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Reducing warnings in Sycl backend.

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This commit is contained in:
Mehdi Goli
2017-02-01 15:29:53 +00:00
parent 48a20b7d95
commit bab29936a1
19 changed files with 666 additions and 672 deletions
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42
unsupported/test/cxx11_tensor_striding_sycl.cpp
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@@ -14,7 +14,7 @@
#define EIGEN_TEST_NO_LONGDOUBLE
#define EIGEN_TEST_NO_COMPLEX
#define EIGEN_TEST_FUNC cxx11_tensor_striding_sycl
#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t
#define EIGEN_USE_SYCL
#include <iostream>
@@ -72,10 +72,10 @@ static void test_simple_striding(const Eigen::SyclDevice& sycl_device)
VERIFY_IS_EQUAL(no_stride.dimension(2), 5);
VERIFY_IS_EQUAL(no_stride.dimension(3), 7);
for (int i = 0; i < 2; ++i) {
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 5; ++k) {
for (int l = 0; l < 7; ++l) {
for (IndexType i = 0; i < 2; ++i) {
for (IndexType j = 0; j < 3; ++j) {
for (IndexType k = 0; k < 5; ++k) {
for (IndexType l = 0; l < 7; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), no_stride(i,j,k,l));
}
}
@@ -97,10 +97,10 @@ static void test_simple_striding(const Eigen::SyclDevice& sycl_device)
VERIFY_IS_EQUAL(stride.dimension(2), 3);
VERIFY_IS_EQUAL(stride.dimension(3), 3);
for (int i = 0; i < 1; ++i) {
for (int j = 0; j < 1; ++j) {
for (int k = 0; k < 3; ++k) {
for (int l = 0; l < 3; ++l) {
for (IndexType i = 0; i < 1; ++i) {
for (IndexType j = 0; j < 1; ++j) {
for (IndexType k = 0; k < 3; ++k) {
for (IndexType l = 0; l < 3; ++l) {
VERIFY_IS_EQUAL(tensor(2*i,4*j,2*k,3*l), stride(i,j,k,l));
}
}
@@ -151,10 +151,10 @@ static void test_striding_as_lvalue(const Eigen::SyclDevice& sycl_device)
gpu_stride.stride(strides).device(sycl_device)=gpu_tensor;
sycl_device.memcpyDeviceToHost(stride.data(), d_stride, stride_bytes);
for (int i = 0; i < 2; ++i) {
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 5; ++k) {
for (int l = 0; l < 7; ++l) {
for (IndexType i = 0; i < 2; ++i) {
for (IndexType j = 0; j < 3; ++j) {
for (IndexType k = 0; k < 5; ++k) {
for (IndexType l = 0; l < 7; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), stride(2*i,4*j,2*k,3*l));
}
}
@@ -172,10 +172,10 @@ static void test_striding_as_lvalue(const Eigen::SyclDevice& sycl_device)
gpu_no_stride.stride(strides).device(sycl_device)=gpu_tensor.stride(no_strides);
sycl_device.memcpyDeviceToHost(no_stride.data(), d_no_stride, no_stride_bytes);
for (int i = 0; i < 2; ++i) {
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 5; ++k) {
for (int l = 0; l < 7; ++l) {
for (IndexType i = 0; i < 2; ++i) {
for (IndexType j = 0; j < 3; ++j) {
for (IndexType k = 0; k < 5; ++k) {
for (IndexType l = 0; l < 7; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), no_stride(2*i,4*j,2*k,3*l));
}
}
@@ -190,10 +190,10 @@ static void test_striding_as_lvalue(const Eigen::SyclDevice& sycl_device)
template <typename Dev_selector> void tensorStridingPerDevice(Dev_selector& s){
QueueInterface queueInterface(s);
auto sycl_device=Eigen::SyclDevice(&queueInterface);
test_simple_striding<float, ColMajor, ptrdiff_t>(sycl_device);
test_simple_striding<float, RowMajor, ptrdiff_t>(sycl_device);
test_striding_as_lvalue<float, ColMajor, ptrdiff_t>(sycl_device);
test_striding_as_lvalue<float, RowMajor, ptrdiff_t>(sycl_device);
test_simple_striding<float, ColMajor, int64_t>(sycl_device);
test_simple_striding<float, RowMajor, int64_t>(sycl_device);
test_striding_as_lvalue<float, ColMajor, int64_t>(sycl_device);
test_striding_as_lvalue<float, RowMajor, int64_t>(sycl_device);
}
void test_cxx11_tensor_striding_sycl() {