Commit 45b92aeb authored by Alexander Alekhin's avatar Alexander Alekhin

Merge pull request #11523 from alalek:bigdata_tests

parents ba6b9fd2 703f79b7
...@@ -522,33 +522,23 @@ protected: ...@@ -522,33 +522,23 @@ protected:
TEST(Core_InputOutput, misc) { CV_MiscIOTest test; test.safe_run(); } TEST(Core_InputOutput, misc) { CV_MiscIOTest test; test.safe_run(); }
/*class CV_BigMatrixIOTest : public cvtest::BaseTest #if 0 // 4+ GB of data, 40+ GB of estimated result size, it is very slow
BIGDATA_TEST(Core_InputOutput, huge)
{ {
public: RNG& rng = theRNG();
CV_BigMatrixIOTest() {} int N = 1000, M = 1200000;
~CV_BigMatrixIOTest() {} std::cout << "Allocating..." << std::endl;
protected: Mat mat(M, N, CV_32F);
void run(int) std::cout << "Initializing..." << std::endl;
rng.fill(mat, RNG::UNIFORM, 0, 1);
std::cout << "Writing..." << std::endl;
{ {
try FileStorage fs(cv::tempfile(".xml"), FileStorage::WRITE);
{ fs << "mat" << mat;
RNG& rng = theRNG(); fs.release();
int N = 1000, M = 1200000;
Mat mat(M, N, CV_32F);
rng.fill(mat, RNG::UNIFORM, 0, 1);
FileStorage fs(cv::tempfile(".xml"), FileStorage::WRITE);
fs << "mat" << mat;
fs.release();
}
catch(...)
{
ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
}
} }
}; }
#endif
TEST(Core_InputOutput, huge) { CV_BigMatrixIOTest test; test.safe_run(); }
*/
TEST(Core_globbing, accuracy) TEST(Core_globbing, accuracy)
{ {
......
...@@ -1776,4 +1776,26 @@ TEST(Mat_, template_based_ptr) ...@@ -1776,4 +1776,26 @@ TEST(Mat_, template_based_ptr)
#endif #endif
BIGDATA_TEST(Mat, push_back_regression_4158) // memory usage: ~10.6 Gb
{
Mat result;
Mat tail(100, 500000, CV_32FC2, Scalar(1, 2));
tail.copyTo(result);
for (int i = 1; i < 15; i++)
{
result.push_back(tail);
std::cout << "i = " << i << " result = " << result.size() << " used = " << (uint64)result.total()*result.elemSize()*(1.0 / (1 << 20)) << " Mb"
<< " allocated=" << (uint64)(result.datalimit - result.datastart)*(1.0 / (1 << 20)) << " Mb" << std::endl;
}
for (int i = 0; i < 15; i++)
{
Rect roi(0, tail.rows * i, tail.cols, tail.rows);
int nz = countNonZero(result(roi).reshape(1) == 2);
EXPECT_EQ(tail.total(), (size_t)nz) << "i=" << i;
}
}
}} // namespace }} // namespace
...@@ -420,34 +420,18 @@ void CV_ThreshTest::prepare_to_validation( int /*test_case_idx*/ ) ...@@ -420,34 +420,18 @@ void CV_ThreshTest::prepare_to_validation( int /*test_case_idx*/ )
TEST(Imgproc_Threshold, accuracy) { CV_ThreshTest test; test.safe_run(); } TEST(Imgproc_Threshold, accuracy) { CV_ThreshTest test; test.safe_run(); }
#if defined(_M_X64) || defined(__x86_64__) BIGDATA_TEST(Imgproc_Threshold, huge)
TEST(Imgproc_Threshold, huge) /* since the test needs a lot of memory, enable it only on 64-bit Intel/AMD platforms, otherwise it may take a lot of time because of heavy swapping */
#else
TEST(DISABLED_Imgproc_Threshold, huge)
#endif
{ {
Mat m; Mat m(65000, 40000, CV_8U);
try ASSERT_FALSE(m.isContinuous());
{
m.create(65000, 40000, CV_8U);
}
catch(...)
