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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
1013 B
Python
38 lines
1013 B
Python
# @package regularizer_context
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# Module caffe2.python.regularizer_context
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from caffe2.python import context
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from caffe2.python.modifier_context import (
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ModifierContext, UseModifierBase)
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class RegularizerContext(ModifierContext, context.DefaultManaged):
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"""
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provide context to allow param_info to have different regularizers
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"""
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def has_regularizer(self, name):
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return self._has_modifier(name)
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def get_regularizer(self, name):
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assert self.has_regularizer(name), (
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"{} regularizer is not provided!".format(name))
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return self._get_modifier(name)
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class UseRegularizer(UseModifierBase):
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'''
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context class to allow setting the current context.
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Example usage with layer:
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regularizers = {'reg1': reg1, 'reg2': reg2}
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with UseRegularizer(regularizers):
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reg = RegularizerContext.current().get_regularizer('reg1')
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layer(reg=reg)
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'''
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def _context_class(self):
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return RegularizerContext
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