Ross Wightman
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de97be9146
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Spell out diff between my small and deit small vit models.
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4 years ago |
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Ross Wightman
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f0ffdf89b3
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Add numerous experimental ViT Hybrid models w/ ResNetV2 base. Update the ViT naming for hybrids. Fix #426 for pretrained vit resizing.
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4 years ago |
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Ross Wightman
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0e16d4e9fb
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Add benchmark.py script, and update optimizer factory to be more friendly to use outside of argparse interface.
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4 years ago |
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Ross Wightman
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4bc103f504
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Fix CUDA crash w/ channels-last + CSP models. Remove use of chunk()
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4 years ago |
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Ross Wightman
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48371a33b1
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Create FUNDING.yml
$cale up the training...
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4 years ago |
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Ross Wightman
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da4839530c
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Fix test model filter to include dm_ variants that break GitHub CI limits
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4 years ago |
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Ross Wightman
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8563609b28
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Update notes in ScaledStdConv impl
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4 years ago |
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Ross Wightman
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678ba4e0a2
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Add NFNet-F model weights ported from DeepMind Haiku impl and new set of models w/ compatible config.
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4 years ago |
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Ross Wightman
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4ea5931964
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Merge pull request #437 from rwightman/agc
Adaptive Gradient Clipping (AGC) Impl
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4 years ago |
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Ross Wightman
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361fd0fc40
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Update README.md
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4 years ago |
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Ross Wightman
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9de2ec5e44
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Update README for AGC and bump version to 0.4.4
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4 years ago |
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Ross Wightman
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01653db104
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Missed clip-mode arg for repo train script
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4 years ago |
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Ross Wightman
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4f49b94311
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Initial AGC impl. Still testing.
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4 years ago |
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Ross Wightman
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5f9aff395c
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Fix stem width in NFNet-F models, add some more comments, add some 'light' NFNet models for testing.
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4 years ago |
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Ross Wightman
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4df513c68f
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Merge pull request #427 from rwightman/nfnet
Add NFNet-F models and tweak existing NF models.
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4 years ago |
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Ross Wightman
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d86dbe45c2
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Update README.md and few more comments
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4 years ago |
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Ross Wightman
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0d253e2c5e
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Fix issue with nfnet tests, bit more cleanup.
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4 years ago |
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Ross Wightman
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cb06c7a910
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Add NFNet-F models and tweak existing NF models.
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4 years ago |
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Ross Wightman
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607f9149b1
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Update README.md
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4 years ago |
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Ross Wightman
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e4de077021
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Add first 'Normalizer Free' models. nf_regnet_b1 79.3 @ 288x288 test, and nf_resnet50 80.3 @ 256x256 test (80.68 @ 288x288).
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4 years ago |
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Ross Wightman
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d8e69206be
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Merge pull request #419 from rwightman/byob_vgg_models
More models, GPU-Efficient Nets, RepVGG, classic VGG, and flexible Byob backbone.
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4 years ago |
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Ross Wightman
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ca9b078ac7
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Update README.md and docs. Version bumped to 0.4.3
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4 years ago |
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Ross Wightman
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6853b07bbd
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Improve RegVGG block identity/vs non for clariy and fix attn usage. Add comments.
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4 years ago |
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Ross Wightman
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0356e773f5
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Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately.
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4 years ago |
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Ross Wightman
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b9bd960a03
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Merge pull request #421 from aboutmedicine/master
Update collections.abc import to avoid pytorch 1.8 issue. Fix #420
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4 years ago |
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Reuben
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94ca140b67
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update collections.abc import
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4 years ago |
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Ross Wightman
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db6128db0f
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Merge pull request #418 from kecsap/master
Change the Python interpreter to Python 3.x in the scripts
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4 years ago |
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Ross Wightman
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b4e216e377
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Fix a few small things.
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4 years ago |
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Ross Wightman
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dc85e5a237
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Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
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4 years ago |
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Ross Wightman
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1bcc69e0ad
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Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354.
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4 years ago |
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Ross Wightman
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9811e229f7
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Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
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4 years ago |
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Csaba Kertesz
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5114c214fc
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Change the Python interpreter to Python 3.x in the scripts
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4 years ago |
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Ross Wightman
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aaa715b1e9
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Update README.md
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4 years ago |
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Ross Wightman
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a7f95818e4
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Merge pull request #413 from rwightman/eca-weights
Add new weights for ecaresnet26t/50t/269d models.
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4 years ago |
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Ross Wightman
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a39c3ee216
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Merge branch 'master' into eca-weights
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4 years ago |
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Ross Wightman
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e9d6fe293c
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Update README for new weights. Version 0.4.2
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4 years ago |
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Ross Wightman
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666de85cf1
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Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414
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4 years ago |
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Ross Wightman
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3b57490a63
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Fix some half removed resnet model defs, pooling for ecaresnet269d
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4 years ago |
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Ross Wightman
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2a8c4dc63b
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Add validation script update for using test_input_size in model default_cfgs
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4 years ago |
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Ross Wightman
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68a4144882
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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.
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4 years ago |
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Ross Wightman
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3a7aa95f7e
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Update README.md
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4 years ago |
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Ross Wightman
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b9843f954b
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Merge pull request #282 from tigert1998/patch-1
Add symbolic for SwishJitAutoFn to support onnx
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4 years ago |
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Ross Wightman
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ea36a78cff
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Merge pull request #401 from hwangdeyu/deyu/add_HardSwishJitAutoFn_operator
add HardSwishJitAutoFn operator export to onnx
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4 years ago |
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hwangdeyu
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7a4be5c035
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add operator HardSwishJitAutoFn export to onnx
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4 years ago |
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Ross Wightman
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4203efa36d
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Fix #387 so that checkpoint saver works with max history of 1. Add checkpoint-hist arg to train.py.
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4 years ago |
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Ross Wightman
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99b82ae5ab
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Merge pull request #389 from rwightman/norm_free_models
Normalizer-Free RegNet and ResNet impl
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4 years ago |
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Ross Wightman
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f0e65e37b7
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Fix NF-ResNet101 model defs
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4 years ago |
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Ross Wightman
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2c988c3b6e
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Update README.md for NF-nets, bump version to 0.4.1 for merge
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4 years ago |
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Ross Wightman
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2de54d174a
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Fix pool size defs for NFNet models, add a comment.
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4 years ago |
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Ross Wightman
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90980de4a9
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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.
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4 years ago |
