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mirror of https://github.com/huggingface/pytorch-image-models.git synced 2025-06-03 15:01:08 +08:00
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1,403 Commits 141 Branches 65 Tags
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9 Commits

Author SHA1 Message Date
Ross Wightman
515121cca1 Use reshape instead of view in std_conv, causing issues in recent PyTorch in channels_last 2021-09-23 15:43:48 -07:00
Ross Wightman
8319e0c373 Add file docstring to std_conv.py 2021-06-13 12:31:06 -07:00
Ross Wightman
ba2ca4b464 One codepath for stdconv, switch layernorm to batchnorm so gain included. Tweak epsilon values for nfnet, resnetv2, vit hybrid. 2021-06-12 12:27:43 -07:00
Ross Wightman
8e4ac3549f All ScaledStdConv and StdConv uses default to using F.layernorm so that they work with PyTorch XLA. eps value tweaking is a WIP. 2021-06-07 17:14:19 -07:00
Ross Wightman
740f32c96a Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6 2021-03-17 13:55:32 -07:00
Ross Wightman
8563609b28 Update notes in ScaledStdConv impl 2021-02-18 12:44:08 -08:00
Ross Wightman
678ba4e0a2 Add NFNet-F model weights ported from DeepMind Haiku impl and new set of models w/ compatible config. 2021-02-18 12:28:46 -08:00
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. 2021-01-30 16:32:07 -08:00
Ross Wightman
5a8e1e643e Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring. 2021-01-27 22:06:57 -08:00
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