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pytorch/caffe2/python/layers
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Kittipat Virochsiri 4829bdb1ea BatchSoftmaxLoss layer 
Summary: Similar to BatchLRLoss layer

Reviewed By: xianjiec

Differential Revision: D4689609

fbshipit-source-id: 89fa4b9d4145ce77cb2aaa7a5c0c1a24f901d88f
2017-03-17 10:19:06 -07:00
..
__init__.py fbsync. TODO: check if build files need update. 2016-11-15 00:00:46 -08:00
batch_lr_loss.py migrate mtml to dper2 2017-03-16 17:48:05 -07:00
batch_mse_loss.py added BatchL2Loss layer 2017-03-16 17:32:20 -07:00
batch_sigmoid_cross_entropy_loss.py BatchSigmoidCrossEntropyLoss 2017-03-17 09:35:51 -07:00
batch_softmax_loss.py BatchSoftmaxLoss layer 2017-03-17 10:19:06 -07:00
concat.py small change to concat layer to make tensor board vis nicer 2017-03-12 23:01:18 -07:00
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
fc_without_bias.py FCWithoutBias layer 2017-03-15 11:03:37 -07:00
functional.py Allow scalar output in functional layer 2017-03-14 15:32:47 -07:00
layers.py Add SparseNN workflow for feed. 2017-03-01 11:02:38 -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 clean old unit test, add sum processor and sqrt pooling 2017-03-08 23:04:19 -08:00
sparse_to_dense.py fix for special case when dense dim is 1 2017-03-16 05:19:10 -07:00
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