f1a2ce4406
This allows future linking against MLIR without bloating binary. This was not done initially since TF lite was in contrib. PiperOrigin-RevId: 257895424
37 lines
1.3 KiB
C++
37 lines
1.3 KiB
C++
/* Copyright 2019 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_LITE_PYTHON_INTERPRETER_WRAPPER_PYTHON_UTILS_H_
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#define TENSORFLOW_LITE_PYTHON_INTERPRETER_WRAPPER_PYTHON_UTILS_H_
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#include <Python.h>
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#include "tensorflow/lite/context.h"
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#include "tensorflow/lite/string_util.h"
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namespace tflite {
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namespace python_utils {
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struct PyDecrefDeleter {
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void operator()(PyObject* p) const { Py_DECREF(p); }
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};
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int ConvertFromPyString(PyObject* obj, char** data, Py_ssize_t* length);
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PyObject* ConvertToPyString(const char* data, size_t length);
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} // namespace python_utils
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} // namespace tflite
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#endif // TENSORFLOW_LITE_PYTHON_INTERPRETER_WRAPPER_PYTHON_UTILS_H_
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