProcess AUTOTUNE benchmarking takes 2.5649 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_3360 0.3766 ms 100.0%
  mm 0.3884 ms 97.0%
  triton_mm_3361 0.3885 ms 96.9%
  triton_mm_3362 0.4014 ms 93.8%
  triton_mm_3355 0.4716 ms 79.9%
  triton_mm_3353 0.4791 ms 78.6%
  triton_mm_3357 0.4816 ms 78.2%
  triton_mm_3356 0.5105 ms 73.8%
  triton_mm_3358 0.5264 ms 71.5%
  triton_mm_3354 0.5357 ms 70.3%
SingleProcess AUTOTUNE benchmarking takes 2.5547 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_3546 0.3766 ms 100.0%
  mm 0.3870 ms 97.3%
  triton_mm_3547 0.3881 ms 97.0%
  triton_mm_3548 0.4009 ms 93.9%
  triton_mm_3541 0.4697 ms 80.2%
  triton_mm_3539 0.4782 ms 78.7%
  triton_mm_3543 0.4811 ms 78.3%
  triton_mm_3542 0.5109 ms 73.7%
  triton_mm_3544 0.5256 ms 71.6%
  triton_mm_3540 0.5343 ms 70.5%
SingleProcess AUTOTUNE benchmarking takes 2.5644 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_3732 0.3752 ms 100.0%
  mm 0.3872 ms 96.9%
  triton_mm_3733 0.3881 ms 96.7%
  triton_mm_3734 0.4023 ms 93.3%
  triton_mm_3727 0.4704 ms 79.8%
  triton_mm_3725 0.4791 ms 78.3%
  triton_mm_3729 0.4822 ms 77.8%
  triton_mm_3728 0.5099 ms 73.6%
  triton_mm_3730 0.5266 ms 71.2%
  triton_mm_3726 0.5341 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 2.5509 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6840, 6840x32)
  mm 0.0314 ms 100.0%
  triton_mm_5709 0.0430 ms 73.0%
  triton_mm_5716 0.0430 ms 72.9%
  triton_mm_5707 0.0555 ms 56.5%
  triton_mm_5708 0.0642 ms 48.9%
  triton_mm_5715 0.0665 ms 47.1%
  triton_mm_5712 0.0677 ms 46.3%
  triton_mm_5706 0.0679 ms 46.2%
  triton_mm_5721 0.0691 ms 45.4%
  triton_mm_5720 0.0746 ms 42.1%
SingleProcess AUTOTUNE benchmarking takes 6.5516 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/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/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x28, 28x1280)
  triton_mm_7 0.0293 ms 100.0%
  triton_mm_6 0.0297 ms 98.7%
  triton_mm_8 0.0297 ms 98.7%
  triton_mm_12 0.0304 ms 96.4%
  triton_mm_4 0.0309 ms 94.8%
  triton_mm_9 0.0309 ms 94.6%
  triton_mm_11 0.0309 ms 94.6%
  triton_mm_14 0.0329 ms 89.1%
  triton_mm_3 0.0332 ms 88.1%
  triton_mm_15 0.0335 ms 87.5%
SingleProcess AUTOTUNE benchmarking takes 2.1673 seconds and 0.0084 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_33 0.0262 ms 100.0%
  triton_mm_18 0.0279 ms 93.9%
  triton_mm_29 0.0282 ms 93.0%
  triton_mm_28 0.0294 ms 89.1%
  triton_mm_24 0.0295 ms 89.0%
  bias_addmm 0.0297 ms 88.3%
  triton_mm_25 0.0307 ms 85.6%
  triton_mm_21 0.0317 ms 82.8%
  triton_mm_20 0.0327 ms 80.2%
  triton_mm_19 0.0330 ms 79.6%
SingleProcess AUTOTUNE benchmarking takes 2.1766 seconds and 0.0010 seconds precompiling
AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840)
  triton_mm_50 0.3017 ms 100.0%
  triton_mm_51 0.3029 ms 99.6%
  bias_addmm 0.3389 ms 89.0%
  triton_mm_52 0.3399 ms 88.7%
  triton_mm_45 0.3537 ms 85.3%
  triton_mm_43 0.3730 ms 80.9%
  triton_mm_47 0.3765 ms 80.1%
  triton_mm_44 0.4151 ms 72.7%
  triton_mm_48 0.4284 ms 70.4%
  triton_mm_46 0.4290 ms 70.3%
SingleProcess AUTOTUNE benchmarking takes 2.7134 seconds and 0.0208 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280)
  triton_mm_70 0.1044 ms 100.0%
  triton_mm_69 0.1077 ms 96.9%
  triton_mm_71 0.1165 ms 89.6%
  bias_addmm 0.1196 ms 87.2%
  triton_mm_64 0.1243 ms 83.9%
  addmm 0.1299 ms 80.4%
  triton_mm_66 0.1314 ms 79.4%
  triton_mm_62 0.1318 ms 79.2%
  triton_mm_63 0.1458 ms 71.6%
  triton_mm_67 0.1481 ms 70.4%
SingleProcess AUTOTUNE benchmarking takes 2.5405 seconds and 0.0009 seconds precompiling
AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120)
  triton_mm_89 0.4042 ms 100.0%
  triton_mm_88 0.4093 ms 98.8%
  triton_mm_90 0.4555 ms 88.7%
  triton_mm_83 0.4696 ms 86.1%
  triton_mm_81 0.4996 ms 80.9%
  triton_mm_85 0.5067 ms 79.8%
  triton_mm_82 0.5571 ms 72.6%
  triton_mm_84 0.5641 ms 71.7%
  triton_mm_86 0.5759 ms 70.2%
  addmm 0.6025 ms 67.1%
SingleProcess AUTOTUNE benchmarking takes 2.6861 seconds and 0.4994 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_108 0.3710 ms 100.0%
  triton_mm_107 0.3885 ms 95.5%
  triton_mm_109 0.3928 ms 94.5%
  addmm 0.4295 ms 86.4%
  bias_addmm 0.4377 ms 84.8%
  triton_mm_102 0.4659 ms 79.6%
  triton_mm_103 0.4847 ms 76.6%
  triton_mm_100 0.4851 ms 76.5%
  triton_mm_104 0.4858 ms 76.4%
  triton_mm_105 0.5410 ms 68.6%
SingleProcess AUTOTUNE benchmarking takes 2.6838 seconds and 0.2043 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_126 0.0274 ms 100.0%
  triton_mm_122 0.0281 ms 97.4%
  triton_mm_111 0.0289 ms 94.7%
  triton_mm_117 0.0294 ms 92.9%
  triton_mm_121 0.0294 ms 92.9%
  triton_mm_118 0.0302 ms 90.6%
  bias_addmm 0.0309 ms 88.4%
  triton_mm_114 0.0312 ms 87.8%
  triton_mm_113 0.0327 ms 83.7%
  triton_mm_112 0.0330 ms 82.9%
SingleProcess AUTOTUNE benchmarking takes 2.7654 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_201 0.3707 ms 100.0%
  triton_mm_200 0.3883 ms 95.5%
  triton_mm_202 0.3927 ms 94.4%
  addmm 0.4294 ms 86.3%
  bias_addmm 0.4387 ms 84.5%
  triton_mm_195 0.4655 ms 79.6%
  triton_mm_193 0.4855 ms 76.4%
  triton_mm_196 0.4858 ms 76.3%
  triton_mm_197 0.4886 ms 75.9%
  triton_mm_198 0.5387 ms 68.8%
SingleProcess AUTOTUNE benchmarking takes 2.6790 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_219 0.0263 ms 100.0%
  triton_mm_215 0.0282 ms 93.3%
  triton_mm_214 0.0285 ms 92.2%
  triton_mm_204 0.0290 ms 90.6%
  triton_mm_210 0.0295 ms 89.1%
  triton_mm_211 0.0302 ms 86.9%
  triton_mm_207 0.0312 ms 84.1%
  bias_addmm 0.0317 ms 82.9%
  triton_mm_206 0.0327 ms 80.3%
  triton_mm_217 0.0334 ms 78.6%
SingleProcess AUTOTUNE benchmarking takes 2.1801 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_294 0.3698 ms 100.0%
  triton_mm_293 0.3888 ms 95.1%
  triton_mm_295 0.3938 ms 93.9%
  addmm 0.4294 ms 86.1%
  bias_addmm 0.4378 ms 84.5%
  triton_mm_288 0.4650 ms 79.5%
  triton_mm_289 0.4852 ms 76.2%
  triton_mm_286 0.4858 ms 76.1%
  triton_mm_290 0.4860 ms 76.1%
  triton_mm_291 0.5412 ms 68.3%
SingleProcess AUTOTUNE benchmarking takes 2.6784 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_387 0.3693 ms 100.0%
  triton_mm_386 0.3884 ms 95.1%
  triton_mm_388 0.3920 ms 94.2%
  addmm 0.4297 ms 85.9%
  bias_addmm 0.4380 ms 84.3%
  triton_mm_381 0.4653 ms 79.4%
  triton_mm_379 0.4832 ms 76.4%
  triton_mm_382 0.4860 ms 76.0%
  triton_mm_383 0.4865 ms 75.9%
  triton_mm_384 0.5375 ms 68.7%
SingleProcess AUTOTUNE benchmarking takes 2.6723 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_573 0.3685 ms 100.0%
  triton_mm_572 0.3871 ms 95.2%
  triton_mm_574 0.3916 ms 94.1%
  addmm 0.4297 ms 85.7%
  bias_addmm 0.4387 ms 84.0%
  triton_mm_567 0.4640 ms 79.4%
  triton_mm_565 0.4850 ms 76.0%
  triton_mm_569 0.4852 ms 75.9%
  triton_mm_568 0.4858 ms 75.9%
  triton_mm_570 0.5409 ms 68.1%
SingleProcess AUTOTUNE benchmarking takes 2.6855 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_666 0.3698 ms 100.0%
  triton_mm_665 0.3870 ms 95.5%
  triton_mm_667 0.3917 ms 94.4%
  addmm 0.3934 ms 94.0%
  bias_addmm 0.4380 ms 84.4%
  triton_mm_660 0.4642 ms 79.7%
  triton_mm_661 0.4845 ms 76.3%
  triton_mm_658 0.4849 ms 76.3%
  triton_mm_662 0.4849 ms 76.3%
  triton_mm_663 0.5417 ms 68.3%
SingleProcess AUTOTUNE benchmarking takes 2.6867 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1280, 1280x2560)
  triton_mm_1881 0.0143 ms 100.0%
  triton_mm_1885 0.0146 ms 98.2%
  triton_mm_1889 0.0169 ms 84.5%
  triton_mm_1893 0.0174 ms 82.0%
  triton_mm_1878 0.0189 ms 75.5%
  triton_mm_1884 0.0193 ms 74.3%
  triton_mm_1879 0.0196 ms 72.9%
  triton_mm_1880 0.0196 ms 72.8%
  triton_mm_1888 0.0221 ms 64.7%
  triton_mm_1891 0.0229 ms 62.3%
SingleProcess AUTOTUNE benchmarking takes 7.7048 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768)
  bias_addmm 2.5387 ms 100.0%
  triton_mm_1911 2.5797 ms 98.4%
  triton_mm_1910 2.6179 ms 97.0%
  triton_mm_1912 2.8802 ms 88.1%
  triton_mm_1905 3.0890 ms 82.2%
  triton_mm_1907 3.2427 ms 78.3%
  addmm 3.2436 ms 78.3%
  triton_mm_1903 3.3669 ms 75.4%
  triton_mm_1906 3.6585 ms 69.4%
  triton_mm_1908 3.6716 ms 69.1%
SingleProcess AUTOTUNE benchmarking takes 15.1931 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(32768x6864, 6864x1280)
  mm 2.2189 ms 100.0%
  triton_mm_1948 2.3196 ms 95.7%
  triton_mm_1949 2.3955 ms 92.6%
  triton_mm_1950 2.5094 ms 88.4%
  triton_mm_1943 2.9809 ms 74.4%
  triton_mm_1941 3.0292 ms 73.3%
  triton_mm_1945 3.1066 ms 71.4%
  triton_mm_1944 3.1105 ms 71.3%
  triton_mm_1946 3.1996 ms 69.3%
  triton_mm_1942 3.3192 ms 66.8%
SingleProcess AUTOTUNE benchmarking takes 10.1196 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3557 ms 100.0%
  triton_mm_2020 0.3838 ms 92.7%
  triton_mm_2021 0.3910 ms 91.0%
  triton_mm_2022 0.4006 ms 88.8%
  triton_mm_2015 0.4778 ms 74.5%
  triton_mm_2017 0.4805 ms 74.0%
  triton_mm_2013 0.4827 ms 73.7%
  triton_mm_2016 0.5129 ms 69.4%
  triton_mm_2018 0.5253 ms 67.7%
  triton_mm_2014 0.5404 ms 65.8%
SingleProcess AUTOTUNE benchmarking takes 9.7913 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(2560x24, 24x1280)
  triton_mm_1981 0.0130 ms 100.0%
  triton_mm_1979 0.0130 ms 99.8%
  triton_mm_1973 0.0132 ms 98.3%
  triton_mm_1974 0.0132 ms 98.3%
  triton_mm_1976 0.0132 ms 98.3%
  triton_mm_1975 0.0134 ms 96.9%
  triton_mm_1984 0.0134 ms 96.9%
  triton_mm_1982 0.0134 ms 96.7%
  triton_mm_1980 0.0136 ms 95.4%
  triton_mm_1977 0.0138 ms 94.3%
SingleProcess AUTOTUNE benchmarking takes 6.1056 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2560, 2560x1280)
  triton_mm_1955 0.0170 ms 100.0%
  triton_mm_1959 0.0189 ms 89.9%
  mm 0.0192 ms 88.7%
  triton_mm_1963 0.0223 ms 76.2%
  triton_mm_1967 0.0252 ms 67.5%
  triton_mm_1954 0.0260 ms 65.4%
  triton_mm_1953 0.0272 ms 62.6%
  triton_mm_1958 0.0283 ms 60.1%
  triton_mm_1962 0.0287 ms 59.2%
  triton_mm_1952 0.0299 ms 57.0%
SingleProcess AUTOTUNE benchmarking takes 7.5069 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x32768, 32768x1280)
  triton_mm_1929 2.3551 ms 100.0%
  mm 2.3635 ms 99.6%
  triton_mm_1930 2.3666 ms 99.5%
  triton_mm_1931 2.4167 ms 97.4%
  triton_mm_1925 3.0712 ms 76.7%
  triton_mm_1924 3.2067 ms 73.4%
  triton_mm_1922 3.2527 ms 72.4%
  triton_mm_1923 3.2625 ms 72.2%
  triton_mm_1927 3.3776 ms 69.7%
  triton_mm_1926 3.5078 ms 67.1%
SingleProcess AUTOTUNE benchmarking takes 10.3501 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2001 0.3790 ms 100.0%
  triton_mm_2002 0.3963 ms 95.6%
  mm 0.3991 ms 95.0%
  triton_mm_2003 0.4270 ms 88.8%
  triton_mm_1994 0.4642 ms 81.6%
  triton_mm_1996 0.4664 ms 81.3%
  triton_mm_1998 0.4767 ms 79.5%
  triton_mm_1995 0.4975 ms 76.2%
  triton_mm_1999 0.5335 ms 71.0%
  triton_mm_1997 0.5449 ms 69.6%
SingleProcess AUTOTUNE benchmarking takes 12.2094 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3576 ms 100.0%
  triton_mm_2039 0.3667 ms 97.5%
  triton_mm_2040 0.3732 ms 95.8%
  triton_mm_2041 0.3837 ms 93.2%
  triton_mm_2034 0.4558 ms 78.5%
  triton_mm_2035 0.4682 ms 76.4%
  triton_mm_2036 0.4705 ms 76.0%
  triton_mm_2032 0.4805 ms 74.4%
  triton_mm_2033 0.5052 ms 70.8%
  triton_mm_2037 0.5222 ms 68.5%
SingleProcess AUTOTUNE benchmarking takes 9.9290 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2058 0.3752 ms 100.0%
  triton_mm_2059 0.3859 ms 97.2%
  mm 0.3875 ms 96.8%
  triton_mm_2060 0.4009 ms 93.6%
  triton_mm_2051 0.4680 ms 80.2%
  triton_mm_2053 0.4682 ms 80.1%
  triton_mm_2055 0.4715 ms 79.6%
  triton_mm_2054 0.5088 ms 73.7%
  triton_mm_2056 0.5256 ms 71.4%
  triton_mm_2052 0.5333 ms 70.4%
SingleProcess AUTOTUNE benchmarking takes 10.2595 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x3840, 3840x1280)
  mm 0.2694 ms 100.0%
  triton_mm_2115 0.2756 ms 97.8%
  triton_mm_2116 0.2825 ms 95.4%
  triton_mm_2117 0.2928 ms 92.0%
  triton_mm_2110 0.3436 ms 78.4%
  triton_mm_2111 0.3513 ms 76.7%
  triton_mm_2108 0.3628 ms 74.3%
  triton_mm_2112 0.3636 ms 74.1%
  triton_mm_2109 0.3790 ms 71.1%
  triton_mm_2113 0.3910 ms 68.9%
SingleProcess AUTOTUNE benchmarking takes 9.9932 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(3840x6864, 6864x1280)
  triton_mm_2134 0.2894 ms 100.0%
  mm 0.2910 ms 99.5%
  triton_mm_2135 0.2927 ms 98.9%
  triton_mm_2136 0.2997 ms 96.6%
  triton_mm_2127 0.3494 ms 82.8%
  triton_mm_2129 0.3514 ms 82.4%
  triton_mm_2131 0.3525 ms 82.1%
  triton_mm_2130 0.3809 ms 76.0%
  triton_mm_2132 0.3944 ms 73.4%
  triton_mm_2128 0.3954 ms 73.2%
SingleProcess AUTOTUNE benchmarking takes 9.8351 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0944 ms 100.0%
  triton_mm_2098 0.0996 ms 94.8%
  triton_mm_2097 0.1087 ms 86.9%
  triton_mm_2091 0.1213 ms 77.8%
  triton_mm_2096 0.1221 ms 77.3%
  triton_mm_2093 0.1236 ms 76.4%
  triton_mm_2089 0.1237 ms 76.3%
  triton_mm_2092 0.1286 ms 73.4%
  triton_mm_2094 0.1314 ms 71.9%
  triton_mm_2090 0.1343 ms 70.3%
SingleProcess AUTOTUNE benchmarking takes 9.9562 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0985 ms 100.0%
  triton_mm_2077 0.0997 ms 98.8%
  triton_mm_2078 0.1029 ms 95.7%
  triton_mm_2079 0.1095 ms 89.9%
  triton_mm_2070 0.1236 ms 79.7%
  triton_mm_2072 0.1251 ms 78.7%
  triton_mm_2071 0.1279 ms 77.0%
  triton_mm_2075 0.1376 ms 71.6%
  triton_mm_2074 0.1495 ms 65.9%
  triton_mm_2068 0.1653 ms 59.6%
SingleProcess AUTOTUNE benchmarking takes 10.9865 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2162 0.0211 ms 100.0%
  triton_mm_2165 0.0216 ms 98.0%
  triton_mm_2163 0.0216 ms 97.8%
  triton_mm_2169 0.0217 ms 97.5%
  triton_mm_2160 0.0220 ms 96.1%
  triton_mm_2159 0.0227 ms 93.0%
  triton_mm_2164 0.0228 ms 92.6%
  triton_mm_2161 0.0234 ms 90.2%
  triton_mm_2168 0.0240 ms 87.9%
  triton_mm_2170 0.0241 ms 87.8%
SingleProcess AUTOTUNE benchmarking takes 6.1051 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3576 ms 100.0%
  triton_mm_2206 0.3820 ms 93.6%
  triton_mm_2207 0.3904 ms 91.6%
  triton_mm_2208 0.4006 ms 89.3%
  triton_mm_2201 0.4788 ms 74.7%
  triton_mm_2203 0.4792 ms 74.6%
  triton_mm_2199 0.4814 ms 74.3%
  triton_mm_2202 0.5136 ms 69.6%
  triton_mm_2204 0.5251 ms 68.1%
  triton_mm_2200 0.5383 ms 66.4%
SingleProcess AUTOTUNE benchmarking takes 2.5580 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  triton_mm_2141 0.0324 ms 100.0%
  mm 0.0325 ms 99.6%
