Files
kompute/test/TestOpTensorCopy.cpp

163 lines
4.5 KiB
C++

#include "gtest/gtest.h"
#include "kompute/Kompute.hpp"
TEST(TestOpTensorCopy, CopyDeviceToDeviceTensor)
{
kp::Manager mgr;
std::vector<float> testVecA{ 9, 8, 7 };
std::vector<float> testVecB{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA{ new kp::Tensor(testVecA) };
std::shared_ptr<kp::Tensor> tensorB{ new kp::Tensor(testVecB) };
mgr.rebuild({ tensorA, tensorB });
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
mgr.evalOpDefault<kp::OpTensorCopy>({ tensorA, tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
// Making sure the GPU holds the same data
mgr.evalOpDefault<kp::OpTensorSyncLocal>({ tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
}
TEST(TestOpTensorCopy, CopyDeviceToDeviceTensorMulti)
{
kp::Manager mgr;
std::vector<float> testVecA{ 9, 8, 7 };
std::vector<float> testVecB{ 0, 0, 0 };
std::vector<float> testVecC{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA{ new kp::Tensor(testVecA) };
std::shared_ptr<kp::Tensor> tensorB{ new kp::Tensor(testVecB) };
std::shared_ptr<kp::Tensor> tensorC{ new kp::Tensor(testVecC) };
mgr.rebuild({ tensorA, tensorB, tensorC });
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
EXPECT_TRUE(tensorC->isInit());
mgr.evalOpDefault<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.evalOpDefault<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{ 9, 8, 7 };
std::vector<float> testVecB{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA{ new kp::Tensor(testVecA) };
std::shared_ptr<kp::Tensor> tensorB{ new kp::Tensor(
testVecB, kp::Tensor::TensorTypes::eHost) };
mgr.rebuild({ tensorA, tensorB }, false);
// Only calling sync on device type tensor
mgr.evalOpDefault<kp::OpTensorSyncDevice>({ tensorA });
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
mgr.evalOpDefault<kp::OpTensorCopy>({ tensorA, tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
// Making sure the GPU holds the same data
mgr.evalOpDefault<kp::OpTensorSyncLocal>({ tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
}
TEST(TestOpTensorCopy, CopyHostToDeviceTensor)
{
kp::Manager mgr;
std::vector<float> testVecA{ 9, 8, 7 };
std::vector<float> testVecB{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA{ new kp::Tensor(
testVecA, kp::Tensor::TensorTypes::eHost) };
std::shared_ptr<kp::Tensor> tensorB{ new kp::Tensor(testVecB) };
mgr.rebuild({ tensorA, tensorB }, false);
// Only calling sync on device type tensor
mgr.evalOpDefault<kp::OpTensorSyncDevice>({ tensorB });
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
mgr.evalOpDefault<kp::OpTensorCopy>({ tensorA, tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
// Making sure the GPU holds the same data
mgr.evalOpDefault<kp::OpTensorSyncLocal>({ tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
}
TEST(TestOpTensorCopy, CopyHostToHostTensor)
{
kp::Manager mgr;
std::vector<float> testVecA{ 9, 8, 7 };
std::vector<float> testVecB{ 0, 0, 0 };
std::shared_ptr<kp::Tensor> tensorA{ new kp::Tensor(
testVecA, kp::Tensor::TensorTypes::eHost) };
std::shared_ptr<kp::Tensor> tensorB{ new kp::Tensor(
testVecB, kp::Tensor::TensorTypes::eHost) };
mgr.rebuild({ tensorA, tensorB });
EXPECT_TRUE(tensorA->isInit());
EXPECT_TRUE(tensorB->isInit());
mgr.evalOpDefault<kp::OpTensorCopy>({ tensorA, tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
// Making sure the GPU holds the same data
mgr.evalOpDefault<kp::OpTensorSyncLocal>({ tensorB });
EXPECT_EQ(tensorA->data(), tensorB->data());
}
TEST(TestOpTensorCopy, SingleTensorShouldFail)
{
kp::Manager mgr;
std::vector<float> testVecA{ 9, 8, 7 };
std::shared_ptr<kp::Tensor> tensorA{ new kp::Tensor(
testVecA, kp::Tensor::TensorTypes::eHost) };
mgr.rebuild({ tensorA }, false);
EXPECT_TRUE(tensorA->isInit());
EXPECT_THROW(mgr.evalOpDefault<kp::OpTensorCopy>({ tensorA }),
std::runtime_error);
}