torch-mlir

Commit Graph

Author	SHA1	Message	Date
Ashay Rane	bb52a460cb	mlir: bump llvm tag to 5380e3 (#856 ) In addition to updating the llvm-project submodule, this patch also: 1. updates shape functions and tests so that `func` and `call` operations refer to the `func` dialect 2. avoid duplicate registration of dialects	2022-05-16 12:54:35 -07:00
Sean Silva	84a9693006	Elide `!torch.` prefix in nested dialect types. This leads to much more succinct types in many cases: ``` !torch.list<!torch.int> !torch.list<int> !torch.tuple<!torch.list<!torch.int>, !torch.list<!torch.int>> !torch.tuple<list<int>, list<int>> !torch.optional<!torch.list<!torch.int>> !torch.optional<list<int>> !torch.list<list<list<tensor>>> !torch.list<!torch.list<!torch.list<!torch.tensor>>> ``` I would like to take this further and allow omitting the `!torch.` prefix in all cases, but that's harder -- for example, we currently use `FuncOp` for functions, and so I don't think we can customize the printing there. It seems like it will be a longer road to getting that level of customization.	2022-03-15 17:24:08 -07:00
Sean Silva	4fad753073	Move external/torch-mlir to the root of the repo.	2021-09-27 17:11:08 -07:00

Author

SHA1

Message

Date

Ashay Rane

bb52a460cb

mlir: bump llvm tag to 5380e3 (#856 )

In addition to updating the llvm-project submodule, this patch also:

1. updates shape functions and tests so that `func` and `call`
   operations refer to the `func` dialect
2. avoid duplicate registration of dialects

2022-05-16 12:54:35 -07:00

Sean Silva

84a9693006

Elide `!torch.` prefix in nested dialect types.

This leads to much more succinct types in many cases:

```
!torch.list<!torch.int>
!torch.list<int>

!torch.tuple<!torch.list<!torch.int>, !torch.list<!torch.int>>
!torch.tuple<list<int>, list<int>>

!torch.optional<!torch.list<!torch.int>>
!torch.optional<list<int>>

!torch.list<list<list<tensor>>>
!torch.list<!torch.list<!torch.list<!torch.tensor>>>
```

I would like to take this further and allow omitting the `!torch.`
prefix in all cases, but that's harder -- for example, we currently use
`FuncOp` for functions, and so I don't think we can customize the
printing there. It seems like it will be a longer road to getting that
level of customization.

2022-03-15 17:24:08 -07:00

Sean Silva

4fad753073

Move external/torch-mlir to the root of the repo.

2021-09-27 17:11:08 -07:00

3 Commits (158be370d1c4a7ec78dbdb208270c3acc130d9e0)