  triton_mm_2145 0.0360 ms 89.8%
  triton_mm_2149 0.0468 ms 69.2%
  triton_mm_2153 0.0588 ms 55.1%
  triton_mm_2140 0.0606 ms 53.4%
  triton_mm_2139 0.0650 ms 49.8%
  triton_mm_2144 0.0709 ms 45.6%
  triton_mm_2148 0.0716 ms 45.2%
  triton_mm_2138 0.0766 ms 42.2%
SingleProcess AUTOTUNE benchmarking takes 6.7817 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2187 0.3784 ms 100.0%
  mm 0.3824 ms 99.0%
  triton_mm_2188 0.3960 ms 95.6%
  triton_mm_2189 0.4281 ms 88.4%
  triton_mm_2180 0.4654 ms 81.3%
  triton_mm_2182 0.4684 ms 80.8%
  triton_mm_2184 0.4786 ms 79.1%
  triton_mm_2181 0.5011 ms 75.5%
  triton_mm_2185 0.5345 ms 70.8%
  triton_mm_2183 0.5435 ms 69.6%
SingleProcess AUTOTUNE benchmarking takes 2.5549 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3576 ms 100.0%
  triton_mm_2225 0.3664 ms 97.6%
  triton_mm_2226 0.3748 ms 95.4%
  triton_mm_2227 0.3843 ms 93.1%
  triton_mm_2220 0.4561 ms 78.4%
  triton_mm_2221 0.4686 ms 76.3%
  triton_mm_2222 0.4747 ms 75.3%
  triton_mm_2218 0.4807 ms 74.4%
  triton_mm_2219 0.5064 ms 70.6%
  triton_mm_2223 0.5223 ms 68.5%
SingleProcess AUTOTUNE benchmarking takes 2.5576 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2244 0.3758 ms 100.0%
  mm 0.3850 ms 97.6%
  triton_mm_2245 0.3876 ms 96.9%
  triton_mm_2246 0.4013 ms 93.6%
  triton_mm_2237 0.4684 ms 80.2%
  triton_mm_2239 0.4697 ms 80.0%
  triton_mm_2241 0.4718 ms 79.6%
  triton_mm_2240 0.5101 ms 73.7%
  triton_mm_2242 0.5273 ms 71.3%
  triton_mm_2238 0.5337 ms 70.4%
SingleProcess AUTOTUNE benchmarking takes 2.5598 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x3840, 3840x1280)
  mm 0.2694 ms 100.0%
  triton_mm_2301 0.2750 ms 98.0%
  triton_mm_2302 0.2824 ms 95.4%
  triton_mm_2303 0.2924 ms 92.1%
  triton_mm_2296 0.3439 ms 78.3%
  triton_mm_2297 0.3501 ms 77.0%
  triton_mm_2294 0.3634 ms 74.2%
  triton_mm_2298 0.3636 ms 74.1%
  triton_mm_2295 0.3781 ms 71.3%
  triton_mm_2299 0.3910 ms 68.9%
SingleProcess AUTOTUNE benchmarking takes 2.5297 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(3840x6864, 6864x1280)
  triton_mm_2320 0.2892 ms 100.0%
  mm 0.2925 ms 98.8%
  triton_mm_2321 0.2940 ms 98.4%
  triton_mm_2322 0.2997 ms 96.5%
  triton_mm_2313 0.3506 ms 82.5%
  triton_mm_2315 0.3525 ms 82.0%
  triton_mm_2317 0.3530 ms 81.9%
  triton_mm_2316 0.3812 ms 75.9%
  triton_mm_2318 0.3952 ms 73.2%
  triton_mm_2314 0.4006 ms 72.2%
SingleProcess AUTOTUNE benchmarking takes 2.5353 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0942 ms 100.0%
  triton_mm_2284 0.1003 ms 93.9%
  triton_mm_2283 0.1088 ms 86.6%
  triton_mm_2277 0.1205 ms 78.1%
  triton_mm_2282 0.1228 ms 76.7%
  triton_mm_2279 0.1236 ms 76.2%
  triton_mm_2275 0.1246 ms 75.6%
  triton_mm_2278 0.1277 ms 73.7%
  triton_mm_2280 0.1313 ms 71.7%
  triton_mm_2276 0.1342 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 2.4273 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2351 0.0206 ms 100.0%
  triton_mm_2349 0.0207 ms 99.8%
  triton_mm_2348 0.0210 ms 98.5%
  triton_mm_2355 0.0217 ms 95.3%
  triton_mm_2352 0.0217 ms 95.0%
  triton_mm_2345 0.0218 ms 94.7%
  triton_mm_2346 0.0220 ms 93.9%
  triton_mm_2350 0.0220 ms 93.6%
  triton_mm_2353 0.0232 ms 89.1%
  triton_mm_2347 0.0235 ms 88.0%
SingleProcess AUTOTUNE benchmarking takes 2.1236 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  mm 0.0324 ms 100.0%
  triton_mm_2327 0.0333 ms 97.2%
  triton_mm_2331 0.0349 ms 92.8%
  triton_mm_2335 0.0457 ms 70.9%
  triton_mm_2339 0.0583 ms 55.6%
  triton_mm_2326 0.0613 ms 52.8%
  triton_mm_2325 0.0651 ms 49.8%
  triton_mm_2330 0.0708 ms 45.7%
  triton_mm_2334 0.0717 ms 45.2%
  triton_mm_2324 0.0773 ms 41.9%
SingleProcess AUTOTUNE benchmarking takes 2.0893 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2373 0.3789 ms 100.0%
  mm 0.3824 ms 99.1%
  triton_mm_2374 0.3968 ms 95.5%
  triton_mm_2375 0.4295 ms 88.2%
  triton_mm_2366 0.4644 ms 81.6%
  triton_mm_2368 0.4677 ms 81.0%
  triton_mm_2370 0.4797 ms 79.0%
  triton_mm_2367 0.4995 ms 75.9%
  triton_mm_2371 0.5341 ms 70.9%
  triton_mm_2369 0.5478 ms 69.2%
SingleProcess AUTOTUNE benchmarking takes 2.5511 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3550 ms 100.0%
  triton_mm_2411 0.3673 ms 96.6%
  triton_mm_2412 0.3732 ms 95.1%
  triton_mm_2413 0.3848 ms 92.3%
  triton_mm_2406 0.4558 ms 77.9%
  triton_mm_2407 0.4698 ms 75.6%
  triton_mm_2408 0.4758 ms 74.6%
  triton_mm_2404 0.4826 ms 73.6%
  triton_mm_2405 0.5039 ms 70.4%
  triton_mm_2409 0.5230 ms 67.9%
SingleProcess AUTOTUNE benchmarking takes 2.5586 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2430 0.3757 ms 100.0%
  mm 0.3851 ms 97.6%
  triton_mm_2431 0.3874 ms 97.0%
  triton_mm_2432 0.4014 ms 93.6%
  triton_mm_2423 0.4695 ms 80.0%
  triton_mm_2425 0.4696 ms 80.0%
  triton_mm_2427 0.4755 ms 79.0%
  triton_mm_2426 0.5098 ms 73.7%
  triton_mm_2428 0.5272 ms 71.3%
  triton_mm_2424 0.5355 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 2.5579 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2538 0.0205 ms 100.0%
  triton_mm_2535 0.0206 ms 99.8%
  triton_mm_2534 0.0211 ms 97.4%
  triton_mm_2537 0.0216 ms 95.3%
  triton_mm_2531 0.0218 ms 94.1%
  triton_mm_2532 0.0220 ms 93.4%
  triton_mm_2539 0.0220 ms 93.2%
  triton_mm_2541 0.0227 ms 90.6%
  triton_mm_2536 0.0228 ms 90.2%
  triton_mm_2542 0.0231 ms 88.9%
SingleProcess AUTOTUNE benchmarking takes 2.1302 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  mm 0.0323 ms 100.0%
  triton_mm_2513 0.0334 ms 96.9%
  triton_mm_2517 0.0349 ms 92.7%
  triton_mm_2521 0.0457 ms 70.7%
  triton_mm_2525 0.0593 ms 54.5%
  triton_mm_2512 0.0612 ms 52.8%
  triton_mm_2511 0.0651 ms 49.7%
  triton_mm_2516 0.0708 ms 45.6%
  triton_mm_2520 0.0716 ms 45.2%
  triton_mm_2510 0.0773 ms 41.8%
SingleProcess AUTOTUNE benchmarking takes 2.0819 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2559 0.3805 ms 100.0%
  mm 0.3825 ms 99.5%
  triton_mm_2560 0.3979 ms 95.6%
  triton_mm_2561 0.4284 ms 88.8%
  triton_mm_2552 0.4656 ms 81.7%
  triton_mm_2554 0.4673 ms 81.4%
  triton_mm_2556 0.4815 ms 79.0%
  triton_mm_2553 0.5004 ms 76.1%
  triton_mm_2557 0.5349 ms 71.1%
  triton_mm_2555 0.5489 ms 69.3%
SingleProcess AUTOTUNE benchmarking takes 2.5614 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3583 ms 100.0%
  triton_mm_2597 0.3675 ms 97.5%
  triton_mm_2598 0.3733 ms 96.0%
  triton_mm_2599 0.3852 ms 93.0%
  triton_mm_2592 0.4578 ms 78.3%
  triton_mm_2593 0.4689 ms 76.4%
  triton_mm_2594 0.4731 ms 75.7%
  triton_mm_2590 0.4806 ms 74.5%
  triton_mm_2591 0.5069 ms 70.7%
  triton_mm_2595 0.5211 ms 68.7%
SingleProcess AUTOTUNE benchmarking takes 2.5697 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2616 0.3744 ms 100.0%
  mm 0.3861 ms 97.0%
  triton_mm_2617 0.3872 ms 96.7%
  triton_mm_2618 0.4031 ms 92.9%
  triton_mm_2609 0.4687 ms 79.9%
  triton_mm_2611 0.4716 ms 79.4%
  triton_mm_2613 0.4732 ms 79.1%
  triton_mm_2612 0.5102 ms 73.4%
  triton_mm_2614 0.5284 ms 70.9%
  triton_mm_2610 0.5348 ms 70.0%
SingleProcess AUTOTUNE benchmarking takes 2.5655 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2720 0.0210 ms 100.0%
  triton_mm_2723 0.0216 ms 97.4%
  triton_mm_2721 0.0216 ms 97.3%
  triton_mm_2724 0.0216 ms 97.2%
  triton_mm_2727 0.0217 ms 96.9%
  triton_mm_2718 0.0220 ms 95.8%
  triton_mm_2722 0.0220 ms 95.4%
  triton_mm_2719 0.0226 ms 93.2%
  triton_mm_2717 0.0226 ms 93.0%
  triton_mm_2728 0.0231 ms 91.1%
SingleProcess AUTOTUNE benchmarking takes 2.1382 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  mm 0.0322 ms 100.0%
  triton_mm_2699 0.0324 ms 99.6%
  triton_mm_2703 0.0360 ms 89.6%
  triton_mm_2707 0.0467 ms 69.0%
  triton_mm_2711 0.0583 ms 55.3%
  triton_mm_2698 0.0606 ms 53.2%
  triton_mm_2697 0.0657 ms 49.0%
  triton_mm_2702 0.0702 ms 45.9%
  triton_mm_2706 0.0723 ms 44.6%
  triton_mm_2696 0.0772 ms 41.7%
SingleProcess AUTOTUNE benchmarking takes 2.0951 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2745 0.3792 ms 100.0%
  mm 0.3812 ms 99.5%
  triton_mm_2746 0.3952 ms 96.0%
  triton_mm_2747 0.4284 ms 88.5%
  triton_mm_2738 0.4647 ms 81.6%
  triton_mm_2740 0.4671 ms 81.2%
  triton_mm_2742 0.4800 ms 79.0%
  triton_mm_2739 0.4997 ms 75.9%
  triton_mm_2743 0.5353 ms 70.8%
  triton_mm_2741 0.5459 ms 69.5%
SingleProcess AUTOTUNE benchmarking takes 2.5624 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3570 ms 100.0%
  triton_mm_2783 0.3653 ms 97.7%
  triton_mm_2784 0.3745 ms 95.3%
  triton_mm_2785 0.3856 ms 92.6%
  triton_mm_2778 0.4564 ms 78.2%
  triton_mm_2779 0.4684 ms 76.2%
  triton_mm_2780 0.4700 ms 76.0%
  triton_mm_2776 0.4807 ms 74.3%
  triton_mm_2777 0.5069 ms 70.4%
  triton_mm_2781 0.5219 ms 68.4%
SingleProcess AUTOTUNE benchmarking takes 2.5693 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2802 0.3752 ms 100.0%
  mm 0.3843 ms 97.6%
  triton_mm_2803 0.3870 ms 97.0%
  triton_mm_2804 0.4020 ms 93.3%
  triton_mm_2795 0.4683 ms 80.1%
  triton_mm_2797 0.4695 ms 79.9%
  triton_mm_2799 0.4740 ms 79.2%
  triton_mm_2798 0.5095 ms 73.7%
  triton_mm_2800 0.5269 ms 71.2%
  triton_mm_2796 0.5350 ms 70.1%
SingleProcess AUTOTUNE benchmarking takes 2.5649 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2910 0.0206 ms 100.0%
  triton_mm_2909 0.0206 ms 99.8%
  triton_mm_2904 0.0212 ms 97.3%
  triton_mm_2907 0.0216 ms 95.2%
  triton_mm_2906 0.0220 ms 93.6%
  triton_mm_2908 0.0220 ms 93.3%
  triton_mm_2911 0.0221 ms 93.1%
  triton_mm_2903 0.0227 ms 90.6%
  triton_mm_2913 0.0227 ms 90.6%
  triton_mm_2905 0.0234 ms 88.1%
SingleProcess AUTOTUNE benchmarking takes 2.1581 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  mm 0.0324 ms 100.0%
  triton_mm_2885 0.0335 ms 96.9%
  triton_mm_2889 0.0349 ms 93.0%
  triton_mm_2893 0.0468 ms 69.3%
  triton_mm_2897 0.0593 ms 54.7%
  triton_mm_2884 0.0612 ms 53.0%
  triton_mm_2883 0.0650 ms 49.9%
  triton_mm_2888 0.0709 ms 45.8%
  triton_mm_2892 0.0724 ms 44.8%
  triton_mm_2882 0.0766 ms 42.4%
SingleProcess AUTOTUNE benchmarking takes 2.1014 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2931 0.3790 ms 100.0%
  mm 0.3836 ms 98.8%
  triton_mm_2932 0.3974 ms 95.4%
  triton_mm_2933 0.4289 ms 88.4%
  triton_mm_2924 0.4652 ms 81.5%
  triton_mm_2926 0.4676 ms 81.0%
  triton_mm_2928 0.4805 ms 78.9%
  triton_mm_2925 0.5014 ms 75.6%
  triton_mm_2929 0.5351 ms 70.8%
  triton_mm_2927 0.5486 ms 69.1%
SingleProcess AUTOTUNE benchmarking takes 2.5617 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3579 ms 100.0%
  triton_mm_2969 0.3674 ms 97.4%
  triton_mm_2970 0.3747 ms 95.5%
  triton_mm_2971 0.3853 ms 92.9%
  triton_mm_2964 0.4581 ms 78.1%
  triton_mm_2965 0.4691 ms 76.3%
  triton_mm_2966 0.4751 ms 75.3%
  triton_mm_2962 0.4820 ms 74.3%
  triton_mm_2963 0.5067 ms 70.6%
  triton_mm_2967 0.5228 ms 68.5%
SingleProcess AUTOTUNE benchmarking takes 2.5684 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2988 0.3766 ms 100.0%
  mm 0.3862 ms 97.5%
  triton_mm_2989 0.3890 ms 96.8%
  triton_mm_2990 0.4021 ms 93.7%
  triton_mm_2981 0.4693 ms 80.2%
  triton_mm_2983 0.4703 ms 80.1%
  triton_mm_2985 0.4759 ms 79.1%
  triton_mm_2984 0.5111 ms 73.7%
  triton_mm_2986 0.5272 ms 71.4%
  triton_mm_2982 0.5362 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 2.5603 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6840, 6840x32)
  mm 0.0318 ms 100.0%
  triton_mm_5709 0.0444 ms 71.6%
  triton_mm_5716 0.0453 ms 70.1%
  triton_mm_5707 0.0569 ms 55.8%
  triton_mm_5708 0.0639 ms 49.7%
  triton_mm_5715 0.0660 ms 48.1%
  triton_mm_5706 0.0684 ms 46.4%
  triton_mm_5721 0.0690 ms 46.0%
  triton_mm_5712 0.0701 ms 45.3%
  triton_mm_5720 0.0751 ms 42.3%
SingleProcess AUTOTUNE benchmarking takes 6.6581 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/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/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x28, 28x1280)
  triton_mm_7 0.0295 ms 100.0%
  triton_mm_12 0.0303 ms 97.5%
  triton_mm_6 0.0308 ms 95.8%
  triton_mm_8 0.0308 ms 95.7%
  triton_mm_9 0.0312 ms 94.6%
  triton_mm_11 0.0312 ms 94.5%
  triton_mm_4 0.0319 ms 92.4%
  triton_mm_2 0.0326 ms 90.4%
  triton_mm_3 0.0332 ms 89.0%
  triton_mm_15 0.0332 ms 88.8%
SingleProcess AUTOTUNE benchmarking takes 2.1079 seconds and 0.0113 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_33 0.0276 ms 100.0%
  triton_mm_29 0.0285 ms 96.9%
  triton_mm_28 0.0290 ms 95.0%
  triton_mm_18 0.0291 ms 94.9%
  triton_mm_24 0.0295 ms 93.5%
  bias_addmm 0.0296 ms 93.1%
  triton_mm_25 0.0302 ms 91.4%
  triton_mm_21 0.0316 ms 87.2%
  triton_mm_20 0.0338 ms 81.7%
  triton_mm_19 0.0339 ms 81.5%
SingleProcess AUTOTUNE benchmarking takes 2.2091 seconds and 0.0009 seconds precompiling
AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840)
  triton_mm_51 0.3003 ms 100.0%
  triton_mm_50 0.3004 ms 99.9%
  bias_addmm 0.3383 ms 88.8%
  triton_mm_52 0.3386 ms 88.7%
  triton_mm_45 0.3505 ms 85.7%
  triton_mm_43 0.3716 ms 80.8%
  triton_mm_47 0.3746 ms 80.2%
  triton_mm_44 0.4133 ms 72.6%
  addmm 0.4230 ms 71.0%
  triton_mm_48 0.4253 ms 70.6%
SingleProcess AUTOTUNE benchmarking takes 2.6241 seconds and 0.0292 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280)
  triton_mm_70 0.1043 ms 100.0%
  triton_mm_69 0.1066 ms 97.8%
  triton_mm_71 0.1157 ms 90.1%
  bias_addmm 0.1188 ms 87.8%
  triton_mm_64 0.1234 ms 84.5%
  addmm 0.1284 ms 81.3%
  triton_mm_66 0.1300 ms 80.3%
  triton_mm_62 0.1302 ms 80.1%
  triton_mm_63 0.1452 ms 71.8%
  triton_mm_67 0.1479 ms 70.5%
SingleProcess AUTOTUNE benchmarking takes 2.5425 seconds and 0.0010 seconds precompiling
AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120)
  triton_mm_89 0.4019 ms 100.0%
  triton_mm_88 0.4080 ms 98.5%
  triton_mm_90 0.4513 ms 89.1%
  triton_mm_83 0.4675 ms 86.0%
  triton_mm_81 0.4990 ms 80.6%
  triton_mm_85 0.5072 ms 79.3%
  triton_mm_82 0.5590 ms 71.9%
  triton_mm_84 0.5643 ms 71.2%
  triton_mm_86 0.5757 ms 69.8%
  addmm 0.6040 ms 66.5%
SingleProcess AUTOTUNE benchmarking takes 2.6903 seconds and 1.0299 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_108 0.3679 ms 100.0%
  triton_mm_107 0.3873 ms 95.0%
  triton_mm_109 0.3931 ms 93.6%
  addmm 0.3940 ms 93.4%
  bias_addmm 0.4378 ms 84.0%
  triton_mm_102 0.4647 ms 79.2%
  triton_mm_103 0.4823 ms 76.3%
  triton_mm_100 0.4849 ms 75.9%
  triton_mm_104 0.4849 ms 75.9%
  triton_mm_105 0.5393 ms 68.2%
