diff options
| author |  Antonio Sánchez <cantonios@google.com> | 2020-05-28 17:40:15 +0000 |
|---|---|---|
| committer |  Rasmus Munk Larsen <rmlarsen@google.com> | 2020-05-28 17:40:15 +0000 |
| commit | 8719b9c5bc1a97e62d675c02495ed72dda6fae73 (patch) | |
| tree | 3c91fd5b4bc0d08eda6ccbba28dbea3da117de42 /unsupported/test/cxx11_tensor_of_float16_gpu.cu | |
| parent | 8e1df5b08280f07a8814719fdbbeaf6fababd2dc (diff) | |
Disable test for 32-bit systems (e.g. ARM, i386)
Both i386 and 32-bit ARM do not define __uint128_t. On most systems, if
__uint128_t is defined, then so is the macro __SIZEOF_INT128__.
https://stackoverflow.com/questions/18531782/how-to-know-if-uint128-t-is-defined1
Diffstat (limited to 'unsupported/test/cxx11_tensor_of_float16_gpu.cu')
| -rw-r--r-- | unsupported/test/cxx11_tensor_of_float16_gpu.cu | 6 |
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); |