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__init__.py
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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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2020-12-28 16:59:15 -08:00 |
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activations.py
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Fix inplace arg compat for GELU and PreLU via activation factory
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2020-11-30 13:27:40 -08:00 |
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activations_jit.py
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activations_me.py
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adaptive_avgmax_pool.py
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Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'
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2020-09-02 09:11:48 -07:00 |
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anti_aliasing.py
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blur_pool.py
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cbam.py
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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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2020-09-01 16:05:32 -07:00 |
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classifier.py
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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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2020-12-28 16:59:15 -08:00 |
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cond_conv2d.py
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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2020-10-13 13:33:44 -07:00 |
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config.py
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conv2d_same.py
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conv_bn_act.py
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create_act.py
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Fix inplace arg compat for GELU and PreLU via activation factory
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2020-11-30 13:27:40 -08:00 |
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create_attn.py
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create_conv2d.py
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create_norm_act.py
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drop.py
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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2020-10-13 13:33:44 -07:00 |
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eca.py
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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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2020-09-01 16:05:32 -07:00 |
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evo_norm.py
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Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance.
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2020-08-13 18:25:01 -07:00 |
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helpers.py
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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2020-10-13 13:33:44 -07:00 |
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inplace_abn.py
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linear.py
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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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2020-11-30 16:19:52 -08:00 |
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median_pool.py
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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2020-10-13 13:33:44 -07:00 |
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mixed_conv2d.py
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norm_act.py
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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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2020-12-28 16:59:15 -08:00 |
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padding.py
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pool2d_same.py
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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2020-10-13 13:33:44 -07:00 |
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se.py
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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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2020-09-01 16:05:32 -07:00 |
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selective_kernel.py
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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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2020-09-01 16:05:32 -07:00 |
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separable_conv.py
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space_to_depth.py
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split_attn.py
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split_batchnorm.py
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test_time_pool.py
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More models in sotabench, more control over sotabench run, dataset filename extraction consistency
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2020-09-24 15:56:57 -07:00 |
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weight_init.py
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