SingleProcess AUTOTUNE benchmarking takes 2.6937 seconds and 0.2466 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_201 0.3689 ms 100.0%
  triton_mm_200 0.3887 ms 94.9%
  triton_mm_202 0.3929 ms 93.9%
  addmm 0.4300 ms 85.8%
  bias_addmm 0.4383 ms 84.2%
  triton_mm_195 0.4637 ms 79.6%
  triton_mm_196 0.4824 ms 76.5%
  triton_mm_193 0.4857 ms 76.0%
  triton_mm_197 0.4859 ms 75.9%
  triton_mm_198 0.5390 ms 68.4%
SingleProcess AUTOTUNE benchmarking takes 2.6822 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_294 0.3701 ms 100.0%
  triton_mm_293 0.3879 ms 95.4%
  triton_mm_295 0.3925 ms 94.3%
  addmm 0.4292 ms 86.2%
  bias_addmm 0.4382 ms 84.5%
  triton_mm_288 0.4639 ms 79.8%
  triton_mm_289 0.4825 ms 76.7%
  triton_mm_286 0.4840 ms 76.5%
  triton_mm_290 0.4844 ms 76.4%
  triton_mm_291 0.5392 ms 68.6%
SingleProcess AUTOTUNE benchmarking takes 2.6855 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_387 0.3684 ms 100.0%
  triton_mm_386 0.3875 ms 95.1%
  triton_mm_388 0.3914 ms 94.1%
  addmm 0.3924 ms 93.9%
  bias_addmm 0.4381 ms 84.1%
  triton_mm_381 0.4638 ms 79.4%
  triton_mm_382 0.4813 ms 76.5%
  triton_mm_383 0.4838 ms 76.1%
  triton_mm_379 0.4839 ms 76.1%
  triton_mm_384 0.5399 ms 68.2%
SingleProcess AUTOTUNE benchmarking takes 2.6805 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_480 0.3693 ms 100.0%
  triton_mm_479 0.3878 ms 95.2%
  triton_mm_481 0.3926 ms 94.1%
  addmm 0.4297 ms 86.0%
  bias_addmm 0.4374 ms 84.4%
  triton_mm_474 0.4635 ms 79.7%
  triton_mm_475 0.4815 ms 76.7%
  triton_mm_472 0.4847 ms 76.2%
  triton_mm_476 0.4856 ms 76.1%
  triton_mm_477 0.5401 ms 68.4%
SingleProcess AUTOTUNE benchmarking takes 2.6837 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_573 0.3684 ms 100.0%
  triton_mm_572 0.3883 ms 94.9%
  addmm 0.3900 ms 94.5%
  triton_mm_574 0.3918 ms 94.0%
  bias_addmm 0.4382 ms 84.1%
  triton_mm_567 0.4632 ms 79.5%
  triton_mm_568 0.4817 ms 76.5%
  triton_mm_565 0.4842 ms 76.1%
  triton_mm_569 0.4853 ms 75.9%
  triton_mm_570 0.5383 ms 68.4%
SingleProcess AUTOTUNE benchmarking takes 2.6976 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_666 0.3683 ms 100.0%
  triton_mm_665 0.3873 ms 95.1%
  triton_mm_667 0.3912 ms 94.2%
  addmm 0.4298 ms 85.7%
  bias_addmm 0.4373 ms 84.2%
  triton_mm_660 0.4627 ms 79.6%
  triton_mm_661 0.4802 ms 76.7%
  triton_mm_662 0.4836 ms 76.2%
  triton_mm_658 0.4846 ms 76.0%
  triton_mm_663 0.5396 ms 68.3%
SingleProcess AUTOTUNE benchmarking takes 2.6918 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1280, 1280x2560)
  triton_mm_1885 0.0146 ms 100.0%
  triton_mm_1881 0.0154 ms 95.0%
  triton_mm_1893 0.0182 ms 80.0%
  triton_mm_1880 0.0188 ms 77.4%
  triton_mm_1878 0.0189 ms 77.2%
  triton_mm_1884 0.0193 ms 75.7%
  triton_mm_1889 0.0195 ms 75.0%
  triton_mm_1879 0.0204 ms 71.5%
  triton_mm_1888 0.0221 ms 66.1%
  triton_mm_1891 0.0222 ms 65.8%
SingleProcess AUTOTUNE benchmarking takes 7.7907 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768)
  bias_addmm 2.5206 ms 100.0%
  triton_mm_1911 2.5364 ms 99.4%
  triton_mm_1910 2.5721 ms 98.0%
  triton_mm_1912 2.8331 ms 89.0%
  triton_mm_1905 3.0300 ms 83.2%
  triton_mm_1907 3.2287 ms 78.1%
  addmm 3.2922 ms 76.6%
  triton_mm_1903 3.3456 ms 75.3%
  triton_mm_1908 3.6225 ms 69.6%
  triton_mm_1904 3.6398 ms 69.3%
SingleProcess AUTOTUNE benchmarking takes 12.2996 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(32768x6864, 6864x1280)
  triton_mm_1948 2.3038 ms 100.0%
  triton_mm_1949 2.3502 ms 98.0%
  mm 2.4179 ms 95.3%
  triton_mm_1950 2.4680 ms 93.3%
  triton_mm_1943 2.9236 ms 78.8%
  triton_mm_1941 2.9731 ms 77.5%
  triton_mm_1945 3.0588 ms 75.3%
  triton_mm_1944 3.0878 ms 74.6%
  triton_mm_1946 3.2057 ms 71.9%
  triton_mm_1942 3.2620 ms 70.6%
SingleProcess AUTOTUNE benchmarking takes 10.1403 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3550 ms 100.0%
  triton_mm_2020 0.3831 ms 92.7%
  triton_mm_2021 0.3911 ms 90.8%
  triton_mm_2022 0.4015 ms 88.4%
  triton_mm_2015 0.4785 ms 74.2%
  triton_mm_2017 0.4837 ms 73.4%
  triton_mm_2013 0.4875 ms 72.8%
  triton_mm_2016 0.5157 ms 68.8%
  triton_mm_2018 0.5250 ms 67.6%
  triton_mm_2014 0.5396 ms 65.8%
SingleProcess AUTOTUNE benchmarking takes 2.5686 seconds and 0.0010 seconds precompiling
AUTOTUNE mm(2560x24, 24x1280)
  triton_mm_1973 0.0127 ms 100.0%
  triton_mm_1979 0.0127 ms 100.0%
  triton_mm_1983 0.0134 ms 94.8%
  triton_mm_1977 0.0135 ms 94.5%
  triton_mm_1972 0.0136 ms 93.6%
  triton_mm_1975 0.0137 ms 93.0%
  triton_mm_1981 0.0137 ms 93.0%
  triton_mm_1974 0.0138 ms 92.5%
  triton_mm_1976 0.0138 ms 92.3%
  triton_mm_1970 0.0139 ms 91.9%
SingleProcess AUTOTUNE benchmarking takes 5.9364 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2560, 2560x1280)
  triton_mm_1959 0.0179 ms 100.0%
  triton_mm_1955 0.0180 ms 99.2%
  mm 0.0193 ms 92.9%
  triton_mm_1963 0.0221 ms 80.8%
  triton_mm_1954 0.0253 ms 70.7%
  triton_mm_1967 0.0260 ms 68.8%
  triton_mm_1953 0.0265 ms 67.5%
  triton_mm_1958 0.0283 ms 63.3%
  triton_mm_1962 0.0295 ms 60.6%
  triton_mm_1952 0.0299 ms 59.9%
SingleProcess AUTOTUNE benchmarking takes 7.2250 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x32768, 32768x1280)
  triton_mm_1929 2.3255 ms 100.0%
  mm 2.3256 ms 100.0%
  triton_mm_1930 2.3268 ms 99.9%
  triton_mm_1931 2.3977 ms 97.0%
  triton_mm_1925 3.0182 ms 77.0%
  triton_mm_1924 3.1351 ms 74.2%
  triton_mm_1922 3.2072 ms 72.5%
  triton_mm_1923 3.2127 ms 72.4%
  triton_mm_1927 3.2615 ms 71.3%
  triton_mm_1926 3.4110 ms 68.2%
SingleProcess AUTOTUNE benchmarking takes 10.4164 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2001 0.3762 ms 100.0%
  mm 0.3814 ms 98.6%
  triton_mm_2002 0.3911 ms 96.2%
  triton_mm_2003 0.4237 ms 88.8%
  triton_mm_1994 0.4605 ms 81.7%
  triton_mm_1996 0.4634 ms 81.2%
  triton_mm_1998 0.4737 ms 79.4%
  triton_mm_1995 0.4915 ms 76.5%
  triton_mm_1999 0.5276 ms 71.3%
  triton_mm_1997 0.5383 ms 69.9%
SingleProcess AUTOTUNE benchmarking takes 11.3989 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3530 ms 100.0%
  triton_mm_2039 0.3630 ms 97.2%
  triton_mm_2040 0.3693 ms 95.6%
  triton_mm_2041 0.3811 ms 92.6%
  triton_mm_2034 0.4569 ms 77.3%
  triton_mm_2035 0.4644 ms 76.0%
  triton_mm_2032 0.4750 ms 74.3%
  triton_mm_2036 0.4769 ms 74.0%
  triton_mm_2033 0.4997 ms 70.6%
  triton_mm_2037 0.5157 ms 68.4%
SingleProcess AUTOTUNE benchmarking takes 9.8973 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2058 0.3710 ms 100.0%
  mm 0.3828 ms 96.9%
  triton_mm_2059 0.3832 ms 96.8%
  triton_mm_2060 0.3968 ms 93.5%
  triton_mm_2053 0.4643 ms 79.9%
  triton_mm_2051 0.4725 ms 78.5%
  triton_mm_2055 0.4737 ms 78.3%
  triton_mm_2054 0.5031 ms 73.7%
  triton_mm_2056 0.5200 ms 71.4%
  triton_mm_2052 0.5290 ms 70.1%
SingleProcess AUTOTUNE benchmarking takes 10.4143 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x3840, 3840x1280)
  triton_mm_2115 0.2754 ms 100.0%
  triton_mm_2116 0.2827 ms 97.4%
  triton_mm_2117 0.2935 ms 93.8%
  mm 0.3016 ms 91.3%
  triton_mm_2110 0.3464 ms 79.5%
  triton_mm_2111 0.3537 ms 77.9%
  triton_mm_2108 0.3603 ms 76.4%
  triton_mm_2112 0.3639 ms 75.7%
  triton_mm_2109 0.3784 ms 72.8%
  triton_mm_2113 0.3913 ms 70.4%
SingleProcess AUTOTUNE benchmarking takes 2.5198 seconds and 0.0010 seconds precompiling
AUTOTUNE mm(3840x6864, 6864x1280)
  triton_mm_2134 0.2896 ms 100.0%
  mm 0.2911 ms 99.5%
  triton_mm_2135 0.2931 ms 98.8%
  triton_mm_2136 0.2994 ms 96.7%
  triton_mm_2127 0.3473 ms 83.4%
  triton_mm_2129 0.3485 ms 83.1%
  triton_mm_2131 0.3531 ms 82.0%
  triton_mm_2130 0.3808 ms 76.0%
  triton_mm_2132 0.3943 ms 73.4%
  triton_mm_2128 0.3965 ms 73.0%
SingleProcess AUTOTUNE benchmarking takes 10.1423 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0939 ms 100.0%
  triton_mm_2098 0.0991 ms 94.7%
  triton_mm_2097 0.1081 ms 86.9%
  triton_mm_2091 0.1214 ms 77.3%
  triton_mm_2096 0.1215 ms 77.3%
  triton_mm_2093 0.1236 ms 76.0%
  triton_mm_2089 0.1244 ms 75.4%
  triton_mm_2092 0.1279 ms 73.4%
  triton_mm_2094 0.1309 ms 71.7%
  triton_mm_2090 0.1336 ms 70.3%
SingleProcess AUTOTUNE benchmarking takes 9.9823 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0976 ms 100.0%
  triton_mm_2077 0.0995 ms 98.1%
  triton_mm_2078 0.1033 ms 94.4%
  triton_mm_2079 0.1091 ms 89.4%
  triton_mm_2070 0.1231 ms 79.3%
  triton_mm_2074 0.1244 ms 78.4%
  triton_mm_2072 0.1245 ms 78.3%
  triton_mm_2071 0.1282 ms 76.1%
  triton_mm_2075 0.1367 ms 71.4%
  triton_mm_2073 0.1459 ms 66.8%
SingleProcess AUTOTUNE benchmarking takes 2.4563 seconds and 0.0011 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2166 0.0204 ms 100.0%
  triton_mm_2165 0.0206 ms 99.4%
  triton_mm_2160 0.0209 ms 98.0%
  triton_mm_2162 0.0209 ms 98.0%
  triton_mm_2163 0.0215 ms 94.9%
  triton_mm_2169 0.0217 ms 94.4%
  triton_mm_2159 0.0218 ms 94.0%
  triton_mm_2161 0.0223 ms 91.7%
  triton_mm_2164 0.0227 ms 90.1%
  triton_mm_2167 0.0227 ms 90.0%
SingleProcess AUTOTUNE benchmarking takes 6.0272 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3579 ms 100.0%
  triton_mm_2206 0.3836 ms 93.3%
  triton_mm_2207 0.3918 ms 91.3%
  triton_mm_2208 0.4040 ms 88.6%
  triton_mm_2201 0.4810 ms 74.4%
  triton_mm_2199 0.4839 ms 74.0%
  triton_mm_2203 0.4846 ms 73.9%
  triton_mm_2202 0.5146 ms 69.5%
  triton_mm_2204 0.5280 ms 67.8%
  triton_mm_2200 0.5402 ms 66.3%
SingleProcess AUTOTUNE benchmarking takes 2.5680 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  triton_mm_2141 0.0325 ms 100.0%
  mm 0.0325 ms 99.9%
  triton_mm_2145 0.0348 ms 93.5%
  triton_mm_2149 0.0466 ms 69.7%
  triton_mm_2153 0.0592 ms 54.9%
  triton_mm_2140 0.0608 ms 53.4%
  triton_mm_2139 0.0650 ms 50.0%
  triton_mm_2144 0.0709 ms 45.8%
  triton_mm_2148 0.0716 ms 45.4%
  triton_mm_2138 0.0772 ms 42.0%
SingleProcess AUTOTUNE benchmarking takes 6.8738 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  mm 0.3787 ms 100.0%
  triton_mm_2187 0.3815 ms 99.3%
  triton_mm_2188 0.3988 ms 95.0%
  triton_mm_2189 0.4306 ms 87.9%
  triton_mm_2180 0.4630 ms 81.8%
  triton_mm_2182 0.4685 ms 80.8%
  triton_mm_2184 0.4803 ms 78.8%
  triton_mm_2181 0.4985 ms 76.0%
  triton_mm_2185 0.5384 ms 70.3%
  triton_mm_2183 0.5476 ms 69.2%
SingleProcess AUTOTUNE benchmarking takes 2.5662 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3551 ms 100.0%
  triton_mm_2225 0.3672 ms 96.7%
  triton_mm_2226 0.3752 ms 94.6%
  triton_mm_2227 0.3882 ms 91.5%
  triton_mm_2220 0.4599 ms 77.2%
  triton_mm_2221 0.4724 ms 75.2%
  triton_mm_2218 0.4811 ms 73.8%
  triton_mm_2222 0.4836 ms 73.4%
  triton_mm_2219 0.5073 ms 70.0%
  triton_mm_2223 0.5243 ms 67.7%
SingleProcess AUTOTUNE benchmarking takes 2.5671 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x3840, 3840x1280)
  mm 0.2677 ms 100.0%
  triton_mm_2301 0.2772 ms 96.6%
  triton_mm_2302 0.2840 ms 94.2%
  triton_mm_2303 0.2934 ms 91.3%
  triton_mm_2296 0.3478 ms 77.0%
  triton_mm_2297 0.3554 ms 75.3%
  triton_mm_2294 0.3627 ms 73.8%
  triton_mm_2298 0.3655 ms 73.2%
  triton_mm_2295 0.3814 ms 70.2%
  triton_mm_2299 0.3934 ms 68.1%
SingleProcess AUTOTUNE benchmarking takes 2.5359 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(3840x6864, 6864x1280)
  triton_mm_2320 0.2903 ms 100.0%
  mm 0.2935 ms 98.9%
  triton_mm_2321 0.2958 ms 98.1%
  triton_mm_2322 0.3029 ms 95.8%
  triton_mm_2315 0.3540 ms 82.0%
  triton_mm_2313 0.3556 ms 81.7%
  triton_mm_2317 0.3576 ms 81.2%
  triton_mm_2316 0.3843 ms 75.5%
  triton_mm_2318 0.3962 ms 73.3%
  triton_mm_2314 0.4021 ms 72.2%
SingleProcess AUTOTUNE benchmarking takes 2.5467 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0937 ms 100.0%
  triton_mm_2284 0.1006 ms 93.1%
  triton_mm_2283 0.1090 ms 86.0%
  triton_mm_2277 0.1219 ms 76.9%
  triton_mm_2282 0.1221 ms 76.7%
  triton_mm_2279 0.1244 ms 75.3%
  triton_mm_2275 0.1251 ms 74.9%
  triton_mm_2278 0.1283 ms 73.0%
  triton_mm_2280 0.1313 ms 71.4%
  triton_mm_2276 0.1341 ms 69.9%
SingleProcess AUTOTUNE benchmarking takes 2.4418 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0979 ms 100.0%
  triton_mm_2263 0.1004 ms 97.5%
  triton_mm_2264 0.1035 ms 94.6%
  triton_mm_2265 0.1093 ms 89.6%
  triton_mm_2256 0.1247 ms 78.5%
  triton_mm_2258 0.1248 ms 78.5%
  triton_mm_2260 0.1253 ms 78.1%
  triton_mm_2257 0.1291 ms 75.8%
  triton_mm_2261 0.1381 ms 70.9%
  triton_mm_2259 0.1453 ms 67.4%
SingleProcess AUTOTUNE benchmarking takes 2.4479 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2351 0.0206 ms 100.0%
  triton_mm_2348 0.0209 ms 98.8%
  triton_mm_2349 0.0215 ms 95.8%
  triton_mm_2352 0.0216 ms 95.4%
  triton_mm_2355 0.0217 ms 95.1%
  triton_mm_2345 0.0217 ms 94.8%
  triton_mm_2346 0.0219 ms 94.0%
  triton_mm_2350 0.0227 ms 91.0%
  triton_mm_2356 0.0229 ms 90.1%
  triton_mm_2353 0.0231 ms 89.2%
SingleProcess AUTOTUNE benchmarking takes 2.1341 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3559 ms 100.0%
  triton_mm_2392 0.3847 ms 92.5%
  triton_mm_2393 0.3924 ms 90.7%
  triton_mm_2394 0.4032 ms 88.3%
  triton_mm_2387 0.4825 ms 73.8%
  triton_mm_2389 0.4853 ms 73.3%
  triton_mm_2385 0.4882 ms 72.9%
  triton_mm_2388 0.5158 ms 69.0%
  triton_mm_2390 0.5277 ms 67.5%
  triton_mm_2386 0.5420 ms 65.7%
SingleProcess AUTOTUNE benchmarking takes 2.5723 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  mm 0.0325 ms 100.0%
  triton_mm_2327 0.0334 ms 97.4%
  triton_mm_2331 0.0348 ms 93.6%
  triton_mm_2335 0.0467 ms 69.8%
  triton_mm_2339 0.0580 ms 56.1%
  triton_mm_2326 0.0613 ms 53.1%
  triton_mm_2325 0.0650 ms 50.1%
  triton_mm_2330 0.0702 ms 46.4%
  triton_mm_2334 0.0716 ms 45.4%
  triton_mm_2324 0.0765 ms 42.6%
SingleProcess AUTOTUNE benchmarking takes 2.0976 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  mm 0.3802 ms 100.0%
  triton_mm_2373 0.3814 ms 99.7%
  triton_mm_2374 0.4001 ms 95.0%
  triton_mm_2375 0.4326 ms 87.9%
  triton_mm_2366 0.4663 ms 81.5%
  triton_mm_2368 0.4710 ms 80.7%
  triton_mm_2370 0.4851 ms 78.4%
  triton_mm_2367 0.5000 ms 76.0%
  triton_mm_2371 0.5380 ms 70.7%
  triton_mm_2369 0.5477 ms 69.4%
SingleProcess AUTOTUNE benchmarking takes 2.5613 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3555 ms 100.0%
  triton_mm_2411 0.3681 ms 96.6%
  triton_mm_2412 0.3748 ms 94.8%
  triton_mm_2413 0.3872 ms 91.8%
  triton_mm_2406 0.4610 ms 77.1%
  triton_mm_2407 0.4729 ms 75.2%
  triton_mm_2404 0.4826 ms 73.7%
