wehub-resource-sync
53 lines
1.9 KiB
Python
53 lines
1.9 KiB
Python
# Copyright 2020 The TensorFlow 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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# ==============================================================================
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"""Op composition registration."""
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# TODO(fengliuai): add the tf_export decrator
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class Composite(object):
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"""A decorator to register a function as a composition for an TF operator.
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The argument to the decorator must be the name of a TF raw operator the
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function composites for. Decorated function must take positional arguments
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which corresponds to the input and attributes in OpDef of the TF operation.
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# TODO(fengliuai): more documents here.
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Example:
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@composite.Composite('AddN')
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def _compose_add_n(inputs, N):
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if N == 1:
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....
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"""
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# TODO(fengliuai): support input_binding and output_binding so the arguments
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# are not positional.
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def __init__(self,
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op_name,
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inputs=None,
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attrs=None,
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derived_attrs=None,
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outputs=None):
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self._op_name = op_name
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self._inputs = inputs
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self._attrs = attrs
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self._derived_attrs = derived_attrs
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self._outputs = outputs
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def __call__(self, compose_fn):
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# TODO(fengliuai): more sanity check of the input function and make sure
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# the bounded arguments of the function matches the 'inputs' and 'attrs'.
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setattr(compose_fn, '_tfr_op_name', self._op_name)
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return compose_fn
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