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Summary: Should be non-semantic. Uses https://en.wikipedia.org/wiki/Wikipedia:Lists_of_common_misspellings/For_machines to find likely typos. Pull Request resolved: https://github.com/pytorch/pytorch/pull/30606 Differential Revision: D18763028 Pulled By: mrshenli fbshipit-source-id: 896515a2156d062653408852e6c04b429fc5955c
68 lines
1.9 KiB
Python
68 lines
1.9 KiB
Python
# @package modifier_context
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# Module caffe2.python.modifier_context
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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DEFAULT_MODIFIER = 'DEFAULT'
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class ModifierContext(object):
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"""
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provide context to allow param_info to have different modifiers
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"""
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def __init__(self):
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self._modifiers = {}
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self._modifiers_list = []
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def _rebuild_modifiers(self):
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self._modifiers = {}
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for m in self._modifiers_list:
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self._modifiers.update(m)
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def _has_modifier(self, name):
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return name in self._modifiers
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def _get_modifier(self, name):
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return self._modifiers.get(name)
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def push_modifiers(self, modifiers):
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# modifier override is allowed
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self._modifiers_list.append(modifiers)
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self._modifiers.update(modifiers)
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def pop_modifiers(self):
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assert len(self._modifiers_list) > 0
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self._modifiers_list.pop()
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self._rebuild_modifiers()
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class UseModifierBase(object):
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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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modifiers = {'modifier1': modifier1, 'modifier2': modifier2}
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with Modifiers(modifiers):
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modifier = ModifierContext.current().get_modifier('modifier1')
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layer(modifier=modifier)
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'''
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def __init__(self, modifier_or_dict):
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if isinstance(modifier_or_dict, dict):
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self._modifiers = modifier_or_dict
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else:
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self._modifiers = {DEFAULT_MODIFIER: modifier_or_dict}
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def _context_class(self):
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raise NotImplementedError
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def __enter__(self):
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self._context_class().current().push_modifiers(self._modifiers)
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return self
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def __exit__(self, type, value, traceback):
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self._context_class().current().pop_modifiers()
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