Files
kompute/test/TestOpTensorCopy.cpp
Alejandro Saucedo 63e220a8a4 Reformat
2021-02-28 16:02:37 +00:00

156 lines
4.3 KiB
C++

#include "gtest/gtest.h"
#include "kompute/Kompute.hpp"
TEST(TestOpTensorCopy, CopyDeviceToDeviceTensor)
{
kp::Manager mgr;
std::vector<float> testVecA{ 1, 2, 3 };
std::vector<float> testVecB{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA = mgr.tensor(testVecA);
std::shared_ptr<kp::Tensor> tensorB = mgr.tensor(testVecB);
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
mgr.sequence()
->eval<kp::OpTensorSyncDevice>({ tensorA, tensorB })
->eval<kp::OpTensorCopy>({ tensorA, tensorB })
->eval<kp::OpTensorSyncLocal>({ tensorA, tensorB });
// Making sure the GPU holds the same data
EXPECT_EQ(tensorA->data(), tensorB->data());
}
TEST(TestOpTensorCopy, CopyDeviceToDeviceTensorMulti)
{
kp::Manager mgr;
std::vector<float> testVecA{ 2, 3, 4 };
std::vector<float> testVecB{ 0, 0, 0 };
std::vector<float> testVecC{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA = mgr.tensor(testVecA);
std::shared_ptr<kp::Tensor> tensorB = mgr.tensor(testVecB);
std::shared_ptr<kp::Tensor> tensorC = mgr.tensor(testVecC);
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
EXPECT_TRUE(tensorC->isInit());
mgr.sequence()
->eval<kp::OpTensorSyncLocal>({ tensorA, tensorB, tensorC })
->eval<kp::OpTensorCopy>({ tensorA, tensorB, tensorC });
EXPECT_EQ(tensorA->data(), tensorB->data());
EXPECT_EQ(tensorA->data(), tensorC->data());
// Making sure the GPU holds the same data
mgr.sequence()->eval<kp::OpTensorSyncLocal>({ tensorB, tensorC });
EXPECT_EQ(tensorA->data(), tensorB->data());
EXPECT_EQ(tensorA->data(), tensorC->data());
}
TEST(TestOpTensorCopy, CopyDeviceToHostTensor)
{
kp::Manager mgr;
std::vector<float> testVecA{ 3, 4, 5 };
std::vector<float> testVecB{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA = mgr.tensor(testVecA);
std::shared_ptr<kp::Tensor> tensorB =
mgr.tensor(testVecB, kp::Tensor::TensorTypes::eHost);
// Only calling sync on device type tensor
mgr.sequence()->eval<kp::OpTensorSyncDevice>({ tensorA });
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
mgr.sequence()->eval<kp::OpTensorCopy>({ tensorA, tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
// Making sure the GPU holds the same data
mgr.sequence()->eval<kp::OpTensorSyncLocal>({ tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
}
TEST(TestOpTensorCopy, CopyHostToDeviceTensor)
{
kp::Manager mgr;
std::vector<float> testVecA{ 4, 5, 6 };
std::vector<float> testVecB{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA =
mgr.tensor(testVecA, kp::Tensor::TensorTypes::eHost);
std::shared_ptr<kp::Tensor> tensorB = mgr.tensor(testVecB);
// Only calling sync on device type tensor
mgr.sequence()->eval<kp::OpTensorSyncDevice>({ tensorA, tensorB });
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
mgr.sequence()->eval<kp::OpTensorCopy>({ tensorA, tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
// Making sure the GPU holds the same data
mgr.sequence()->eval<kp::OpTensorSyncLocal>({ tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
}
TEST(TestOpTensorCopy, CopyHostToHostTensor)
{
kp::Manager mgr;
std::vector<float> testVecA{ 5, 6, 7 };
std::vector<float> testVecB{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA =
mgr.tensor(testVecA, kp::Tensor::TensorTypes::eHost);
std::shared_ptr<kp::Tensor> tensorB =
mgr.tensor(testVecB, kp::Tensor::TensorTypes::eHost);
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
mgr.sequence()
->eval<kp::OpTensorSyncDevice>({ tensorA })
->eval<kp::OpTensorCopy>({ tensorA, tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
// Making sure the GPU holds the same data
mgr.sequence()->eval<kp::OpTensorSyncLocal>({ tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
}
TEST(TestOpTensorCopy, SingleTensorShouldFail)
{
kp::Manager mgr;
std::vector<float> testVecA{ 6, 7, 8 };
std::shared_ptr<kp::Tensor> tensorA =
mgr.tensor(testVecA, kp::Tensor::TensorTypes::eHost);
EXPECT_TRUE(tensorA->isInit());
EXPECT_THROW(mgr.sequence()->eval<kp::OpTensorCopy>({ tensorA }),
std::runtime_error);
}