  triton_mm_2408 0.4843 ms 73.4%
  triton_mm_2405 0.5081 ms 70.0%
  triton_mm_2409 0.5252 ms 67.7%
SingleProcess AUTOTUNE benchmarking takes 2.5680 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0984 ms 100.0%
  triton_mm_2449 0.0996 ms 98.7%
  triton_mm_2450 0.1028 ms 95.7%
  triton_mm_2451 0.1101 ms 89.4%
  triton_mm_2442 0.1242 ms 79.3%
  triton_mm_2444 0.1243 ms 79.2%
  triton_mm_2446 0.1246 ms 79.0%
  triton_mm_2443 0.1286 ms 76.5%
  triton_mm_2447 0.1375 ms 71.5%
  triton_mm_2445 0.1448 ms 68.0%
SingleProcess AUTOTUNE benchmarking takes 2.4460 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2535 0.0206 ms 100.0%
  triton_mm_2537 0.0206 ms 100.0%
  triton_mm_2532 0.0209 ms 98.8%
  triton_mm_2534 0.0209 ms 98.8%
  triton_mm_2538 0.0216 ms 95.3%
  triton_mm_2541 0.0217 ms 95.0%
  triton_mm_2531 0.0217 ms 94.8%
  triton_mm_2539 0.0221 ms 93.2%
  triton_mm_2533 0.0223 ms 92.3%
  triton_mm_2536 0.0227 ms 90.8%
SingleProcess AUTOTUNE benchmarking takes 2.1389 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3557 ms 100.0%
  triton_mm_2578 0.3844 ms 92.5%
  triton_mm_2579 0.3928 ms 90.5%
  triton_mm_2580 0.4032 ms 88.2%
  triton_mm_2573 0.4800 ms 74.1%
  triton_mm_2571 0.4847 ms 73.4%
  triton_mm_2575 0.4857 ms 73.2%
  triton_mm_2574 0.5148 ms 69.1%
  triton_mm_2576 0.5279 ms 67.4%
  triton_mm_2572 0.5411 ms 65.7%
SingleProcess AUTOTUNE benchmarking takes 2.5721 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  triton_mm_2513 0.0324 ms 100.0%
  mm 0.0326 ms 99.5%
  triton_mm_2517 0.0358 ms 90.4%
  triton_mm_2521 0.0463 ms 70.0%
  triton_mm_2525 0.0588 ms 55.1%
  triton_mm_2512 0.0614 ms 52.8%
  triton_mm_2511 0.0650 ms 49.9%
  triton_mm_2516 0.0702 ms 46.2%
  triton_mm_2520 0.0716 ms 45.3%
  triton_mm_2510 0.0772 ms 42.0%
SingleProcess AUTOTUNE benchmarking takes 2.0950 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  mm 0.3811 ms 100.0%
  triton_mm_2559 0.3817 ms 99.8%
  triton_mm_2560 0.4002 ms 95.2%
  triton_mm_2561 0.4332 ms 88.0%
  triton_mm_2552 0.4664 ms 81.7%
  triton_mm_2554 0.4708 ms 81.0%
  triton_mm_2556 0.4841 ms 78.7%
  triton_mm_2553 0.5003 ms 76.2%
  triton_mm_2557 0.5379 ms 70.9%
  triton_mm_2555 0.5524 ms 69.0%
SingleProcess AUTOTUNE benchmarking takes 2.5672 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3564 ms 100.0%
  triton_mm_2597 0.3694 ms 96.5%
  triton_mm_2598 0.3752 ms 95.0%
  triton_mm_2599 0.3874 ms 92.0%
  triton_mm_2592 0.4604 ms 77.4%
  triton_mm_2593 0.4733 ms 75.3%
  triton_mm_2590 0.4837 ms 73.7%
  triton_mm_2594 0.4856 ms 73.4%
  triton_mm_2591 0.5088 ms 70.1%
  triton_mm_2595 0.5248 ms 67.9%
SingleProcess AUTOTUNE benchmarking takes 2.5683 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  triton_mm_2635 0.1003 ms 100.0%
  triton_mm_2636 0.1036 ms 96.8%
  triton_mm_2637 0.1093 ms 91.7%
  mm 0.1171 ms 85.6%
  triton_mm_2628 0.1242 ms 80.7%
  triton_mm_2630 0.1244 ms 80.6%
  triton_mm_2632 0.1247 ms 80.4%
  triton_mm_2629 0.1286 ms 77.9%
  triton_mm_2633 0.1375 ms 72.9%
  triton_mm_2631 0.1448 ms 69.2%
SingleProcess AUTOTUNE benchmarking takes 2.4344 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  mm 0.3551 ms 100.0%
  triton_mm_2783 0.3674 ms 96.7%
  triton_mm_2784 0.3755 ms 94.6%
  triton_mm_2785 0.3879 ms 91.5%
  triton_mm_2778 0.4602 ms 77.2%
  triton_mm_2779 0.4733 ms 75.0%
  triton_mm_2776 0.4821 ms 73.6%
  triton_mm_2780 0.4834 ms 73.4%
  triton_mm_2777 0.5069 ms 70.0%
  triton_mm_2781 0.5238 ms 67.8%
SingleProcess AUTOTUNE benchmarking takes 2.5679 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0979 ms 100.0%
  triton_mm_2821 0.1004 ms 97.5%
  triton_mm_2822 0.1035 ms 94.6%
  triton_mm_2823 0.1094 ms 89.5%
  triton_mm_2814 0.1241 ms 78.9%
  triton_mm_2816 0.1243 ms 78.8%
  triton_mm_2818 0.1248 ms 78.4%
  triton_mm_2815 0.1286 ms 76.1%
  triton_mm_2819 0.1380 ms 70.9%
  triton_mm_2817 0.1448 ms 67.6%
SingleProcess AUTOTUNE benchmarking takes 2.4618 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0965 ms 100.0%
  triton_mm_3007 0.0994 ms 97.2%
  triton_mm_3008 0.1033 ms 93.5%
  triton_mm_3009 0.1100 ms 87.8%
  triton_mm_3000 0.1236 ms 78.1%
  triton_mm_3004 0.1243 ms 77.7%
  triton_mm_3002 0.1253 ms 77.0%
  triton_mm_3001 0.1284 ms 75.2%
  triton_mm_3005 0.1377 ms 70.1%
  triton_mm_3003 0.1452 ms 66.5%
SingleProcess AUTOTUNE benchmarking takes 2.4519 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0976 ms 100.0%
  triton_mm_3193 0.1002 ms 97.4%
  triton_mm_3194 0.1033 ms 94.5%
  triton_mm_3195 0.1092 ms 89.4%
  triton_mm_3186 0.1237 ms 78.9%
  triton_mm_3190 0.1248 ms 78.2%
  triton_mm_3188 0.1254 ms 77.8%
  triton_mm_3187 0.1283 ms 76.0%
  triton_mm_3191 0.1373 ms 71.1%
  triton_mm_3189 0.1453 ms 67.2%
SingleProcess AUTOTUNE benchmarking takes 2.4579 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0965 ms 100.0%
  triton_mm_3379 0.1001 ms 96.4%
  triton_mm_3380 0.1033 ms 93.4%
  triton_mm_3381 0.1091 ms 88.5%
  triton_mm_3372 0.1230 ms 78.5%
  triton_mm_3376 0.1248 ms 77.3%
  triton_mm_3374 0.1254 ms 77.0%
  triton_mm_3373 0.1283 ms 75.2%
  triton_mm_3377 0.1372 ms 70.3%
  triton_mm_3375 0.1448 ms 66.7%
SingleProcess AUTOTUNE benchmarking takes 2.4510 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6840, 6840x32)
  mm 0.0318 ms 100.0%
  triton_mm_5716 0.0435 ms 73.0%
  triton_mm_5709 0.0448 ms 70.9%
  triton_mm_5707 0.0565 ms 56.2%
  triton_mm_5708 0.0637 ms 49.9%
  triton_mm_5715 0.0673 ms 47.2%
  triton_mm_5712 0.0679 ms 46.8%
  triton_mm_5721 0.0688 ms 46.2%
  triton_mm_5706 0.0690 ms 46.0%
  triton_mm_5720 0.0766 ms 41.5%
SingleProcess AUTOTUNE benchmarking takes 8.2175 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/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/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x28, 28x1280)
  triton_mm_11 0.0298 ms 100.0%
  triton_mm_7 0.0301 ms 99.1%
  triton_mm_8 0.0305 ms 97.8%
  triton_mm_6 0.0305 ms 97.8%
  triton_mm_4 0.0306 ms 97.4%
  triton_mm_9 0.0308 ms 96.9%
  triton_mm_12 0.0312 ms 95.7%
  triton_mm_15 0.0325 ms 91.6%
  triton_mm_3 0.0330 ms 90.5%
  triton_mm_2 0.0331 ms 90.0%
SingleProcess AUTOTUNE benchmarking takes 2.1825 seconds and 0.0136 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_33 0.0271 ms 100.0%
  triton_mm_29 0.0274 ms 98.8%
  triton_mm_24 0.0282 ms 96.1%
  triton_mm_18 0.0287 ms 94.4%
  triton_mm_28 0.0289 ms 93.9%
  bias_addmm 0.0292 ms 92.7%
  triton_mm_25 0.0300 ms 90.3%
  triton_mm_21 0.0310 ms 87.4%
  triton_mm_20 0.0328 ms 82.6%
  triton_mm_19 0.0335 ms 80.8%
SingleProcess AUTOTUNE benchmarking takes 2.1773 seconds and 0.0009 seconds precompiling
AUTOTUNE addmm(6864x3840, 6864x1280, 1280x3840)
  triton_mm_51 0.2988 ms 100.0%
  triton_mm_50 0.2992 ms 99.8%
  triton_mm_52 0.3357 ms 89.0%
  bias_addmm 0.3382 ms 88.3%
  triton_mm_45 0.3491 ms 85.6%
  triton_mm_43 0.3697 ms 80.8%
  triton_mm_47 0.3726 ms 80.2%
  triton_mm_44 0.4105 ms 72.8%
  triton_mm_48 0.4262 ms 70.1%
  triton_mm_46 0.4268 ms 70.0%
SingleProcess AUTOTUNE benchmarking takes 2.6780 seconds and 0.0200 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x1280, 1280x1280)
  triton_mm_70 0.1034 ms 100.0%
  triton_mm_69 0.1070 ms 96.6%
  triton_mm_71 0.1155 ms 89.5%
  bias_addmm 0.1185 ms 87.2%
  triton_mm_64 0.1237 ms 83.5%
  addmm 0.1279 ms 80.8%
  triton_mm_62 0.1298 ms 79.6%
  triton_mm_66 0.1302 ms 79.4%
  triton_mm_63 0.1447 ms 71.4%
  triton_mm_67 0.1467 ms 70.5%
SingleProcess AUTOTUNE benchmarking takes 2.5409 seconds and 0.0010 seconds precompiling
AUTOTUNE addmm(6864x5120, 6864x1280, 1280x5120)
  triton_mm_89 0.4023 ms 100.0%
  triton_mm_88 0.4068 ms 98.9%
  triton_mm_90 0.4514 ms 89.1%
  triton_mm_83 0.4657 ms 86.4%
  triton_mm_81 0.4954 ms 81.2%
  triton_mm_85 0.5045 ms 79.7%
  triton_mm_82 0.5500 ms 73.1%
  triton_mm_84 0.5606 ms 71.8%
  triton_mm_86 0.5726 ms 70.3%
  addmm 0.6034 ms 66.7%
SingleProcess AUTOTUNE benchmarking takes 2.6812 seconds and 1.3352 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_108 0.3691 ms 100.0%
  triton_mm_107 0.3880 ms 95.1%
  triton_mm_109 0.3933 ms 93.8%
  addmm 0.4297 ms 85.9%
  bias_addmm 0.4385 ms 84.2%
  triton_mm_102 0.4646 ms 79.4%
  triton_mm_103 0.4818 ms 76.6%
  triton_mm_100 0.4853 ms 76.0%
  triton_mm_104 0.4861 ms 75.9%
  triton_mm_105 0.5371 ms 68.7%
SingleProcess AUTOTUNE benchmarking takes 2.6826 seconds and 0.6263 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_126 0.0271 ms 100.0%
  triton_mm_122 0.0275 ms 98.8%
  triton_mm_111 0.0277 ms 97.9%
  triton_mm_117 0.0283 ms 96.0%
  triton_mm_121 0.0289 ms 93.9%
  bias_addmm 0.0292 ms 93.0%
  triton_mm_118 0.0305 ms 89.0%
  triton_mm_114 0.0310 ms 87.5%
  triton_mm_124 0.0328 ms 82.7%
  triton_mm_113 0.0329 ms 82.6%
SingleProcess AUTOTUNE benchmarking takes 2.2001 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x1280, 6864x5120, 5120x1280)
  triton_mm_201 0.3697 ms 100.0%
  triton_mm_200 0.3875 ms 95.4%
  triton_mm_202 0.3925 ms 94.2%
  addmm 0.4295 ms 86.1%
  bias_addmm 0.4376 ms 84.5%
  triton_mm_195 0.4651 ms 79.5%
  triton_mm_196 0.4833 ms 76.5%
  triton_mm_193 0.4854 ms 76.2%
  triton_mm_197 0.4855 ms 76.2%
  triton_mm_198 0.5395 ms 68.5%
SingleProcess AUTOTUNE benchmarking takes 2.6801 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(24x7680, 24x1280, 1280x7680)
  triton_mm_219 0.0271 ms 100.0%
  triton_mm_214 0.0279 ms 97.1%
  triton_mm_215 0.0280 ms 96.9%
  triton_mm_204 0.0287 ms 94.3%
  triton_mm_210 0.0292 ms 93.0%
  triton_mm_211 0.0300 ms 90.2%
  triton_mm_207 0.0310 ms 87.4%
  bias_addmm 0.0321 ms 84.4%
  triton_mm_206 0.0329 ms 82.5%
  triton_mm_213 0.0329 ms 82.5%
SingleProcess AUTOTUNE benchmarking takes 2.1842 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1280, 1280x2560)
  triton_mm_1881 0.0142 ms 100.0%
  triton_mm_1885 0.0154 ms 91.9%
  triton_mm_1889 0.0167 ms 84.9%
  triton_mm_1893 0.0182 ms 77.9%
  triton_mm_1880 0.0186 ms 76.2%
  triton_mm_1879 0.0194 ms 73.1%
  triton_mm_1878 0.0196 ms 72.4%
  triton_mm_1884 0.0199 ms 71.3%
  triton_mm_1888 0.0216 ms 65.6%
  triton_mm_1891 0.0227 ms 62.6%
SingleProcess AUTOTUNE benchmarking takes 7.6887 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x32768, 6864x1280, 1280x32768)
  bias_addmm 2.5476 ms 100.0%
  triton_mm_1911 2.5951 ms 98.2%
  triton_mm_1910 2.6235 ms 97.1%
  triton_mm_1912 2.8960 ms 88.0%
  triton_mm_1905 3.0668 ms 83.1%
  triton_mm_1907 3.2604 ms 78.1%
  addmm 3.2917 ms 77.4%
  triton_mm_1903 3.3401 ms 76.3%
  triton_mm_1906 3.6437 ms 69.9%
  triton_mm_1904 3.6758 ms 69.3%
SingleProcess AUTOTUNE benchmarking takes 12.2887 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(32768x6864, 6864x1280)
  triton_mm_1948 2.3156 ms 100.0%
  triton_mm_1949 2.3650 ms 97.9%
  mm 2.4120 ms 96.0%
  triton_mm_1950 2.5206 ms 91.9%
  triton_mm_1943 2.9617 ms 78.2%
  triton_mm_1941 3.0172 ms 76.7%
  triton_mm_1945 3.0962 ms 74.8%
  triton_mm_1944 3.1258 ms 74.1%
  triton_mm_1946 3.2478 ms 71.3%
  triton_mm_1942 3.3036 ms 70.1%
SingleProcess AUTOTUNE benchmarking takes 10.2381 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3551 ms 100.0%
  triton_mm_2020 0.3843 ms 92.4%
  triton_mm_2021 0.3919 ms 90.6%
  triton_mm_2022 0.4021 ms 88.3%
  triton_mm_2015 0.4811 ms 73.8%
  triton_mm_2017 0.4838 ms 73.4%
  triton_mm_2013 0.4887 ms 72.7%
  triton_mm_2016 0.5122 ms 69.3%
  triton_mm_2018 0.5263 ms 67.5%
  triton_mm_2014 0.5409 ms 65.6%
SingleProcess AUTOTUNE benchmarking takes 10.2077 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(2560x24, 24x1280)
  triton_mm_1976 0.0124 ms 100.0%
  triton_mm_1980 0.0125 ms 99.5%
  triton_mm_1973 0.0127 ms 98.2%
  triton_mm_1981 0.0127 ms 97.7%
  triton_mm_1977 0.0131 ms 95.3%
  triton_mm_1979 0.0131 ms 95.1%
  triton_mm_1978 0.0133 ms 93.5%
  triton_mm_1975 0.0135 ms 92.4%
  triton_mm_1974 0.0135 ms 92.2%
  triton_mm_1971 0.0138 ms 90.5%
SingleProcess AUTOTUNE benchmarking takes 6.2277 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2560, 2560x1280)
  triton_mm_1959 0.0177 ms 100.0%
  triton_mm_1955 0.0178 ms 99.5%
  mm 0.0189 ms 93.6%
  triton_mm_1963 0.0220 ms 80.5%
  triton_mm_1967 0.0249 ms 71.1%
  triton_mm_1954 0.0251 ms 70.7%
  triton_mm_1953 0.0272 ms 65.2%
  triton_mm_1958 0.0288 ms 61.6%
  triton_mm_1962 0.0291 ms 60.9%
  triton_mm_1952 0.0296 ms 59.9%
SingleProcess AUTOTUNE benchmarking takes 2.1168 seconds and 0.0009 seconds precompiling
AUTOTUNE mm(6864x32768, 32768x1280)
  mm 2.3188 ms 100.0%
  triton_mm_1929 2.3668 ms 98.0%
  triton_mm_1930 2.3783 ms 97.5%
  triton_mm_1931 2.4287 ms 95.5%
  triton_mm_1925 3.0619 ms 75.7%
  triton_mm_1924 3.1991 ms 72.5%
  triton_mm_1922 3.2663 ms 71.0%
  triton_mm_1923 3.2944 ms 70.4%
  triton_mm_1927 3.3573 ms 69.1%
  triton_mm_1926 3.5000 ms 66.3%
SingleProcess AUTOTUNE benchmarking takes 10.1965 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x5120)
  triton_mm_2001 0.3811 ms 100.0%
  mm 0.3825 ms 99.6%
  triton_mm_2002 0.4000 ms 95.3%
  triton_mm_2003 0.4306 ms 88.5%
  triton_mm_1994 0.4676 ms 81.5%
  triton_mm_1996 0.4703 ms 81.0%
  triton_mm_1998 0.4810 ms 79.2%
  triton_mm_1995 0.4987 ms 76.4%
  triton_mm_1999 0.5368 ms 71.0%
  triton_mm_1997 0.5468 ms 69.7%
SingleProcess AUTOTUNE benchmarking takes 2.5560 seconds and 0.0009 seconds precompiling
AUTOTUNE mm(6864x5120, 5120x1280)
  triton_mm_2039 0.3672 ms 100.0%
  triton_mm_2040 0.3755 ms 97.8%
  triton_mm_2041 0.3869 ms 94.9%
  mm 0.3937 ms 93.3%
  triton_mm_2034 0.4578 ms 80.2%
  triton_mm_2035 0.4714 ms 77.9%
  triton_mm_2032 0.4820 ms 76.2%
  triton_mm_2036 0.4858 ms 75.6%
  triton_mm_2033 0.5052 ms 72.7%
  triton_mm_2037 0.5217 ms 70.4%
SingleProcess AUTOTUNE benchmarking takes 2.5591 seconds and 0.0138 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2058 0.3768 ms 100.0%
  mm 0.3852 ms 97.8%
  triton_mm_2059 0.3886 ms 97.0%
  triton_mm_2060 0.4012 ms 93.9%
  triton_mm_2053 0.4662 ms 80.8%
  triton_mm_2051 0.4748 ms 79.4%
  triton_mm_2055 0.4802 ms 78.5%
  triton_mm_2056 0.5275 ms 71.4%
  triton_mm_2052 0.5307 ms 71.0%
  triton_mm_2054 0.5887 ms 64.0%
SingleProcess AUTOTUNE benchmarking takes 9.9244 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x3840, 3840x1280)
  triton_mm_2115 0.2767 ms 100.0%
  triton_mm_2116 0.2844 ms 97.3%
  triton_mm_2117 0.2931 ms 94.4%
  mm 0.3010 ms 91.9%
  triton_mm_2110 0.3458 ms 80.0%
