Fixed the tensor_cuda test

unsupported/test/cxx11_tensor_cuda.cu

diff --git a/unsupported/test/cxx11_tensor_cuda.cu b/unsupported/test/cxx11_tensor_cuda.cu
index 49e1894..79f1c53 100644
--- a/unsupported/test/cxx11_tensor_cuda.cu
+++ b/unsupported/test/cxx11_tensor_cuda.cu
@@ -131,8 +131,7 @@
 
   cudaMemcpy(d_in1, in1.data(), in1_bytes, cudaMemcpyHostToDevice);
 
-  cudaStream_t stream;
-  assert(cudaStreamCreate(&stream) == cudaSuccess);
+  Eigen::CudaStreamDevice stream;
   Eigen::GpuDevice gpu_device(&stream);
 
   Eigen::TensorMap<Eigen::Tensor<float, 4> > gpu_in1(d_in1, 72,53,97,113);
@@ -189,8 +188,7 @@
   cudaMemcpy(d_t_left, t_left.data(), t_left_bytes, cudaMemcpyHostToDevice);
   cudaMemcpy(d_t_right, t_right.data(), t_right_bytes, cudaMemcpyHostToDevice);
 
-  cudaStream_t stream;
-  assert(cudaStreamCreate(&stream) == cudaSuccess);
+  Eigen::CudaStreamDevice stream;
   Eigen::GpuDevice gpu_device(&stream);
 
   Eigen::TensorMap<Eigen::Tensor<float, 4, DataLayout> > gpu_t_left(d_t_left, 6, 50, 3, 31);
@@ -214,7 +212,7 @@
 
   for (size_t i = 0; i < t_result.dimensions().TotalSize(); i++) {
     if (fabs(t_result.data()[i] - m_result.data()[i]) >= 1e-4) {
-      cout << "mismatch detected at index " << i << ": " << t_result.data()[i] << " vs " <<  m_result.data()[i] << endl;
+      std::cout << "mismatch detected at index " << i << ": " << t_result.data()[i] << " vs " <<  m_result.data()[i] << std::endl;
       assert(false);
     }
   }
@@ -243,8 +241,7 @@
   cudaMemcpy(d_input, input.data(), input_bytes, cudaMemcpyHostToDevice);
   cudaMemcpy(d_kernel, kernel.data(), kernel_bytes, cudaMemcpyHostToDevice);
 
-  cudaStream_t stream;
-  assert(cudaStreamCreate(&stream) == cudaSuccess);
+  Eigen::CudaStreamDevice stream;
   Eigen::GpuDevice gpu_device(&stream);
 
   Eigen::TensorMap<Eigen::Tensor<float, 4, DataLayout> > gpu_input(d_input, 74,37,11,137);
@@ -293,8 +290,7 @@
   cudaMemcpy(d_input, input.data(), input_bytes, cudaMemcpyHostToDevice);
   cudaMemcpy(d_kernel, kernel.data(), kernel_bytes, cudaMemcpyHostToDevice);
 
-  cudaStream_t stream;
-  assert(cudaStreamCreate(&stream) == cudaSuccess);
+  Eigen::CudaStreamDevice stream;
   Eigen::GpuDevice gpu_device(&stream);
 
   Eigen::TensorMap<Eigen::Tensor<float, 4, ColMajor> > gpu_input(d_input,74,9,11,7);
@@ -343,8 +339,7 @@
   cudaMemcpy(d_input, input.data(), input_bytes, cudaMemcpyHostToDevice);
   cudaMemcpy(d_kernel, kernel.data(), kernel_bytes, cudaMemcpyHostToDevice);
 
-  cudaStream_t stream;
-  assert(cudaStreamCreate(&stream) == cudaSuccess);
+  Eigen::CudaStreamDevice stream;
   Eigen::GpuDevice gpu_device(&stream);
 
   Eigen::TensorMap<Eigen::Tensor<float, 4, RowMajor> > gpu_input(d_input, 7,9,11,74);
@@ -394,8 +389,7 @@
   cudaMemcpy(d_input, input.data(), input_bytes, cudaMemcpyHostToDevice);
   cudaMemcpy(d_kernel, kernel.data(), kernel_bytes, cudaMemcpyHostToDevice);
 
-  cudaStream_t stream;
-  assert(cudaStreamCreate(&stream) == cudaSuccess);
+  Eigen::CudaStreamDevice stream;
   Eigen::GpuDevice gpu_device(&stream);
 
   Eigen::TensorMap<Eigen::Tensor<float, 4, DataLayout> > gpu_input(d_input,74,37,11,137);
@@ -455,8 +449,7 @@
   cudaMemcpy(d_input, input.data(), input_bytes, cudaMemcpyHostToDevice);
   cudaMemcpy(d_kernel, kernel.data(), kernel_bytes, cudaMemcpyHostToDevice);
 
-  cudaStream_t stream;
-  assert(cudaStreamCreate(&stream) == cudaSuccess);
+  Eigen::CudaStreamDevice stream;    
   Eigen::GpuDevice gpu_device(&stream);
 
   Eigen::TensorMap<Eigen::Tensor<float, 5, DataLayout> > gpu_input(d_input,74,37,11,137,17);
@@ -644,10 +637,6 @@
   CALL_SUBTEST(test_cuda_erfc<float>(5.0f)); // CUDA erfc lacks precision for large inputs
   CALL_SUBTEST(test_cuda_erfc<float>(0.01f));
   CALL_SUBTEST(test_cuda_erfc<float>(0.001f));
-  CALL_SUBTEST(test_cuda_tanh<double>(1.0));
-  CALL_SUBTEST(test_cuda_tanh<double>(100.0));
-  CALL_SUBTEST(test_cuda_tanh<double>(0.01));
-  CALL_SUBTEST(test_cuda_tanh<double>(0.001));
   CALL_SUBTEST(test_cuda_lgamma<double>(1.0));
   CALL_SUBTEST(test_cuda_lgamma<double>(100.0));
   CALL_SUBTEST(test_cuda_lgamma<double>(0.01));