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__init__.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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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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Refactoring, cleanup, improved test coverage.
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2021-06-12 16:40:02 -07:00 |
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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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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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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_act.py
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Significant norm update
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2021-12-14 13:48:30 -08:00 |
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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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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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2021-05-31 13:18:11 -07:00 |
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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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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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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 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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norm_act.py
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Remove unecessary code for synbn guard
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2022-06-24 14:57:42 -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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Support npz custom load for vision transformer hybrid models. Add posembed rescale for npz load.
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2021-06-14 12:31:44 -07:00 |
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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 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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2021-05-31 13:18:11 -07:00 |
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std_conv.py
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Use reshape instead of view in std_conv, causing issues in recent PyTorch in channels_last
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2021-09-23 15:43:48 -07:00 |
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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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