Frank Jiang 1439152e72 Make hashing default for bucket-weighted pooling (#24266) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/24266 As title Reviewed By: huginhuangfb Differential Revision: D16775870 fbshipit-source-id: f919fdffa014ef3ce9a69fe173dd240e91813c3e		2019-08-13 13:56:32 -07:00
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__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	Make hashing default for bucket-weighted pooling (#24266)	2019-08-13 13:56:32 -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.py
fc_without_bias.py
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