Alyssa Wang 4b1096c652 Fix predict net issue with LRU hash eviction ... Summary: We are seeing error "[enforce fail at BlackBoxPredictor.cpp:134] ! !parameter_workspace->HasBlob(out). Net REMOTE of type predict_net writes to blob cat/NGRAM_QRT_VERSIONS_x_EVENT_TYPE_AUTO_FIRST_X/Pool_Option_0/Repeat_0/sparse_lookup/w which exists in the parameter workspace" in online testing for calibration models. I'm suspecting it's due to the op CopyRowsToTensorOp are being used in prediction Test Plan: f143080108 offline predict net does not contain CopyRowsToTensorNet, which looks right. Waiting for Olga to test online behavior dper2 canary: https://fburl.com/fblearner/sv3o3yj1 Differential Revision: D17741823 fbshipit-source-id: 19721b632b5ea9ebfa1ef9ae0e99d3a10c926287		2019-10-14 16:08:14 -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	Exponential decay of the weight of task loss (#27508)	2019-10-08 09:15:41 -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	add feature name into module and update position weighted to match dper2	2019-10-14 08:06:19 -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	Integrate FC fp16 exporter into Dper2 (#26582)	2019-09-29 10:19:28 -07:00
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	Fix predict net issue with LRU hash eviction	2019-10-14 16:08:14 -07:00
split.py	Enable variable size embedding (#25782)	2019-09-09 22:08:32 -07:00
tags.py
uniform_sampling.py