def suite():
testSuite = unittest.TestSuite()
testSuite.addTest(parameterize(TestKeypoints, "orientation_gpu", (128,), "descriptor_gpu2", (8, 8, 8)))
testSuite.addTest(parameterize(TestKeypoints, "orientation_cpu", (1,), "descriptor_cpu", (1,)))
testSuite.addTest(parameterize(TestKeypoints, "orientation_gpu", (128,), "descriptor_gpu1", (8, 4, 4)))
testSuite.addTest(TestFeature("test_keypoints"))
return testSuite
def suite():
testSuite = unittest.TestSuite()
testSuite.addTest(
parameterize(TestKeypoints, "orientation_gpu", (128, ),
"descriptor_gpu2", (8, 8, 8)))
testSuite.addTest(
parameterize(TestKeypoints, "orientation_cpu", (1, ), "descriptor_cpu",
(1, )))
testSuite.addTest(
parameterize(TestKeypoints, "orientation_gpu", (128, ),
"descriptor_gpu1", (8, 4, 4)))
testSuite.addTest(TestFeature("test_keypoints"))
return testSuite
def test_fft(backend, dimensions=None):
testSuite = unittest.TestSuite()
transform_infos = TransformInfos()
test_data = TestData()
dimensions = dimensions or transform_infos.dimensions
logger.info("Testing backend: %s" % backend)
for trdim in dimensions:
logger.debug(" testing %s" % trdim)
for mode in transform_infos.modes:
logger.debug(" testing %s:%s" % (trdim, mode))
for size in transform_infos.sizes[trdim]:
logger.debug(" size: %s" % str(size))
testcase = parameterize(
TestFFT,
param={
"transform_infos": transform_infos,
"test_data": test_data,
"backend": backend,
"trdim": trdim,
"mode": mode,
"size": size,
}
)
testSuite.addTest(testcase)
return testSuite
def test_fft(backend, dimensions=None):
testSuite = unittest.TestSuite()
transform_infos = TransformInfos()
test_data = TestData()
dimensions = dimensions or transform_infos.dimensions
logger.info("Testing backend: %s" % backend)
for trdim in dimensions:
logger.debug(" testing %s" % trdim)
for mode in transform_infos.modes:
logger.debug(" testing %s:%s" % (trdim, mode))
for size in transform_infos.sizes[trdim]:
logger.debug(" size: %s" % str(size))
testcase = parameterize(
TestFFT,
param={
"transform_infos": transform_infos,
"test_data": test_data,
"backend": backend,
"trdim": trdim,
"mode": mode,
"size": size,
}
)
testSuite.addTest(testcase)
return testSuite
def test_convolution():
boundary_handling_ = ["reflect", "nearest", "wrap", "constant"]
use_textures_ = [True, False]
input_on_device_ = [True, False]
output_on_device_ = [True, False]
testSuite = unittest.TestSuite()
param_vals = list(product(
boundary_handling_,
use_textures_,
input_on_device_,
output_on_device_
))
for boundary_handling, use_textures, input_dev, output_dev in param_vals:
testcase = parameterize(
TestConvolution,
param={
"boundary_handling": boundary_handling,
"input_on_device": input_dev,
"output_on_device": output_dev,
"use_textures": use_textures,
}
)
testSuite.addTest(testcase)
return testSuite
def suite():
test_suite = unittest.TestSuite()
tests = OrderedDict()
with open(resourceFileName('quanty:test/tests/manifest.csv')) as fp:
reader = csv.DictReader(fp, quotechar='"', quoting=csv.QUOTE_ALL,
skipinitialspace=True)
for line in reader:
index = line['index']
line.pop('index', None)
tests[index] = line
for test in tests:
parameters = tests[test]
test_suite.addTest(parameterize(TestQuanty, test, parameters))
return test_suite