Andrey Malevich 8047b8dc83 Fix random issues with some of the layers getting missing from registry. ... Summary: It looks like for the types that are created directly through type(...) function call, we don't store the strong references anywhere. As a result a GC call in Python might/or might not clean up these classes depending on the phase of the moon and other random things. This results in a fact that in some cases simple layers as a Relu might disappear. cat_shame Reviewed By: xianjiec Differential Revision: D4396289 fbshipit-source-id: ba4e9b7ef54ee43349853b0acc3d3f40c74e4d73		2017-01-10 15:14:31 -08:00
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__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	Fix random issues with some of the layers getting missing from registry.	2017-01-10 15:14:31 -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