custom_handwrite_op_funcs.h

// Copyright (c) 2022 PaddlePaddle 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.
#pragma once

#include <iostream>

static PyObject *eager_api_run_program(PyObject *self, PyObject *args,
                                       PyObject *kwargs) {
  PyThreadState *tstate = nullptr;
  try {
    auto X = GetTensorListFromArgs("run_program", "X", args, 0, false);
    auto Params = GetTensorListFromArgs("run_program", "Params", args, 1, true);
    auto Out = GetTensorPtrListFromArgs("run_program", "Out", args, 2, false);
    auto OutScope =
        GetScopePtrListFromArgs("run_program", "OutScope", args, 3, false);
    auto DOut = GetTensorPtrListFromArgs("run_program", "DOut", args, 4, true);
    framework::AttributeMap attrs;
    ConstructAttrMapFromPyArgs("run_program", args, 5, PyTuple_GET_SIZE(args),
                               attrs);

    tstate = PyEval_SaveThread();
    run_program_dygraph_function(X, Params, Out, OutScope, DOut, attrs);
    PyEval_RestoreThread(tstate);
    tstate = nullptr;
  } catch (...) {
    if (tstate) {
      PyEval_RestoreThread(tstate);
    }
    ThrowExceptionToPython(std::current_exception());
  }
  Py_RETURN_NONE;
}

static PyMethodDef CustomEagerFinalStateMethods[] = {
    {"run_program", (PyCFunction)(void (*)(void))eager_api_run_program,
     METH_VARARGS | METH_KEYWORDS,
     "C++ interface function for run_program in dygraph."},

    {nullptr, nullptr, 0, nullptr}};