pytorch/caffe2/python/layers
Junjie Bai 52135e9b12 Revert D13551909: [fbcode] logdevice for generic feature type
Differential Revision:
D13551909

Original commit changeset: 807830c50bee

fbshipit-source-id: 48cacf4ec1765253a9be9d78f4b28cc48330be59
2019-01-25 00:33:06 -08:00
..
__init__.py
adaptive_weight.py
add_bias.py
arc_cosine_feature_map.py
batch_distill_lr_loss.py
batch_lr_loss.py
batch_mse_loss.py
batch_normalization.py
batch_sigmoid_cross_entropy_loss.py
batch_softmax_loss.py
blob_weighted_sum.py
bucket_weighted.py
build_index.py
concat.py
constant_weight.py
conv.py
dropout.py
fc.py
fc_without_bias.py
feature_sparse_to_dense.py
functional.py
gather_record.py
homotopy_weight.py
label_smooth.py
last_n_window_collector.py
layer_normalization.py
layers.py
margin_rank_loss.py
merge_id_lists.py
pairwise_similarity.py
position_weighted.py
random_fourier_features.py
reservoir_sampling.py
sampling_train.py
sampling_trainable_mixin.py
select_record_by_context.py
semi_random_features.py
sparse_feature_hash.py
sparse_lookup.py
split.py
tags.py
uniform_sampling.py