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paddlepaddle--paddle/paddle/fluid/pybind/eager_legacy_custom_python_api.h
2026-07-13 12:40:42 +08:00

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2.9 KiB
C++

// 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>
#include "paddle/fluid/eager/to_static/run_program_func.h"
#include "paddle/fluid/eager/utils.h"
#include "paddle/phi/core/enforce.h"
using egr::ConvertAllInputsToDistTensor;
using egr::InputsContainDistTensor;
namespace paddle {
namespace pybind {
static PyObject *eager_api_run_program(PyObject *self, // TOREMOVE
PyObject *args,
PyObject *kwargs) {
PyThreadState *tstate = nullptr;
try {
auto X = GetTensorListFromArgs("run_program", "X", args, 0, true);
auto Params = GetTensorListFromArgs("run_program", "Params", args, 1, true);
auto Out = GetTensorPtrListFromArgs("run_program", "Out", args, 2, true);
auto OutScope =
GetScopePtrListFromArgs("run_program", "OutScope", args, 3, false);
const phi::distributed::ProcessMesh *mesh = nullptr;
if (InputsContainDistTensor(&mesh, X, Params, Out)) {
X = GetTensorListFromArgs("run_program", "X", args, 0, true, mesh);
Params =
GetTensorListFromArgs("run_program", "Params", args, 1, true, mesh);
Out = GetTensorPtrListFromArgs("run_program", "Out", args, 2, true, mesh);
}
framework::AttributeMap attrs;
ConstructAttrMapForLegacyRunProgram(
"run_program", args, 5, PyTuple_GET_SIZE(args), attrs);
tstate = PyEval_SaveThread();
egr::to_static::legacy_run_program_ad_func(X, Params, Out, OutScope, attrs);
PyEval_RestoreThread(tstate);
tstate = nullptr;
Py_RETURN_NONE;
} catch (paddle::platform::EnforceNotMet &exception) {
if (tstate) {
PyEval_RestoreThread(tstate);
}
std::ostringstream sout;
sout << exception.what();
sout << " [operator < run_program > error]";
exception.set_error_str(sout.str());
ThrowExceptionToPython(std::current_exception());
return nullptr;
} catch (...) {
if (tstate) {
PyEval_RestoreThread(tstate);
}
ThrowExceptionToPython(std::current_exception());
return nullptr;
}
}
static PyMethodDef CustomEagerMethods[] = {
{"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}};
} // namespace pybind
} // namespace paddle