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[BE][2/16] fix typos in torch/ (torch/_*/) (#156312)

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Pull Request resolved: https://github.com/pytorch/pytorch/pull/156312
Approved by: https://github.com/albanD
This commit is contained in:
Xuehai Pan
2025-07-11 22:11:04 +08:00
committed by PyTorch MergeBot
parent 8b97e4dd8c
commit 7a92b51196
68 changed files with 121 additions and 122 deletions
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6
torch/_decomp/decompositions.py
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@ -52,7 +52,7 @@ class Reduction(Enum):
# This wraps a decomposition and performs various type promotion logic within it, depending on the strategy provided
# We're currently re-using ELEMENTWISE_TYPE_PROMOTION_KIND, although some of the usages are on non-elementwise ops
# We're currently reusing ELEMENTWISE_TYPE_PROMOTION_KIND, although some of the usages are on non-elementwise ops
# Will need to validate the non-elementwise uses
def type_casts(
f: Callable,
@ -947,7 +947,7 @@ def im2col(
)
torch._check(
all(c > 0 for c in output_size),
lambda: f"Given an input with spacial size {tuple(shape[-2:])}, "
lambda: f"Given an input with spatial size {tuple(shape[-2:])}, "
f"kernel_size={kernel_size}, dilation={dilation}, "
f"padding={padding}, stride={stride}, "
"the calculated shape of the array of sliding blocks "
@ -4046,7 +4046,7 @@ def nll_loss2d_forward(
return _nll_loss_forward(self, target, weight, reduction, ignore_index)
# These are adapted from aten/src/ATen/native/UpSample.h, wich is based on
# These are adapted from aten/src/ATen/native/UpSample.h, which is based on
# https://en.wikipedia.org/wiki/Bicubic_interpolation#Bicubic_convolution_algorithm
def _upsample_cubic_convolution1(x: Tensor, A: float) -> Tensor:
return ((A + 2) * x - (A + 3)) * x * x + 1