{
}
if( !m.empty() ) uint64 i, n = (uint64)m.rows*m.cols;
{ for( i = 0; i < n; i++ )
ASSERT_FALSE(m.isContinuous()); m.data[i] = (uchar)(i & 255);
uint64 i, n = (uint64)m.rows*m.cols;
for( i = 0; i < n; i++ )
m.data[i] = (uchar)(i & 255);
cv::threshold(m, m, 127, 255, cv::THRESH_BINARY); cv::threshold(m, m, 127, 255, cv::THRESH_BINARY);
int nz = cv::countNonZero(m); int nz = cv::countNonZero(m); // FIXIT 'int' is not enough here (overflow is possible with other inputs)
ASSERT_EQ(nz, (int)(n/2)); ASSERT_EQ((uint64)nz, n / 2);
}
// just skip the test if there is no enough memory
} }
}} // namespace }} // namespace
...@@ -11,6 +11,7 @@ ...@@ -11,6 +11,7 @@
namespace cvtest { namespace cvtest {
void checkIppStatus(); void checkIppStatus();
extern bool skipUnstableTests; extern bool skipUnstableTests;
extern bool runBigDataTests;
extern int testThreads; extern int testThreads;
} }
...@@ -43,7 +44,7 @@ extern int testThreads; ...@@ -43,7 +44,7 @@ extern int testThreads;
#undef TEST #undef TEST
#define TEST(test_case_name, test_name) \ #define TEST_(test_case_name, test_name, BODY_IMPL) \
class GTEST_TEST_CLASS_NAME_(test_case_name, test_name) : public ::testing::Test {\ class GTEST_TEST_CLASS_NAME_(test_case_name, test_name) : public ::testing::Test {\
public:\ public:\
GTEST_TEST_CLASS_NAME_(test_case_name, test_name)() {}\ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)() {}\
...@@ -65,9 +66,37 @@ extern int testThreads; ...@@ -65,9 +66,37 @@ extern int testThreads;
::testing::Test::TearDownTestCase, \ ::testing::Test::TearDownTestCase, \
new ::testing::internal::TestFactoryImpl<\ new ::testing::internal::TestFactoryImpl<\
GTEST_TEST_CLASS_NAME_(test_case_name, test_name)>);\ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)>);\
void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::TestBody() CV__TEST_BODY_IMPL( #test_case_name "_" #test_name ) \ void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::TestBody() BODY_IMPL( #test_case_name "_" #test_name ) \
void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::Body() void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::Body()
#define TEST(test_case_name, test_name) TEST_(test_case_name, test_name, CV__TEST_BODY_IMPL)
#define CV__TEST_BIGDATA_BODY_IMPL(name) \
{ \
if (!cvtest::runBigDataTests) \
{ \
printf("[ SKIP ] BigData tests are disabled\n"); \
return; \
} \
CV__TRACE_APP_FUNCTION_NAME(name); \
try { \
CV__TEST_INIT \
Body(); \
CV__TEST_CLEANUP \
} \
catch (cvtest::SkipTestException& e) \
{ \
printf("[ SKIP ] %s\n", e.what()); \
} \
} \
// Special type of tests which require / use or validate processing of huge amount of data (>= 2Gb)
#if defined(_M_X64) || defined(__x86_64__) || defined(__aarch64__)
#define BIGDATA_TEST(test_case_name, test_name) TEST_(BigData_ ## test_case_name, test_name, CV__TEST_BIGDATA_BODY_IMPL)
#else
#define BIGDATA_TEST(test_case_name, test_name) TEST_(BigData_ ## test_case_name, DISABLED_ ## test_name, CV__TEST_BIGDATA_BODY_IMPL)
#endif
#undef TEST_F #undef TEST_F
#define TEST_F(test_fixture, test_name)\ #define TEST_F(test_fixture, test_name)\
class GTEST_TEST_CLASS_NAME_(test_fixture, test_name) : public test_fixture {\ class GTEST_TEST_CLASS_NAME_(test_fixture, test_name) : public test_fixture {\
......
...@@ -699,6 +699,7 @@ void checkIppStatus() ...@@ -699,6 +699,7 @@ void checkIppStatus()
} }
bool skipUnstableTests = false; bool skipUnstableTests = false;
bool runBigDataTests = false;
int testThreads = 0; int testThreads = 0;
void parseCustomOptions(int argc, char **argv) void parseCustomOptions(int argc, char **argv)
...@@ -708,6 +709,7 @@ void parseCustomOptions(int argc, char **argv) ...@@ -708,6 +709,7 @@ void parseCustomOptions(int argc, char **argv)
"{ test_seed |809564 |seed for random numbers generator }" "{ test_seed |809564 |seed for random numbers generator }"
"{ test_threads |-1 |the number of worker threads, if parallel execution is enabled}" "{ test_threads |-1 |the number of worker threads, if parallel execution is enabled}"
"{ skip_unstable |false |skip unstable tests }" "{ skip_unstable |false |skip unstable tests }"
"{ test_bigdata |false |run BigData tests (>=2Gb) }"
"{ h help |false |print help info }"; "{ h help |false |print help info }";
cv::CommandLineParser parser(argc, argv, command_line_keys); cv::CommandLineParser parser(argc, argv, command_line_keys);
...@@ -730,6 +732,7 @@ void parseCustomOptions(int argc, char **argv) ...@@ -730,6 +732,7 @@ void parseCustomOptions(int argc, char **argv)
testThreads = parser.get<int>("test_threads"); testThreads = parser.get<int>("test_threads");
skipUnstableTests = parser.get<bool>("skip_unstable"); skipUnstableTests = parser.get<bool>("skip_unstable");
runBigDataTests = parser.get<bool>("test_bigdata");
} }
......
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