3f7adb0d48
Refactoring in preparation for adding Python-specific logic to clients, but it also is more readable than inlining this kind of logic into the binding code. PiperOrigin-RevId: 314994078 Change-Id: I3b7253d4a14ff418068e49f9bd321d85695f9c8b
33 lines
1.2 KiB
C++
33 lines
1.2 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_COMPILER_XLA_PYTHON_DLPACK_H_
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#define TENSORFLOW_COMPILER_XLA_PYTHON_DLPACK_H_
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#include "pybind11/pybind11.h"
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#include "tensorflow/compiler/xla/python/py_buffer.h"
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#include "tensorflow/compiler/xla/python/py_client.h"
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namespace xla {
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StatusOr<pybind11::capsule> BufferToDLPackManagedTensor(PyBuffer* buffer);
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StatusOr<std::unique_ptr<PyBuffer>> DLPackManagedTensorToBuffer(
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const pybind11::capsule& tensor, std::shared_ptr<PyClient> client);
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_PYTHON_DLPACK_H_
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