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__init__.py
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MaxxVit! A very configurable MaxVit and CoAtNet impl with lots of goodies..
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2022-08-22 17:42:10 -07:00 |
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activations.py
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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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attention_pool2d.py
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Significant model refactor and additions:
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2022-02-28 13:56:23 -08:00 |
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blur_pool.py
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Make a few more layers symbolically traceable (remove from FX leaf modules)
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2022-03-24 21:43:56 -07:00 |
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bottleneck_attn.py
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wip - pre-rebase
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2021-11-12 20:45:05 +00:00 |
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cbam.py
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Significant norm update
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2021-12-14 13:48:30 -08:00 |
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classifier.py
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Significant model refactor and additions:
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2022-02-28 13:56:23 -08:00 |
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cond_conv2d.py
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fixing channels_last on cond_conv2d; update nvfuser debug env variable
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2022-04-25 12:41:46 -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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Add more experimental darknet and 'cs2' darknet variants (different cross stage setup, closer to newer YOLO backbones) for train trials.
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2022-07-01 15:14:01 -07:00 |
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create_act.py
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Add 'fast' layer norm that doesn't cast to float32, support APEX LN impl for slight speed gain, update norm and act factories, tweak SE for ability to disable bias (needed by GCVit)
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2022-08-17 14:32:58 -07:00 |
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create_attn.py
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Add MobileVitV2 support. Fix #1332. Move GroupNorm1 to common layers (used in poolformer + mobilevitv2). Keep ol custom ConvNeXt LayerNorm2d impl as LayerNormExp2d for reference.
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2022-07-07 14:41:01 -07:00 |
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create_conv2d.py
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Significant norm update
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2021-12-14 13:48:30 -08:00 |
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create_norm.py
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Add 'fast' layer norm that doesn't cast to float32, support APEX LN impl for slight speed gain, update norm and act factories, tweak SE for ability to disable bias (needed by GCVit)
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2022-08-17 14:32:58 -07:00 |
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create_norm_act.py
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More model and test fixes
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2022-08-22 17:40:31 -07:00 |
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drop.py
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Improve repr for DropPath module
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2022-06-24 14:58:15 -07:00 |
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eca.py
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evo_norm.py
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Remove SiLU layer in default args that breaks import on old old PyTorch
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2022-06-24 14:56:58 -07:00 |
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fast_norm.py
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Add 'fast' layer norm that doesn't cast to float32, support APEX LN impl for slight speed gain, update norm and act factories, tweak SE for ability to disable bias (needed by GCVit)
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2022-08-17 14:32:58 -07:00 |
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filter_response_norm.py
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Updated EvoNorm implementations with some experimentation. Add FilterResponseNorm. Updated RegnetZ and ResNetV2 model defs for trials.
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2021-12-01 12:09:01 -08:00 |
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gather_excite.py
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global_context.py
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wip - pre-rebase
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2021-11-12 20:45:05 +00:00 |
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halo_attn.py
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wip - pre-rebase
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2021-11-12 20:45:05 +00:00 |
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helpers.py
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MaxxVit! A very configurable MaxVit and CoAtNet impl with lots of goodies..
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2022-08-22 17:42:10 -07:00 |
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inplace_abn.py
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Significant norm update
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2021-12-14 13:48:30 -08:00 |
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lambda_layer.py
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wip - pre-rebase
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2021-11-12 20:45:05 +00:00 |
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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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support CNNs
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2021-11-30 08:48:08 +02:00 |
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mlp.py
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Add updated vit_relpos weights, and impl w/ support for official swin-v2 differences for relpos. Add bias control support for MLP layers
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2022-05-13 13:53:57 -07:00 |
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non_local_attn.py
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Significant norm update
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2021-12-14 13:48:30 -08:00 |
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norm.py
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Add 'fast' layer norm that doesn't cast to float32, support APEX LN impl for slight speed gain, update norm and act factories, tweak SE for ability to disable bias (needed by GCVit)
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2022-08-17 14:32:58 -07:00 |
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norm_act.py
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More model and test fixes
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2022-08-22 17:40:31 -07:00 |
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padding.py
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patch_embed.py
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wip - attempting to rebase
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2021-11-12 20:45:05 +00:00 |
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pool2d_same.py
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pos_embed.py
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Significant model refactor and additions:
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2022-02-28 13:56:23 -08:00 |
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selective_kernel.py
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Significant norm update
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2021-12-14 13:48:30 -08:00 |
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separable_conv.py
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Significant norm update
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2021-12-14 13:48:30 -08:00 |
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space_to_depth.py
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split_attn.py
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Significant norm update
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2021-12-14 13:48:30 -08:00 |
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split_batchnorm.py
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squeeze_excite.py
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Add 'fast' layer norm that doesn't cast to float32, support APEX LN impl for slight speed gain, update norm and act factories, tweak SE for ability to disable bias (needed by GCVit)
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2022-08-17 14:32:58 -07:00 |
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std_conv.py
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test_time_pool.py
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Add --use-train-size flag to force use of train input_size (over test input size) for validation. Default test-time pooling to use train input size (fixes issues).
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2022-07-07 22:01:24 -07:00 |
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trace_utils.py
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Better fix for #954 that doesn't break torchscript, pull torch._assert into timm namespace when it exists
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2021-11-02 11:22:33 -07:00 |
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weight_init.py
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Add eps arg to LayerNorm2d, add 'tf' (tensorflow) variant of trunc_normal_ that applies scale/shift after sampling (instead of needing to move a/b)
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2022-07-01 15:15:39 -07:00 |
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