George Wigley 0742b2366e Update torch.masked.mean to upcast dtype for bool tensors (#139999) ... When calling `torch.masked.mean(...)` with a boolean tensor, the dtype is inferred to be bool. When the mean is being computed, the sum operator is used. When the sum operator is used with dtype=torch.bool, the result is clamped to True (1) leading to an incorrect mean being calculated. The below example shows how the incorrect result occurs: ``` a = torch.tensor([True, True]) count = torch.sum(torch.ones(a.shape, dtype=torch.int64)) # 2 total = torch.sum(a, dtype=torch.bool) # True (1) mean = total / count # 0.5 ``` This PR upcasts the dtype used for the sumation to int32 in the case of bool tensors allowing for the correct result to be computed. Pull Request resolved: https://github.com/pytorch/pytorch/pull/139999 Approved by: https://github.com/cpuhrsch		2025-01-07 00:26:59 +00:00
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__init__.py	[BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771)	2024-08-01 17:07:14 +00:00
_masked.py	Update torch.masked.mean to upcast dtype for bool tensors (#139999)	2025-01-07 00:26:59 +00:00
fft.py	[BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771)	2024-08-01 17:07:14 +00:00
linalg.py	[BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771)	2024-08-01 17:07:14 +00:00
nested.py	Enable ruff's unused variable checking everywhere in pytorch (#136965)	2024-12-22 02:33:11 +00:00
signal.py	[BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771)	2024-08-01 17:07:14 +00:00
sparse.py	Remove unused Python variables in torch/[b-z]* (#136963)	2024-10-19 16:45:22 +00:00
special.py	[ATen][Native][Special] Hermite polynomial prematurely return NaN if n is high (#141955)	2024-12-18 08:30:08 +00:00