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Ross Wightman
4d5c395160
MaxVit, ViT, ConvNeXt, and EfficientNet-v2 updates
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* Add support for TF weights and modelling specifics to MaxVit (testing ported weights)
* More fine-tuned CLIP ViT configs
* ConvNeXt and MaxVit updated to new pretrained cfgs use
* EfficientNetV2, MaxVit and ConvNeXt high res models use squash crop/resize
2 years ago
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__init__.py
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activations.py
MaxVit, ViT, ConvNeXt, and EfficientNet-v2 updates
2 years ago
activations_jit.py
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activations_me.py
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adaptive_avgmax_pool.py
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attention_pool2d.py
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blur_pool.py
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bottleneck_attn.py
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cbam.py
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classifier.py
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cond_conv2d.py
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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
MaxVit, ViT, ConvNeXt, and EfficientNet-v2 updates
2 years ago
create_attn.py
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create_conv2d.py
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create_norm.py
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create_norm_act.py
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drop.py
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eca.py
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evo_norm.py
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fast_norm.py
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filter_response_norm.py
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gather_excite.py
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global_context.py
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halo_attn.py
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helpers.py
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inplace_abn.py
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lambda_layer.py
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linear.py
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median_pool.py
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mixed_conv2d.py
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ml_decoder.py
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mlp.py
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non_local_attn.py
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norm.py
Fix spacing misalignment for fast norm path in LayerNorm modules
2 years ago
norm_act.py
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padding.py
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patch_embed.py
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pool2d_same.py
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pos_embed.py
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selective_kernel.py
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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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squeeze_excite.py
Add CL SE module
2 years ago
std_conv.py
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test_time_pool.py
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trace_utils.py
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weight_init.py
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