Ross Wightman
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bda8ab015a
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Remove min channels for SelectiveKernel, divisor should cover cases well enough.
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3 years ago |
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Ross Wightman
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a27f4aec4a
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Missed args for skresnext w/ refactoring.
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3 years ago |
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Ross Wightman
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307a935b79
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Add non-local and BAT attention. Merge attn and self-attn factories into one. Add attention references to README. Add mlp 'mode' to ECA.
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3 years ago |
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Ross Wightman
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8bf63b6c6c
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Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.
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3 years ago |
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Ross Wightman
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9611458e19
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Throw in some FBNetV3 code I had lying around, some refactoring of SE reduction channel calcs for all EffNet archs.
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3 years ago |
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Ross Wightman
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f615474be3
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Fix broken test, repvgg block doesn't have attn_last attr.
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3 years ago |
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Ross Wightman
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742c2d5247
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Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.
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3 years ago |
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Ross Wightman
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9c78de8c02
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Fix #661, move hardswish out of default args for LeViT. Enable native torch support for hardswish, hardsigmoid, mish if present.
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3 years ago |
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Ross Wightman
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f45de37690
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Merge branch 'master' into levit_visformer_rednet
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4 years ago |
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Ross Wightman
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d5af752117
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Add preliminary gMLP and ResMLP impl to Mlp-Mixer
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4 years ago |
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Ross Wightman
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3bffc701f1
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Merge branch 'master' into levit_visformer_rednet
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4 years ago |
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Ross Wightman
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ecc7552c5c
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Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.
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4 years ago |
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Ross Wightman
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165fb354b2
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Add initial RedNet model / Involution layer impl for testing
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4 years ago |
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Ross Wightman
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c4f482a08b
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EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models.
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4 years ago |
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Ross Wightman
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715519a5ef
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Rethink name of patch embed grid info
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4 years ago |
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Ross Wightman
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b2c305c2aa
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Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...
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4 years ago |
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Ross Wightman
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0721559511
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Improved (hopefully) init for SA/SA-like layers used in ByoaNets
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4 years ago |
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Ross Wightman
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0d87650fea
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Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.
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4 years ago |
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Ross Wightman
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9cc7dda6e5
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Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
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4 years ago |
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Ross Wightman
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e15c3886ba
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Defaul lambda r=7. Define '26t' stage 4/5 256x256 variants for all of bot/halo/lambda nets for experiment. Add resnet50t for exp. Fix a few comments.
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4 years ago |
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Ross Wightman
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4e4b863b15
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Missed norm.py
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4 years ago |
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Ross Wightman
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ce62f96d4d
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ByoaNet with bottleneck transformer, lambda resnet, and halo net experiments
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4 years ago |
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Ross Wightman
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a5310a3451
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Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
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4 years ago |
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Ross Wightman
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cf5fec5047
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Cleanup experimental vit weight init a bit
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4 years ago |
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Ross Wightman
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740f32c96a
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Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6
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4 years ago |
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Ross Wightman
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f57db99101
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Update README, fix iabn pip version print.
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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 |
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 |
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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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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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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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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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 |
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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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 |
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Ross Wightman
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5a8e1e643e
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Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
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4 years ago |
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Ross Wightman
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231d04e91a
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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.
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4 years ago |
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Ross Wightman
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2ed8f24715
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A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.
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4 years ago |
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Ross Wightman
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460eba7f24
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Work around casting issue with combination of native torch AMP and torchscript for Linear layers
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4 years ago |
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Ross Wightman
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5f4b6076d8
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Fix inplace arg compat for GELU and PreLU via activation factory
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4 years ago |
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Ross Wightman
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fd962c4b4a
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Native SiLU (Swish) op doesn't export to ONNX
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4 years ago |
tigertang
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43f2500c26
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Add symbolic for SwishJitAutoFn to support onnx
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4 years ago |
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Ross Wightman
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e90edce438
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Support native silu activation (aka swish). An optimized ver is available in PyTorch 1.7.
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4 years ago |
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Ross Wightman
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f31933cb37
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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4 years ago |
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Ross Wightman
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fcb6258877
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Add missing leaky_relu layer factory defn, update Apex/Native loss scaler interfaces to support unscaled grad clipping. Bump ver to 0.2.2 for pending release.
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4 years ago |
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Ross Wightman
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e8ca45854c
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More models in sotabench, more control over sotabench run, dataset filename extraction consistency
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4 years ago |
|
Ross Wightman
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80c9d9cc72
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Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'
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4 years ago |
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Ross Wightman
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110a7c4982
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AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992
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4 years ago |
