wehub-resource-sync
75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import inspect
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class Registry:
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"""A general registry object."""
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__slots__ = ['name', 'rules']
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def __init__(self, name):
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self.name = name
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self.rules = {}
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def register(self, op_type, rule):
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assert isinstance(op_type, str)
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assert inspect.isfunction(rule)
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assert op_type not in self.rules, (
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f'name "{op_type}" should not be registered before.'
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)
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self.rules[op_type] = rule
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def lookup(self, op_type):
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return self.rules.get(op_type)
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_decomposition_ops = Registry('decomposition')
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def register_decomp(op_type):
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"""
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Decorator for registering the lower function for an original op into sequence of primitive ops.
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Args:
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op_type(str): The op name
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Returns:
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wrapper: Inner wrapper function
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Examples:
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.. code-block:: pycon
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>>> from paddle.decomposition import register
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>>> @register.register_decomp('softmax')
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>>> def softmax(x, axis):
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... molecular = exp(x)
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... denominator = broadcast_to(sum(molecular, axis=axis, keepdim=True), x.shape)
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... res = divide(molecular, denominator)
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... return res
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"""
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if not isinstance(op_type, str):
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raise TypeError(f'op_type must be str, but got {type(op_type)}.')
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def wrapper(f):
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_decomposition_ops.register(op_type, f)
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return f
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return wrapper
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def get_decomp_rule(op_type):
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_lowerrule = _decomposition_ops.lookup(op_type)
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return _lowerrule
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