  triton_mm_2111 0.3531 ms 78.4%
  triton_mm_2108 0.3621 ms 76.4%
  triton_mm_2112 0.3647 ms 75.9%
  triton_mm_2109 0.3806 ms 72.7%
  triton_mm_2113 0.3922 ms 70.6%
SingleProcess AUTOTUNE benchmarking takes 10.0249 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(3840x6864, 6864x1280)
  triton_mm_2134 0.2898 ms 100.0%
  triton_mm_2135 0.2938 ms 98.6%
  mm 0.2954 ms 98.1%
  triton_mm_2136 0.2995 ms 96.7%
  triton_mm_2127 0.3526 ms 82.2%
  triton_mm_2129 0.3532 ms 82.0%
  triton_mm_2131 0.3552 ms 81.6%
  triton_mm_2130 0.3822 ms 75.8%
  triton_mm_2132 0.3955 ms 73.3%
  triton_mm_2128 0.4005 ms 72.4%
SingleProcess AUTOTUNE benchmarking takes 2.5376 seconds and 0.0010 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0930 ms 100.0%
  triton_mm_2098 0.1002 ms 92.8%
  triton_mm_2097 0.1078 ms 86.3%
  triton_mm_2091 0.1206 ms 77.1%
  triton_mm_2096 0.1212 ms 76.8%
  triton_mm_2093 0.1232 ms 75.5%
  triton_mm_2089 0.1240 ms 75.0%
  triton_mm_2092 0.1275 ms 72.9%
  triton_mm_2094 0.1317 ms 70.6%
  triton_mm_2090 0.1347 ms 69.0%
SingleProcess AUTOTUNE benchmarking takes 9.7827 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x1280, 1280x1280)
  mm 0.0980 ms 100.0%
  triton_mm_2078 0.1028 ms 95.2%
  triton_mm_2079 0.1100 ms 89.0%
  triton_mm_2077 0.1183 ms 82.8%
  triton_mm_2072 0.1243 ms 78.8%
  triton_mm_2070 0.1248 ms 78.5%
  triton_mm_2074 0.1249 ms 78.4%
  triton_mm_2071 0.1285 ms 76.2%
  triton_mm_2075 0.1367 ms 71.6%
  triton_mm_2073 0.1445 ms 67.8%
SingleProcess AUTOTUNE benchmarking takes 14.0679 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2160 0.0206 ms 100.0%
  triton_mm_2163 0.0212 ms 97.0%
  triton_mm_2165 0.0212 ms 97.0%
  triton_mm_2166 0.0213 ms 96.6%
  triton_mm_2162 0.0216 ms 95.3%
  triton_mm_2161 0.0221 ms 93.3%
  triton_mm_2159 0.0224 ms 92.0%
  triton_mm_2164 0.0224 ms 91.9%
  triton_mm_2169 0.0224 ms 91.9%
  triton_mm_2168 0.0227 ms 91.0%
SingleProcess AUTOTUNE benchmarking takes 5.8276 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3588 ms 100.0%
  triton_mm_2206 0.3845 ms 93.3%
  triton_mm_2207 0.3941 ms 91.0%
  triton_mm_2208 0.4021 ms 89.2%
  triton_mm_2201 0.4799 ms 74.8%
  triton_mm_2203 0.4861 ms 73.8%
  triton_mm_2199 0.4885 ms 73.5%
  triton_mm_2202 0.5137 ms 69.9%
  triton_mm_2204 0.5264 ms 68.2%
  triton_mm_2200 0.5412 ms 66.3%
SingleProcess AUTOTUNE benchmarking takes 2.5617 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  triton_mm_2141 0.0322 ms 100.0%
  mm 0.0322 ms 99.9%
  triton_mm_2145 0.0346 ms 93.0%
  triton_mm_2149 0.0453 ms 70.9%
  triton_mm_2153 0.0588 ms 54.6%
  triton_mm_2140 0.0610 ms 52.8%
  triton_mm_2139 0.0653 ms 49.2%
  triton_mm_2144 0.0699 ms 46.0%
  triton_mm_2148 0.0719 ms 44.7%
  triton_mm_2138 0.0762 ms 42.2%
SingleProcess AUTOTUNE benchmarking takes 6.7056 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2244 0.3757 ms 100.0%
  mm 0.3881 ms 96.8%
  triton_mm_2245 0.3892 ms 96.5%
  triton_mm_2246 0.4045 ms 92.9%
  triton_mm_2239 0.4720 ms 79.6%
  triton_mm_2237 0.4802 ms 78.2%
  triton_mm_2241 0.4823 ms 77.9%
  triton_mm_2240 0.5106 ms 73.6%
  triton_mm_2242 0.5296 ms 70.9%
  triton_mm_2238 0.5376 ms 69.9%
SingleProcess AUTOTUNE benchmarking takes 2.5572 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x3840, 3840x1280)
  mm 0.2689 ms 100.0%
  triton_mm_2301 0.2763 ms 97.3%
  triton_mm_2302 0.2839 ms 94.7%
  triton_mm_2303 0.2945 ms 91.3%
  triton_mm_2296 0.3452 ms 77.9%
  triton_mm_2297 0.3546 ms 75.8%
  triton_mm_2294 0.3624 ms 74.2%
  triton_mm_2298 0.3657 ms 73.5%
  triton_mm_2295 0.3790 ms 70.9%
  triton_mm_2299 0.3916 ms 68.7%
SingleProcess AUTOTUNE benchmarking takes 2.5344 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(3840x6864, 6864x1280)
  triton_mm_2320 0.2904 ms 100.0%
  mm 0.2938 ms 98.9%
  triton_mm_2321 0.2953 ms 98.3%
  triton_mm_2322 0.3022 ms 96.1%
  triton_mm_2313 0.3526 ms 82.3%
  triton_mm_2315 0.3543 ms 82.0%
  triton_mm_2317 0.3563 ms 81.5%
  triton_mm_2316 0.3838 ms 75.7%
  triton_mm_2318 0.3955 ms 73.4%
  triton_mm_2314 0.4016 ms 72.3%
SingleProcess AUTOTUNE benchmarking takes 2.5326 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0945 ms 100.0%
  triton_mm_2284 0.1004 ms 94.1%
  triton_mm_2283 0.1086 ms 87.0%
  triton_mm_2277 0.1210 ms 78.1%
  triton_mm_2282 0.1218 ms 77.6%
  triton_mm_2279 0.1230 ms 76.8%
  triton_mm_2275 0.1234 ms 76.6%
  triton_mm_2278 0.1280 ms 73.8%
  triton_mm_2280 0.1309 ms 72.2%
  triton_mm_2276 0.1338 ms 70.6%
SingleProcess AUTOTUNE benchmarking takes 2.4279 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2351 0.0202 ms 100.0%
  triton_mm_2349 0.0212 ms 95.3%
  triton_mm_2352 0.0213 ms 94.8%
  triton_mm_2350 0.0214 ms 94.3%
  triton_mm_2345 0.0215 ms 94.2%
  triton_mm_2348 0.0216 ms 93.6%
  triton_mm_2346 0.0216 ms 93.5%
  triton_mm_2355 0.0224 ms 90.1%
  triton_mm_2356 0.0227 ms 89.3%
  triton_mm_2353 0.0228 ms 88.5%
SingleProcess AUTOTUNE benchmarking takes 2.1262 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3567 ms 100.0%
  triton_mm_2392 0.3853 ms 92.6%
  triton_mm_2393 0.3937 ms 90.6%
  triton_mm_2394 0.4035 ms 88.4%
  triton_mm_2387 0.4814 ms 74.1%
  triton_mm_2389 0.4868 ms 73.3%
  triton_mm_2385 0.4899 ms 72.8%
  triton_mm_2388 0.5147 ms 69.3%
  triton_mm_2390 0.5276 ms 67.6%
  triton_mm_2386 0.5412 ms 65.9%
SingleProcess AUTOTUNE benchmarking takes 2.5663 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  mm 0.0324 ms 100.0%
  triton_mm_2327 0.0333 ms 97.2%
  triton_mm_2331 0.0346 ms 93.6%
  triton_mm_2335 0.0464 ms 69.8%
  triton_mm_2339 0.0579 ms 56.0%
  triton_mm_2326 0.0610 ms 53.1%
  triton_mm_2325 0.0653 ms 49.6%
  triton_mm_2330 0.0698 ms 46.4%
  triton_mm_2334 0.0720 ms 45.0%
  triton_mm_2324 0.0769 ms 42.1%
SingleProcess AUTOTUNE benchmarking takes 2.0773 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2430 0.3772 ms 100.0%
  mm 0.3852 ms 97.9%
  triton_mm_2431 0.3906 ms 96.6%
  triton_mm_2432 0.4046 ms 93.2%
  triton_mm_2425 0.4730 ms 79.7%
  triton_mm_2423 0.4811 ms 78.4%
  triton_mm_2427 0.4821 ms 78.2%
  triton_mm_2426 0.5114 ms 73.8%
  triton_mm_2428 0.5300 ms 71.2%
  triton_mm_2424 0.5371 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 2.5594 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x3840, 3840x1280)
  mm 0.2687 ms 100.0%
  triton_mm_2487 0.2764 ms 97.2%
  triton_mm_2488 0.2844 ms 94.5%
  triton_mm_2489 0.2956 ms 90.9%
  triton_mm_2482 0.3458 ms 77.7%
  triton_mm_2483 0.3554 ms 75.6%
  triton_mm_2480 0.3627 ms 74.1%
  triton_mm_2484 0.3664 ms 73.3%
  triton_mm_2481 0.3803 ms 70.7%
  triton_mm_2485 0.3924 ms 68.5%
SingleProcess AUTOTUNE benchmarking takes 2.5385 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(3840x6864, 6864x1280)
  triton_mm_2506 0.2911 ms 100.0%
  mm 0.2945 ms 98.8%
  triton_mm_2507 0.2959 ms 98.4%
  triton_mm_2508 0.3019 ms 96.4%
  triton_mm_2499 0.3537 ms 82.3%
  triton_mm_2501 0.3542 ms 82.2%
  triton_mm_2503 0.3566 ms 81.6%
  triton_mm_2502 0.3847 ms 75.7%
  triton_mm_2504 0.3973 ms 73.3%
  triton_mm_2500 0.4017 ms 72.5%
SingleProcess AUTOTUNE benchmarking takes 2.5353 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0949 ms 100.0%
  triton_mm_2470 0.0996 ms 95.2%
  triton_mm_2469 0.1087 ms 87.3%
  triton_mm_2463 0.1213 ms 78.2%
  triton_mm_2468 0.1218 ms 77.9%
  triton_mm_2465 0.1239 ms 76.6%
  triton_mm_2461 0.1243 ms 76.3%
  triton_mm_2464 0.1282 ms 74.0%
  triton_mm_2466 0.1310 ms 72.4%
  triton_mm_2462 0.1340 ms 70.8%
SingleProcess AUTOTUNE benchmarking takes 2.4345 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2535 0.0202 ms 100.0%
  triton_mm_2537 0.0202 ms 100.0%
  triton_mm_2538 0.0203 ms 99.4%
  triton_mm_2532 0.0206 ms 97.8%
  triton_mm_2534 0.0206 ms 97.8%
  triton_mm_2539 0.0218 ms 92.5%
  triton_mm_2531 0.0223 ms 90.4%
  triton_mm_2541 0.0224 ms 90.1%
  triton_mm_2536 0.0224 ms 90.0%
  triton_mm_2540 0.0227 ms 89.1%
SingleProcess AUTOTUNE benchmarking takes 2.1253 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3564 ms 100.0%
  triton_mm_2578 0.3855 ms 92.5%
  triton_mm_2579 0.3924 ms 90.8%
  triton_mm_2580 0.4033 ms 88.4%
  triton_mm_2573 0.4824 ms 73.9%
  triton_mm_2575 0.4869 ms 73.2%
  triton_mm_2571 0.4890 ms 72.9%
  triton_mm_2574 0.5169 ms 68.9%
  triton_mm_2576 0.5301 ms 67.2%
  triton_mm_2572 0.5419 ms 65.8%
SingleProcess AUTOTUNE benchmarking takes 2.5622 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  mm 0.0324 ms 100.0%
  triton_mm_2513 0.0332 ms 97.5%
  triton_mm_2517 0.0356 ms 90.9%
  triton_mm_2521 0.0453 ms 71.4%
  triton_mm_2525 0.0589 ms 54.9%
  triton_mm_2512 0.0603 ms 53.6%
  triton_mm_2511 0.0654 ms 49.5%
  triton_mm_2516 0.0706 ms 45.8%
  triton_mm_2520 0.0713 ms 45.4%
  triton_mm_2510 0.0769 ms 42.1%
SingleProcess AUTOTUNE benchmarking takes 2.0837 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2616 0.3773 ms 100.0%
  mm 0.3848 ms 98.1%
  triton_mm_2617 0.3900 ms 96.8%
  triton_mm_2618 0.4041 ms 93.4%
  triton_mm_2611 0.4716 ms 80.0%
  triton_mm_2609 0.4811 ms 78.4%
  triton_mm_2613 0.4838 ms 78.0%
  triton_mm_2612 0.5118 ms 73.7%
  triton_mm_2614 0.5305 ms 71.1%
  triton_mm_2610 0.5372 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 2.5576 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  triton_mm_2656 0.0993 ms 100.0%
  triton_mm_2655 0.1079 ms 92.0%
  mm 0.1123 ms 88.4%
  triton_mm_2649 0.1203 ms 82.5%
  triton_mm_2654 0.1223 ms 81.2%
  triton_mm_2647 0.1234 ms 80.4%
  triton_mm_2651 0.1237 ms 80.2%
  triton_mm_2650 0.1271 ms 78.1%
  triton_mm_2652 0.1309 ms 75.8%
  triton_mm_2648 0.1345 ms 73.8%
SingleProcess AUTOTUNE benchmarking takes 2.4251 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(7680x24, 24x1280)
  triton_mm_2721 0.0202 ms 100.0%
  triton_mm_2723 0.0202 ms 99.8%
  triton_mm_2720 0.0213 ms 94.7%
  triton_mm_2724 0.0213 ms 94.6%
  triton_mm_2727 0.0215 ms 94.0%
  triton_mm_2718 0.0216 ms 93.6%
  triton_mm_2725 0.0218 ms 92.7%
  triton_mm_2717 0.0223 ms 90.5%
  triton_mm_2722 0.0224 ms 90.3%
  triton_mm_2726 0.0227 ms 89.1%
SingleProcess AUTOTUNE benchmarking takes 2.1356 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x5120)
  mm 0.3596 ms 100.0%
  triton_mm_2764 0.3850 ms 93.4%
  triton_mm_2765 0.3929 ms 91.5%
  triton_mm_2766 0.4045 ms 88.9%
  triton_mm_2759 0.4789 ms 75.1%
  triton_mm_2761 0.4860 ms 74.0%
  triton_mm_2757 0.4897 ms 73.4%
  triton_mm_2760 0.5134 ms 70.0%
  triton_mm_2762 0.5279 ms 68.1%
  triton_mm_2758 0.5419 ms 66.4%
SingleProcess AUTOTUNE benchmarking takes 2.5687 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x7680, 7680x1280)
  mm 0.0324 ms 100.0%
  triton_mm_2699 0.0333 ms 97.3%
  triton_mm_2703 0.0356 ms 91.0%
  triton_mm_2707 0.0463 ms 69.9%
  triton_mm_2711 0.0579 ms 55.9%
  triton_mm_2698 0.0610 ms 53.1%
  triton_mm_2697 0.0654 ms 49.5%
  triton_mm_2702 0.0705 ms 46.0%
  triton_mm_2706 0.0721 ms 44.9%
  triton_mm_2696 0.0768 ms 42.2%
SingleProcess AUTOTUNE benchmarking takes 2.0923 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2802 0.3764 ms 100.0%
  mm 0.3845 ms 97.9%
  triton_mm_2803 0.3893 ms 96.7%
  triton_mm_2804 0.4038 ms 93.2%
  triton_mm_2797 0.4720 ms 79.7%
  triton_mm_2795 0.4796 ms 78.5%
  triton_mm_2799 0.4807 ms 78.3%
  triton_mm_2798 0.5107 ms 73.7%
  triton_mm_2800 0.5290 ms 71.2%
  triton_mm_2796 0.5364 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 2.5684 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0933 ms 100.0%
  triton_mm_2842 0.1002 ms 93.1%
  triton_mm_2841 0.1087 ms 85.8%
  triton_mm_2835 0.1202 ms 77.6%
  triton_mm_2840 0.1223 ms 76.2%
  triton_mm_2833 0.1234 ms 75.6%
  triton_mm_2837 0.1237 ms 75.4%
  triton_mm_2836 0.1272 ms 73.3%
  triton_mm_2838 0.1309 ms 71.3%
  triton_mm_2834 0.1346 ms 69.3%
SingleProcess AUTOTUNE benchmarking takes 2.4372 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_2988 0.3758 ms 100.0%
  mm 0.3875 ms 97.0%
  triton_mm_2989 0.3898 ms 96.4%
  triton_mm_2990 0.4020 ms 93.5%
  triton_mm_2983 0.4708 ms 79.8%
  triton_mm_2981 0.4800 ms 78.3%
  triton_mm_2985 0.4809 ms 78.1%
  triton_mm_2984 0.5101 ms 73.7%
  triton_mm_2986 0.5284 ms 71.1%
  triton_mm_2982 0.5370 ms 70.0%
SingleProcess AUTOTUNE benchmarking takes 2.5686 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6864, 6864x1280)
  mm 0.0938 ms 100.0%
  triton_mm_3028 0.0992 ms 94.5%
  triton_mm_3027 0.1079 ms 86.9%
  triton_mm_3021 0.1209 ms 77.6%
  triton_mm_3026 0.1217 ms 77.0%
  triton_mm_3023 0.1230 ms 76.2%
  triton_mm_3019 0.1234 ms 76.0%
  triton_mm_3022 0.1279 ms 73.3%
  triton_mm_3024 0.1316 ms 71.2%
  triton_mm_3020 0.1346 ms 69.7%
SingleProcess AUTOTUNE benchmarking takes 2.4446 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_3174 0.3761 ms 100.0%
  mm 0.3885 ms 96.8%
  triton_mm_3175 0.3890 ms 96.7%
  triton_mm_3176 0.4022 ms 93.5%
  triton_mm_3169 0.4716 ms 79.7%
  triton_mm_3167 0.4793 ms 78.5%
  triton_mm_3171 0.4816 ms 78.1%
  triton_mm_3170 0.5102 ms 73.7%
  triton_mm_3172 0.5272 ms 71.3%
  triton_mm_3168 0.5358 ms 70.2%
SingleProcess AUTOTUNE benchmarking takes 2.5617 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(5120x6864, 6864x1280)
  triton_mm_3360 0.3750 ms 100.0%
  mm 0.3875 ms 96.8%
  triton_mm_3361 0.3888 ms 96.4%
  triton_mm_3362 0.4018 ms 93.3%
  triton_mm_3355 0.4721 ms 79.4%
  triton_mm_3353 0.4795 ms 78.2%
  triton_mm_3357 0.4804 ms 78.0%
  triton_mm_3356 0.5105 ms 73.5%
  triton_mm_3358 0.5288 ms 70.9%
  triton_mm_3354 0.5353 ms 70.1%
SingleProcess AUTOTUNE benchmarking takes 2.5677 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(1280x6840, 6840x32)
  mm 0.0311 ms 100.0%
  triton_mm_5716 0.0429 ms 72.5%
  triton_mm_5709 0.0429 ms 72.4%
  triton_mm_5707 0.0553 ms 56.2%
  triton_mm_5708 0.0638 ms 48.7%
  triton_mm_5715 0.0660 ms 47.1%
  triton_mm_5706 0.0669 ms 46.4%
  triton_mm_5712 0.0682 ms 45.6%
  triton_mm_5720 0.0751 ms 41.4%
  triton_mm_5714 0.0775 ms 40.1%
SingleProcess AUTOTUNE benchmarking takes 8.1537 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/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):

Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5827 1.1316 ms 100.0%
  mm 1.2616 ms 89.7%
  triton_mm_5824 1.3746 ms 82.3%
  triton_mm_5820 1.3942 ms 81.2%
  triton_mm_5828 1.4338 ms 78.9%
  triton_mm_5825 1.5031 ms 75.3%
  triton_mm_5821 1.5206 ms 74.4%
