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author | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2016-10-05 10:42:41 -0700 |
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committer | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2016-10-05 10:42:41 -0700 |
commit | 4387433acf9cd2eab3713349163cd1e8905b5854 (patch) | |
tree | 1faae6de3458998b9ad2facb8e36e67634075b1a | |
parent | aad20d700dd12ea69323b7e8777c204ad8399e08 (diff) |
Increased the robustness of the reduction tests on fp16
-rw-r--r-- | unsupported/test/cxx11_tensor_of_float16_cuda.cu | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/unsupported/test/cxx11_tensor_of_float16_cuda.cu b/unsupported/test/cxx11_tensor_of_float16_cuda.cu index b70c46722..2f86980a2 100644 --- a/unsupported/test/cxx11_tensor_of_float16_cuda.cu +++ b/unsupported/test/cxx11_tensor_of_float16_cuda.cu @@ -339,8 +339,8 @@ void test_cuda_reductions(int size1, int size2, int redux) { Eigen::TensorMap<Eigen::Tensor<Eigen::half, 1>, Eigen::Aligned> gpu_res_float( d_res_float, result_size); - gpu_float1.device(gpu_device) = gpu_float1.random() - 0.5f; - gpu_float2.device(gpu_device) = gpu_float2.random() - 0.5f; + 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}}; gpu_res_float.device(gpu_device) = gpu_float1.sum(redux_dim).cast<Eigen::half>(); |