Add unit test for fuse all_reduce ops (#16699)
* test fuse all_reducerevert-16734-refine/test_imperative_transformer
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// Copyright (c) 2019 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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#pragma once
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#include <algorithm>
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#include <string>
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#include <unordered_map>
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#include <utility>
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#include <vector>
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#include "paddle/fluid/framework/details/build_strategy.h"
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#include "paddle/fluid/framework/details/multi_devices_helper.h"
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#include "paddle/fluid/framework/ir/graph_helper.h"
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namespace paddle {
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namespace framework {
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namespace details {
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void SetFuseParameterGroupsSize(int group_size);
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int GetFuseParameterGroupsSize();
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void SetFuseParameterMemorySize(uint64_t memory_size);
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uint64_t GetFuseParameterMemorySize();
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class AllocContinuousSpaceForGradPass : public ir::Pass {
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protected:
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void ApplyImpl(ir::Graph *graph) const override;
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template <typename AttrType>
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void ResetAttribute(const std::string &attr_name, ir::Graph *graph) const;
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void SetGroupGradsAndParams(
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const std::unordered_map<std::string, ir::Node *> &var_nodes,
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const ParamsAndGrads ¶ms_grads,
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GroupGradsAndParams *group_grads_params) const;
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void SetGroupAccordingToLayers(
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const std::unordered_map<std::string, ir::Node *> &var_nodes,
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const ParamsAndGrads ¶ms_grads,
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GroupGradsAndParams *group_grads_params) const;
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void SetGroupAccordingToMemorySize(
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const std::unordered_map<std::string, ir::Node *> &var_nodes,
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GroupGradsAndParams *group_grads_params) const;
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void SetGroupAccordingToGroupSize(
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const std::unordered_map<std::string, ir::Node *> &var_nodes,
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GroupGradsAndParams *group_grads_params) const;
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private:
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bool IsSupportedVarType(const proto::VarType::Type &type) const;
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void RecordParamsAndGrads(ir::Node *node, ParamsAndGrads *params_grads) const;
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void InitFusedVarsAndAllocSpaceForVars(
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const std::vector<platform::Place> &places,
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const std::vector<Scope *> &local_scopes,
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const std::unordered_map<std::string, ir::Node *> &vars,
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const std::string &fused_var_name,
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const ParamsAndGrads ¶ms_grads) const;
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void AppendAllocSpaceForVarsOp(const std::vector<std::string> ¶ms_name,
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const std::vector<std::string> &grads_name,
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const std::string &fused_var_name,
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BlockDesc *global_block) const;
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};
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} // namespace details
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} // namespace framework
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} // namespace paddle
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