  triton_mm_5822 1.5600 ms 72.5%
  triton_mm_5817 1.8527 ms 61.1%
  triton_mm_5818 1.9248 ms 58.8%
SingleProcess AUTOTUNE benchmarking takes 2.1924 seconds and 0.0015 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5920 1.1317 ms 100.0%
  mm 1.1701 ms 96.7%
  triton_mm_5917 1.3758 ms 82.3%
  triton_mm_5913 1.3952 ms 81.1%
  triton_mm_5921 1.4356 ms 78.8%
  triton_mm_5918 1.5167 ms 74.6%
  triton_mm_5914 1.5227 ms 74.3%
  triton_mm_5915 1.5718 ms 72.0%
  triton_mm_5910 1.8535 ms 61.1%
  triton_mm_5911 1.9244 ms 58.8%
SingleProcess AUTOTUNE benchmarking takes 2.2075 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_7594 1.1323 ms 100.0%
  mm 1.1709 ms 96.7%
  triton_mm_7591 1.3892 ms 81.5%
  triton_mm_7587 1.4069 ms 80.5%
  triton_mm_7595 1.4345 ms 78.9%
  triton_mm_7592 1.5161 ms 74.7%
  triton_mm_7588 1.5378 ms 73.6%
  triton_mm_7589 1.5703 ms 72.1%
  triton_mm_7584 1.8502 ms 61.2%
  triton_mm_7585 1.9252 ms 58.8%
SingleProcess AUTOTUNE benchmarking takes 2.1978 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  triton_mm_5733 0.0479 ms 100.0%
  triton_mm_5732 0.0480 ms 99.7%
  mm 0.0491 ms 97.4%
  triton_mm_5731 0.0498 ms 96.2%
  triton_mm_5735 0.0500 ms 95.7%
  triton_mm_5729 0.0514 ms 93.2%
  triton_mm_5736 0.0529 ms 90.4%
  triton_mm_5725 0.0559 ms 85.6%
  triton_mm_5724 0.0568 ms 84.3%
  triton_mm_5728 0.0614 ms 78.0%
SingleProcess AUTOTUNE benchmarking takes 1.6666 seconds and 0.0014 seconds precompiling
AUTOTUNE mm(10260x28, 28x1280)
  triton_mm_5746 0.0391 ms 100.0%
  triton_mm_5747 0.0394 ms 99.4%
  triton_mm_5745 0.0395 ms 99.2%
  triton_mm_5748 0.0396 ms 98.7%
  triton_mm_5751 0.0398 ms 98.4%
  triton_mm_5750 0.0407 ms 96.1%
  triton_mm_5743 0.0420 ms 93.1%
  triton_mm_5754 0.0433 ms 90.5%
  triton_mm_5742 0.0442 ms 88.5%
  triton_mm_5741 0.0450 ms 86.9%
SingleProcess AUTOTUNE benchmarking takes 2.1196 seconds and 0.0010 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_5772 0.8593 ms 100.0%
  bias_addmm 0.8839 ms 97.2%
  triton_mm_5769 1.0394 ms 82.7%
  triton_mm_5765 1.0601 ms 81.1%
  addmm 1.0784 ms 79.7%
  triton_mm_5773 1.1030 ms 77.9%
  triton_mm_5770 1.1451 ms 75.0%
  triton_mm_5766 1.1571 ms 74.3%
  triton_mm_5767 1.1826 ms 72.7%
  triton_mm_5762 1.4142 ms 60.8%
SingleProcess AUTOTUNE benchmarking takes 2.2843 seconds and 0.0030 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_5791 0.2984 ms 100.0%
  mm 0.3137 ms 95.1%
  triton_mm_5784 0.3485 ms 85.6%
  triton_mm_5788 0.3524 ms 84.7%
  triton_mm_5792 0.3767 ms 79.2%
  triton_mm_5785 0.3780 ms 78.9%
  triton_mm_5789 0.3840 ms 77.7%
  triton_mm_5786 0.3943 ms 75.7%
  triton_mm_5781 0.4639 ms 64.3%
  triton_mm_5782 0.4833 ms 61.7%
SingleProcess AUTOTUNE benchmarking takes 2.0519 seconds and 0.0016 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1021 ms 100.0%
  triton_mm_5846 1.1272 ms 97.8%
  triton_mm_5847 1.3316 ms 82.8%
  triton_mm_5839 1.4018 ms 78.6%
  triton_mm_5843 1.4145 ms 77.9%
  triton_mm_5840 1.4668 ms 75.1%
  triton_mm_5844 1.4790 ms 74.5%
  triton_mm_5841 1.5070 ms 73.1%
  triton_mm_5836 1.8718 ms 58.9%
  triton_mm_5837 1.9026 ms 57.9%
SingleProcess AUTOTUNE benchmarking takes 2.2009 seconds and 0.0017 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  triton_mm_6269 0.0479 ms 100.0%
  triton_mm_6270 0.0480 ms 100.0%
  mm 0.0482 ms 99.5%
  triton_mm_6268 0.0498 ms 96.3%
  triton_mm_6272 0.0507 ms 94.5%
  triton_mm_6266 0.0513 ms 93.5%
  triton_mm_6273 0.0525 ms 91.3%
  triton_mm_6262 0.0550 ms 87.1%
  triton_mm_6261 0.0572 ms 83.8%
  triton_mm_6265 0.0622 ms 77.0%
SingleProcess AUTOTUNE benchmarking takes 1.6804 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1000 ms 100.0%
  triton_mm_6311 1.1220 ms 98.0%
  triton_mm_6312 1.3402 ms 82.1%
  triton_mm_6304 1.4074 ms 78.2%
  triton_mm_6308 1.4149 ms 77.7%
  triton_mm_6305 1.4768 ms 74.5%
  triton_mm_6309 1.4783 ms 74.4%
  triton_mm_6306 1.5061 ms 73.0%
  triton_mm_6301 1.8741 ms 58.7%
  triton_mm_6302 1.9018 ms 57.8%
SingleProcess AUTOTUNE benchmarking takes 2.1911 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_6330 0.8600 ms 100.0%
  bias_addmm 0.8893 ms 96.7%
  triton_mm_6327 1.0404 ms 82.7%
  triton_mm_6323 1.0598 ms 81.1%
  addmm 1.0847 ms 79.3%
  triton_mm_6331 1.0911 ms 78.8%
  triton_mm_6328 1.1451 ms 75.1%
  triton_mm_6324 1.1700 ms 73.5%
  triton_mm_6325 1.1946 ms 72.0%
  triton_mm_6320 1.4019 ms 61.3%
SingleProcess AUTOTUNE benchmarking takes 2.2902 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_6349 0.2976 ms 100.0%
  mm 0.3134 ms 94.9%
  triton_mm_6342 0.3488 ms 85.3%
  triton_mm_6346 0.3532 ms 84.3%
  triton_mm_6350 0.3767 ms 79.0%
  triton_mm_6343 0.3777 ms 78.8%
  triton_mm_6347 0.3843 ms 77.4%
  triton_mm_6344 0.3939 ms 75.5%
  triton_mm_6339 0.4657 ms 63.9%
  triton_mm_6340 0.4838 ms 61.5%
SingleProcess AUTOTUNE benchmarking takes 2.0492 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_7000 0.2987 ms 100.0%
  mm 0.3138 ms 95.2%
  triton_mm_6993 0.3491 ms 85.6%
  triton_mm_6997 0.3523 ms 84.8%
  triton_mm_7001 0.3773 ms 79.2%
  triton_mm_6994 0.3794 ms 78.7%
  triton_mm_6998 0.3848 ms 77.6%
  triton_mm_6995 0.3948 ms 75.7%
  triton_mm_6990 0.4659 ms 64.1%
  triton_mm_6991 0.4820 ms 62.0%
SingleProcess AUTOTUNE benchmarking takes 2.0483 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  mm 0.0475 ms 100.0%
  triton_mm_7014 0.0476 ms 99.8%
  triton_mm_7013 0.0481 ms 98.7%
  triton_mm_7012 0.0496 ms 95.6%
  triton_mm_7016 0.0499 ms 95.1%
  triton_mm_7010 0.0513 ms 92.5%
  triton_mm_7017 0.0528 ms 89.9%
  triton_mm_7006 0.0550 ms 86.3%
  triton_mm_7005 0.0567 ms 83.7%
  triton_mm_7009 0.0615 ms 77.2%
SingleProcess AUTOTUNE benchmarking takes 1.6797 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1002 ms 100.0%
  triton_mm_7055 1.1275 ms 97.6%
  triton_mm_7056 1.3320 ms 82.6%
  triton_mm_7048 1.4022 ms 78.5%
  triton_mm_7052 1.4139 ms 77.8%
  triton_mm_7049 1.4775 ms 74.5%
  triton_mm_7053 1.4783 ms 74.4%
  triton_mm_7050 1.5030 ms 73.2%
  triton_mm_7045 1.8700 ms 58.8%
  triton_mm_7046 1.9020 ms 57.8%
SingleProcess AUTOTUNE benchmarking takes 2.1931 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_7074 0.8601 ms 100.0%
  bias_addmm 0.8892 ms 96.7%
  triton_mm_7071 1.0401 ms 82.7%
  triton_mm_7067 1.0593 ms 81.2%
  addmm 1.0846 ms 79.3%
  triton_mm_7075 1.0909 ms 78.8%
  triton_mm_7072 1.1564 ms 74.4%
  triton_mm_7068 1.1583 ms 74.3%
  triton_mm_7069 1.1950 ms 72.0%
  triton_mm_7064 1.4155 ms 60.8%
SingleProcess AUTOTUNE benchmarking takes 2.2843 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  triton_mm_7107 0.0475 ms 100.0%
  triton_mm_7106 0.0481 ms 98.7%
  mm 0.0482 ms 98.5%
  triton_mm_7105 0.0497 ms 95.4%
  triton_mm_7109 0.0509 ms 93.3%
  triton_mm_7103 0.0519 ms 91.4%
  triton_mm_7110 0.0528 ms 89.8%
  triton_mm_7099 0.0559 ms 84.9%
  triton_mm_7098 0.0572 ms 83.0%
  triton_mm_7102 0.0622 ms 76.3%
SingleProcess AUTOTUNE benchmarking takes 1.6843 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1002 ms 100.0%
  triton_mm_7148 1.1261 ms 97.7%
  triton_mm_7149 1.3397 ms 82.1%
  triton_mm_7141 1.4085 ms 78.1%
  triton_mm_7145 1.4123 ms 77.9%
  triton_mm_7146 1.4788 ms 74.4%
  triton_mm_7142 1.4802 ms 74.3%
  triton_mm_7143 1.5080 ms 73.0%
  triton_mm_7138 1.8844 ms 58.4%
  triton_mm_7139 1.9045 ms 57.8%
SingleProcess AUTOTUNE benchmarking takes 2.1966 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x2560)
  triton_mm_7563 0.0243 ms 100.0%
  triton_mm_7564 0.0243 ms 99.9%
  mm 0.0255 ms 95.2%
  triton_mm_7568 0.0263 ms 92.3%
  triton_mm_7562 0.0273 ms 89.0%
  triton_mm_7575 0.0280 ms 86.7%
  triton_mm_7572 0.0289 ms 83.9%
  triton_mm_7574 0.0315 ms 77.1%
  triton_mm_7571 0.0315 ms 77.0%
  triton_mm_7570 0.0353 ms 68.7%
SingleProcess AUTOTUNE benchmarking takes 1.6732 seconds and 0.0011 seconds precompiling
AUTOTUNE addmm(10296x32768, 10296x1280, 1280x32768)
  triton_mm_7632 7.1745 ms 100.0%
  bias_addmm 7.2408 ms 99.1%
  addmm 8.6690 ms 82.8%
  triton_mm_7629 8.8067 ms 81.5%
  triton_mm_7625 9.0882 ms 78.9%
  triton_mm_7633 9.1420 ms 78.5%
  triton_mm_7630 9.7394 ms 73.7%
  triton_mm_7626 9.7834 ms 73.3%
  triton_mm_7627 10.0048 ms 71.7%
  triton_mm_7631 12.0602 ms 59.5%
SingleProcess AUTOTUNE benchmarking takes 3.3125 seconds and 0.0013 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   2%|2         | 1/44 [02:42<1:56:45, 162.92s/it]AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5827 1.1232 ms 100.0%
  mm 1.2628 ms 88.9%
  triton_mm_5824 1.3740 ms 81.8%
  triton_mm_5820 1.3896 ms 80.8%
  triton_mm_5828 1.4340 ms 78.3%
  triton_mm_5825 1.5175 ms 74.0%
  triton_mm_5821 1.5244 ms 73.7%
  triton_mm_5822 1.5584 ms 72.1%
  triton_mm_5817 1.8490 ms 60.7%
  triton_mm_5818 1.9254 ms 58.3%
SingleProcess AUTOTUNE benchmarking takes 2.1813 seconds and 0.0015 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5920 1.1346 ms 100.0%
  mm 1.1644 ms 97.4%
  triton_mm_5917 1.3736 ms 82.6%
  triton_mm_5913 1.4043 ms 80.8%
  triton_mm_5921 1.4336 ms 79.1%
  triton_mm_5918 1.5185 ms 74.7%
  triton_mm_5914 1.5251 ms 74.4%
  triton_mm_5915 1.5611 ms 72.7%
  triton_mm_5910 1.8490 ms 61.4%
  triton_mm_5911 1.9257 ms 58.9%
SingleProcess AUTOTUNE benchmarking takes 2.1942 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_6664 1.1352 ms 100.0%
  mm 1.1678 ms 97.2%
  triton_mm_6661 1.3749 ms 82.6%
  triton_mm_6657 1.4036 ms 80.9%
  triton_mm_6665 1.4323 ms 79.3%
  triton_mm_6662 1.5179 ms 74.8%
  triton_mm_6658 1.5248 ms 74.4%
  triton_mm_6659 1.5733 ms 72.2%
  triton_mm_6654 1.8500 ms 61.4%
  triton_mm_6655 1.9268 ms 58.9%
SingleProcess AUTOTUNE benchmarking takes 2.1929 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  mm 0.0472 ms 100.0%
  triton_mm_5733 0.0474 ms 99.5%
  triton_mm_5732 0.0477 ms 98.9%
  triton_mm_5735 0.0498 ms 94.8%
  triton_mm_5731 0.0505 ms 93.5%
  triton_mm_5729 0.0519 ms 90.9%
  triton_mm_5736 0.0526 ms 89.7%
  triton_mm_5725 0.0564 ms 83.7%
  triton_mm_5724 0.0575 ms 82.0%
  triton_mm_5728 0.0614 ms 76.8%
SingleProcess AUTOTUNE benchmarking takes 1.6549 seconds and 0.0010 seconds precompiling
AUTOTUNE mm(10260x28, 28x1280)
  triton_mm_5747 0.0398 ms 100.0%
  triton_mm_5750 0.0399 ms 99.8%
  triton_mm_5745 0.0408 ms 97.6%
  triton_mm_5746 0.0408 ms 97.6%
  triton_mm_5748 0.0410 ms 97.1%
  triton_mm_5751 0.0410 ms 97.1%
  triton_mm_5743 0.0433 ms 91.9%
  triton_mm_5754 0.0435 ms 91.5%
  triton_mm_5742 0.0445 ms 89.4%
  triton_mm_5741 0.0453 ms 87.8%
SingleProcess AUTOTUNE benchmarking takes 2.1157 seconds and 0.0009 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_5772 0.8556 ms 100.0%
  bias_addmm 0.8850 ms 96.7%
  triton_mm_5769 1.0374 ms 82.5%
  triton_mm_5765 1.0555 ms 81.1%
  addmm 1.0820 ms 79.1%
  triton_mm_5773 1.0961 ms 78.1%
  triton_mm_5770 1.1447 ms 74.7%
  triton_mm_5766 1.1669 ms 73.3%
  triton_mm_5767 1.1926 ms 71.7%
  triton_mm_5762 1.3963 ms 61.3%
SingleProcess AUTOTUNE benchmarking takes 2.2742 seconds and 0.0014 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_5791 0.2999 ms 100.0%
  mm 0.3145 ms 95.4%
  triton_mm_5784 0.3486 ms 86.0%
  triton_mm_5788 0.3511 ms 85.4%
  triton_mm_5785 0.3780 ms 79.3%
  triton_mm_5792 0.3780 ms 79.3%
  triton_mm_5789 0.3845 ms 78.0%
  triton_mm_5786 0.3928 ms 76.3%
  triton_mm_5781 0.4665 ms 64.3%
  triton_mm_5782 0.4823 ms 62.2%
SingleProcess AUTOTUNE benchmarking takes 2.0421 seconds and 0.0017 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1036 ms 100.0%
  triton_mm_5846 1.1292 ms 97.7%
  triton_mm_5847 1.3418 ms 82.2%
  triton_mm_5839 1.4102 ms 78.3%
  triton_mm_5843 1.4275 ms 77.3%
  triton_mm_5840 1.4767 ms 74.7%
  triton_mm_5844 1.4849 ms 74.3%
  triton_mm_5841 1.5054 ms 73.3%
  triton_mm_5836 1.8746 ms 58.9%
  triton_mm_5837 1.9045 ms 57.9%
SingleProcess AUTOTUNE benchmarking takes 2.2075 seconds and 0.0013 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_6981 0.8652 ms 100.0%
  bias_addmm 0.8858 ms 97.7%
  triton_mm_6978 1.0376 ms 83.4%
  triton_mm_6974 1.0557 ms 82.0%
  addmm 1.0862 ms 79.7%
  triton_mm_6982 1.1036 ms 78.4%
  triton_mm_6979 1.1443 ms 75.6%
  triton_mm_6975 1.1573 ms 74.8%
  triton_mm_6976 1.1957 ms 72.4%
  triton_mm_6971 1.4119 ms 61.3%
SingleProcess AUTOTUNE benchmarking takes 2.2816 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_7000 0.2994 ms 100.0%
  mm 0.3147 ms 95.1%
  triton_mm_6993 0.3491 ms 85.8%
  triton_mm_6997 0.3528 ms 84.9%
  triton_mm_7001 0.3780 ms 79.2%
  triton_mm_6994 0.3798 ms 78.8%
  triton_mm_6998 0.3853 ms 77.7%
  triton_mm_6995 0.3918 ms 76.4%
  triton_mm_6990 0.4625 ms 64.7%
  triton_mm_6991 0.4827 ms 62.0%
SingleProcess AUTOTUNE benchmarking takes 2.0357 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  triton_mm_7013 0.0477 ms 100.0%
  triton_mm_7014 0.0477 ms 99.9%
  mm 0.0478 ms 99.8%
  triton_mm_7012 0.0494 ms 96.5%
  triton_mm_7016 0.0498 ms 95.8%
  triton_mm_7010 0.0521 ms 91.6%
  triton_mm_7017 0.0531 ms 89.9%
  triton_mm_7006 0.0558 ms 85.4%
  triton_mm_7005 0.0576 ms 82.8%
  triton_mm_7009 0.0621 ms 76.7%
SingleProcess AUTOTUNE benchmarking takes 1.6743 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1004 ms 100.0%
  triton_mm_7055 1.1288 ms 97.5%
  triton_mm_7056 1.3357 ms 82.4%
  triton_mm_7048 1.4077 ms 78.2%
  triton_mm_7052 1.4153 ms 77.7%
  triton_mm_7053 1.4856 ms 74.1%
  triton_mm_7049 1.4964 ms 73.5%
  triton_mm_7050 1.5059 ms 73.1%
  triton_mm_7045 1.8758 ms 58.7%
  triton_mm_7046 1.9038 ms 57.8%
SingleProcess AUTOTUNE benchmarking takes 2.1992 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x2560)
  triton_mm_7563 0.0242 ms 100.0%
  triton_mm_7564 0.0245 ms 98.7%
  mm 0.0256 ms 94.4%
  triton_mm_7568 0.0264 ms 91.6%
  triton_mm_7562 0.0274 ms 88.2%
  triton_mm_7575 0.0289 ms 83.6%
  triton_mm_7572 0.0301 ms 80.4%
  triton_mm_7571 0.0317 ms 76.3%
  triton_mm_7574 0.0325 ms 74.5%
  triton_mm_7570 0.0354 ms 68.3%
SingleProcess AUTOTUNE benchmarking takes 1.6614 seconds and 0.0010 seconds precompiling
AUTOTUNE addmm(10296x32768, 10296x1280, 1280x32768)
  triton_mm_7632 7.2738 ms 100.0%
  bias_addmm 7.3397 ms 99.1%
  addmm 8.6734 ms 83.9%
  triton_mm_7629 8.8079 ms 82.6%
  triton_mm_7625 8.9918 ms 80.9%
  triton_mm_7633 9.1333 ms 79.6%
  triton_mm_7630 9.6491 ms 75.4%
  triton_mm_7626 9.8012 ms 74.2%
  triton_mm_7627 10.0111 ms 72.7%
  triton_mm_7622 11.8938 ms 61.2%
