mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 00:21:07 +01:00
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
# @package regularizer_context
|
|
# Module caffe2.python.regularizer_context
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
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 useage with layer:
|
|
regularizers = {'reg1': reg1, 'reg2': reg2}
|
|
with Regularizers(regularizers):
|
|
reg = RegularizerContext.current().get_regularizer('reg1')
|
|
layer(reg=reg)
|
|
'''
|
|
def _context_class(self):
|
|
return RegularizerContext
|