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Revert D33780905: Opinfo test for mvlgamma: add epsilon

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Test Plan: revert-hammer

Differential Revision:
D33780905 (72cedba655)

Original commit changeset: c9afd443bc90

Original Phabricator Diff: D33780905 (72cedba655)

fbshipit-source-id: 180b862ed03e18f96cc1c7f956476eb16dd56225
(cherry picked from commit 623643b362)
This commit is contained in:
Nikita Shulga 2022-02-07 17:24:29 -08:00 committed by PyTorch MergeBot
parent 4d4b94b3cb
commit 58f25678bd
1 changed files with 2 additions and 2 deletions
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4
torch/testing/_internal/common_methods_invocations.py
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@ -6292,8 +6292,6 @@ def sample_inputs_mvlgamma(op_info, device, dtype, requires_grad, **kwargs):
if not dtype.is_floating_point:
# Round-up minimum value for integral dtypes
min_val += 1
else:
min_val += 2 * torch.finfo(dtype).eps
yield SampleInput(make_arg(shape, low=min_val), args=(n,))
@ -6304,6 +6302,8 @@ def skips_mvlgamma(skip_redundant=False):
skips = (
# outside domain values are hard error for mvlgamma op.
DecorateInfo(unittest.skip("Skipped!"), 'TestUnaryUfuncs', 'test_float_domains'),
# TODO: float16 fails due to tensor not satisfying > (p-1)/2
DecorateInfo(unittest.skip("Skipped!"), 'TestNNCOpInfo'),
)
if skip_redundant:
# Redundant tests