Ross Wightman 57adc1acc8 Fix rotary embed version of attn pool. Bit of cleanup/naming		2024-06-11 23:49:17 -07:00
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__init__.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
activations.py	…
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
adaptive_avgmax_pool.py	…
attention2d.py	More MobileNet-v4 fixes	2024-05-24 15:09:29 -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
attention_pool2d.py	Fix rotary embed version of attn pool. Bit of cleanup/naming	2024-06-11 23:49:17 -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	…
cbam.py	…
classifier.py	Mapping OpenAI CLIP Modified ResNet weights -> ByobNet. Improve AttentionPool2d layers. Fix #1731	2024-06-09 16:54:48 -07:00
cond_conv2d.py	…
config.py	…
conv2d_same.py	…
conv_bn_act.py	Remove separate ConvNormActAa class, merge with ConvNormAct	2024-06-10 12:05:35 -07:00
create_act.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
create_attn.py	…
create_conv2d.py	…
create_norm.py	Move norm & pool into Hiera ClassifierHead. Misc fixes, update features_intermediate() naming	2024-05-11 23:37:35 -07:00
create_norm_act.py	…
drop.py	…
eca.py	…
evo_norm.py	…
fast_norm.py	…
filter_response_norm.py	…
format.py	…
gather_excite.py	…
global_context.py	…
grid.py	…
grn.py	…
halo_attn.py	…
helpers.py	…
inplace_abn.py	…
interpolate.py	…
lambda_layer.py	…
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	…
non_local_attn.py	…
norm.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
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
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.py	Adding pos embed resize fns to FX autowrap exceptions	2024-06-10 12:06:47 -07:00
pos_embed_rel.py	…
pos_embed_sincos.py	Mapping OpenAI CLIP Modified ResNet weights -> ByobNet. Improve AttentionPool2d layers. Fix #1731	2024-06-09 16:54:48 -07:00
selective_kernel.py	Remove separate ConvNormActAa class, merge with ConvNormAct	2024-06-10 12:05:35 -07:00
separable_conv.py	…
space_to_depth.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
split_attn.py	…
split_batchnorm.py	…
squeeze_excite.py	…
std_conv.py	…
test_time_pool.py	…
trace_utils.py	…
typing.py	…
weight_init.py	…