Collin McCarthy 84631cb5c6 Add missing training flag to convert_sync_batchnorm

2025-01-21 11:51:55 -08:00

..

__init__.py

Wrap torch checkpoint() fn to default use_reentrant flag to False and allow env var override

2025-01-06 11:28:39 -08:00

activations_me.py

Remove JIT activations, take jit out of ME activations. Remove other instances of torch.jit.script. Breaks torch.compile and is much less performant. Remove SpaceToDepthModule

2024-05-06 16:32:49 -07:00

activations.py

Fix typos

2025-01-19 13:39:40 -08:00

adaptive_avgmax_pool.py

…

attention2d.py

Fix typos

2025-01-19 13:39:40 -08:00

attention_pool2d.py

…

attention_pool.py

…

blur_pool.py

…

bottleneck_attn.py

…

cbam.py

…

classifier.py

…

cond_conv2d.py

…

config.py

Update README, few minor fixups.

2025-01-06 13:09:15 -08:00

conv2d_same.py

…

conv_bn_act.py

See if we can avoid some model / layer pickle issues with the aa attr in ConvNormAct

2024-12-03 08:02:55 -08:00

create_act.py

…

create_attn.py

…

create_conv2d.py

…

create_norm_act.py

Fix typos

2025-01-19 13:39:40 -08:00

create_norm.py

Add SimpleNorm to create_norm factory

2024-12-30 19:24:21 -08:00

drop.py

…

eca.py

…

evo_norm.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

fast_norm.py

Use torch F.rms_norm when possible, select fast vs normal paths appropriately and test with torchscript

2024-12-30 19:24:21 -08:00

filter_response_norm.py

…

format.py

…

gather_excite.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

global_context.py

…

grid.py

…

grn.py

…

halo_attn.py

…

helpers.py

Fixed Typos

2023-10-21 21:46:31 -07:00

hybrid_embed.py

…

inplace_abn.py

…

interpolate.py

Add more advanced interpolation method from BEiT and support non-square window & image size adaptation for

2023-08-08 16:41:16 -07:00

lambda_layer.py

Fix meshgrid deprecation warnings and backward compat with explicit 'ndgrid' and 'meshgrid' fn w/o indexing arg

2024-01-27 13:48:33 -08:00

layer_scale.py

Fix hiera init with num_classes=0, fix weight tag names for sbb2 hiera/vit weights, add LayerScale/LayerScale2d to layers

2024-08-15 11:14:38 -07:00

linear.py

…

median_pool.py

…

mixed_conv2d.py

…

ml_decoder.py

Remove JIT activations, take jit out of ME activations. Remove other instances of torch.jit.script. Breaks torch.compile and is much less performant. Remove SpaceToDepthModule

2024-05-06 16:32:49 -07:00

mlp.py

Add comments to MLP layers re expected layouts

2025-01-02 09:41:35 -08:00

non_local_attn.py

…

norm_act.py

Add missing training flag to convert_sync_batchnorm

2025-01-21 11:51:55 -08:00

norm.py

Use torch F.rms_norm when possible, select fast vs normal paths appropriately and test with torchscript

2024-12-30 19:24:21 -08:00

padding.py

…

patch_dropout.py

Credit earlier work with the same idea.

2024-05-16 22:50:34 +02:00

patch_embed.py

…

pool2d_same.py

…

pos_embed_rel.py

…

pos_embed_sincos.py

…

pos_embed.py

…

selective_kernel.py

…

separable_conv.py

…

space_to_depth.py

…

split_attn.py

…

split_batchnorm.py

Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models

2022-12-06 15:00:06 -08:00

squeeze_excite.py

…

std_conv.py

…

test_time_pool.py

…

trace_utils.py

…

typing.py

…

weight_init.py

Fix typos

2025-01-19 13:39:40 -08:00