torch-mlir/projects/pt1/e2e_testing
Yuanqiang Liu facbe5d96b
[Torch Dialect] support AtenArangeStartOutOp in ReduceOpVariants like… (#2563)
… AtenBernoulli_FloatOp

It fixing case like: `%2110 = torch.aten.arange.start_out %int1,
%int1517, %int1, %2109 : !torch.int, !torch.int, !torch.int,
!torch.tensor -> !torch.tensor`.
`aten.arange.start_out` doesn't have value semantics also, means`%2110`
is an alias for %2109.
So I decompose it to `aten.arange.start` + `torch.contents.overwrite`.  
The complex decomposition logic is target to handle cases like view and
dtype cast which I add in e2e tests.
2023-11-17 00:51:55 +08:00
..
main.py Re-organize project structure to separate PyTorch dependencies from core project. (#2542) 2023-11-02 19:45:55 -07:00
xfail_sets.py [Torch Dialect] support AtenArangeStartOutOp in ReduceOpVariants like… (#2563) 2023-11-17 00:51:55 +08:00