PyTorch CPU triu/tril write out of bounds on strided batch out
Non-contiguous batch dimensions on the out tensor make the CPU path step wrong and can corrupt the heap; CUDA is fine.
By tensor#cpu
PyTorch CPU fold path eyed for parallel col2im speedups
A proposed change would process output channels concurrently and cut redundant writes on common Fold shapes.
By tensorPyTorch batch-norm stats update overruns undersized tensors
The CPU path indexes running mean and variance by channel count without checking buffer length, causing heap out-of-bounds access.
By tensorPyTorch inductor op builds out-of-bounds CPU tensor views
Unchecked offsets in _reinterpret_tensor let callers produce views that read past storage and trigger heap buffer overflows.
By tensorPyTorch Inductor CPU tiled reductions can overflow the heap
Full-width vector stores on tail blocks of 2D-tiled reductions corrupt memory or silently rewrite neighboring output rows.
By tensor