pytorch/caffe2/python/layers
Ievgen Soboliev a7f8fe0423 introduce request net into prediction schema
Summary: As title. We want to have request_only net which runs on user_only sparse features. Submitting to get early feedback.

Reviewed By: dzhulgakov

Differential Revision: D4282783

fbshipit-source-id: 71241bf5444550075884c788c2da4783659bc1e0
2016-12-22 15:59:27 -08:00
..
__init__.py fbsync. TODO: check if build files need update. 2016-11-15 00:00:46 -08:00
batch_lr_loss.py fbsync at f5a877 2016-11-18 15:41:06 -08:00
concat.py fbsync at f5a877 2016-11-18 15:41:06 -08:00
dot_product.py implement sparse nn using layers 2016-11-29 15:18:38 -08:00
expand_dims.py implement sparse nn using layers 2016-11-29 15:18:38 -08:00
fc.py fbsync at f5a877 2016-11-18 15:41:06 -08:00
layers.py introduce request net into prediction schema 2016-12-22 15:59:27 -08:00
simple_operator_layers.py fbsync at f5a877 2016-11-18 15:41:06 -08:00
sparse_lookup.py implement user-only metadata for input_record 2016-12-15 12:01:29 -08:00
sparse_to_dense.py implement user-only metadata for input_record 2016-12-15 12:01:29 -08:00
split.py implement sparse nn using layers 2016-11-29 15:18:38 -08:00
tags.py fbsync. TODO: check if build files need update. 2016-11-15 00:00:46 -08:00