Summary: Implement a brew wrapper for the LayerNorm op. This adds the scalar weight and bias terms to the op.
Reviewed By: jmp84
Differential Revision: D5595836
fbshipit-source-id: 467b2e1158b0c454a149d4b26c47719826e98752
Summary:
This diff is the first step in the effort for refactoring all parameters. As a first step - I'm merging concept of params and computed_params, that is going
to be based on tags instead (in the first version it's still using old data structs to store all the BlobReferences).
Renaming computed_params to non-trainable/non-backprop params should be done is some other diff.
Reviewed By: salexspb
Differential Revision: D5171159
fbshipit-source-id: 68031ca779f053fb266a7c4a2e5b482a3bd9c832
Summary:
This diff is the first step in the effort for refactoring all paramters. As a
first step - I'm merging concept of params and computed_params, that is going
to be based on tags instead (in the first version it's still using old data
structs to store all the BlobReferences).
Renaming computed_params to non-trainable/non-backprop params should be done is
some other diff.
Reviewed By: salexspb
Differential Revision: D5119830
fbshipit-source-id: 2001090a37346eb12abbb234e13e727c288eb8a7
Summary:
Correct schema generation was previously broken leading to invalid gradient op creation.
Also exhibited in model_device_helper, where invalid schema were being created on the CPU when kwargs['engine'] == 'CUDNN'
Closes https://github.com/caffe2/caffe2/pull/617
Reviewed By: asaadaldien
Differential Revision: D5097062
Pulled By: akyrola
fbshipit-source-id: e22181f857deccb7b4395e87271e2cbf1226eb64
Summary:
Update rnn_cell.py and char_rnn.py example with new `brew` model.
- Deprecated CNNModelHelper
- replace all helper functions with brew helper functions
- Use `model.net.<SingleOp>` format to create bare bone Operator for better clarity.
Reviewed By: salexspb
Differential Revision: D5062963
fbshipit-source-id: 254f7b9059a29621027d2b09e932f3f81db2e0ce
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
