58 lines
1.5 KiB
C++
58 lines
1.5 KiB
C++
// SPDX-License-Identifier: Apache-2.0
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#include "gtest/gtest.h"
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#include "kompute/Kompute.hpp"
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#include "kompute/logger/Logger.hpp"
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TEST(TestTensor, ConstructorData)
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{
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kp::Manager mgr;
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std::vector<float> vec{ 0, 1, 2 };
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std::shared_ptr<kp::TensorT<float>> tensor = mgr.tensor(vec);
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EXPECT_EQ(tensor->size(), vec.size());
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EXPECT_EQ(tensor->dataTypeMemorySize(), sizeof(float));
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EXPECT_EQ(tensor->vector(), vec);
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}
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TEST(TestTensor, DataTypes)
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{
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kp::Manager mgr;
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{
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std::vector<float> vec{ 0, 1, 2 };
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std::shared_ptr<kp::TensorT<float>> tensor = mgr.tensor(vec);
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EXPECT_EQ(tensor->dataType(), kp::Tensor::TensorDataTypes::eFloat);
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}
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{
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std::vector<int32_t> vec{ 0, 1, 2 };
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std::shared_ptr<kp::TensorT<int32_t>> tensor = mgr.tensorT(vec);
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EXPECT_EQ(tensor->dataType(), kp::Tensor::TensorDataTypes::eInt);
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}
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{
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std::vector<uint32_t> vec{ 0, 1, 2 };
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std::shared_ptr<kp::TensorT<uint32_t>> tensor = mgr.tensorT(vec);
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EXPECT_EQ(tensor->dataType(),
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kp::Tensor::TensorDataTypes::eUnsignedInt);
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}
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{
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std::vector<double> vec{ 0, 1, 2 };
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std::shared_ptr<kp::TensorT<double>> tensor = mgr.tensorT(vec);
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EXPECT_EQ(tensor->dataType(), kp::Tensor::TensorDataTypes::eDouble);
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}
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}
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int
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main(int argc, char* argv[])
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{
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testing::InitGoogleTest(&argc, argv);
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#if !KOMPUTE_OPT_LOG_LEVEL_DISABLED
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logger::setupLogger();
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#endif
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return RUN_ALL_TESTS();
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}
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