 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

  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.dimensions().TotalSize(); i++) {
    if (fabs(t_result.data()[i] - t_result_gpu.data()[i]) >= 1e-4) {
      std::cout << "mismatch detected at index " << i << ": " << t_result.data()[i]
           << " vs " <<  t_result_gpu.data()[i] << std::endl;
      assert(false);
    }
  }

  cudaFree((void*)d_t_left);


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++) {