SingleProcess AUTOTUNE benchmarking takes 3.2770 seconds and 0.0011 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   2%|2         | 1/44 [02:42<1:56:46, 162.94s/it]AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5827 1.1080 ms 100.0%
  mm 1.2670 ms 87.5%
  triton_mm_5824 1.3594 ms 81.5%
  triton_mm_5820 1.4061 ms 78.8%
  triton_mm_5828 1.4106 ms 78.5%
  triton_mm_5825 1.5011 ms 73.8%
  triton_mm_5821 1.5079 ms 73.5%
  triton_mm_5822 1.5501 ms 71.5%
  triton_mm_5817 1.8517 ms 59.8%
  triton_mm_5818 1.9332 ms 57.3%
SingleProcess AUTOTUNE benchmarking takes 2.1833 seconds and 0.0019 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5920 1.1064 ms 100.0%
  mm 1.1744 ms 94.2%
  triton_mm_5917 1.3750 ms 80.5%
  triton_mm_5913 1.3904 ms 79.6%
  triton_mm_5921 1.4063 ms 78.7%
  triton_mm_5918 1.5062 ms 73.5%
  triton_mm_5914 1.5069 ms 73.4%
  triton_mm_5915 1.5528 ms 71.3%
  triton_mm_5910 1.8317 ms 60.4%
  triton_mm_5911 1.9115 ms 57.9%
SingleProcess AUTOTUNE benchmarking takes 2.1851 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_6013 1.1131 ms 100.0%
  mm 1.2675 ms 87.8%
  triton_mm_6010 1.3810 ms 80.6%
  triton_mm_6006 1.3890 ms 80.1%
  triton_mm_6014 1.4149 ms 78.7%
  triton_mm_6007 1.5061 ms 73.9%
  triton_mm_6011 1.5176 ms 73.3%
  triton_mm_6008 1.5565 ms 71.5%
  triton_mm_6003 1.8300 ms 60.8%
  triton_mm_6004 1.9106 ms 58.3%
SingleProcess AUTOTUNE benchmarking takes 2.1805 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_6478 1.1197 ms 100.0%
  mm 1.1561 ms 96.9%
  triton_mm_6475 1.3804 ms 81.1%
  triton_mm_6471 1.3898 ms 80.6%
  triton_mm_6479 1.4216 ms 78.8%
  triton_mm_6476 1.5015 ms 74.6%
  triton_mm_6472 1.5089 ms 74.2%
  triton_mm_6473 1.5550 ms 72.0%
  triton_mm_6468 1.8321 ms 61.1%
  triton_mm_6469 1.9126 ms 58.5%
SingleProcess AUTOTUNE benchmarking takes 2.1865 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_7408 1.1197 ms 100.0%
  mm 1.1604 ms 96.5%
  triton_mm_7405 1.3750 ms 81.4%
  triton_mm_7401 1.3896 ms 80.6%
  triton_mm_7409 1.4185 ms 78.9%
  triton_mm_7406 1.5012 ms 74.6%
  triton_mm_7402 1.5244 ms 73.5%
  triton_mm_7403 1.5608 ms 71.7%
  triton_mm_7398 1.8318 ms 61.1%
  triton_mm_7399 1.9128 ms 58.5%
SingleProcess AUTOTUNE benchmarking takes 2.1884 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  triton_mm_5733 0.0475 ms 100.0%
  mm 0.0481 ms 98.7%
  triton_mm_5732 0.0483 ms 98.3%
  triton_mm_5735 0.0510 ms 93.1%
  triton_mm_5731 0.0512 ms 92.7%
  triton_mm_5729 0.0522 ms 90.9%
  triton_mm_5736 0.0526 ms 90.2%
  triton_mm_5725 0.0562 ms 84.4%
  triton_mm_5724 0.0577 ms 82.2%
  triton_mm_5728 0.0623 ms 76.1%
SingleProcess AUTOTUNE benchmarking takes 1.6545 seconds and 0.0013 seconds precompiling
AUTOTUNE mm(10260x28, 28x1280)
  triton_mm_5751 0.0397 ms 100.0%
  triton_mm_5746 0.0397 ms 99.9%
  triton_mm_5748 0.0400 ms 99.1%
  triton_mm_5745 0.0409 ms 97.0%
  triton_mm_5747 0.0409 ms 97.0%
  triton_mm_5750 0.0412 ms 96.3%
  triton_mm_5754 0.0428 ms 92.8%
  triton_mm_5743 0.0436 ms 90.9%
  triton_mm_5741 0.0455 ms 87.2%
  triton_mm_5753 0.0456 ms 87.0%
SingleProcess AUTOTUNE benchmarking takes 2.1065 seconds and 0.0009 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_5772 0.8491 ms 100.0%
  bias_addmm 0.8874 ms 95.7%
  triton_mm_5769 1.0291 ms 82.5%
  triton_mm_5765 1.0462 ms 81.2%
  addmm 1.0772 ms 78.8%
  triton_mm_5773 1.0821 ms 78.5%
  triton_mm_5770 1.1459 ms 74.1%
  triton_mm_5766 1.1539 ms 73.6%
  triton_mm_5767 1.1820 ms 71.8%
  triton_mm_5762 1.3994 ms 60.7%
SingleProcess AUTOTUNE benchmarking takes 2.2723 seconds and 0.0016 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_5791 0.2953 ms 100.0%
  mm 0.3100 ms 95.2%
  triton_mm_5784 0.3452 ms 85.5%
  triton_mm_5788 0.3490 ms 84.6%
  triton_mm_5785 0.3767 ms 78.4%
  triton_mm_5792 0.3773 ms 78.3%
  triton_mm_5789 0.3825 ms 77.2%
  triton_mm_5786 0.4009 ms 73.6%
  triton_mm_5781 0.4612 ms 64.0%
  triton_mm_5782 0.4808 ms 61.4%
SingleProcess AUTOTUNE benchmarking takes 2.0358 seconds and 0.0023 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1026 ms 100.0%
  triton_mm_5846 1.1138 ms 99.0%
  triton_mm_5847 1.3263 ms 83.1%
  triton_mm_5839 1.3928 ms 79.2%
  triton_mm_5843 1.3993 ms 78.8%
  triton_mm_5840 1.4645 ms 75.3%
  triton_mm_5844 1.4654 ms 75.2%
  triton_mm_5841 1.4999 ms 73.5%
  triton_mm_5836 1.8540 ms 59.5%
  triton_mm_5837 1.9052 ms 57.9%
SingleProcess AUTOTUNE benchmarking takes 2.1965 seconds and 0.0022 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_6330 0.8494 ms 100.0%
  bias_addmm 0.8785 ms 96.7%
  triton_mm_6327 1.0296 ms 82.5%
  triton_mm_6323 1.0472 ms 81.1%
  addmm 1.0726 ms 79.2%
  triton_mm_6331 1.0938 ms 77.7%
  triton_mm_6328 1.1463 ms 74.1%
  triton_mm_6324 1.1542 ms 73.6%
  triton_mm_6325 1.1825 ms 71.8%
  triton_mm_6320 1.3988 ms 60.7%
SingleProcess AUTOTUNE benchmarking takes 2.2745 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_6349 0.2965 ms 100.0%
  mm 0.3113 ms 95.2%
  triton_mm_6342 0.3461 ms 85.7%
  triton_mm_6346 0.3503 ms 84.6%
  triton_mm_6343 0.3758 ms 78.9%
  triton_mm_6350 0.3779 ms 78.5%
  triton_mm_6347 0.3812 ms 77.8%
  triton_mm_6344 0.3992 ms 74.3%
  triton_mm_6339 0.4655 ms 63.7%
  triton_mm_6340 0.4805 ms 61.7%
SingleProcess AUTOTUNE benchmarking takes 2.0305 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  triton_mm_6363 0.0480 ms 100.0%
  mm 0.0481 ms 99.8%
  triton_mm_6362 0.0482 ms 99.6%
  triton_mm_6365 0.0508 ms 94.4%
  triton_mm_6361 0.0511 ms 93.8%
  triton_mm_6359 0.0515 ms 93.3%
  triton_mm_6366 0.0524 ms 91.5%
  triton_mm_6355 0.0567 ms 84.6%
  triton_mm_6354 0.0572 ms 83.8%
  triton_mm_6358 0.0614 ms 78.1%
SingleProcess AUTOTUNE benchmarking takes 1.6558 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.0922 ms 100.0%
  triton_mm_6404 1.1162 ms 97.8%
  triton_mm_6405 1.3275 ms 82.3%
  triton_mm_6397 1.3953 ms 78.3%
  triton_mm_6401 1.4100 ms 77.5%
  triton_mm_6398 1.4620 ms 74.7%
  triton_mm_6402 1.4813 ms 73.7%
  triton_mm_6399 1.5033 ms 72.7%
  triton_mm_6394 1.8527 ms 59.0%
  triton_mm_6395 1.9032 ms 57.4%
SingleProcess AUTOTUNE benchmarking takes 2.1956 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_6888 0.8506 ms 100.0%
  bias_addmm 0.8816 ms 96.5%
  triton_mm_6885 1.0442 ms 81.5%
  triton_mm_6881 1.0483 ms 81.1%
  addmm 1.0746 ms 79.2%
  triton_mm_6889 1.0931 ms 77.8%
  triton_mm_6886 1.1464 ms 74.2%
  triton_mm_6882 1.1547 ms 73.7%
  triton_mm_6883 1.1845 ms 71.8%
  triton_mm_6878 1.3988 ms 60.8%
SingleProcess AUTOTUNE benchmarking takes 2.2876 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_6907 0.2961 ms 100.0%
  mm 0.3125 ms 94.8%
  triton_mm_6900 0.3462 ms 85.5%
  triton_mm_6904 0.3500 ms 84.6%
  triton_mm_6901 0.3757 ms 78.8%
  triton_mm_6908 0.3776 ms 78.4%
  triton_mm_6905 0.3822 ms 77.5%
  triton_mm_6902 0.3995 ms 74.1%
  triton_mm_6897 0.4620 ms 64.1%
  triton_mm_6898 0.4847 ms 61.1%
SingleProcess AUTOTUNE benchmarking takes 2.0579 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  mm 0.0474 ms 100.0%
  triton_mm_6920 0.0478 ms 99.1%
  triton_mm_6921 0.0481 ms 98.6%
  triton_mm_6923 0.0498 ms 95.1%
  triton_mm_6919 0.0500 ms 94.8%
  triton_mm_6917 0.0514 ms 92.3%
  triton_mm_6924 0.0527 ms 89.9%
  triton_mm_6913 0.0567 ms 83.6%
  triton_mm_6912 0.0572 ms 82.9%
  triton_mm_6916 0.0622 ms 76.1%
SingleProcess AUTOTUNE benchmarking takes 1.6675 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.1030 ms 100.0%
  triton_mm_6962 1.1166 ms 98.8%
  triton_mm_6963 1.3268 ms 83.1%
  triton_mm_6955 1.3959 ms 79.0%
  triton_mm_6959 1.4037 ms 78.6%
  triton_mm_6960 1.4653 ms 75.3%
  triton_mm_6956 1.4780 ms 74.6%
  triton_mm_6957 1.5062 ms 73.2%
  triton_mm_6952 1.8578 ms 59.4%
  triton_mm_6953 1.8847 ms 58.5%
SingleProcess AUTOTUNE benchmarking takes 2.1917 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x2560)
  triton_mm_7564 0.0248 ms 100.0%
  mm 0.0256 ms 97.0%
  triton_mm_7563 0.0257 ms 96.8%
  triton_mm_7562 0.0265 ms 93.6%
  triton_mm_7568 0.0275 ms 90.4%
  triton_mm_7575 0.0288 ms 86.3%
  triton_mm_7572 0.0302 ms 82.2%
  triton_mm_7571 0.0320 ms 77.6%
  triton_mm_7574 0.0325 ms 76.5%
  triton_mm_7570 0.0362 ms 68.5%
SingleProcess AUTOTUNE benchmarking takes 1.6331 seconds and 0.0011 seconds precompiling
AUTOTUNE addmm(10296x32768, 10296x1280, 1280x32768)
  triton_mm_7632 7.1783 ms 100.0%
  bias_addmm 7.2828 ms 98.6%
  addmm 8.5822 ms 83.6%
  triton_mm_7629 8.8649 ms 81.0%
  triton_mm_7625 9.0016 ms 79.7%
  triton_mm_7633 9.1294 ms 78.6%
  triton_mm_7630 9.6362 ms 74.5%
  triton_mm_7626 9.7983 ms 73.3%
  triton_mm_7627 10.0604 ms 71.4%
  triton_mm_7622 11.8732 ms 60.5%
SingleProcess AUTOTUNE benchmarking takes 3.3337 seconds and 0.0013 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   2%|2         | 1/44 [02:42<1:56:46, 162.94s/it]AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5827 1.1331 ms 100.0%
  mm 1.2649 ms 89.6%
  triton_mm_5824 1.3898 ms 81.5%
  triton_mm_5820 1.4007 ms 80.9%
  triton_mm_5828 1.4413 ms 78.6%
  triton_mm_5825 1.5176 ms 74.7%
  triton_mm_5821 1.5371 ms 73.7%
  triton_mm_5822 1.5749 ms 71.9%
  triton_mm_5817 1.8501 ms 61.2%
  triton_mm_5826 1.9334 ms 58.6%
SingleProcess AUTOTUNE benchmarking takes 2.1939 seconds and 0.0017 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x5120)
  triton_mm_5920 1.1334 ms 100.0%
  mm 1.2601 ms 89.9%
  triton_mm_5917 1.3904 ms 81.5%
  triton_mm_5913 1.4077 ms 80.5%
  triton_mm_5921 1.4371 ms 78.9%
  triton_mm_5918 1.5172 ms 74.7%
  triton_mm_5914 1.5561 ms 72.8%
  triton_mm_5915 1.5772 ms 71.9%
  triton_mm_5910 1.8702 ms 60.6%
  triton_mm_5911 1.9252 ms 58.9%
SingleProcess AUTOTUNE benchmarking takes 2.1950 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1280, 1280x7680)
  mm 0.0477 ms 100.0%
  triton_mm_5732 0.0479 ms 99.7%
  triton_mm_5733 0.0480 ms 99.5%
  triton_mm_5735 0.0502 ms 95.1%
  triton_mm_5731 0.0510 ms 93.7%
  triton_mm_5729 0.0515 ms 92.7%
  triton_mm_5736 0.0528 ms 90.4%
  triton_mm_5725 0.0561 ms 85.1%
  triton_mm_5724 0.0571 ms 83.6%
  triton_mm_5728 0.0615 ms 77.6%
SingleProcess AUTOTUNE benchmarking takes 1.6691 seconds and 0.0011 seconds precompiling
AUTOTUNE mm(10260x28, 28x1280)
  triton_mm_5745 0.0395 ms 100.0%
  triton_mm_5751 0.0397 ms 99.3%
  triton_mm_5748 0.0397 ms 99.3%
  triton_mm_5746 0.0403 ms 97.9%
  triton_mm_5747 0.0406 ms 97.2%
  triton_mm_5750 0.0408 ms 96.8%
  triton_mm_5743 0.0420 ms 94.0%
  triton_mm_5754 0.0423 ms 93.3%
  triton_mm_5742 0.0443 ms 89.2%
  triton_mm_5741 0.0451 ms 87.4%
SingleProcess AUTOTUNE benchmarking takes 2.1232 seconds and 0.0010 seconds precompiling
AUTOTUNE addmm(10296x3840, 10296x1280, 1280x3840)
  triton_mm_5772 0.8607 ms 100.0%
  bias_addmm 0.8869 ms 97.0%
  triton_mm_5769 1.0405 ms 82.7%
  triton_mm_5765 1.0705 ms 80.4%
  addmm 1.0857 ms 79.3%
  triton_mm_5773 1.0931 ms 78.7%
  triton_mm_5770 1.1578 ms 74.3%
  triton_mm_5766 1.1676 ms 73.7%
  triton_mm_5767 1.1951 ms 72.0%
  triton_mm_5762 1.4140 ms 60.9%
SingleProcess AUTOTUNE benchmarking takes 2.2848 seconds and 0.0017 seconds precompiling
AUTOTUNE mm(10296x1280, 1280x1280)
  triton_mm_5791 0.3002 ms 100.0%
  mm 0.3152 ms 95.2%
  triton_mm_5784 0.3501 ms 85.7%
  triton_mm_5788 0.3551 ms 84.5%
  triton_mm_5792 0.3773 ms 79.6%
  triton_mm_5785 0.3793 ms 79.2%
  triton_mm_5789 0.3864 ms 77.7%
  triton_mm_5786 0.3960 ms 75.8%
  triton_mm_5781 0.4675 ms 64.2%
  triton_mm_5782 0.4852 ms 61.9%
SingleProcess AUTOTUNE benchmarking takes 2.0482 seconds and 0.0027 seconds precompiling
AUTOTUNE mm(10296x5120, 5120x1280)
  mm 1.0927 ms 100.0%
  triton_mm_5846 1.1300 ms 96.7%
  triton_mm_5847 1.3416 ms 81.4%
  triton_mm_5839 1.4136 ms 77.3%
  triton_mm_5843 1.4268 ms 76.6%
  triton_mm_5844 1.4834 ms 73.7%
  triton_mm_5840 1.4869 ms 73.5%
  triton_mm_5841 1.5185 ms 72.0%
  triton_mm_5836 1.9003 ms 57.5%
  triton_mm_5837 1.9078 ms 57.3%
SingleProcess AUTOTUNE benchmarking takes 2.1925 seconds and 0.0018 seconds precompiling
AUTOTUNE mm(36x1280, 1280x2560)
  triton_mm_7564 0.0244 ms 100.0%
  triton_mm_7563 0.0246 ms 99.1%
  mm 0.0266 ms 91.6%
  triton_mm_7568 0.0273 ms 89.4%
  triton_mm_7562 0.0274 ms 89.1%
  triton_mm_7575 0.0280 ms 87.1%
  triton_mm_7572 0.0300 ms 81.3%
  triton_mm_7571 0.0315 ms 77.4%
  triton_mm_7574 0.0325 ms 74.9%
  triton_mm_7570 0.0363 ms 67.2%
SingleProcess AUTOTUNE benchmarking takes 1.6477 seconds and 0.0011 seconds precompiling
AUTOTUNE addmm(10296x32768, 10296x1280, 1280x32768)
  bias_addmm 7.2502 ms 100.0%
  triton_mm_7632 7.2855 ms 99.5%
  addmm 8.6030 ms 84.3%
  triton_mm_7629 8.8372 ms 82.0%
  triton_mm_7625 9.0296 ms 80.3%
  triton_mm_7633 9.1530 ms 79.2%
  triton_mm_7630 9.7682 ms 74.2%
  triton_mm_7626 9.8352 ms 73.7%
  triton_mm_7627 10.0886 ms 71.9%
  triton_mm_7631 12.1840 ms 59.5%
SingleProcess AUTOTUNE benchmarking takes 3.2885 seconds and 0.0011 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   2%|2         | 1/44 [02:43<1:56:52, 163.07s/it]/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/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   5%|4         | 2/44 [02:46<48:16, 68.97s/it]   /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/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   5%|4         | 2/44 [02:46<48:16, 68.97s/it]   /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/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   5%|4         | 2/44 [02:46<48:17, 68.98s/it]   /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/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: 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:   5%|4         | 2/44 [02:46<48:19, 69.03s/it]   /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):

Validation Progress:   7%|6         | 3/44 [02:47<25:58, 38.01s/it]/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):

Validation Progress:   7%|6         | 3/44 [02:47<25:58, 38.02s/it]/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):

Validation Progress:   7%|6         | 3/44 [02:47<25:58, 38.02s/it]/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):

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 66%|######5   | 103/157 [00:07<00:03, 16.74it/s]
 67%|######6   | 105/157 [00:07<00:03, 16.40it/s]
 68%|######8   | 107/157 [00:07<00:03, 16.57it/s]
 69%|######9   | 109/157 [00:07<00:02, 16.52it/s]
