mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-21 21:49:24 +08:00
dc7d8a889e
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/48340 This changes the context managed classes from using a decorator to define them to using inheritance. Inheritance allows the python static type checking to work correctly. ``` context.define_context() class Bar(object): ... context.define_context(allow_default=True) class Foo(object): ... ``` becomes ``` class Foo(context.Managed): ... class Bar(context.DefaultManaged): ... ``` Behavior differences: * arg_name has been removed since it's not used anywhere * classes need to call `super()` in `__enter__/__exit__` methods if they override (none do) This also defines a context.pyi file to add types for python3. python2 support should not be affected Test Plan: ci buck test //caffe2/caffe2/python:context_test //caffe2/caffe2/python:checkpoint_test Reviewed By: dongyuzheng Differential Revision: D25133469 fbshipit-source-id: 16368bf723eeb6ce3308d6827f5ac5e955b4e29a
38 lines
1007 B
Python
38 lines
1007 B
Python
# @package regularizer_context
|
|
# Module caffe2.python.normalizer_context
|
|
|
|
|
|
|
|
|
|
|
|
from caffe2.python import context
|
|
from caffe2.python.modifier_context import (
|
|
ModifierContext, UseModifierBase)
|
|
|
|
|
|
class NormalizerContext(ModifierContext, context.DefaultManaged):
|
|
"""
|
|
provide context to allow param_info to have different normalizers
|
|
"""
|
|
|
|
def has_normalizer(self, name):
|
|
return self._has_modifier(name)
|
|
|
|
def get_normalizer(self, name):
|
|
assert self.has_normalizer(name), (
|
|
"{} normalizer is not provided!".format(name))
|
|
return self._get_modifier(name)
|
|
|
|
|
|
class UseNormalizer(UseModifierBase):
|
|
'''
|
|
context class to allow setting the current context.
|
|
Example usage with layer:
|
|
normalizers = {'norm1': norm1, 'norm2': norm2}
|
|
with UseNormalizer(normalizers):
|
|
norm = NormalizerContext.current().get_normalizer('norm1')
|
|
layer(norm=norm)
|
|
'''
|
|
def _context_class(self):
|
|
return NormalizerContext
|