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307 Commits (ead80d33c59ca18acaaa594159ca28b6116e9acb)

Author SHA1 Message Date
Ross Wightman ead80d33c5 Fix typo, naming consistency
3 years ago
Ross Wightman d584e7f617 Support for huggingface hub via create_model and default_cfgs.
3 years ago
Ross Wightman 1f799afcb3 Remove capital letters in model names
3 years ago
AFLALO, Jonathan Isaac 82c1fe958a added hardcorenas model
3 years ago
Ross Wightman f57db99101 Update README, fix iabn pip version print.
3 years ago
Ross Wightman 7ef7788ee9 Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk()
3 years ago
Ross Wightman 317ea3e599 Tweak NFNet, ResNetV2, RexNet feature extraction, use pre-act features for simplicty. Update tests for pytorch 1.8. 0.4.5 version bump.
3 years ago
Ross Wightman 8563609b28 Update notes in ScaledStdConv impl
3 years ago
Ross Wightman 678ba4e0a2 Add NFNet-F model weights ported from DeepMind Haiku impl and new set of models w/ compatible config.
3 years ago
Ross Wightman 4f49b94311 Initial AGC impl. Still testing.
3 years ago
Ross Wightman 5f9aff395c Fix stem width in NFNet-F models, add some more comments, add some 'light' NFNet models for testing.
3 years ago
Ross Wightman d86dbe45c2 Update README.md and few more comments
3 years ago
Ross Wightman 0d253e2c5e Fix issue with nfnet tests, bit more cleanup.
3 years ago
Ross Wightman cb06c7a910 Add NFNet-F models and tweak existing NF models.
3 years ago
Ross Wightman e4de077021 Add first 'Normalizer Free' models. nf_regnet_b1 79.3 @ 288x288 test, and nf_resnet50 80.3 @ 256x256 test (80.68 @ 288x288).
3 years ago
Ross Wightman d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models
3 years ago
Ross Wightman 6853b07bbd Improve RegVGG block identity/vs non for clariy and fix attn usage. Add comments.
3 years ago
Ross Wightman 0356e773f5 Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately.
3 years ago
Reuben 94ca140b67 update collections.abc import
3 years ago
Ross Wightman b4e216e377 Fix a few small things.
3 years ago
Ross Wightman dc85e5a237 Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
3 years ago
Ross Wightman 1bcc69e0ad Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354.
3 years ago
Ross Wightman 9811e229f7 Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
3 years ago
Ross Wightman a39c3ee216
Merge branch 'master' into eca-weights
3 years ago
Ross Wightman 666de85cf1 Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414
3 years ago
Ross Wightman 3b57490a63 Fix some half removed resnet model defs, pooling for ecaresnet269d
3 years ago
Ross Wightman 68a4144882 Add new weights for ecaresnet26t/50t/269d models. Remove distinction between 't' and 'tn' (tiered models), tn is now t. Add test time img size spec to default cfg.
3 years ago
Ross Wightman b9843f954b
Merge pull request #282 from tigert1998/patch-1
3 years ago
hwangdeyu 7a4be5c035 add operator HardSwishJitAutoFn export to onnx
3 years ago
Ross Wightman f0e65e37b7 Fix NF-ResNet101 model defs
3 years ago
Ross Wightman 2de54d174a Fix pool size defs for NFNet models, add a comment.
3 years ago
Ross Wightman 90980de4a9 Fix up a few details in NFResNet models, managed stable training. Add support for gamma gain to be applied in activation or ScaleStdConv. Some tweaks to ScaledStdConv.
3 years ago
Ross Wightman 5a8e1e643e Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
3 years ago
Ross Wightman 38d8f67570 Fix potential issue with change to num_classes arg in train/validate.py defaulting to None (rely on model def / default_cfg)
3 years ago
Ross Wightman bb50ac4708 Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args.
3 years ago
Ross Wightman c16e965037 Add some ViT comments and fix a few minor issues.
3 years ago
Ross Wightman 22748f1a2d Convert samples/targets in ParserImageInTar to numpy arrays, slightly less mem usage for massive datasets. Add a few more se/eca model defs to resnet.py
3 years ago
Ross Wightman 55f7dfa9ea Refactor vision_transformer entrpy fns, add pos embedding resize support for fine tuning, add some deit models for testing
4 years ago
Ross Wightman d55bcc0fee Finishing adding stochastic depth support to BiT ResNetV2 models
4 years ago
Ross Wightman 855d6cc217 More dataset work including factories and a tensorflow datasets (TFDS) wrapper
4 years ago
Ross Wightman 20516abc18 Fix some broken tests for ResNetV2 BiT models
4 years ago
Ross Wightman 59ec7e6a53 Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Ross Wightman 4e2533db77 Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg.
4 years ago
Ross Wightman 0167f749d3 Remove some old __future__ imports
4 years ago
Ross Wightman ce69de70d3 Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models
4 years ago
Ross Wightman 231d04e91a ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.
4 years ago
Ross Wightman 392595c7eb Add pool_size to default cfgs for new models to prevent tests from failing. Add explicit 200D_320 model entrypoint for next benchmark run.
4 years ago
Ross Wightman b1f1228a41 Add ResNet101D, 152D, and 200D weights, remove meh 66d model
4 years ago
Ross Wightman cd72e66eff Bug in last mod for features_only default_cfg
4 years ago
Ross Wightman 867a0e5a04 Add default_cfg back to models wrapped in feature extraction module as per discussion in #294.
4 years ago