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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-05-11 10:05:56 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-05-11 10:05:56 -0700
commitcbb14ed47e79228ca244573e4c9e7cbb6e34903a (patch)
tree145b4cff8619435f11e8da40d13852eb57d884dc /unsupported
parent6a5717dc74d3ce0ed8b581d0dd255ffbf50ffa32 (diff)
Added a few tests to validate the generation of random tensors on GPU.
Diffstat (limited to 'unsupported')
-rw-r--r--unsupported/test/cxx11_tensor_random_cuda.cu54
1 files changed, 52 insertions, 2 deletions
diff --git a/unsupported/test/cxx11_tensor_random_cuda.cu b/unsupported/test/cxx11_tensor_random_cuda.cu
index 5d091de15..fa1a46732 100644
--- a/unsupported/test/cxx11_tensor_random_cuda.cu
+++ b/unsupported/test/cxx11_tensor_random_cuda.cu
@@ -16,7 +16,55 @@
#include "main.h"
#include <Eigen/CXX11/Tensor>
-static void test_default()
+
+void test_cuda_random_uniform()
+{
+ Tensor<float, 2> out(72,97);
+ out.setZero();
+
+ std::size_t out_bytes = out.size() * sizeof(float);
+
+ float* d_out;
+ cudaMalloc((void**)(&d_out), out_bytes);
+
+ Eigen::CudaStreamDevice stream;
+ Eigen::GpuDevice gpu_device(&stream);
+
+ Eigen::TensorMap<Eigen::Tensor<float, 2> > gpu_out(d_out, 72,97);
+
+ gpu_out.device(gpu_device) = gpu_out.random();
+
+ assert(cudaMemcpyAsync(out.data(), d_out, out_bytes, cudaMemcpyDeviceToHost, gpu_device.stream()) == cudaSuccess);
+ assert(cudaStreamSynchronize(gpu_device.stream()) == cudaSuccess);
+
+ // For now we just check thes code doesn't crash.
+ // TODO: come up with a valid test of randomness
+}
+
+
+void test_cuda_random_normal()
+{
+ Tensor<float, 2> out(72,97);
+ out.setZero();
+
+ std::size_t out_bytes = out.size() * sizeof(float);
+
+ float* d_out;
+ cudaMalloc((void**)(&d_out), out_bytes);
+
+ Eigen::CudaStreamDevice stream;
+ Eigen::GpuDevice gpu_device(&stream);
+
+ Eigen::TensorMap<Eigen::Tensor<float, 2> > gpu_out(d_out, 72,97);
+
+ Eigen::internal::NormalRandomGenerator<float> gen(true);
+ gpu_out.device(gpu_device) = gpu_out.random(gen);
+
+ assert(cudaMemcpyAsync(out.data(), d_out, out_bytes, cudaMemcpyDeviceToHost, gpu_device.stream()) == cudaSuccess);
+ assert(cudaStreamSynchronize(gpu_device.stream()) == cudaSuccess);
+}
+
+static void test_complex()
{
Tensor<std::complex<float>, 1> vec(6);
vec.setRandom();
@@ -31,5 +79,7 @@ static void test_default()
void test_cxx11_tensor_random_cuda()
{
- CALL_SUBTEST(test_default());
+ CALL_SUBTEST(test_cuda_random_uniform());
+ CALL_SUBTEST(test_cuda_random_normal());
+ CALL_SUBTEST(test_complex());
}