Xing Wang c4e0d61646 Regularization is not supported in FP16 (#21319) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21319 Add assertion to raise Exception when Regularization is applied on FP16. Reviewed By: bddppq Differential Revision: D15528486 fbshipit-source-id: c887c90d1d9ccfdaded3b5fa16816c6f29910e2e		2019-06-09 23:59:48 -07:00
..
__init__.py
adaptive_weight.py
add_bias.py
arc_cosine_feature_map.py
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
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
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	Regularization is not supported in FP16 (#21319)	2019-06-09 23:59:48 -07:00
split.py
tags.py
uniform_sampling.py