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__init__.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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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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Add initial AttentionPool2d that's being trialed. Fix comment and still trying to improve reliability of sgd test.
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2021-09-05 12:41:14 -07:00 |
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blur_pool.py
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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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2021-05-04 16:56:28 -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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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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2021-05-27 18:03:29 -07:00 |
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classifier.py
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Disable use of timm nn.Linear wrapper since AMP autocast + torchscript use appears fixed
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2021-12-01 14:58:09 -08:00 |
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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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Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
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2021-02-09 16:22:52 -08:00 |
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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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Update attention / self-attn based models from a series of experiments:
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2021-08-20 16:13:11 -07:00 |
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create_conv2d.py
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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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2021-02-09 16:22:52 -08:00 |
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create_norm_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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drop.py
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Update drop_path and drop_block (fast impl) to be symbolically traceable, slightly faster
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2021-12-05 15:36:56 -08:00 |
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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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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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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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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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2021-05-27 18:03:29 -07:00 |
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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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Throw in some FBNetV3 code I had lying around, some refactoring of SE reduction channel calcs for all EffNet archs.
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2021-05-28 20:47:24 -07:00 |
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inplace_abn.py
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Update README, fix iabn pip version print.
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2021-03-07 16:17:06 -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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Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354.
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2021-02-09 16:22:52 -08:00 |
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mlp.py
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Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p
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2021-10-25 00:40:59 -07:00 |
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non_local_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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norm.py
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Add ResNet-50 w/ GN (resnet50_gn) and SEBotNet-33-TS (sebotnet33ts_256) model defs and weights. Update halonet50ts weights w/ slightly better variant in1k val, more robust to test sets.
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2021-11-19 14:24:43 -08:00 |
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norm_act.py
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Prep a set of ResNetV2 models with GroupNorm, EvoNormB0, EvoNormS0 for BN free model experiments on TPU and IPU
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2021-11-19 17:37:00 -08:00 |
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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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selective_kernel.py
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wip - pre-rebase
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2021-11-12 20:45:05 +00:00 |
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separable_conv.py
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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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2021-02-09 16:22:52 -08:00 |
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space_to_depth.py
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split_attn.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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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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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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Cleanup experimental vit weight init a bit
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2021-03-20 09:44:24 -07:00 |
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