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117 lines
3.1 KiB
117 lines
3.1 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 "gtest/gtest.h"
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#include "paddle/framework/attribute.h"
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#include "paddle/framework/grad_op_builder.h"
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#include "paddle/framework/op_registry.h"
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#include "paddle/framework/operator.h"
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#include <vector>
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USE_OP(elementwise_add);
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USE_OP(gaussian_random);
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using std::string;
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using namespace paddle::platform;
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using namespace paddle::framework;
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typedef paddle::framework::BlockDesc proto_block;
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typedef paddle::framework::OpDesc proto_op;
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void add_gaussian_random_op(string var_name, proto_block* block) {
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std::vector<int> dim{2, 3};
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// insert variable
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auto a = block->add_vars();
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a->set_name(var_name);
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auto a_lt = a->mutable_lod_tensor();
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a_lt->set_data_type(paddle::framework::DataType::FP32);
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for (int i : dim) {
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a_lt->add_dims(i);
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}
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// insert operation
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auto op = block->add_ops();
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op->set_type("gaussian_random");
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auto dims = op->add_attrs();
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dims->set_name("dims");
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dims->set_type(paddle::framework::AttrType::INTS);
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for (int i : dim) {
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dims->add_ints(i);
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}
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auto Out = op->add_outputs();
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Out->set_parameter("Out");
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Out->add_arguments(var_name);
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}
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class ExecutorTester : public ::testing::Test {
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public:
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virtual void SetUp() override {
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auto root_block = pdesc_.add_blocks();
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root_block->set_idx(0);
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root_block->set_parent_idx(-1);
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add_gaussian_random_op("a", root_block);
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add_gaussian_random_op("b", root_block);
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auto c = root_block->add_vars();
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c->set_name("c");
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auto c_lt = c->mutable_lod_tensor();
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c_lt->set_data_type(paddle::framework::DataType::FP32);
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auto op = root_block->add_ops();
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op->set_type("elementwise_add");
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auto X = op->add_inputs();
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X->set_parameter("X");
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X->add_arguments("a");
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auto Y = op->add_inputs();
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Y->set_parameter("Y");
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Y->add_arguments("b");
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auto Out = op->add_outputs();
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Out->set_parameter("Out");
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Out->add_arguments("c");
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}
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protected:
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std::vector<Tensor>* outputs_{nullptr};
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ProgramDesc pdesc_;
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Scope scope_;
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};
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TEST_F(ExecutorTester, InitCPU) {
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std::vector<Place> places;
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CPUPlace cpu_place1, cpu_place2;
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places.push_back(cpu_place1);
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places.push_back(cpu_place2);
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Executor* executor = new Executor(places);
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executor->Run(pdesc_, &scope_, outputs_);
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delete executor;
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}
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#ifndef PADDLE_ONLY_CPU
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TEST_F(ExecutorTester, InitGPU) {
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std::vector<Place> places;
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GPUPlace gpu_place0(0);
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places.push_back(gpu_place0);
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Executor* executor = new Executor(places);
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executor->Run(pdesc_, &scope_, outputs_);
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delete executor;
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}
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#endif
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