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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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49
unsupported/test/cxx11_tensor_shuffling_sycl.cpp
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@@ -16,7 +16,7 @@
#define EIGEN_TEST_NO_LONGDOUBLE
#define EIGEN_TEST_NO_COMPLEX
#define EIGEN_TEST_FUNC cxx11_tensor_shuffling_sycl
#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t
#define EIGEN_USE_SYCL
@@ -28,20 +28,20 @@ using Eigen::SyclDevice;
using Eigen::Tensor;
using Eigen::TensorMap;
template <typename DataType, int DataLayout, typename IndexTypes>
template <typename DataType, int DataLayout, typename IndexType>
static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_device)
{
IndexTypes sizeDim1 = 2;
IndexTypes sizeDim2 = 3;
IndexTypes sizeDim3 = 5;
IndexTypes sizeDim4 = 7;
array<IndexTypes, 4> tensorRange = {{sizeDim1, sizeDim2, sizeDim3, sizeDim4}};
Tensor<DataType, 4, DataLayout,IndexTypes> tensor(tensorRange);
Tensor<DataType, 4, DataLayout,IndexTypes> no_shuffle(tensorRange);
IndexType sizeDim1 = 2;
IndexType sizeDim2 = 3;
IndexType sizeDim3 = 5;
IndexType sizeDim4 = 7;
array<IndexType, 4> tensorRange = {{sizeDim1, sizeDim2, sizeDim3, sizeDim4}};
Tensor<DataType, 4, DataLayout,IndexType> tensor(tensorRange);
Tensor<DataType, 4, DataLayout,IndexType> no_shuffle(tensorRange);
tensor.setRandom();
const size_t buffSize =tensor.size()*sizeof(DataType);
array<IndexTypes, 4> shuffles;
array<IndexType, 4> shuffles;
shuffles[0] = 0;
shuffles[1] = 1;
shuffles[2] = 2;
@@ -50,8 +50,8 @@ static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_device)
DataType* gpu_data2 = static_cast<DataType*>(sycl_device.allocate(buffSize));
TensorMap<Tensor<DataType, 4, DataLayout,IndexTypes>> gpu1(gpu_data1, tensorRange);
TensorMap<Tensor<DataType, 4, DataLayout,IndexTypes>> gpu2(gpu_data2, tensorRange);
TensorMap<Tensor<DataType, 4, DataLayout,IndexType>> gpu1(gpu_data1, tensorRange);
TensorMap<Tensor<DataType, 4, DataLayout,IndexType>> gpu2(gpu_data2, tensorRange);
sycl_device.memcpyHostToDevice(gpu_data1, tensor.data(), buffSize);
@@ -64,10 +64,10 @@ static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_device)
VERIFY_IS_EQUAL(no_shuffle.dimension(2), sizeDim3);
VERIFY_IS_EQUAL(no_shuffle.dimension(3), sizeDim4);
for (int i = 0; i < sizeDim1; ++i) {
for (int j = 0; j < sizeDim2; ++j) {
for (int k = 0; k < sizeDim3; ++k) {
for (int l = 0; l < sizeDim4; ++l) {
for (IndexType i = 0; i < sizeDim1; ++i) {
for (IndexType j = 0; j < sizeDim2; ++j) {
for (IndexType k = 0; k < sizeDim3; ++k) {
for (IndexType l = 0; l < sizeDim4; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), no_shuffle(i,j,k,l));
}
}
@@ -78,10 +78,10 @@ static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_device)
shuffles[1] = 3;
shuffles[2] = 1;
shuffles[3] = 0;
array<IndexTypes, 4> tensorrangeShuffle = {{sizeDim3, sizeDim4, sizeDim2, sizeDim1}};
Tensor<DataType, 4, DataLayout,IndexTypes> shuffle(tensorrangeShuffle);
array<IndexType, 4> tensorrangeShuffle = {{sizeDim3, sizeDim4, sizeDim2, sizeDim1}};
Tensor<DataType, 4, DataLayout,IndexType> shuffle(tensorrangeShuffle);
DataType* gpu_data3 = static_cast<DataType*>(sycl_device.allocate(buffSize));
TensorMap<Tensor<DataType, 4,DataLayout,IndexTypes>> gpu3(gpu_data3, tensorrangeShuffle);
TensorMap<Tensor<DataType, 4,DataLayout,IndexType>> gpu3(gpu_data3, tensorrangeShuffle);
gpu3.device(sycl_device)=gpu1.shuffle(shuffles);
sycl_device.memcpyDeviceToHost(shuffle.data(), gpu_data3, buffSize);
@@ -92,10 +92,10 @@ static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_device)
VERIFY_IS_EQUAL(shuffle.dimension(2), sizeDim2);
VERIFY_IS_EQUAL(shuffle.dimension(3), sizeDim1);
for (int i = 0; i < sizeDim1; ++i) {
for (int j = 0; j < sizeDim2; ++j) {
for (int k = 0; k < sizeDim3; ++k) {
for (int l = 0; l < sizeDim4; ++l) {
for (IndexType i = 0; i < sizeDim1; ++i) {
for (IndexType j = 0; j < sizeDim2; ++j) {
for (IndexType k = 0; k < sizeDim3; ++k) {
for (IndexType l = 0; l < sizeDim4; ++l) {
VERIFY_IS_EQUAL(tensor(i,j,k,l), shuffle(k,l,j,i));
}
}
@@ -107,9 +107,6 @@ static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_device)
template<typename DataType, typename dev_Selector> void sycl_shuffling_test_per_device(dev_Selector s){
QueueInterface queueInterface(s);
auto sycl_device = Eigen::SyclDevice(&queueInterface);
test_simple_shuffling_sycl<DataType, RowMajor, int>(sycl_device);
test_simple_shuffling_sycl<DataType, ColMajor, int>(sycl_device);
test_simple_shuffling_sycl<DataType, RowMajor, int64_t>(sycl_device);
test_simple_shuffling_sycl<DataType, ColMajor, int64_t>(sycl_device);