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118 lines
4.2 KiB
118 lines
4.2 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 "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/distributed/distributed.h"
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namespace paddle {
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namespace framework {
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class InferShapeContext;
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class OpDesc;
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class Scope;
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template <typename T>
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class EmptyGradOpMaker;
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} // namespace framework
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namespace imperative {
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class OpBase;
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} // namespace imperative
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} // namespace paddle
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namespace paddle {
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namespace operators {
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class CheckpointNotifyOp : public framework::OperatorBase {
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public:
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CheckpointNotifyOp(const std::string& type,
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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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std::vector<std::string> epmap =
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Attr<std::vector<std::string>>("endpoints");
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std::string dirname = Attr<std::string>("dirname");
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std::string varname = Attr<std::string>("varname");
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auto mode = Attr<int>("mode");
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if (mode != 0 && mode != 1 && mode != 2) {
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PADDLE_THROW(platform::errors::InvalidArgument(
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"mode expected in [0/1/2], but got %d", mode));
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}
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std::vector<std::string> slice_varnames =
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Attr<std::vector<std::string>>("slice_varnames");
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std::vector<std::string> remote_varnames =
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Attr<std::vector<std::string>>("remote_varnames");
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distributed::RPCClient* rpc_client =
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distributed::RPCClient::GetInstance<RPCCLIENT_T>(0);
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for (size_t i = 0; i < epmap.size(); i++) {
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auto save_path =
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string::Sprintf("%s/%s/%s", dirname, varname, slice_varnames[i]);
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rpc_client->AsyncCheckpointNotify(epmap[i], save_path, remote_varnames[i],
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mode);
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VLOG(3) << "checkpoint notify sending with path: " << save_path
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<< " and var:" << slice_varnames[i] << " to " << epmap[i]
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<< " with mode " << mode;
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}
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PADDLE_ENFORCE_EQ(
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rpc_client->Wait(), true,
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platform::errors::Fatal("Fail to notify checkpoint."
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" Internal error occurs in RPCClient."));
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}
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};
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class CheckpointNotifyOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() {
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AddAttr<std::vector<std::string>>(
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"endpoints",
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"(string vector)"
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"Parameter Server endpoints in the order");
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AddAttr<std::string>("dirname",
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"(string) indicate the folder checkpoint will use");
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AddAttr<std::string>("varname", "(string) the var need to be saved");
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AddAttr<std::vector<std::string>>(
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"slice_varnames", "(string vector) the slice vars need to be saved");
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AddAttr<std::vector<std::string>>(
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"remote_varnames", "(string vector) the slice vars need to be saved");
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AddAttr<int>("mode", "mode=0/1/2 means nothing/save base/save delta")
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.SetDefault(0);
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AddComment(R"DOC(
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CheckpointNotify operator
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This operator will send lookup table and it's checkpoint direcoty to listen_and_serve op at
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the parameter server.
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)DOC");
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}
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};
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class CheckpointNotifyOpShapeInference : 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(
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checkpoint_notify, ops::CheckpointNotifyOp,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
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ops::CheckpointNotifyOpMaker, ops::CheckpointNotifyOpShapeInference);
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