Xianjie Chen aed3aabc7f model and preprocessor can handle empty dense inputs ... Summary: we may not need dense feature inputs in some models (e.g., double helix). Reviewed By: dzhulgakov Differential Revision: D4568755 fbshipit-source-id: 6850508f86fafb53f81783b2a2a38776be5455d7		2017-02-22 11:19:15 -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	NextScopedBlob with well-defined behavior and respect namescope	2017-02-16 17:16:36 -08:00
concat.py	NextScopedBlob with well-defined behavior and respect namescope	2017-02-16 17:16:36 -08:00
dot_product.py	NextScopedBlob with well-defined behavior and respect namescope	2017-02-16 17:16:36 -08:00
expand_dims.py	NextScopedBlob with well-defined behavior and respect namescope	2017-02-16 17:16:36 -08:00
fc.py	model and preprocessor can handle empty dense inputs	2017-02-22 11:19:15 -08:00
layers.py	Convert SparseLookup layer's embedding to fp16 blobs for predictor	2017-02-22 11:05:49 -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	add support of fp16 to SparseLengthsSum and SparseLengthsMean	2017-02-22 11:05:55 -08:00
sparse_to_dense.py	NextScopedBlob with well-defined behavior and respect namescope	2017-02-16 17:16:36 -08:00
split.py	NextScopedBlob with well-defined behavior and respect namescope	2017-02-16 17:16:36 -08:00
tags.py	fbsync. TODO: check if build files need update.	2016-11-15 00:00:46 -08:00