add prefetch_op (#9495)
* add prefetch_op * fix ci * optimize code * optimize code * fix includehelinwang-patch-1
Qiao Longfei
8 years ago
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GitHub
parent
fa21436d0d
commit
f0af1398b8
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/* 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>
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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/grpc_client.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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auto client_var_name = Output("RPCClient");
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PADDLE_ENFORCE_NOT_NULL(scope.FindVar(client_var_name),
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"Can not find variable '%s' in the scope.",
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client_var_name);
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auto* client_var = scope.FindVar(client_var_name);
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detail::RPCClient* rpc_client = client_var->GetMutable<detail::RPCClient>();
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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->AsyncPrefetchVariable(epmap[i], ctx, scope, ins[i],
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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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PADDLE_ENFORCE(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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PrefetchOpMaker(OpProto* proto, OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "(LoDTensor) Input Id variables to be sent").AsDuplicable();
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AddOutput("RPCClient",
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"(RPCClient) The RPC client object which will be"
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"initialized at most once.");
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AddOutput("Out",
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"(SelectedRows) 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 PrefetchOpVarTypeInference : public framework::VarTypeInference {
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public:
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void operator()(const framework::OpDesc& op_desc,
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framework::BlockDesc* block) const override {
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auto out_var_name = op_desc.Output("RPCClient").front();
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auto& out_var = block->FindRecursiveOrCreateVar(out_var_name);
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auto var_type = framework::proto::VarType::RAW;
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out_var.SetType(var_type);
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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::PrefetchOpVarTypeInference,
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ops::PrefetchOpShapeInference);
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@ -0,0 +1,36 @@
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/* 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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namespace paddle {
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namespace operators {
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inline bool NeedSend(const framework::Scope& scope,
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const std::string& varname) {
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auto* var = scope.FindVar(varname);
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PADDLE_ENFORCE_NOT_NULL(var, "Can not find variable '%s' in the send side.",
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varname);
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if (var->IsType<framework::LoDTensor>()) {
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return var->Get<framework::LoDTensor>().IsInitialized();
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} else if (var->IsType<framework::SelectedRows>()) {
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return var->Get<framework::SelectedRows>().rows().size() > 0UL;
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} else {
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PADDLE_THROW(
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"Variable type in send side should be in "
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"[LodTensor, SelectedRows]");
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}
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return false;
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}
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} // namespace operators
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} // namespace paddle
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