[BE]: Update Ruff to 0.0.280 (#105724)

Removes unusued loop values in python dictionary iteration. Automated fix from Ruff master

Pull Request resolved: https://github.com/pytorch/pytorch/pull/105724
Approved by: https://github.com/ezyang, https://github.com/janeyx99
This commit is contained in:
Aaron Gokaslan
2023-07-22 23:03:32 +00:00
committed by PyTorch MergeBot
parent 53a4b262d2
commit 6d43c89f37
88 changed files with 221 additions and 238 deletions

View File

@ -204,7 +204,7 @@ class TestMkldnnFusion(JitTestCase):
x = self.unary(x)
return x
for pointwise_name, pointwise_info in self._unary_list().items():
for pointwise_info in self._unary_list().values():
options = itertools.product([[2, 3, 10], [2, 10]], [True, False])
for input_shape, bias in options:
with torch.no_grad():
@ -233,7 +233,7 @@ class TestMkldnnFusion(JitTestCase):
return x
input_shapes = {2: (112, 112), 3: (55, 55, 55)}
for pointwise_name, pointwise_info in self._unary_list().items():
for pointwise_info in self._unary_list().values():
for dim in [2, 3]:
channels_last = torch.channels_last if dim == 2 else torch.channels_last_3d
options = itertools.product([True, False], [1, 2], [1, 4], [torch.contiguous_format, channels_last])
@ -347,7 +347,7 @@ class TestMkldnnFusion(JitTestCase):
input_shapes = {2: (28, 28)}
kernel_size = 3
for pointwise_name, pointwise_info in self._unary_list().items():
for pointwise_info in self._unary_list().values():
for dim in [2]:
channels_last = torch.channels_last if dim == 2 else torch.channels_last_3d
options = itertools.product([True, False], [1, 2], [1, 4], [torch.contiguous_format, channels_last], [False, True])