remove async executor and add data_feed.proto to the deps of train demo (#18659)
* remove async executor and add data_feed.proto to the deps of train demoDDDivano-patch-1
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ce1ec33299
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d714bf037c
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/* Copyright (c) 2016 PaddlePaddle 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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#include <fcntl.h>
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// To avoid conflicting definition in gcc-4.8.2 headers and pyconfig.h (2.7.3)
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#ifdef _POSIX_C_SOURCE
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#undef _POSIX_C_SOURCE
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#endif
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#ifdef _XOPEN_SOURCE
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#undef _XOPEN_SOURCE
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#endif
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#include <memory>
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#include <string>
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#include <vector>
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#include "google/protobuf/io/zero_copy_stream_impl.h"
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#include "google/protobuf/text_format.h"
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#include "paddle/fluid/framework/async_executor.h"
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#include "paddle/fluid/framework/data_feed.h"
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#include "paddle/fluid/framework/data_feed.pb.h"
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/inference/io.h"
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#include "paddle/fluid/platform/place.h"
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#include "paddle/fluid/platform/variant.h"
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#include "paddle/fluid/pybind/async_executor_py.h"
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namespace py = pybind11;
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namespace pd = paddle::framework;
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namespace paddle {
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namespace pybind {
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using set_name_func = void (pd::DataFeedDesc::*)(const std::string&);
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#ifdef PADDLE_WITH_PSLIB
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void BindAsyncExecutor(py::module* m) {
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py::class_<framework::AsyncExecutor>(*m, "AsyncExecutor")
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.def(py::init([](framework::Scope* scope, const platform::Place& place) {
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return std::unique_ptr<framework::AsyncExecutor>(
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new framework::AsyncExecutor(scope, place));
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}))
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.def("run_from_files", &framework::AsyncExecutor::RunFromFile)
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.def("init_server", &framework::AsyncExecutor::InitServer)
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.def("init_worker", &framework::AsyncExecutor::InitWorker)
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.def("start_server", &framework::AsyncExecutor::StartServer)
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.def("stop_server", &framework::AsyncExecutor::StopServer)
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.def("gather_servers", &framework::AsyncExecutor::GatherServers)
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.def("init_model", &framework::AsyncExecutor::InitModel)
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.def("save_model", &framework::AsyncExecutor::SaveModel);
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} // end BindAsyncExecutor
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#else
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void BindAsyncExecutor(py::module* m) {
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py::class_<framework::AsyncExecutor>(*m, "AsyncExecutor")
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.def(py::init([](framework::Scope* scope, const platform::Place& place) {
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return std::unique_ptr<framework::AsyncExecutor>(
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new framework::AsyncExecutor(scope, place));
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}))
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.def("run_from_files", &framework::AsyncExecutor::RunFromFile);
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} // end BindAsyncExecutor
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#endif
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} // end namespace pybind
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} // end namespace paddle
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@ -1,28 +0,0 @@
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#pragma once
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#include "pybind11/pybind11.h"
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#include "pybind11/stl.h"
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namespace py = pybind11;
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namespace paddle {
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namespace pybind {
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void BindAsyncExecutor(py::module* m);
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} // namespace pybind
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} // namespace paddle
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