pytorch/caffe2/python/layers
Will Feng (FAIAR) 078669f6c3 Back out "[2/n][Compute Meta] support analysis for null flag features"
Summary:
Original commit changeset: 46c59d849fa8

The original commit is breaking DPER3 release pipeline with the following failures:
https://www.internalfb.com/intern/chronos/jobinstance?jobinstanceid=9007207344413239&smc=chronos_gp_admin_client&offset=0
```
Child workflow f 202599639  failed with error: c10::Error: [enforce fail at operator.cc:76] blob != nullptr. op Save: Encountered a non-existing input blob: feature_preproc/feature_sparse_to_dense/default_float_value
```
https://www.internalfb.com/intern/chronos/jobinstance?jobinstanceid=9007207344855973&smc=chronos_gp_admin_client&offset=0
```
Child workflow f 202629391  failed with error: c10::Error: [enforce fail at operator.cc:76] blob != nullptr. op Save: Encountered a non-existing input blob: tum_preproc/inductive/feature_sparse_to_dense/default_float_value
```

Related UBN tasks: T69529846, T68986110

Test Plan: Build a DPER3 package on top of this commit, and check that DPER3 release test `model_deliverability_test` is passing.

Differential Revision: D22396317

fbshipit-source-id: 92d5b30cc146c005d6159a8d5bfe8973e2c546dd
2020-07-06 16:29:03 -07:00
..
__init__.py
adaptive_weight.py
add_bias.py
arc_cosine_feature_map.py
batch_huber_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
bpr_loss.py
bucket_weighted.py
build_index.py
concat.py
constant_weight.py
conv.py
dropout.py
fc.py
fc_with_bootstrap.py
fc_without_bias.py
feature_sparse_to_dense.py Back out "[2/n][Compute Meta] support analysis for null flag features" 2020-07-06 16:29:03 -07:00
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_dropout_with_replacement.py
sparse_feature_hash.py
sparse_lookup.py
split.py
tags.py
uniform_sampling.py