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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-27 12:04:42 -0800
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-27 12:04:42 -0800
commit5973bcf939be278f81b20d6250405aaaa0791b9d (patch)
tree2d5d385d0100b0dac87970813377ca43b6940d93 /unsupported
parent9c8f7dfe9455bf48abe6275fb8b9022faac23e60 (diff)
Properly specify the namespace when calling cout/endl
Diffstat (limited to 'unsupported')
-rw-r--r--unsupported/test/cxx11_tensor_contract_cuda.cpp8
1 files changed, 4 insertions, 4 deletions
diff --git a/unsupported/test/cxx11_tensor_contract_cuda.cpp b/unsupported/test/cxx11_tensor_contract_cuda.cpp
index 035a093e6..ac447dd7b 100644
--- a/unsupported/test/cxx11_tensor_contract_cuda.cpp
+++ b/unsupported/test/cxx11_tensor_contract_cuda.cpp
@@ -24,7 +24,7 @@ typedef Tensor<float, 1>::DimensionPair DimPair;
template<int DataLayout>
static void test_cuda_contraction(int m_size, int k_size, int n_size)
{
- 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
@@ -69,8 +69,8 @@ static void test_cuda_contraction(int m_size, int k_size, int n_size)
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) {
- cout << "mismatch detected at index " << i << ": " << t_result.data()[i]
- << " vs " << t_result_gpu.data()[i] << endl;
+ std::cout << "mismatch detected at index " << i << ": " << t_result.data()[i]
+ << " vs " << t_result_gpu.data()[i] << std::endl;
assert(false);
}
}
@@ -83,7 +83,7 @@ static void test_cuda_contraction(int m_size, int k_size, int n_size)
void test_cxx11_tensor_cuda()
{
- cout<<"Calling contraction tests"<<std::endl;
+ 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++) {