wehub-resource-sync
119 lines
3.6 KiB
C++
119 lines
3.6 KiB
C++
/* Copyright (c) 2021 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/platform/device/ipu/ipu_backend.h"
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#include "paddle/fluid/framework/operator.h"
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#include "paddle/fluid/platform/device/ipu/ipu_compiler.h"
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#include "paddle/fluid/platform/device/ipu/ipu_executor.h"
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namespace paddle {
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namespace platform {
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namespace ipu {
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IpuBackend* IpuBackend::GetInstance() {
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static IpuBackend instance;
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return &instance;
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}
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IpuBackend::IpuBackend() {
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compiler_ = std::make_unique<Compiler>();
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executor_ = std::make_unique<Executor>();
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timer_ = std::make_unique<platform::Timer>();
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}
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IpuBackend::~IpuBackend() {
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compiler_.reset();
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executor_.reset();
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}
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void IpuBackend::Compile(framework::ir::Graph* graph,
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const std::vector<std::string>& feed_list,
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const std::vector<std::string>& fetch_list) {
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VLOG(10) << "enter IpuBackend::Compile";
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is_compiled_ = false;
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compiler_->Prepare(graph);
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compiler_->InitInputs(feed_list);
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compiler_->LowerConstants(scope_);
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compiler_->LowerWeights(scope_);
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compiler_->LowerBody();
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compiler_->InitOutputs(fetch_list);
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if (ipu_strategy_->is_training) {
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compiler_->LowerOptimizer(scope_);
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}
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// environment variable IPU_ONNX_DUMP_PATH have higher priority
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std::string onnx_dump_path;
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if (!ipu_strategy_->onnx_dump_path.empty()) {
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onnx_dump_path = ipu_strategy_->onnx_dump_path;
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}
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auto* ipu_onnx_dump_path = getenv("IPU_ONNX_DUMP_PATH");
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if (ipu_onnx_dump_path) {
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onnx_dump_path = std::string{ipu_onnx_dump_path};
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}
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if (!onnx_dump_path.empty()) {
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SaveModelProto(onnx_dump_path);
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}
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executor_->SetCompilerResources(compiler_->GetResources());
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executor_->Prepare(compiler_->GetModelProto());
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is_compiled_ = true;
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VLOG(10) << "leave IpuBackend::Compile";
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}
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void IpuBackend::Run(const std::vector<const phi::DenseTensor*>& inputs,
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const std::vector<phi::DenseTensor*>& outputs,
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const framework::ExecutionContext& ctx) {
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timer_->Start();
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if (ipu_strategy_->enable_model_runtime_executor) {
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executor_->RunPopef(inputs, outputs, ctx);
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} else {
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executor_->Run(inputs, outputs, ctx);
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}
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timer_->Pause();
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VLOG(10) << "[IPU Run]: " << timer_->ElapsedMS() << " (ms)";
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}
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void IpuBackend::WeightsToHost() { executor_->WeightsToHost(); }
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void IpuBackend::Detach() { executor_->Detach(); }
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void IpuBackend::Reset() { executor_->Reset(); }
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void IpuBackend::SetScope(const framework::Scope& scope) {
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scope_ = &scope;
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executor_->SetScope(&scope);
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}
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void IpuBackend::SetIpuStrategy(const IpuStrategy& strategy) {
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ipu_strategy_ = &strategy;
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compiler_->SetIpuStrategy(strategy);
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executor_->SetIpuStrategy(strategy);
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if (!strategy.custom_ops.empty()) {
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compiler_->SetCustomOps(strategy.custom_ops);
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}
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}
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void IpuBackend::SaveModelProto(const std::string& path) {
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if (ipu_strategy_->is_training && is_compiled_) {
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executor_->SaveModelToHost(path);
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} else {
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compiler_->SaveModelProtoNoCheck(path);
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}
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}
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} // namespace ipu
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} // namespace platform
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} // namespace paddle
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