 template<int DataLayout>
 static void test_cuda_contraction(int m_size, int k_size, int n_size)
 {
-  std::cout<<"Calling with ("<<m_size<<","<<k_size<<","<<n_size<<")"<<std::endl;
+  std::cout << "Calling with (" << m_size << "," << k_size << "," << n_size << ")" << std::endl;
   // with these dimensions, the output has 300 * 140 elements, which is
   // more than 30 * 1024, which is the number of threads in blocks on
   // a 15 SM GK110 GPU


void test_cxx11_tensor_cuda()
{
  std::cout<<"Calling contraction tests"<<std::endl;
  CALL_SUBTEST(test_cuda_contraction<ColMajor>(128, 128, 128));
  CALL_SUBTEST(test_cuda_contraction<RowMajor>(128, 128, 128));
  for (int k = 32; k < 256; k++) {

  t_result = t_left.contract(t_right, dims);

  cudaMemcpy(t_result_gpu.data(), d_t_result, t_result_bytes, cudaMemcpyDeviceToHost);
  for (size_t i = 0; i < t_result.size(); i++) {
    if (fabs(t_result(i) - t_result_gpu(i)) < 1e-4f) {
      continue;
    }
    if (Eigen::internal::isApprox(t_result(i), t_result_gpu(i), 1e-4f)) {
      continue;
    }
    std::cout << "mismatch detected at index " << i << ": " << t_result(i)
              << " vs " <<  t_result_gpu(i) << std::endl;
    assert(false);
  }

  cudaFree((void*)d_t_left);
