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914 Commits (7c2660576d565b7441922265456ec8b050608da3)

Author SHA1 Message Date
Ross Wightman 7c2660576d Tweak init for convnext block using maxxvit/coatnext.
2 years ago
Ross Wightman 1d8d6f6072 Fix two default args in DenseNet blocks... fix #1427
2 years ago
Ross Wightman 527f9a4cb2 Updated to correct maxvit_nano weights...
2 years ago
Ross Wightman b2e8426fca Make k=stride=2 ('avg2') pooling default for coatnet/maxvit. Add weight links. Rename 'combined' partition to 'parallel'.
2 years ago
Ross Wightman 837c68263b For ConvNeXt, use timm internal LayerNorm for fast_norm in non conv_mlp mode
2 years ago
Ross Wightman cac0a4570a More test fixes, pool size for 256x256 maxvit models
2 years ago
Ross Wightman e939ed19b9 Rename internal creation fn for maxvit, has not been just coatnet for a while...
2 years ago
Ross Wightman ffaf97f813 MaxxVit! A very configurable MaxVit and CoAtNet impl with lots of goodies..
2 years ago
Ross Wightman 8c9696c9df More model and test fixes
2 years ago
Ross Wightman ca52108c2b Fix some model support functions
2 years ago
Ross Wightman f332fc2db7 Fix some test failures, torchscript issues
2 years ago
Ross Wightman 6e559e9b5f Add MViT (Multi-Scale) V2
2 years ago
Ross Wightman 43aa84e861 Add 'fast' layer norm that doesn't cast to float32, support APEX LN impl for slight speed gain, update norm and act factories, tweak SE for ability to disable bias (needed by GCVit)
2 years ago
Ross Wightman c486aa71f8 Add GCViT
2 years ago
Ross Wightman fba6ecd39b Add EfficientFormer
2 years ago
Ross Wightman ff4a38e2c3 Add PyramidVisionTransformerV2
2 years ago
Ross Wightman 1d8ada359a Add timm ConvNeXt 'atto' weights, change test resolution for FB ConvNeXt 224x224 weights, add support for different dw kernel_size
2 years ago
Ross Wightman 2544d3b80f ConvNeXt pico, femto, and nano, pico, femto ols (overlapping stem) weights and model defs
2 years ago
Ross Wightman 13565aad50 Add edgenext_base model def & weight link, update to improve ONNX export #1385
2 years ago
Ross Wightman 8ad4bdfa06 Allow ntuple to be used with string values
2 years ago
Ross Wightman 7430a85d07 Update README, bump version to 0.6.8
2 years ago
Ross Wightman ec6a28830f Add DeiT-III 'medium' model defs and weights
2 years ago
Ross Wightman d875a1d3f6 version 0.6.7
2 years ago
Ross Wightman 6f103a442b Add convnext_nano weights, 80.8 @ 224, 81.5 @ 288
2 years ago
Ross Wightman 4042a94f8f Add weights for two 'Edge' block (3x3->1x1) variants of CS3 networks.
2 years ago
Ross Wightman c8f69e04a9
Merge pull request #1365 from veritable-tech/fix-resize-pos-embed
2 years ago
Ceshine Lee 0b64117592 Take `no_emb_class` into account when calling `resize_pos_embed`
2 years ago
Jasha10 56c3a84db3
Update type hint for `register_notrace_module`
2 years ago
Ross Wightman 1b278136c3 Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355
2 years ago
Ross Wightman 909705e7ff Remove some redundant requires_grad=True from nn.Parameter in third party code
2 years ago
Ross Wightman c5e0d1c700 Add dilation support to convnext, allows output_stride=8 and 16 use. Fix #1341
2 years ago
Ross Wightman dc376e3676 Ensure all model entrypoint fn default to `pretrained=False` (a few didn't)
2 years ago
Ross Wightman 23b102064a Add cs3sedarknet_x weights w/ 82.65 @ 288 top1. Add 2 cs3 edgenet models (w/ 3x3-1x1 block), remove aa from cspnet blocks (not needed)
2 years ago
Ross Wightman 0dbd9352ce Add bulk_runner script and updates to benchmark.py and validate.py for better error handling in bulk runs (used for benchmark and validation result runs). Improved batch size decay stepping on retry...
2 years ago
Ross Wightman 92b91af3bb version 0.6.6
2 years ago
Ross Wightman 05313940e2 Add cs3darknet_x, cs3sedarknet_l, and darknetaa53 weights from TPU sessions. Move SE btwn conv1 & conv2 in DarkBlock. Improve SE/attn handling in Csp/DarkNet. Fix leaky_relu bug on older csp models.
2 years ago
nateraw 51cca82aa1 👽 use hf_hub_download instead of cached_download
2 years ago
Ross Wightman 324a4e58b6 disable nvfuser for jit te/legacy modes (for PT 1.12+)
2 years ago
Ross Wightman 2898cf6e41 version 0.6.5 for pypi release
2 years ago
Ross Wightman a45b4bce9a x and xx small edgenext models do benefit from larger test input size
2 years ago
Ross Wightman a8e34051c1 Unbreak gamma remap impacting beit checkpoint load, version bump to 0.6.4
2 years ago
Ross Wightman 1c5cb819f9 bump version to 0.6.3 before merge
2 years ago
Ross Wightman a1cb25066e Add edgnext_small_rw weights trained with swin like recipe. Better than original 'small' but not the recent 'USI' distilled weights.
2 years ago
Ross Wightman 7c7ecd2492 Add --use-train-size flag to force use of train input_size (over test input size) for validation. Default test-time pooling to use train input size (fixes issues).
2 years ago
Ross Wightman ce65a7b29f Update vit_relpos w/ some additional weights, some cleanup to match recent vit updates, more MLP log coord experiments.
2 years ago
Ross Wightman 58621723bd Add CrossStage3 DarkNet (cs3) weights
2 years ago
Ross Wightman 9be0c84715 Change set -> dict w/ None keys for dataset split synonym search, so always consistent if more than 1 exists. Fix #1224
2 years ago
Ross Wightman db0cee9910 Refactor cspnet configuration using dataclasses, update feature extraction for new cs3 variants.
2 years ago
Ross Wightman eca09b8642 Add MobileVitV2 support. Fix #1332. Move GroupNorm1 to common layers (used in poolformer + mobilevitv2). Keep ol custom ConvNeXt LayerNorm2d impl as LayerNormExp2d for reference.
2 years ago
Ross Wightman 06307b8b41 Remove experimental downsample in block support in ConvNeXt. Experiment further before keeping it in.
2 years ago