wehub-resource-sync
90 lines
3.1 KiB
C++
90 lines
3.1 KiB
C++
// Copyright (c) 2021 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/framework/ir/ipu/inference_postprocess_pass.h"
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#include "paddle/fluid/framework/ir/fuse_pass_base.h"
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#include "paddle/fluid/framework/ir/pass_tester_helper.h"
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#include "paddle/fluid/platform/device/ipu/ipu_backend.h"
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#include "paddle/fluid/platform/device/ipu/ipu_strategy.h"
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace framework {
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namespace ir {
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void InferencePostprocessPass::ApplyImpl(ir::Graph *graph) const {
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VLOG(10) << "enter InferencePostprocessPass::ApplyImpl";
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std::vector<std::string> feed_list;
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feed_list = Get<std::vector<std::string>>("feed_list");
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std::vector<std::string> fetch_list;
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fetch_list = Get<std::vector<std::string>>("fetch_list");
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auto *feed_var = new paddle::framework::VarDesc("feed");
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feed_var->SetType(proto::VarType::FEED_MINIBATCH);
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auto *feed_var_node = graph->CreateVarNode(feed_var);
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auto *fetch_var = new paddle::framework::VarDesc("fetch");
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fetch_var->SetType(proto::VarType::FETCH_LIST);
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auto *fetch_var_node = graph->CreateVarNode(fetch_var);
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for (int i = 0; i < feed_list.size(); i++) {
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for (auto node : graph->Nodes()) {
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if (node->Name() == feed_list[i]) {
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auto *op = new paddle::framework::OpDesc();
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op->SetType("feed");
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op->SetInput("X", {"feed"});
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op->SetOutput("Out", {node->Name()});
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op->SetAttr("col", i);
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auto *op_node = graph->CreateOpNode(op);
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node->inputs.push_back(op_node);
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op_node->outputs.push_back(node);
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feed_var_node->outputs.push_back(op_node);
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op_node->inputs.push_back(feed_var_node);
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break;
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}
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}
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}
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for (int i = 0; i < fetch_list.size(); i++) {
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for (auto node : graph->Nodes()) {
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if (node->Name() == fetch_list[i]) {
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auto *op = new paddle::framework::OpDesc();
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op->SetType("fetch");
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op->SetInput("X", {node->Name()});
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op->SetOutput("Out", {"fetch"});
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op->SetAttr("col", i);
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auto *op_node = graph->CreateOpNode(op);
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node->outputs.push_back(op_node);
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op_node->inputs.push_back(node);
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fetch_var_node->inputs.push_back(op_node);
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op_node->outputs.push_back(fetch_var_node);
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break;
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}
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}
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}
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VLOG(10) << "leave InferencePostprocessPass::ApplyImpl";
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}
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} // namespace ir
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} // namespace framework
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} // namespace paddle
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REGISTER_PASS(inference_postprocess_pass,
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paddle::framework::ir::InferencePostprocessPass)
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.RequirePassAttr("feed_list")
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.RequirePassAttr("fetch_list");
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