diff options
Diffstat (limited to 'silx/opencl/test/test_stats.py')
| -rw-r--r-- | silx/opencl/test/test_stats.py | 42 |
1 files changed, 22 insertions, 20 deletions
diff --git a/silx/opencl/test/test_stats.py b/silx/opencl/test/test_stats.py index b5127c8..8baf05e 100644 --- a/silx/opencl/test/test_stats.py +++ b/silx/opencl/test/test_stats.py @@ -28,14 +28,11 @@ """ Simple test of an addition """ - -from __future__ import division, print_function - __authors__ = ["Henri Payno, Jérôme Kieffer"] __contact__ = "jerome.kieffer@esrf.eu" __license__ = "MIT" __copyright__ = "2013 European Synchrotron Radiation Facility, Grenoble, France" -__date__ = "13/12/2018" +__date__ = "19/05/2021" import logging import time @@ -58,11 +55,13 @@ class TestStatistics(unittest.TestCase): def setUpClass(cls): cls.size = 1 << 20 # 1 million elements cls.data = numpy.random.randint(0, 65000, cls.size).astype("uint16") - t0 = time.time() - cls.ref = StatResults(cls.data.min(), cls.data.max(), cls.data.size, - cls.data.sum(), cls.data.mean(), cls.data.std() ** 2, - cls.data.std()) - t1 = time.time() + fdata = cls.data.astype("float64") + t0 = time.perf_counter() + std = fdata.std() + cls.ref = StatResults(fdata.min(), fdata.max(), float(fdata.size), + fdata.sum(), fdata.mean(), std ** 2, + std) + t1 = time.perf_counter() cls.ref_time = t1 - t0 @classmethod @@ -89,19 +88,22 @@ class TestStatistics(unittest.TestCase): s = Statistics(template=self.data, platformid=pid, deviceid=did) except Exception as err: failed_init = True - res = StatResults(0,0,0,0,0,0,0) + res = StatResults(0, 0, 0, 0, 0, 0, 0) + print(err) else: failed_init = False - t0 = time.time() - res = s(self.data) - t1 = time.time() - logger.warning("failed_init %s", failed_init) - if failed_init or not self.validate(res): - logger.error("Failed on platform %s device %s", platform, device) - logger.error("Reference results: %s", self.ref) - logger.error("Faulty results: %s", res) - self.assertTrue(False, "Stat calculation failed on %s %s" % (platform, device)) - logger.info("Runtime on %s/%s : %.3fms x%.1f", platform, device, 1000 * (t1 - t0), self.ref_time / (t1 - t0)) + for comp in ("single", "double", "comp"): + t0 = time.perf_counter() + res = s(self.data, comp=comp) + t1 = time.perf_counter() + logger.info("Runtime on %s/%s : %.3fms x%.1f", platform, device, 1000 * (t1 - t0), self.ref_time / (t1 - t0)) + + if failed_init or not self.validate(res): + logger.error("failed_init %s; Computation modes %s", failed_init, comp) + logger.error("Failed on platform %s device %s", platform, device) + logger.error("Reference results: %s", self.ref) + logger.error("Faulty results: %s", res) + self.assertTrue(False, f"Stat calculation failed on {platform},{device} in mode {comp}") def suite(): |