STT-tensorflow/tensorflow/c/eager/custom_device_testutil.h
Allen Lavoie 109fd384bd Add a way to register custom devices with the Python TFE_Context
Reapplying cl/305762978 / 17b7bc01bc

PiperOrigin-RevId: 305796963
Change-Id: Ic2e8e962a04600bf0847ae081887343edc32c918
2020-04-09 17:50:19 -07:00

37 lines
1.5 KiB
C

/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_
#define TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_
// A simple logging device to test custom device registration.
#include <memory>
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/tf_status.h"
void RegisterLoggingDevice(TFE_Context* context, const char* name,
bool* arrived_flag, bool* executed_flag,
TF_Status* status);
void AllocateLoggingDevice(const char* name, bool* arrived_flag,
bool* executed_flag, TFE_CustomDevice** device,
void** device_info);
TFE_TensorHandle* UnpackTensorHandle(TFE_TensorHandle* logged_tensor_handle,
TF_Status* status);
#endif // TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_