Louis Lac 2d5277e858

Merge branch 'main' into fix-mqa-v2

2025-01-02 00:11:22 +01:00

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__init__.py

Fixing RmsNorm to fix #2380 and noticed with aimv2 when comparing outputs. Still some work to do, need to look at AMP / fast mode behaviour, dispatch to torch when possible. Add SimpleNorm for 'LayerNorm w/o centering and bias'

2024-12-30 19:24:21 -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

Merge branch 'main' into fix-mqa-v2

2025-01-02 00:11:22 +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

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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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create_act.py

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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

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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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mlp.py

Switch aimv2 to used packed SwiGLU

2024-12-30 19:24:21 -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

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