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Diffstat (limited to 'unsupported/test/cxx11_tensor_of_float16_gpu.cu')
-rw-r--r--unsupported/test/cxx11_tensor_of_float16_gpu.cu6
1 files changed, 3 insertions, 3 deletions
diff --git a/unsupported/test/cxx11_tensor_of_float16_gpu.cu b/unsupported/test/cxx11_tensor_of_float16_gpu.cu
index 4d74e6138..c55676c76 100644
--- a/unsupported/test/cxx11_tensor_of_float16_gpu.cu
+++ b/unsupported/test/cxx11_tensor_of_float16_gpu.cu
@@ -64,7 +64,7 @@ void test_gpu_conversion() {
Eigen::GpuStreamDevice stream;
Eigen::GpuDevice gpu_device(&stream);
int num_elem = 101;
-
+
float* d_float = (float*)gpu_device.allocate(num_elem * sizeof(float));
Eigen::half* d_half = (Eigen::half*)gpu_device.allocate(num_elem * sizeof(Eigen::half));
float* d_conv = (float*)gpu_device.allocate(num_elem * sizeof(float));
@@ -322,7 +322,7 @@ template<typename>
void test_gpu_reductions(int size1, int size2, int redux) {
std::cout << "Reducing " << size1 << " by " << size2
- << " tensor along dim " << redux << std::endl;
+ << " tensor along dim " << redux << std::endl;
Eigen::GpuStreamDevice stream;
Eigen::GpuDevice gpu_device(&stream);
@@ -346,7 +346,7 @@ void test_gpu_reductions(int size1, int size2, int redux) {
gpu_float1.device(gpu_device) = gpu_float1.random() * 2.0f;
gpu_float2.device(gpu_device) = gpu_float2.random() * 2.0f;
- Eigen::array<int, 1> redux_dim = {{redux}};
+ Eigen::array<int, 1> redux_dim = {redux};
gpu_res_float.device(gpu_device) = gpu_float1.sum(redux_dim).cast<Eigen::half>();
gpu_res_half.device(gpu_device) = gpu_float1.cast<Eigen::half>().sum(redux_dim);