tensorflow/python/eager/custom_device_testutil.cc

/* 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.
==============================================================================*/

#include "tensorflow/c/eager/custom_device_testutil.h"

#include "Python.h"
#include "pybind11/pybind11.h"  // from @pybind11
#include "pybind11/stl.h"  // from @pybind11
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/safe_ptr.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/python/lib/core/py_exception_registry.h"
#include "tensorflow/python/lib/core/pybind11_lib.h"
#include "tensorflow/python/lib/core/pybind11_status.h"
#include "tensorflow/python/lib/core/safe_pyobject_ptr.h"
#include "tensorflow/python/util/util.h"

namespace py = pybind11;

void CallDelete_Flag(PyObject* capsule) {
  delete reinterpret_cast<bool*>(PyCapsule_GetPointer(capsule, "flag"));
}

void CallDelete_Device(PyObject* capsule) {
  delete reinterpret_cast<TFE_CustomDevice*>(
      PyCapsule_GetPointer(capsule, "TFE_CustomDevice"));
}

void CallDelete_DeviceInfo(PyObject* capsule) {
  PyErr_SetString(PyExc_AssertionError,
                  "Capsule should be consumed by TFE_Py_RegisterCustomDevice");
}

PYBIND11_MODULE(custom_device_testutil, m) {
  m.def("GetLoggingDeviceCapsules", [](const char* name) {
    bool* arrived_flag = new bool;
    bool* executed_flag = new bool;
    *arrived_flag = false;
    *executed_flag = false;
    tensorflow::Safe_PyObjectPtr arrived_capsule(
        PyCapsule_New(arrived_flag, "flag", &CallDelete_Flag));
    tensorflow::Safe_PyObjectPtr executed_capsule(
        PyCapsule_New(executed_flag, "flag", &CallDelete_Flag));
    TFE_CustomDevice* device;
    void* device_info;
    AllocateLoggingDevice(name, arrived_flag, executed_flag, &device,
                          &device_info);
    tensorflow::Safe_PyObjectPtr device_capsule(
        PyCapsule_New(device, "TFE_CustomDevice", &CallDelete_Device));
    tensorflow::Safe_PyObjectPtr device_info_capsule(PyCapsule_New(
        device_info, "TFE_CustomDevice_DeviceInfo", &CallDelete_DeviceInfo));
    return tensorflow::PyoOrThrow(
        PyTuple_Pack(4, device_capsule.get(), device_info_capsule.get(),
                     arrived_capsule.get(), executed_capsule.get()));
  });
  m.def("FlagValue", [](py::capsule flag_capsule) {
    bool* flag = reinterpret_cast<bool*>(
        PyCapsule_GetPointer(flag_capsule.ptr(), "flag"));
    if (PyErr_Occurred()) throw py::error_already_set();
    return *flag;
  });
}