Integrated Trainer of Parameter Server (API add `fluid.contrib.layers.sparse_embedding` only) (#22957)
* Integrated Trainer of Parameter Serverfix_copy_if_different
tangwei12
5 years ago
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/* Copyright (c) 2019 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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#pragma once
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#include <iostream>
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#include <string>
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#include <vector>
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namespace paddle {
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namespace operators {
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namespace distributed {
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struct CommContext {
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CommContext() = default;
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CommContext(const std::string &name, const std::vector<std::string> &names,
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const std::vector<std::string> &emap,
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const std::vector<int64_t> §ions,
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const std::vector<std::string> &origin_names, int id,
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bool merge_add_ = true, bool is_sparse_ = true,
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bool is_distributed_ = false)
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: var_name(name),
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splited_varnames(names),
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epmap(emap),
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height_sections(sections),
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origin_varnames(origin_names),
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trainer_id(id),
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merge_add(merge_add_),
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is_sparse(is_sparse_),
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is_distributed(is_distributed_) {}
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CommContext(const CommContext &ctx) {
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var_name = ctx.var_name;
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splited_varnames = ctx.splited_varnames;
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epmap = ctx.epmap;
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height_sections = ctx.height_sections;
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trainer_id = ctx.trainer_id;
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merge_add = ctx.merge_add;
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is_sparse = ctx.is_sparse;
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origin_varnames = ctx.origin_varnames;
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is_distributed = ctx.is_distributed;
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}
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std::string print() const {
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std::stringstream ss;
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ss << "varname: " << var_name << " trainer_id: " << trainer_id << " ";
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for (size_t i = 0; i < splited_varnames.size(); i++) {
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ss << "slice varname: " << splited_varnames[i] << " ep: " << epmap[i]
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<< " section: " << height_sections[i] << " ";
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}
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ss << "origin varnames: ";
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for (size_t i = 0; i < origin_varnames.size(); i++) {
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ss << origin_varnames[i] << " ";
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}
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ss << " aggregation->add: " << merge_add << " ";
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ss << " is_sparse: " << is_sparse << "\n";
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ss << " is_distributed: " << is_distributed << "\n";
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return ss.str();
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}
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std::string var_name;
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std::vector<std::string> splited_varnames;
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std::vector<std::string> epmap;
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std::vector<int64_t> height_sections;
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std::vector<std::string> origin_varnames;
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int trainer_id;
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bool merge_add;
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bool is_sparse;
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bool is_distributed;
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};
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} // namespace distributed
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} // namespace operators
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} // namespace paddle
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@ -0,0 +1,26 @@
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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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#include "paddle/fluid/operators/distributed/large_scale_kv.h"
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namespace paddle {
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namespace operators {
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namespace distributed {
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std::once_flag LargeScaleKV::init_flag_;
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std::shared_ptr<LargeScaleKV> LargeScaleKV::scale_kv_(nullptr);
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} // namespace distributed
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} // namespace operators
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} // namespace paddle
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File diff suppressed because it is too large
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File diff suppressed because it is too large
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File diff suppressed because it is too large
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File diff suppressed because it is too large
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