wehub-resource-sync
112 lines
3.3 KiB
C++
112 lines
3.3 KiB
C++
// Copyright (c) 2019 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/device_worker.h"
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#include <gtest/gtest.h>
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#include "paddle/fluid/framework/lod_tensor.h"
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namespace paddle {
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namespace framework {
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TEST(DenseTensor, PrintDenseTensor) {
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phi::DenseTensor tensor1;
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tensor1.Resize({2});
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tensor1.mutable_data<float>(phi::CPUPlace());
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tensor1.data<float>()[0] = 0.2;
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tensor1.data<float>()[1] = 0.5;
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std::string res = PrintDenseTensor(&tensor1, -1, 2);
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ASSERT_EQ(res, "access violation");
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res = PrintDenseTensor(&tensor1, 0, 2);
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ASSERT_EQ(res, "0.2,0.5");
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phi::DenseTensor tensor2;
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tensor2.Resize({2});
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tensor2.mutable_data<int64_t>(phi::CPUPlace());
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tensor2.data<int64_t>()[0] = 1;
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tensor2.data<int64_t>()[1] = 2;
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res = PrintDenseTensor(&tensor2, -1, 2);
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ASSERT_EQ(res, "access violation");
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res = PrintDenseTensor(&tensor2, 0, 2);
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ASSERT_EQ(res, "1,2");
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phi::DenseTensor tensor3;
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tensor3.Resize({2});
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tensor3.mutable_data<double>(phi::CPUPlace());
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tensor3.data<double>()[0] = 0.1;
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tensor3.data<double>()[1] = 0.2;
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res = PrintDenseTensor(&tensor3, 0, 2);
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ASSERT_EQ(res, "0.1,0.2");
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phi::DenseTensor tensor4;
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tensor4.Resize({2});
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tensor4.mutable_data<double>(phi::CPUPlace());
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tensor4.data<double>()[0] = 0.1;
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tensor4.data<double>()[1] = 0.2;
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res = "";
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PrintDenseTensor(&tensor4, 0, 2, res);
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// ASSERT_EQ(res, "0.1,0.2");
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phi::DenseTensor tensor5;
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tensor5.Resize({2});
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tensor5.mutable_data<int64_t>(phi::CPUPlace());
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tensor5.data<int64_t>()[0] = 1;
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tensor5.data<int64_t>()[1] = 2;
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res = "";
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PrintDenseTensor(&tensor5, -1, 2, res);
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ASSERT_EQ(res, "access violation");
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res = "";
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PrintDenseTensor(&tensor5, 0, 2, res);
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ASSERT_EQ(res, "1,2");
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phi::DenseTensor tensor6;
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tensor6.Resize({2});
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tensor6.mutable_data<float>(phi::CPUPlace());
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tensor6.data<float>()[0] = 0.2;
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tensor6.data<float>()[1] = 0.5;
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res = "";
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PrintDenseTensor(&tensor6, -1, 2, res);
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// ASSERT_EQ(res, "access violation");
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res = "";
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PrintDenseTensor(&tensor6, 0, 2, res);
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// ASSERT_EQ(res, "0.2,0.5");
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}
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TEST(DenseTensor, GetTensorBound) {
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LegacyLoD lod{{0, 2}};
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phi::DenseTensor tensor;
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tensor.set_lod(lod);
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tensor.Resize({2, 1});
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tensor.mutable_data<float>(phi::CPUPlace());
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tensor.data<float>()[0] = 0;
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tensor.data<float>()[1] = 1;
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std::pair<int64_t, int64_t> res = GetTensorBound(&tensor, 0);
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ASSERT_EQ(res.first, 0);
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ASSERT_EQ(res.second, 2);
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}
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TEST(DenseTensor, CheckValidOutput) {
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LegacyLoD lod{{0, 1, 2}};
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phi::DenseTensor tensor;
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tensor.set_lod(lod);
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tensor.Resize({2, 1});
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tensor.mutable_data<float>(phi::CPUPlace());
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tensor.data<float>()[0] = 0;
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tensor.data<float>()[1] = 1;
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ASSERT_TRUE(CheckValidOutput(&tensor, 2));
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}
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} // namespace framework
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} // namespace paddle
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