 71%|#######   | 111/157 [00:07<00:02, 16.55it/s]
 72%|#######1  | 113/157 [00:08<00:02, 16.52it/s]
 73%|#######3  | 115/157 [00:08<00:02, 16.67it/s]
 75%|#######4  | 117/157 [00:08<00:02, 16.72it/s]
 76%|#######5  | 119/157 [00:08<00:02, 16.76it/s]
 77%|#######7  | 121/157 [00:08<00:02, 16.87it/s]
 78%|#######8  | 123/157 [00:08<00:02, 16.97it/s]
 80%|#######9  | 125/157 [00:08<00:01, 17.00it/s]
 81%|########  | 127/157 [00:08<00:01, 17.03it/s]
 82%|########2 | 129/157 [00:08<00:01, 16.90it/s]
 83%|########3 | 131/157 [00:09<00:01, 16.89it/s]
 85%|########4 | 133/157 [00:09<00:01, 14.39it/s]
 86%|########5 | 135/157 [00:09<00:01, 15.09it/s]
 87%|########7 | 137/157 [00:09<00:01, 15.61it/s]
 89%|########8 | 139/157 [00:09<00:01, 15.98it/s]
 90%|########9 | 141/157 [00:09<00:00, 16.22it/s]
 91%|#########1| 143/157 [00:09<00:00, 16.43it/s]
 92%|#########2| 145/157 [00:09<00:00, 16.41it/s]
 94%|#########3| 147/157 [00:10<00:00, 16.55it/s]
 95%|#########4| 149/157 [00:10<00:00, 16.52it/s]
 96%|#########6| 151/157 [00:10<00:00, 16.61it/s]
 97%|#########7| 153/157 [00:10<00:00, 16.72it/s]
 99%|#########8| 155/157 [00:10<00:00, 16.67it/s]
100%|##########| 157/157 [00:11<00:00,  6.24it/s]
100%|##########| 157/157 [00:11<00:00, 13.81it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:49, 15.85it/s]
  1%|          | 4/781 [00:00<00:48, 16.00it/s]
  1%|          | 6/781 [00:00<00:48, 15.97it/s]
  1%|1         | 8/781 [00:00<00:48, 15.90it/s]
  1%|1         | 10/781 [00:00<00:48, 15.94it/s]
  2%|1         | 12/781 [00:00<00:48, 15.96it/s]
  2%|1         | 14/781 [00:00<00:48, 15.86it/s]
  2%|2         | 16/781 [00:01<00:48, 15.80it/s]
  2%|2         | 18/781 [00:01<00:48, 15.90it/s]
  3%|2         | 20/781 [00:01<00:48, 15.85it/s]
  3%|2         | 22/781 [00:01<00:47, 15.87it/s]
  3%|3         | 24/781 [00:01<00:47, 15.90it/s]
  3%|3         | 26/781 [00:01<00:47, 15.96it/s]
  4%|3         | 28/781 [00:01<00:47, 15.82it/s]
  4%|3         | 30/781 [00:01<00:47, 15.88it/s]
  4%|4         | 32/781 [00:02<00:46, 15.94it/s]
  4%|4         | 34/781 [00:02<00:47, 15.84it/s]
  5%|4         | 36/781 [00:02<00:46, 15.88it/s]
  5%|4         | 38/781 [00:02<00:46, 15.92it/s]
  5%|5         | 40/781 [00:02<00:47, 15.63it/s]
  5%|5         | 42/781 [00:02<00:47, 15.62it/s]
  6%|5         | 44/781 [00:02<00:47, 15.64it/s]
  6%|5         | 46/781 [00:02<00:46, 15.67it/s]
  6%|6         | 48/781 [00:03<00:46, 15.64it/s]
  6%|6         | 50/781 [00:03<00:46, 15.71it/s]
  7%|6         | 52/781 [00:03<00:46, 15.75it/s]
  7%|6         | 54/781 [00:03<00:45, 15.81it/s]
  7%|7         | 56/781 [00:03<00:45, 15.86it/s]
  7%|7         | 58/781 [00:03<00:46, 15.62it/s]
  8%|7         | 60/781 [00:03<00:46, 15.62it/s]
  8%|7         | 62/781 [00:03<00:45, 15.69it/s]
  8%|8         | 64/781 [00:04<00:45, 15.82it/s]
  8%|8         | 66/781 [00:04<00:45, 15.78it/s]
  9%|8         | 68/781 [00:04<00:45, 15.70it/s]
  9%|8         | 70/781 [00:04<00:45, 15.71it/s]
  9%|9         | 72/781 [00:04<00:45, 15.63it/s]
  9%|9         | 74/781 [00:04<00:45, 15.63it/s]
 10%|9         | 76/781 [00:04<00:45, 15.66it/s]
 10%|9         | 78/781 [00:04<00:45, 15.52it/s]
 10%|#         | 80/781 [00:05<00:45, 15.58it/s]
 10%|#         | 82/781 [00:05<00:44, 15.62it/s]
 11%|#         | 84/781 [00:05<00:44, 15.71it/s]
 11%|#1        | 86/781 [00:05<00:43, 15.82it/s]
 11%|#1        | 88/781 [00:05<00:43, 15.87it/s]
 12%|#1        | 90/781 [00:05<00:43, 15.88it/s]
 12%|#1        | 92/781 [00:05<00:43, 15.96it/s]
 12%|#2        | 94/781 [00:05<00:43, 15.92it/s]
 12%|#2        | 96/781 [00:06<00:42, 15.97it/s]
 13%|#2        | 98/781 [00:06<00:42, 15.91it/s]
 13%|#2        | 100/781 [00:06<00:42, 15.97it/s]
 13%|#3        | 102/781 [00:06<00:42, 16.01it/s]
 13%|#3        | 104/781 [00:06<00:42, 16.01it/s]
 14%|#3        | 106/781 [00:06<00:42, 15.90it/s]
 14%|#3        | 108/781 [00:06<00:42, 15.90it/s]
 14%|#4        | 110/781 [00:06<00:42, 15.79it/s]
 14%|#4        | 112/781 [00:07<00:42, 15.89it/s]
 15%|#4        | 114/781 [00:07<00:41, 15.93it/s]
 15%|#4        | 116/781 [00:07<00:41, 15.93it/s]
 15%|#5        | 118/781 [00:07<00:41, 15.90it/s]
 15%|#5        | 120/781 [00:07<00:42, 15.70it/s]
 16%|#5        | 122/781 [00:07<00:41, 15.81it/s]
 16%|#5        | 124/781 [00:07<00:41, 15.88it/s]
 16%|#6        | 126/781 [00:07<00:41, 15.91it/s]
 16%|#6        | 128/781 [00:08<00:40, 15.98it/s]
 17%|#6        | 130/781 [00:08<00:40, 15.91it/s]
 17%|#6        | 132/781 [00:08<00:41, 15.51it/s]
 17%|#7        | 134/781 [00:08<00:42, 15.25it/s]
 17%|#7        | 136/781 [00:08<00:41, 15.36it/s]
 18%|#7        | 138/781 [00:08<00:42, 15.31it/s]
 18%|#7        | 140/781 [00:08<00:41, 15.53it/s]
 18%|#8        | 142/781 [00:09<00:41, 15.48it/s]
 18%|#8        | 144/781 [00:09<00:41, 15.53it/s]
 19%|#8        | 146/781 [00:09<00:40, 15.57it/s]
 19%|#8        | 148/781 [00:09<00:40, 15.63it/s]
 19%|#9        | 150/781 [00:09<00:40, 15.60it/s]
 19%|#9        | 152/781 [00:09<00:40, 15.58it/s]
 20%|#9        | 154/781 [00:09<00:39, 15.79it/s]
 20%|#9        | 156/781 [00:09<00:39, 15.98it/s]
 20%|##        | 158/781 [00:10<00:38, 16.00it/s]
 20%|##        | 160/781 [00:10<00:39, 15.85it/s]
 21%|##        | 162/781 [00:10<00:38, 16.21it/s]
 21%|##        | 164/781 [00:10<00:37, 16.39it/s]
 21%|##1       | 166/781 [00:10<00:37, 16.41it/s]
 22%|##1       | 168/781 [00:10<00:37, 16.42it/s]
 22%|##1       | 170/781 [00:10<00:36, 16.60it/s]
 22%|##2       | 172/781 [00:10<00:36, 16.69it/s]
 22%|##2       | 174/781 [00:10<00:36, 16.77it/s]
 23%|##2       | 176/781 [00:11<00:36, 16.78it/s]
 23%|##2       | 178/781 [00:11<00:35, 16.75it/s]
 23%|##3       | 180/781 [00:11<00:36, 16.66it/s]
 23%|##3       | 182/781 [00:11<00:35, 16.68it/s]
 24%|##3       | 184/781 [00:11<00:35, 16.71it/s]
 24%|##3       | 186/781 [00:11<00:35, 16.79it/s]
 24%|##4       | 188/781 [00:11<00:35, 16.74it/s]
 24%|##4       | 190/781 [00:11<00:35, 16.82it/s]
 25%|##4       | 192/781 [00:12<00:34, 16.89it/s]
 25%|##4       | 194/781 [00:12<00:34, 16.84it/s]
 25%|##5       | 196/781 [00:12<00:34, 16.96it/s]
 25%|##5       | 198/781 [00:12<00:34, 16.83it/s]
 26%|##5       | 200/781 [00:12<00:34, 16.87it/s]
 26%|##5       | 202/781 [00:12<00:34, 16.87it/s]
 26%|##6       | 204/781 [00:12<00:34, 16.90it/s]
 26%|##6       | 206/781 [00:12<00:34, 16.49it/s]
 27%|##6       | 208/781 [00:13<00:34, 16.40it/s]
 27%|##6       | 210/781 [00:13<00:34, 16.47it/s]
 27%|##7       | 212/781 [00:13<00:34, 16.51it/s]
 27%|##7       | 214/781 [00:13<00:34, 16.44it/s]
 28%|##7       | 216/781 [00:13<00:34, 16.41it/s]
 28%|##7       | 218/781 [00:13<00:34, 16.55it/s]
 28%|##8       | 220/781 [00:13<00:33, 16.67it/s]
 28%|##8       | 222/781 [00:13<00:33, 16.72it/s]
 29%|##8       | 224/781 [00:13<00:33, 16.76it/s]
 29%|##8       | 226/781 [00:14<00:33, 16.69it/s]
 29%|##9       | 228/781 [00:14<00:32, 16.80it/s]
 29%|##9       | 230/781 [00:14<00:32, 16.94it/s]
 30%|##9       | 232/781 [00:14<00:32, 16.87it/s]
 30%|##9       | 234/781 [00:14<00:32, 16.82it/s]
 30%|###       | 236/781 [00:14<00:32, 16.55it/s]
 30%|###       | 238/781 [00:14<00:32, 16.56it/s]
 31%|###       | 240/781 [00:14<00:32, 16.55it/s]
 31%|###       | 242/781 [00:15<00:32, 16.70it/s]
 31%|###1      | 244/781 [00:15<00:31, 16.81it/s]
 31%|###1      | 246/781 [00:15<00:31, 16.87it/s]
 32%|###1      | 248/781 [00:15<00:31, 17.00it/s]
 32%|###2      | 250/781 [00:15<00:31, 16.95it/s]
 32%|###2      | 252/781 [00:15<00:31, 16.91it/s]
 33%|###2      | 254/781 [00:15<00:31, 16.86it/s]
 33%|###2      | 256/781 [00:15<00:31, 16.73it/s]
 33%|###3      | 258/781 [00:15<00:31, 16.73it/s]
 33%|###3      | 260/781 [00:16<00:31, 16.60it/s]
 34%|###3      | 262/781 [00:16<00:43, 11.85it/s]
 34%|###3      | 264/781 [00:16<00:39, 12.94it/s]
 34%|###4      | 266/781 [00:16<00:37, 13.58it/s]
 34%|###4      | 268/781 [00:16<00:35, 14.32it/s]
 35%|###4      | 270/781 [00:16<00:34, 14.98it/s]
 35%|###4      | 272/781 [00:17<00:32, 15.54it/s]
 35%|###5      | 274/781 [00:17<00:31, 15.98it/s]
 35%|###5      | 276/781 [00:17<00:31, 16.19it/s]
 36%|###5      | 278/781 [00:17<00:30, 16.43it/s]
 36%|###5      | 280/781 [00:17<00:30, 16.54it/s]
 36%|###6      | 282/781 [00:17<00:29, 16.69it/s]
 36%|###6      | 284/781 [00:17<00:29, 16.85it/s]
 37%|###6      | 286/781 [00:17<00:29, 16.99it/s]
 37%|###6      | 288/781 [00:17<00:28, 17.04it/s]
 37%|###7      | 290/781 [00:18<00:28, 16.95it/s]
 37%|###7      | 292/781 [00:18<00:29, 16.81it/s]
 38%|###7      | 294/781 [00:18<00:29, 16.75it/s]
 38%|###7      | 296/781 [00:18<00:29, 16.66it/s]
 38%|###8      | 298/781 [00:18<00:29, 16.49it/s]
 38%|###8      | 300/781 [00:18<00:29, 16.37it/s]
 39%|###8      | 302/781 [00:18<00:28, 16.53it/s]
 39%|###8      | 304/781 [00:18<00:29, 16.38it/s]
 39%|###9      | 306/781 [00:19<00:28, 16.42it/s]
 39%|###9      | 308/781 [00:19<00:28, 16.35it/s]
 40%|###9      | 310/781 [00:19<00:28, 16.55it/s]
 40%|###9      | 312/781 [00:19<00:28, 16.50it/s]
 40%|####      | 314/781 [00:19<00:28, 16.42it/s]
 40%|####      | 316/781 [00:19<00:28, 16.31it/s]
 41%|####      | 318/781 [00:19<00:28, 16.33it/s]
 41%|####      | 320/781 [00:19<00:28, 16.27it/s]
 41%|####1     | 322/781 [00:20<00:28, 16.34it/s]
 41%|####1     | 324/781 [00:20<00:27, 16.47it/s]
 42%|####1     | 326/781 [00:20<00:27, 16.48it/s]
 42%|####1     | 328/781 [00:20<00:27, 16.50it/s]
 42%|####2     | 330/781 [00:20<00:27, 16.57it/s]
 43%|####2     | 332/781 [00:20<00:27, 16.38it/s]
 43%|####2     | 334/781 [00:20<00:27, 16.27it/s]
 43%|####3     | 336/781 [00:20<00:27, 16.21it/s]
 43%|####3     | 338/781 [00:20<00:27, 16.24it/s]
 44%|####3     | 340/781 [00:21<00:27, 16.08it/s]
 44%|####3     | 342/781 [00:21<00:26, 16.26it/s]
 44%|####4     | 344/781 [00:21<00:26, 16.29it/s]
 44%|####4     | 346/781 [00:21<00:27, 15.88it/s]
 45%|####4     | 348/781 [00:21<00:27, 16.03it/s]
 45%|####4     | 350/781 [00:21<00:26, 16.15it/s]
 45%|####5     | 352/781 [00:21<00:26, 16.12it/s]
 45%|####5     | 354/781 [00:21<00:26, 16.23it/s]
 46%|####5     | 356/781 [00:22<00:25, 16.50it/s]
 46%|####5     | 358/781 [00:22<00:25, 16.50it/s]
 46%|####6     | 360/781 [00:22<00:25, 16.49it/s]
 46%|####6     | 362/781 [00:22<00:25, 16.55it/s]
 47%|####6     | 364/781 [00:22<00:25, 16.15it/s]
 47%|####6     | 366/781 [00:22<00:25, 16.08it/s]
 47%|####7     | 368/781 [00:22<00:25, 16.02it/s]
 47%|####7     | 370/781 [00:22<00:25, 15.90it/s]
 48%|####7     | 372/781 [00:23<00:25, 15.94it/s]
 48%|####7     | 374/781 [00:23<00:25, 15.97it/s]
 48%|####8     | 376/781 [00:23<00:25, 16.08it/s]
 48%|####8     | 378/781 [00:23<00:25, 16.11it/s]
 49%|####8     | 380/781 [00:23<00:25, 15.87it/s]
 49%|####8     | 382/781 [00:23<00:25, 15.83it/s]
 49%|####9     | 384/781 [00:23<00:25, 15.78it/s]
 49%|####9     | 386/781 [00:23<00:24, 15.89it/s]
 50%|####9     | 388/781 [00:24<00:24, 15.78it/s]
 50%|####9     | 390/781 [00:24<00:25, 15.61it/s]
 50%|#####     | 392/781 [00:24<00:24, 15.69it/s]
 50%|#####     | 394/781 [00:24<00:24, 15.65it/s]
 51%|#####     | 396/781 [00:24<00:24, 15.69it/s]
 51%|#####     | 398/781 [00:24<00:24, 15.70it/s]
 51%|#####1    | 400/781 [00:24<00:24, 15.56it/s]
 51%|#####1    | 402/781 [00:25<00:24, 15.63it/s]
 52%|#####1    | 404/781 [00:25<00:24, 15.62it/s]
 52%|#####1    | 406/781 [00:25<00:23, 15.69it/s]
 52%|#####2    | 408/781 [00:25<00:23, 15.75it/s]
 52%|#####2    | 410/781 [00:25<00:23, 15.85it/s]
 53%|#####2    | 412/781 [00:25<00:23, 15.93it/s]
 53%|#####3    | 414/781 [00:25<00:23, 15.91it/s]
 53%|#####3    | 416/781 [00:25<00:22, 15.95it/s]
 54%|#####3    | 418/781 [00:26<00:22, 15.95it/s]
 54%|#####3    | 420/781 [00:26<00:22, 16.02it/s]
 54%|#####4    | 422/781 [00:26<00:22, 16.06it/s]
 54%|#####4    | 424/781 [00:26<00:22, 16.00it/s]
 55%|#####4    | 426/781 [00:26<00:22, 15.99it/s]
 55%|#####4    | 428/781 [00:26<00:22, 15.93it/s]
 55%|#####5    | 430/781 [00:26<00:21, 15.98it/s]
 55%|#####5    | 432/781 [00:26<00:21, 16.03it/s]
 56%|#####5    | 434/781 [00:27<00:21, 16.01it/s]
 56%|#####5    | 436/781 [00:27<00:21, 16.03it/s]
 56%|#####6    | 438/781 [00:27<00:21, 15.89it/s]
 56%|#####6    | 440/781 [00:27<00:21, 15.91it/s]
 57%|#####6    | 442/781 [00:27<00:21, 15.94it/s]
 57%|#####6    | 444/781 [00:27<00:21, 15.92it/s]
 57%|#####7    | 446/781 [00:27<00:21, 15.76it/s]
 57%|#####7    | 448/781 [00:27<00:21, 15.78it/s]
 58%|#####7    | 450/781 [00:28<00:21, 15.75it/s]
 58%|#####7    | 452/781 [00:28<00:20, 15.71it/s]
 58%|#####8    | 454/781 [00:28<00:20, 15.82it/s]
 58%|#####8    | 456/781 [00:28<00:20, 15.90it/s]
 59%|#####8    | 458/781 [00:28<00:20, 15.89it/s]
 59%|#####8    | 460/781 [00:28<00:20, 15.89it/s]
 59%|#####9    | 462/781 [00:28<00:20, 15.92it/s]
 59%|#####9    | 464/781 [00:28<00:19, 15.97it/s]
 60%|#####9    | 466/781 [00:29<00:19, 15.85it/s]
 60%|#####9    | 468/781 [00:29<00:19, 15.93it/s]
 60%|######    | 470/781 [00:29<00:19, 15.79it/s]
 60%|######    | 472/781 [00:29<00:19, 15.78it/s]
 61%|######    | 474/781 [00:29<00:19, 15.67it/s]
 61%|######    | 476/781 [00:29<00:19, 15.66it/s]
 61%|######1   | 478/781 [00:29<00:19, 15.36it/s]
 61%|######1   | 480/781 [00:29<00:19, 15.59it/s]
 62%|######1   | 482/781 [00:30<00:19, 15.68it/s]
 62%|######1   | 484/781 [00:30<00:18, 15.85it/s]
 62%|######2   | 486/781 [00:30<00:18, 16.09it/s]
 62%|######2   | 488/781 [00:30<00:18, 16.27it/s]
 63%|######2   | 490/781 [00:30<00:17, 16.20it/s]
 63%|######2   | 492/781 [00:30<00:17, 16.21it/s]
 63%|######3   | 494/781 [00:30<00:17, 16.29it/s]
 64%|######3   | 496/781 [00:30<00:17, 16.43it/s]
 64%|######3   | 498/781 [00:31<00:17, 16.59it/s]
 64%|######4   | 500/781 [00:31<00:16, 16.67it/s]
 64%|######4   | 502/781 [00:31<00:16, 16.70it/s]
 65%|######4   | 504/781 [00:31<00:16, 16.78it/s]
 65%|######4   | 506/781 [00:31<00:16, 16.76it/s]
 65%|######5   | 508/781 [00:31<00:16, 16.80it/s]
 65%|######5   | 510/781 [00:31<00:16, 16.62it/s]
 66%|######5   | 512/781 [00:31<00:16, 16.74it/s]
 66%|######5   | 514/781 [00:31<00:16, 16.54it/s]
 66%|######6   | 516/781 [00:32<00:16, 16.39it/s]
 66%|######6   | 518/781 [00:32<00:16, 16.28it/s]
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