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authorGravatar Deven Desai <deven.desai.amd@gmail.com>2018-06-20 16:44:58 -0400
committerGravatar Deven Desai <deven.desai.amd@gmail.com>2018-06-20 16:44:58 -0400
commit1bb6fa99a31d2dcf5431087d3f238e2dcca03084 (patch)
treee62d41b8d6430849aea4bf97785a54488bf542d4 /unsupported/test/cxx11_tensor_reduction_gpu.cu
parentcfdabbcc8f708c06da2bfa4e924edc25619f013a (diff)
merging the CUDA and HIP implementation for the Tensor directory and the unit tests
Diffstat (limited to 'unsupported/test/cxx11_tensor_reduction_gpu.cu')
-rw-r--r--unsupported/test/cxx11_tensor_reduction_gpu.cu10
1 files changed, 5 insertions, 5 deletions
diff --git a/unsupported/test/cxx11_tensor_reduction_gpu.cu b/unsupported/test/cxx11_tensor_reduction_gpu.cu
index ec0669704..a36759303 100644
--- a/unsupported/test/cxx11_tensor_reduction_gpu.cu
+++ b/unsupported/test/cxx11_tensor_reduction_gpu.cu
@@ -9,7 +9,7 @@
#define EIGEN_TEST_NO_LONGDOUBLE
#define EIGEN_TEST_NO_COMPLEX
-#define EIGEN_TEST_FUNC cxx11_tensor_reduction_cuda
+#define EIGEN_TEST_FUNC cxx11_tensor_reduction_gpu
#define EIGEN_USE_GPU
#include "main.h"
@@ -19,7 +19,7 @@
template<typename Type, int DataLayout>
static void test_full_reductions() {
- Eigen::CudaStreamDevice stream;
+ Eigen::GpuStreamDevice stream;
Eigen::GpuDevice gpu_device(&stream);
const int num_rows = internal::random<int>(1024, 5*1024);
@@ -67,7 +67,7 @@ static void test_first_dim_reductions() {
Tensor<Type, 2, DataLayout> redux = in.sum(red_axis);
// Create device
- Eigen::CudaStreamDevice stream;
+ Eigen::GpuStreamDevice stream;
Eigen::GpuDevice dev(&stream);
// Create data(T)
@@ -107,7 +107,7 @@ static void test_last_dim_reductions() {
Tensor<Type, 2, DataLayout> redux = in.sum(red_axis);
// Create device
- Eigen::CudaStreamDevice stream;
+ Eigen::GpuStreamDevice stream;
Eigen::GpuDevice dev(&stream);
// Create data
@@ -134,7 +134,7 @@ static void test_last_dim_reductions() {
}
-void test_cxx11_tensor_reduction_cuda() {
+void test_cxx11_tensor_reduction_gpu() {
CALL_SUBTEST_1((test_full_reductions<float, ColMajor>()));
CALL_SUBTEST_1((test_full_reductions<double, ColMajor>()));
CALL_SUBTEST_2((test_full_reductions<float, RowMajor>()));