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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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84
unsupported/test/cxx11_tensor_convolution_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_convolution_sycl
#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t
#define EIGEN_USE_SYCL
#include <iostream>
@@ -35,12 +35,12 @@ static const float error_threshold =1e-4f;
template <typename DataType, int DataLayout, typename IndexType>
static void test_larg_expr1D(const Eigen::SyclDevice& sycl_device)
{
int indim0 =53;
int indim1= 55;
int indim2= 51;
int outdim0=50;
int outdim1=55;
int outdim2=51;
IndexType indim0 =53;
IndexType indim1= 55;
IndexType indim2= 51;
IndexType outdim0=50;
IndexType outdim1=55;
IndexType outdim2=51;
Eigen::array<IndexType, 3> input_dims = {{indim0, indim1, indim2}};
Eigen::array<IndexType, 1> kernel_dims = {{4}};
Eigen::array<IndexType, 3> result_dims = {{outdim0, outdim1, outdim2}};
@@ -76,9 +76,9 @@ static void test_larg_expr1D(const Eigen::SyclDevice& sycl_device)
result_host=input.convolve(kernel, dims3);
for(int i=0; i< outdim0; i++ ){
for(int j=0; j< outdim1; j++ ){
for(int k=0; k< outdim2; k++ ){
for(IndexType i=0; i< outdim0; i++ ){
for(IndexType j=0; j< outdim1; j++ ){
for(IndexType k=0; k< outdim2; k++ ){
if (!(Eigen::internal::isApprox(result(i,j,k), result_host(i,j,k), error_threshold))) {
std::cout <<std::setprecision(16)<< "mismatch detected at index ( "<< i << " , " << j << ", " << k << " ) " << " \t " << result(i,j,k) << " vs "<< result_host(i,j,k) << std::endl;
assert(false);
@@ -96,12 +96,12 @@ for(int i=0; i< outdim0; i++ ){
template <typename DataType, int DataLayout, typename IndexType>
static void test_larg_expr2D(const Eigen::SyclDevice& sycl_device)
{
int indim0 =53;
int indim1= 55;
int indim2= 51;
int outdim0=50;
int outdim1=51;
int outdim2=51;
IndexType indim0 =53;
IndexType indim1= 55;
IndexType indim2= 51;
IndexType outdim0=50;
IndexType outdim1=51;
IndexType outdim2=51;
Eigen::array<IndexType, 3> input_dims = {{indim0, indim1, indim2}};
Eigen::array<IndexType, 2> kernel_dims = {{4,5}};
Eigen::array<IndexType, 3> result_dims = {{outdim0, outdim1, outdim2}};
@@ -137,9 +137,9 @@ static void test_larg_expr2D(const Eigen::SyclDevice& sycl_device)
result_host=input.convolve(kernel, dims3);
for(int i=0; i< outdim0; i++ ){
for(int j=0; j< outdim1; j++ ){
for(int k=0; k< outdim2; k++ ){
for(IndexType i=0; i< outdim0; i++ ){
for(IndexType j=0; j< outdim1; j++ ){
for(IndexType k=0; k< outdim2; k++ ){
if (!(Eigen::internal::isApprox(result(i,j,k), result_host(i,j,k), error_threshold))) {
std::cout <<std::setprecision(16)<< "mismatch detected at index ( "<< i << " , " << j << ", " << k << " ) " << " \t " << result(i,j,k) << " vs "<< result_host(i,j,k) << std::endl;
assert(false);
@@ -157,12 +157,12 @@ for(int i=0; i< outdim0; i++ ){
template <typename DataType, int DataLayout, typename IndexType>
static void test_larg_expr3D(const Eigen::SyclDevice& sycl_device)
{
int indim0 =53;
int indim1= 55;
int indim2= 51;
int outdim0=50;
int outdim1=51;
int outdim2=49;
IndexType indim0 =53;
IndexType indim1= 55;
IndexType indim2= 51;
IndexType outdim0=50;
IndexType outdim1=51;
IndexType outdim2=49;
Eigen::array<IndexType, 3> input_dims = {{indim0, indim1, indim2}};
Eigen::array<IndexType, 3> kernel_dims = {{4,5,3}};
Eigen::array<IndexType, 3> result_dims = {{outdim0, outdim1, outdim2}};
@@ -198,9 +198,9 @@ static void test_larg_expr3D(const Eigen::SyclDevice& sycl_device)
result_host=input.convolve(kernel, dims3);
for(int i=0; i< outdim0; i++ ){
for(int j=0; j< outdim1; j++ ){
for(int k=0; k< outdim2; k++ ){
for(IndexType i=0; i< outdim0; i++ ){
for(IndexType j=0; j< outdim1; j++ ){
for(IndexType k=0; k< outdim2; k++ ){
if (!(Eigen::internal::isApprox(result(i,j,k), result_host(i,j,k), error_threshold))) {
std::cout <<std::setprecision(16)<< "mismatch detected at index ( "<< i << " , " << j << ", " << k << " ) " << " \t " << result(i,j,k) << " vs "<< result_host(i,j,k) << std::endl;
assert(false);
@@ -446,20 +446,20 @@ static void test_strides(const Eigen::SyclDevice& sycl_device){
template <typename Dev_selector> void tensorConvolutionPerDevice(Dev_selector& s){
QueueInterface queueInterface(s);
auto sycl_device=Eigen::SyclDevice(&queueInterface);
test_larg_expr1D<float, RowMajor, ptrdiff_t>(sycl_device);
test_larg_expr1D<float, ColMajor, ptrdiff_t>(sycl_device);
test_larg_expr2D<float, RowMajor, ptrdiff_t>(sycl_device);
test_larg_expr2D<float, ColMajor, ptrdiff_t>(sycl_device);
test_larg_expr3D<float, RowMajor, ptrdiff_t>(sycl_device);
test_larg_expr3D<float, ColMajor, ptrdiff_t>(sycl_device);
test_evals<float, ColMajor, ptrdiff_t>(sycl_device);
test_evals<float, RowMajor, ptrdiff_t>(sycl_device);
test_expr<float, ColMajor, ptrdiff_t>(sycl_device);
test_expr<float, RowMajor, ptrdiff_t>(sycl_device);
test_modes<float, ColMajor, ptrdiff_t>(sycl_device);
test_modes<float, RowMajor, ptrdiff_t>(sycl_device);
test_strides<float, ColMajor, ptrdiff_t>(sycl_device);
test_strides<float, RowMajor, ptrdiff_t>(sycl_device);
test_larg_expr1D<float, RowMajor, int64_t>(sycl_device);
test_larg_expr1D<float, ColMajor, int64_t>(sycl_device);
test_larg_expr2D<float, RowMajor, int64_t>(sycl_device);
test_larg_expr2D<float, ColMajor, int64_t>(sycl_device);
test_larg_expr3D<float, RowMajor, int64_t>(sycl_device);
test_larg_expr3D<float, ColMajor, int64_t>(sycl_device);
test_evals<float, ColMajor, int64_t>(sycl_device);
test_evals<float, RowMajor, int64_t>(sycl_device);
test_expr<float, ColMajor, int64_t>(sycl_device);
test_expr<float, RowMajor, int64_t>(sycl_device);
test_modes<float, ColMajor, int64_t>(sycl_device);
test_modes<float, RowMajor, int64_t>(sycl_device);
test_strides<float, ColMajor, int64_t>(sycl_device);
test_strides<float, RowMajor, int64_t>(sycl_device);
}
void test_cxx11_tensor_convolution_sycl() {