Ross Wightman 1766a01f96 Cleanup some amp related behaviour to better support different (non-cuda) devices

2024-10-18 13:54:16 -07:00

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__init__.py

convnext zepto, rmsnorm experiments

2024-09-30 11:43:23 -07:00

activations_me.py

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activations.py

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adaptive_avgmax_pool.py

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attention2d.py

Add xavier_uniform init of MNVC hybrid attention modules. Small improvement in training stability.

2024-07-26 17:03:40 -07:00

attention_pool2d.py

Fix rotary embed version of attn pool. Bit of cleanup/naming

2024-06-11 23:49:17 -07:00

attention_pool.py

Mapping OpenAI CLIP Modified ResNet weights -> ByobNet. Improve AttentionPool2d layers. Fix #1731

2024-06-09 16:54:48 -07:00

blur_pool.py

Add anti-aliasing support to mobilenetv3 and efficientnet family models. Update MobileNetV4 model defs, resolutions. Fix #599

2024-05-27 22:06:22 -07:00

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

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conv2d_same.py

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conv_bn_act.py

Remove separate ConvNormActAa class, merge with ConvNormAct

2024-06-10 12:05:35 -07:00

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

convnext zepto, rmsnorm experiments

2024-09-30 11:43:23 -07:00

drop.py

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eca.py

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evo_norm.py

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fast_norm.py

Cleanup some amp related behaviour to better support different (non-cuda) devices

2024-10-18 13:54:16 -07:00

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

set_input_size initial impl for vit & swin v1. Move HybridEmbed to own location in timm/layers

2024-07-17 15:25:48 -07:00

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

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non_local_attn.py

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norm_act.py

Add ConvStem and MobileCLIP hybrid model for B variant. Add full norm disable support to ConvNormAct layers

2024-06-06 09:15:27 -07:00

norm.py

convnext zepto, rmsnorm experiments

2024-09-30 11:43:23 -07:00

padding.py

Padding helpers work if tuples/lists passed

2024-07-19 14:28:03 -07:00

patch_dropout.py

Credit earlier work with the same idea.

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

patch_embed.py

set_input_size initial impl for vit & swin v1. Move HybridEmbed to own location in timm/layers

2024-07-17 15:25:48 -07:00

pool2d_same.py

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pos_embed_rel.py

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pos_embed_sincos.py

Mapping OpenAI CLIP Modified ResNet weights -> ByobNet. Improve AttentionPool2d layers. Fix #1731

2024-06-09 16:54:48 -07:00

pos_embed.py

Adding pos embed resize fns to FX autowrap exceptions

2024-06-10 12:06:47 -07:00

selective_kernel.py

Remove separate ConvNormActAa class, merge with ConvNormAct

2024-06-10 12:05:35 -07:00

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