pytorch/caffe2/python/layers
Levent Ertoz 8d4956fd02 hook up dropout sparse with replacement operator
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/23183

Reviewed By: ffjiang

Differential Revision: D16428262

fbshipit-source-id: 0d6e17d15c898629bbd2826441f2c9701a78b0bd
2019-07-23 14:34:25 -07:00
..
__init__.py
adaptive_weight.py
add_bias.py
arc_cosine_feature_map.py
batch_huber_loss.py Add new regression loss function type to FBLearner (#21080) 2019-06-17 17:43:00 -07:00
batch_lr_loss.py try to enable uncertainty for lr loss (#17236) 2019-04-11 07:35:19 -07:00
batch_mse_loss.py
batch_normalization.py
batch_sigmoid_cross_entropy_loss.py
batch_softmax_loss.py
blob_weighted_sum.py
bucket_weighted.py Add hashing to bucket-weighted pooling (#20673) 2019-06-20 15:12:36 -07:00
build_index.py
concat.py
constant_weight.py
conv.py
dropout.py add dropout during eval (#17549) 2019-02-28 23:21:29 -08:00
fc_without_bias.py
fc.py fc layer accept axis argument (#13822) 2018-11-11 13:44:57 -08:00
feature_sparse_to_dense.py Add get_accessed_features function to ModelLayer class (#23036) 2019-07-22 15:04:28 -07:00
functional.py
gather_record.py
homotopy_weight.py
label_smooth.py
last_n_window_collector.py
layer_normalization.py
layers.py Add get_accessed_features function to ModelLayer class (#23036) 2019-07-22 15:04:28 -07:00
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_dropout_with_replacement.py hook up dropout sparse with replacement operator 2019-07-23 14:34:25 -07:00
sparse_feature_hash.py Add div hashing 2019-06-12 11:27:37 -07:00
sparse_lookup.py Perform weight re-init for embedding table in sparse_lookup.py (#22348) 2019-07-03 10:33:40 -07:00
split.py
tags.py
uniform_sampling.py