120 lines
3.8 KiB
C++
120 lines
3.8 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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TEST(TestManager, EndToEndOpMultEvalFlow)
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{
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kp::Manager mgr;
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std::shared_ptr<kp::TensorT<float>> tensorLHS = mgr.tensor({ 0, 1, 2 });
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std::shared_ptr<kp::TensorT<float>> tensorRHS = mgr.tensor({ 2, 4, 6 });
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std::shared_ptr<kp::TensorT<float>> tensorOutput = mgr.tensor({ 0, 0, 0 });
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std::vector<std::shared_ptr<kp::Tensor>> params = { tensorLHS,
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tensorRHS,
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tensorOutput };
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mgr.sequence()
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->eval<kp::OpTensorSyncDevice>(params)
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->eval<kp::OpMult>(params, mgr.algorithm())
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->eval<kp::OpTensorSyncLocal>(params);
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EXPECT_EQ(tensorOutput->vector(), std::vector<float>({ 0, 4, 12 }));
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}
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TEST(TestManager, EndToEndOpMultSeqFlow)
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{
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kp::Manager mgr;
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std::shared_ptr<kp::TensorT<float>> tensorLHS = mgr.tensor({ 0, 1, 2 });
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std::shared_ptr<kp::TensorT<float>> tensorRHS = mgr.tensor({ 2, 4, 6 });
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std::shared_ptr<kp::TensorT<float>> tensorOutput = mgr.tensor({ 0, 0, 0 });
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std::vector<std::shared_ptr<kp::Tensor>> params = { tensorLHS,
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tensorRHS,
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tensorOutput };
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mgr.sequence()
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->record<kp::OpTensorSyncDevice>(params)
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->record<kp::OpMult>(params, mgr.algorithm())
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->record<kp::OpTensorSyncLocal>(params)
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->eval();
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EXPECT_EQ(tensorOutput->vector(), std::vector<float>({ 0, 4, 12 }));
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}
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TEST(TestManager, TestMultipleSequences)
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{
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kp::Manager mgr;
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std::shared_ptr<kp::TensorT<float>> tensorLHS = mgr.tensor({ 0, 1, 2 });
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std::shared_ptr<kp::TensorT<float>> tensorRHS = mgr.tensor({ 2, 4, 6 });
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std::shared_ptr<kp::TensorT<float>> tensorOutput = mgr.tensor({ 0, 0, 0 });
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std::vector<std::shared_ptr<kp::Tensor>> params = { tensorLHS,
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tensorRHS,
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tensorOutput };
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mgr.sequence()->eval<kp::OpTensorSyncDevice>(params);
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mgr.sequence()->eval<kp::OpMult>(params, mgr.algorithm());
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mgr.sequence()->eval<kp::OpTensorSyncLocal>(params);
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EXPECT_EQ(tensorOutput->vector(), std::vector<float>({ 0, 4, 12 }));
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}
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TEST(TestManager, TestDeviceProperties)
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{
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kp::Manager mgr;
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const vk::PhysicalDeviceProperties properties = mgr.getDeviceProperties();
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EXPECT_GT(properties.deviceName.size(), 0);
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}
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TEST(TestManager, TestListDevices)
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{
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kp::Manager mgr;
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const std::vector<vk::PhysicalDevice> devices = mgr.listDevices();
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EXPECT_GT(devices.size(), 0);
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EXPECT_GT(devices[0].getProperties().deviceName.size(), 0);
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}
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TEST(TestManager, TestClearDestroy)
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{
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kp::Manager mgr;
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// Running within scope to run clear
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{
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std::shared_ptr<kp::TensorT<float>> tensorLHS = mgr.tensor({ 0, 1, 2 });
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std::shared_ptr<kp::TensorT<float>> tensorRHS = mgr.tensor({ 2, 4, 6 });
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std::shared_ptr<kp::TensorT<float>> tensorOutput =
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mgr.tensor({ 0, 0, 0 });
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std::vector<std::shared_ptr<kp::Tensor>> params = { tensorLHS,
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tensorRHS,
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tensorOutput };
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mgr.sequence()->eval<kp::OpTensorSyncDevice>(params);
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mgr.sequence()->eval<kp::OpMult>(params, mgr.algorithm());
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mgr.sequence()->eval<kp::OpTensorSyncLocal>(params);
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EXPECT_EQ(tensorOutput->vector(), std::vector<float>({ 0, 4, 12 }));
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}
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mgr.clear();
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mgr.destroy();
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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_ENABLE_SPDLOG
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spdlog::set_level(
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static_cast<spdlog::level::level_enum>(KOMPUTE_LOG_LEVEL));
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#endif
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return RUN_ALL_TESTS();
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}
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