c11debf86c
2. Enable unified_api_test to run with TFRT. PiperOrigin-RevId: 331662847 Change-Id: I78e53f4eb32d40b6fc6672af3caf2a5c3c74a22c
46 lines
1.9 KiB
C++
46 lines
1.9 KiB
C++
/* Copyright 2017 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_PYTHON_EAGER_PYWRAP_TENSOR_H_
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#define TENSORFLOW_PYTHON_EAGER_PYWRAP_TENSOR_H_
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#include "tensorflow/c/eager/c_api.h"
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#include "tensorflow/core/framework/types.pb.h"
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#include "tensorflow/core/platform/types.h"
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#include "tensorflow/python/lib/core/numpy.h"
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bool EagerTensor_CheckExact(const PyObject* o);
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tensorflow::int64 PyEagerTensor_ID(const PyObject* tensor);
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tensorflow::DataType PyEagerTensor_Dtype(const PyObject* tensor);
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tensorflow::int64 PyEagerTensor_NumElements(PyObject* tensor);
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TFE_TensorHandle* EagerTensor_Handle(const PyObject* o);
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namespace tensorflow {
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// Converts a value to a TFE_TensorHandle of a given dtype. The handle is
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// first allocated on CPU and then copied to a device identified by
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// device_name, unless it is nullptr.
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//
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// Note that an DT_INT32 handle is always kept on CPU regardless of the
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// device_name argument.
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TFE_TensorHandle* ConvertToEagerTensor(TFE_Context* ctx, PyObject* value,
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DataType dtype,
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const char* device_name = nullptr);
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PyObject* TFE_TensorHandleToNumpy(TFE_TensorHandle* handle, TF_Status* status);
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} // namespace tensorflow
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#endif // TENSORFLOW_PYTHON_EAGER_PYWRAP_TENSOR_H_
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