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Fixed existing test.

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This commit is contained in:
Luke Iwanski 2016-11-17 17:46:55 +00:00
parent c5130dedbe
commit 7878756dea
1 changed files with 44 additions and 38 deletions
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82
unsupported/test/cxx11_tensor_builtins_sycl.cpp
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@ -25,47 +25,53 @@ using Eigen::SyclDevice;
using Eigen::Tensor;
using Eigen::TensorMap;
namespace std
{
template<typename T> T rsqrt(T x) { return 1/std::sqrt(x); }
template<typename T> T square(T x) { return x*x; }
template<typename T> T cube(T x) { return x*x*x; }
template<typename T> T inverse(T x) { return 1/x; }
namespace std {
template <typename T> T rsqrt(T x) { return 1 / std::sqrt(x); }
template <typename T> T square(T x) { return x * x; }
template <typename T> T cube(T x) { return x * x * x; }
template <typename T> T inverse(T x) { return 1 / x; }
}
#define TEST_UNARY_BUILTINS_FOR_SCALAR(FUNC, SCALAR) \
{ \
Tensor<SCALAR, 3> in1(tensorRange); \
Tensor<SCALAR, 3> out1(tensorRange); \
in1 = in1.random(); \
SCALAR* gpu_data1 = static_cast<SCALAR*>(sycl_device.allocate(in1.size()*sizeof(SCALAR))); \
TensorMap<Tensor<SCALAR, 3>> gpu1(gpu_data1, tensorRange); \
sycl_device.memcpyHostToDevice(gpu_data1, in1.data(),(in1.size())*sizeof(SCALAR)); \
gpu1.device(sycl_device) = gpu1.FUNC(); \
sycl_device.memcpyDeviceToHost(out1.data(), gpu_data1,(out1.size())*sizeof(SCALAR)); \
for (int i = 0; i < in1.size(); ++i) { \
VERIFY_IS_APPROX(out1(i), std::FUNC(in1(i))); \
} \
sycl_device.deallocate(gpu_data1); \
}
#define TEST_UNARY_BUILTINS_FOR_SCALAR(FUNC, SCALAR) \
{ \
Tensor<SCALAR, 3> in(tensorRange); \
Tensor<SCALAR, 3> out(tensorRange); \
in = in.random(); \
SCALAR *gpu_data = static_cast<SCALAR *>( \
sycl_device.allocate(in.size() * sizeof(SCALAR))); \
SCALAR *gpu_data_out = static_cast<SCALAR *>( \
sycl_device.allocate(out.size() * sizeof(SCALAR))); \
TensorMap<Tensor<SCALAR, 3>> gpu(gpu_data, tensorRange); \
TensorMap<Tensor<SCALAR, 3>> gpu_out(gpu_data_out, tensorRange); \
sycl_device.memcpyHostToDevice(gpu_data, in.data(), \
(in.size()) * sizeof(SCALAR)); \
gpu_out.device(sycl_device) = gpu.FUNC(); \
sycl_device.memcpyDeviceToHost(out.data(), gpu_data_out, \
(out.size()) * sizeof(SCALAR)); \
for (int i = 0; i < in.size(); ++i) { \
VERIFY_IS_APPROX(out(i), std::FUNC(in(i))); \
} \
sycl_device.deallocate(gpu_data); \
sycl_device.deallocate(gpu_data_out); \
}
#define TEST_UNARY_BUILTINS(SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(abs, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(sqrt, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(rsqrt, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(square, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(cube, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(inverse, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(tanh, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(exp, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(log, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(abs, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(ceil, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(floor, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(round, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(log1p, SCALAR)
#define TEST_UNARY_BUILTINS(SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(abs, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(sqrt, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(rsqrt, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(square, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(cube, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(inverse, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(tanh, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(exp, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(log, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(abs, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(ceil, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(floor, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(round, SCALAR) \
TEST_UNARY_BUILTINS_FOR_SCALAR(log1p, SCALAR)
static void test_builtin_unary_sycl(const Eigen::SyclDevice &sycl_device){
static void test_builtin_unary_sycl(const Eigen::SyclDevice &sycl_device) {
int sizeDim1 = 100;
int sizeDim2 = 100;
int sizeDim3 = 100;
@ -73,8 +79,8 @@ static void test_builtin_unary_sycl(const Eigen::SyclDevice &sycl_device){
TEST_UNARY_BUILTINS(float)
TEST_UNARY_BUILTINS(double)
}
}
void test_cxx11_tensor_builtins_sycl() {
cl::sycl::gpu_selector s;