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71 lines
2.1 KiB
71 lines
2.1 KiB
// Copyright (c) 2018 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/naive_executor.h"
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#include <gtest/gtest.h>
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#include <algorithm>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/program_desc.h"
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namespace paddle {
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namespace framework {
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TEST(NaiveExecutor, Basic) {
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ProgramDesc program;
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auto* main_block = program.MutableBlock(0);
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auto* a = main_block->Var("a"); // input
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auto* b = main_block->Var("b"); // input
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auto* c = main_block->Var("c"); // input
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a->SetType(proto::VarType::LOD_TENSOR);
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b->SetType(proto::VarType::LOD_TENSOR);
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c->SetType(proto::VarType::LOD_TENSOR);
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auto* add = main_block->AppendOp();
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add->SetType("elementwise_add");
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add->SetInput("X", {"a"});
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add->SetInput("Y", {"b"});
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add->SetOutput("Out", {"c"});
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auto place = platform::CPUPlace();
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NaiveExecutor exe(place);
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exe.Prepare(nullptr, program, 0, false);
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auto* a_tensor = exe.FindTensor("a");
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auto* b_tensor = exe.FindTensor("b");
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auto* c_tensor = exe.FindTensor("c");
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a_tensor->Resize({1, 4});
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b_tensor->Resize({1, 4});
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c_tensor->Resize({1, 4});
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b_tensor->mutable_data<float>(place);
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a_tensor->mutable_data<float>(place);
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float a_arr[] = {0, 1, 2, 3};
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float b_arr[] = {0.0, .1, .2, .3};
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std::copy_n(a_arr, 4, a_tensor->mutable_data<float>(place));
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std::copy_n(b_arr, 4, b_tensor->mutable_data<float>(place));
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exe.Run();
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auto* c_data = c_tensor->mutable_data<float>(place);
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for (int i = 0; i < 4; i++) {
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EXPECT_NEAR(c_data[i], 1.1 * i, 1e-3);
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}
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}
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} // namespace framework
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} // namespace paddle
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USE_OP(elementwise_add);
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