Disable random-dependent tests

Summary:
These two tests fail (with non-small differences) when the seed is changed or if certain environmental changes are made. We disable them pending investigation.

A small change to the tolerance at the failing assertion doesn't help. The change in common_testing helps diagnose this.

Reviewed By: shapovalov

Differential Revision: D26233419

fbshipit-source-id: 357afc1786825256c9bade101fb15707e4dea5ed
This commit is contained in:
Jeremy Reizenstein 2021-02-03 18:22:23 -08:00 committed by Facebook GitHub Bot
parent 3c0b31a2b8
commit cd9786e787
3 changed files with 3 additions and 4 deletions

View File

@ -99,13 +99,10 @@ class TestCaseMixin(unittest.TestCase):
# all(|norm_fn(input - other)| <= atol + rtol * |norm_fn(other)|) ==
# all(norm_fn(input - other) <= atol + rtol * norm_fn(other)).
backend = torch if torch.is_tensor(input) else np
close = backend.allclose(
self.assertClose(
diff + other_, other_, rtol=rtol, atol=atol, equal_nan=equal_nan
)
self.assertTrue(close, msg)
def assertClose(
self,
input: TensorOrArray,

View File

@ -27,6 +27,7 @@ class TestCamerasAlignment(TestCaseMixin, unittest.TestCase):
"""
Checks the corresponding_cameras_alignment function.
"""
self.skipTest("Temporarily disabled pending investigation")
device = torch.device("cuda:0")
# try few different random setups

View File

@ -498,6 +498,7 @@ class TestCorrespondingPointsAlignment(TestCaseMixin, unittest.TestCase):
- use_pointclouds ... If True, passes the Pointclouds objects
to corresponding_points_alignment.
"""
self.skipTest("Temporarily disabled pending investigation")
# run this for several different point cloud sizes
for n_points in (100, 3, 2, 1):
# run this for several different dimensionalities