anshul-si

Results 9 comments of anshul-si

[dtensor][partial] preventing redistribution when linearity is 0

@pytorchbot merge

[dtensor][partial] fixes unnecessary redistributions when subtracting two partial tensors

> lgtm. you can probably rebase/reorder this one together with the first one and land them while we work on the other 2 I think its better to wait for...

[dtensor][partial] fixes unnecessary redistributions when subtracting two partial tensors

@pytorchbot merge

[dtensor][partial] fixes unnecessary redistributions when subtracting two partial tensors

@pytorchbot revert -m "regression in sixlib" -c nosignal

[dtensor][partial] fixed adding scalar to any Partial

@pytorchbot merge

[dtensor][partial] fixed adding scalar to any Partial

@pytorchbot revert

[dtensor][partial] fixed adding scalar to any Partial

@pytorchbot revert -m "regression in sixlib"

[dtensor][partial] fixed adding scalar to any Partial

@pytorchbot revert -m "regression in sixlib" -c nosignal

[dtensor][partial] redistributes _NormPartial to replicate for necessary pointwise_ops

@pytorchbot merge