6e3bea20a1
We'll want this for implementing copy for `TF_AbstractOp`s backed by `TFE_Op`s (since we want to copy the type/attributes but not the inputs). PiperOrigin-RevId: 309756974 Change-Id: I07a8c48f50ab6d3c8a7d7db972fb60202b86434d
34 lines
1.7 KiB
C
34 lines
1.7 KiB
C
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#ifndef TENSORFLOW_C_CONVERSION_MACROS_H_
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#define TENSORFLOW_C_CONVERSION_MACROS_H_
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#define DEFINE_CONVERSION_FUNCTIONS(cpp_impl, wrapper) \
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inline cpp_impl *unwrap(wrapper *w) { \
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return reinterpret_cast<cpp_impl *>(w); \
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} \
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\
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inline const cpp_impl *unwrap(const wrapper *w) { \
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return reinterpret_cast<const cpp_impl *>(w); \
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} \
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\
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inline wrapper *wrap(cpp_impl *i) { return reinterpret_cast<wrapper *>(i); } \
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inline const wrapper *wrap(const cpp_impl *i) { \
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return reinterpret_cast<const wrapper *>(i); \
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}
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#endif // TENSORFLOW_C_CONVERSION_MACROS_H_
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