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95 lines
3.1 KiB
95 lines
3.1 KiB
/* Copyright (c) 2018 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 <future> // NOLINT
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#include <ostream>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/detail/macros.h"
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#include "paddle/fluid/operators/send_recv_util.h"
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namespace paddle {
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namespace operators {
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class PrefetchOp : public framework::OperatorBase {
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public:
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PrefetchOp(const std::string& type, const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: OperatorBase(type, inputs, outputs, attrs) {}
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void RunImpl(const framework::Scope& scope,
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const platform::Place& place) const override {
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auto ins = Inputs("X");
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auto outs = Outputs("Out");
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std::vector<std::string> epmap = Attr<std::vector<std::string>>("epmap");
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platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
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auto& ctx = *pool.Get(place);
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detail::RPCClient* rpc_client =
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detail::RPCClient::GetInstance<RPCCLIENT_T>();
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for (size_t i = 0; i < ins.size(); i++) {
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if (NeedSend(scope, ins[i])) {
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VLOG(3) << "sending " << ins[i] << " to " << epmap[i] << " to get "
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<< outs[i] << " back";
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rpc_client->AsyncPrefetchVar(epmap[i], ctx, scope, ins[i], outs[i]);
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} else {
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VLOG(3) << "don't send no-initialied variable: " << ins[i];
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}
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}
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rpc_client->Wait();
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}
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};
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class PrefetchOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() {
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AddInput("X", "(LoDTensor) Input Id variables to be sent").AsDuplicable();
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AddOutput("Out",
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"(LoDTensor) result "
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"to be fetched from parameter server")
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.AsDuplicable();
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AddAttr<std::vector<std::string>>(
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"epmap",
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"(string vector, default 127.0.0.1:6164)"
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"Server endpoints in the order of input variables for mapping")
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.SetDefault({"127.0.0.1:6164"});
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AddComment(R"DOC(
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Prefetch operator
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This operator will send Ids variables to listen_and_serve op at
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the parameter server and fetch result back.
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)DOC");
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}
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};
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class PrefetchOpShapeInference : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext* ctx) const override {}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(prefetch, ops::PrefetchOp,
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paddle::framework::EmptyGradOpMaker, ops::PrefetchOpMaker,
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ops::PrefetchOpShapeInference);
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