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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 <unistd.h>
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#include <string>
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#include <thread>
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#include "gtest/gtest.h"
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#include "paddle/fluid/operators/detail/grpc_client.h"
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#include "paddle/fluid/operators/detail/grpc_server.h"
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namespace framework = paddle::framework;
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namespace platform = paddle::platform;
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namespace detail = paddle::operators::detail;
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std::unique_ptr<detail::AsyncGRPCServer> rpc_service_;
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void StartServer(const std::string& endpoint) {
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rpc_service_.reset(new detail::AsyncGRPCServer(endpoint));
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}
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TEST(PREFETCH, CPU) {
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// start up a server instance backend
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// TODO(Yancey1989): Need to start a server with optimize blocks and
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// prefetch blocks.
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std::thread server_thread(StartServer, "127.0.0.1:8889");
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framework::Scope scope;
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platform::CPUPlace place;
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platform::CPUDeviceContext ctx(place);
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// create var on local scope
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std::string var_name("tmp_0");
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auto var = scope.Var(var_name);
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auto tensor = var->GetMutable<framework::LoDTensor>();
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tensor->Resize({10, 10});
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detail::RPCClient client;
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client.AsyncPrefetchVariable("127.0.0.1:8889", ctx, scope, var_name, "");
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server_thread.join();
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rpc_service_.reset(nullptr);
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}
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