Xing Wang a1513dced3 Integrate FC fp16 exporter into Dper2 (#26582) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/26582 Add the blob quantization. replace the op in the eval/predictor net. Test Plan: # Unit test: ----- buck build fblearner/flow/projects/dper/tests/validators:test_exporter_options_validators ./buck-out/gen/fblearner/flow/projects/dper/tests/validators/test_exporter_options_validators#binary.par ---- buck build caffe2/caffe2/fb/dper/layer_models/tests:exporter_test ./buck-out/gen/caffe2/caffe2/fb/dper/layer_models/tests/exporter_test-2.7#binary.par Reviewed By: chocjy Differential Revision: D17439720 fbshipit-source-id: 68de5d0322b0111aeca5ed552210bf80a4cddc78		2019-09-29 10:19:28 -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	Support focal loss in MTML	2019-08-25 01:42:25 -07:00
batch_mse_loss.py
batch_normalization.py
batch_sigmoid_cross_entropy_loss.py
batch_softmax_loss.py
blob_weighted_sum.py
bpr_loss.py	Add BPR loss to TTSN (#24439)	2019-08-15 23:20:15 -07:00
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
fc.py	Integrate FC fp16 exporter into Dper2 (#26582)	2019-09-29 10:19:28 -07:00
fc_without_bias.py
feature_sparse_to_dense.py	Return list of AccessedFeatures from get_accessed_features (#23983)	2019-08-14 10:50:27 -07:00
functional.py
gather_record.py
homotopy_weight.py
label_smooth.py
last_n_window_collector.py
layer_normalization.py
layers.py	Return list of AccessedFeatures from get_accessed_features (#23983)	2019-08-14 10:50:27 -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	Refactor and expose metadata of tum_history layer for online prediction	2019-08-15 00:27:11 -07:00
sparse_lookup.py	add support for real4bits quant (#25426)	2019-09-20 13:45:23 -07:00
split.py	Enable variable size embedding (#25782)	2019-09-09 22:08:32 -07:00
tags.py
uniform_sampling.py