pytorch/caffe2/python/layers
Andrey Malevich eaf33f22c8 Revert D10123465: Set the correct engine name for position weighted pooling when fp16 is used for training
Differential Revision:
D10123465

Original commit changeset: e8d929d4153d

fbshipit-source-id: 36269e49ac79955fe695ac1a53a3c386aa2f5bec
2018-10-15 01:53:48 -07:00
..
__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
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 Allow use substitute ops for LayerNorm (#12177) 2018-10-11 17:36:10 -07:00
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 Revert D10123465: Set the correct engine name for position weighted pooling when fp16 is used for training 2018-10-15 01:53:48 -07:00
split.py
tags.py
uniform_sampling.py