mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
27c7158166
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
39 lines
1.0 KiB
Python
39 lines
1.0 KiB
Python
# @package regularizer_context
|
|
# Module caffe2.python.regularizer_context
|
|
|
|
|
|
|
|
|
|
|
|
from caffe2.python import context
|
|
from caffe2.python.modifier_context import (
|
|
ModifierContext, UseModifierBase)
|
|
|
|
|
|
@context.define_context(allow_default=True)
|
|
class RegularizerContext(ModifierContext):
|
|
"""
|
|
provide context to allow param_info to have different regularizers
|
|
"""
|
|
|
|
def has_regularizer(self, name):
|
|
return self._has_modifier(name)
|
|
|
|
def get_regularizer(self, name):
|
|
assert self.has_regularizer(name), (
|
|
"{} regularizer is not provided!".format(name))
|
|
return self._get_modifier(name)
|
|
|
|
|
|
class UseRegularizer(UseModifierBase):
|
|
'''
|
|
context class to allow setting the current context.
|
|
Example usage with layer:
|
|
regularizers = {'reg1': reg1, 'reg2': reg2}
|
|
with UseRegularizer(regularizers):
|
|
reg = RegularizerContext.current().get_regularizer('reg1')
|
|
layer(reg=reg)
|
|
'''
|
|
def _context_class(self):
|
|
return RegularizerContext
|