GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-08-12 03:39:01 +08:00
Code Issues Packages Projects Releases Wiki Activity

Sharded the cxx11_tensor_contract_cuda test

Browse Source
This commit is contained in:
Benoit Steiner 2016-02-01 13:33:23 -08:00
parent 922b5f527b
commit 0ce5d32be5
1 changed files with 25 additions and 23 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

48
unsupported/test/cxx11_tensor_contract_cuda.cu
View File

@ -22,7 +22,7 @@ using Eigen::Tensor;
typedef Tensor<float, 1>::DimensionPair DimPair; typedef Tensor<float, 1>::DimensionPair DimPair;
template<int DataLayout> template<int DataLayout>
static void test_cuda_contraction(int m_size, int k_size, int n_size) 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 // with these dimensions, the output has 300 * 140 elements, which is
@ -88,37 +88,39 @@ static void test_cuda_contraction(int m_size, int k_size, int n_size)
void test_cxx11_tensor_cuda() void test_cxx11_tensor_cuda()
{ {
std::cout << "Calling contraction tests" << std::endl; std::cout << "Calling contraction tests" << std::endl;
CALL_SUBTEST(test_cuda_contraction<ColMajor>(128, 128, 128)); CALL_SUBTEST_1(test_cuda_contraction<ColMajor>(128, 128, 128));
CALL_SUBTEST(test_cuda_contraction<RowMajor>(128, 128, 128)); CALL_SUBTEST_1(test_cuda_contraction<RowMajor>(128, 128, 128));
for (int k = 32; k < 256; k++) { for (int k = 32; k < 256; k++) {
CALL_SUBTEST(test_cuda_contraction<ColMajor>(128, k, 128)); CALL_SUBTEST_2(test_cuda_contraction<ColMajor>(128, k, 128));
CALL_SUBTEST(test_cuda_contraction<RowMajor>(128, k, 128)); CALL_SUBTEST_3(test_cuda_contraction<RowMajor>(128, k, 128));
} }
for (int k = 32; k < 256; k++) { for (int k = 32; k < 256; k++) {
CALL_SUBTEST(test_cuda_contraction<ColMajor>(128, 128, k)); CALL_SUBTEST_4(test_cuda_contraction<ColMajor>(128, 128, k));
CALL_SUBTEST(test_cuda_contraction<RowMajor>(128, 128, k)); CALL_SUBTEST_5(test_cuda_contraction<RowMajor>(128, 128, k));
} }
for (int k = 32; k < 256; k++) { for (int k = 32; k < 256; k++) {
CALL_SUBTEST(test_cuda_contraction<ColMajor>(k, 128, 128)); CALL_SUBTEST_6(test_cuda_contraction<ColMajor>(k, 128, 128));
CALL_SUBTEST(test_cuda_contraction<RowMajor>(k, 128, 128)); CALL_SUBTEST_7(test_cuda_contraction<RowMajor>(k, 128, 128));
} }
int m_sizes[] = {31, 39, 63, 64, 65, static const int m_sizes[] = {31, 39, 63, 64, 65,
127, 129, 255, 257, 511, 127, 129, 255, 257, 511,
512, 513, 1023, 1024, 1025 }; 512, 513, 1023, 1024, 1025};
int n_sizes[] = {31, 39, 63, 64, 65, static const int n_sizes[] = {31, 39, 63, 64, 65,
127, 129, 255, 257, 511, 127, 129, 255, 257, 511,
512, 513, 1023, 1024, 1025 }; 512, 513, 1023, 1024, 1025};
int k_sizes[] = { 31, 39, 63, 64, 65, static const int k_sizes[] = {31, 39, 63, 64, 65,
95, 96, 127, 129, 255, 95, 96, 127, 129, 255,
257, 511, 512, 513, 1023, 257, 511, 512, 513, 1023,
1024, 1025}; 1024, 1025};
for (int i = 0; i <15; i++) for (int i = 0; i <15; i++) {
for (int j = 0; j < 15; j++) for (int j = 0; j < 15; j++) {
for (int k = 0; k < 17; k++) { for (int k = 0; k < 17; k++) {
CALL_SUBTEST(test_cuda_contraction<ColMajor>(m_sizes[i], n_sizes[j], k_sizes[k])); CALL_SUBTEST_8(test_cuda_contraction<ColMajor>(m_sizes[i], n_sizes[j], k_sizes[k]));
CALL_SUBTEST(test_cuda_contraction<RowMajor>(m_sizes[i], n_sizes[j], k_sizes[k])); CALL_SUBTEST_9(test_cuda_contraction<RowMajor>(m_sizes[i], n_sizes[j], k_sizes[k]));
} }
}
}
} }