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91 lines
2.7 KiB
91 lines
2.7 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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/framework/executor.h"
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#include <iostream>
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#include <memory>
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#include <vector>
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#include "paddle/framework/lod_tensor.h"
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#include "paddle/framework/op_registry.h"
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#include "paddle/framework/scope.h"
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namespace paddle {
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namespace framework {
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Executor::Executor(const std::vector<platform::Place>& places) {
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device_contexts_.resize(places.size());
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for (size_t i = 0; i < places.size(); i++) {
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if (platform::is_cpu_place(places[i])) {
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device_contexts_[i] = new platform::CPUDeviceContext(
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boost::get<platform::CPUPlace>(places[i]));
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} else if (platform::is_gpu_place(places[i])) {
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#ifndef PADDLE_ONLY_CPU
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device_contexts_[i] = new platform::CUDADeviceContext(
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boost::get<platform::GPUPlace>(places[i]));
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#else
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PADDLE_THROW("'GPUPlace' is not supported in CPU only device.");
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#endif
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}
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}
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}
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Executor::~Executor() {
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for (auto& device_context : device_contexts_) {
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if (device_context) {
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delete device_context;
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}
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}
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}
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void Executor::Run(const ProgramDesc& pdesc, Scope* scope,
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std::vector<Tensor>* outputs) {
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// TODO(tonyyang-svail):
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// - only runs the first block
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// - only runs on the first device
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// - test on gpu
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auto& block = pdesc.blocks(0);
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auto& device = device_contexts_[0];
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// TODO(tonyyang-svail):
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// - runs on a new local scope
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// Scope& local_scope = scope->NewScope();
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for (auto& var : block.vars()) {
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scope->NewVar(var.name());
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}
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for (auto& op_desc : block.ops()) {
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auto op = paddle::framework::OpRegistry::CreateOp(op_desc);
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std::cout << op->DebugString() << std::endl;
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op->Run(*scope, *device);
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}
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// TODO(tonyyang-svail): need to test gpu device
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for (auto& device_context : device_contexts_) {
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device_context->Wait();
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}
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// // print tensor value
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// for (auto& var : block.vars()) {
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// std::cout << var.name() << std::endl;
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// auto v = scope->FindVar(var.name());
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// const LoDTensor& t = v->Get<LoDTensor>();
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// for (int i = 0; i < t.numel(); ++i)
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// std::cout << t.data<float>()[i] << " ";
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// std::cout << std::endl;
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// }
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}
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} // namespace framework
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} // namespace paddle
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