Summary:
There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports:
```2to3 -f future -w caffe2```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033
Reviewed By: seemethere
Differential Revision: D23808648
Pulled By: bugra
fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
Summary:
Given the parameter init_params=False, Weight Blob(*_w) and Bias Blob (*_b) should be suppressed in model.param_init_net. Without this fix, the init_params=False doesn't take effect in brew.conv as it does in brew.fc or other ops. This issue is the root cause of #790 [https://github.com/caffe2/caffe2/pull/790].
Closes https://github.com/caffe2/caffe2/pull/824
Reviewed By: harouwu
Differential Revision: D5276676
Pulled By: akyrola
fbshipit-source-id: 8f7088a8e1976658f67e027223e555375b3a2392
Summary:
This diff is creating new type of Initializer - ExternalInitializer. This
initializer is supposed to be used in cases when the parameter blob is already
expected to exist in the workspace.
Reviewed By: dzhulgakov
Differential Revision: D5171322
fbshipit-source-id: d27861f0f80afdea93c235d49f63da19adccc92c
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:
Adds support for generating and training pfp16 models. Added SGD optimizer for multi-precision trainers and a new callback to data_parallel_model in order to help multi-precision models keep their different copies of parameters in sync during training.
Closes https://github.com/caffe2/caffe2/pull/697
Differential Revision: D5159712
Pulled By: salexspb
fbshipit-source-id: 60a889494d2e2f4df1d720331e19f638c5eb95cc
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
Summary:
Add conv helpers, the migration of functions assumes that people should not do
cnn_model = CNNModelHelper(use_cudnn=True)
cnn_model.Conv(..., use_cudnn=False, ...)
Reviewed By: salexspb
Differential Revision: D4884974
fbshipit-source-id: 12af6e2a5863eba789232cd4a4771f95d05f9227
