Adam J. Stewart 19aaea3c8f

Fix nn.Module type hints

2025-01-11 15:09:21 +01:00

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__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

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activations.py

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adaptive_avgmax_pool.py

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attention2d.py

Fix nn.Module type hints

2025-01-11 15:09:21 +01:00

attention_pool2d.py

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attention_pool.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

More Hiera updates. Add forward_intermediates to hieradat/sam2 impl. Make both use same classifier module. Add coarse bool to intermediates.

2024-08-16 11:10:04 -07:00

cond_conv2d.py

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config.py

Update README, few minor fixups.

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

conv2d_same.py

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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

Add WIP HieraDet impl (SAM2 backbone support)

2024-08-15 17:58:15 -07:00

create_attn.py

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create_conv2d.py

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create_norm_act.py

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create_norm.py

Add SimpleNorm to create_norm factory

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

drop.py

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eca.py

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evo_norm.py

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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

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format.py

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gather_excite.py

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global_context.py

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grid.py

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grn.py

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halo_attn.py

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helpers.py

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hybrid_embed.py

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inplace_abn.py

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interpolate.py

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lambda_layer.py

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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

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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

Add comments to MLP layers re expected layouts

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

non_local_attn.py

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norm_act.py

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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

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patch_dropout.py

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patch_embed.py

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pool2d_same.py

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pos_embed_rel.py

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pos_embed_sincos.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

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std_conv.py

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test_time_pool.py

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trace_utils.py

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typing.py

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weight_init.py

Rename global pos embed for Hiera abswin, factor out commonly used vit weight init fns to layers. Add a channels-last ver of normmlp head.

2024-08-15 17:46:36 -07:00