Summary: The cudnn version of the DropoutOp was taking a significant (and unwarranted) amount of time in our RNN training. Further investigation showed that setting the cudnn dropout descriptors was an extremely expensive operation (https://pxl.cl/99nT), much more so than the dropout operation itself. This diff adds to the DropoutCell the option to disable cudnn. The non-cudnn version uses a raw curand call that elides all of the expensive descriptor setting.
Reviewed By: jmp84, akyrola
Differential Revision: D5972022
fbshipit-source-id: 6325ec5d6569f8b94d776cbb2554cc8ddb28f699
Summary:
cuDNN versions of dropout and LRN (for native fp16 support), port of Caffe's max pooling algo that uses an explicit mask to store locations (also supports fp16 storage)
Closes https://github.com/caffe2/caffe2/pull/396
Reviewed By: akyrola
Differential Revision: D4990880
Pulled By: asaadaldien
fbshipit-source-id: a716acffb656843e9b31e3e6808bd2d8aa959d03
Summary:
rename model_helpers to brew. This is a big diff now. I did these things:
1. replace model_helpers with brew:
find . -type f -exec sed -i 's/model_helpers/brew/g' {} +
2. rename model_helpers.py and model_helpers_test.py
3. rename ModelHelpersTest to BrewTest
4. lowercase all the helper functions to distinguish them from single op
5. run my unittests
6. run converge tests
Reviewed By: salexspb
Differential Revision: D4930465
fbshipit-source-id: f420a1b03238df1cbe9f4426e0b9c43a12119661
