Commit Graph

8 Commits (byteir)

Author SHA1 Message Date
Aart Bik 1f73895f93
[torch-mlir] bump to llvm/llvm-project@9b78ddf3b2 (#3491)
This bump triggered an upstream assert. Includes a WAR for #3506.

Also includes several things I needed to do to repro:

* When TORCH_MLIR_TEST_CONCURRENCY=1, test runs will be printed.
* Added TORCH_MLIR_TEST_VERBOSE=1 handling to enable verbose mode
(useful on CI).

---------

Co-authored-by: Stella Laurenzo <stellaraccident@gmail.com>
2024-06-27 19:28:02 -07:00
ptrifunovic98 4555629246
Implement lowering of torch.aten.kthvalue (#3360)
Closes
[nod-ai/SHARK-Turbine#620](https://github.com/nod-ai/SHARK-Turbine/issues/620)
2024-06-15 11:18:39 +05:30
Rob Suderman db6721084a
Integrate LLVM at llvm/llvm-project@593f6fdcb4 (#3260) 2024-04-29 12:01:40 -07:00
penguin_wwy 6679728c56
Fix deprecated uses of cast/dyn_cast/dyn_cast_or_null/isa (#3243)
Like #3130, gradually replace the deprecated code

https://github.com/llvm/mlir-www/blob/main/website/content/deprecation/_index.md#deprecated
2024-04-27 14:00:56 -07:00
Rob Suderman e30a083aff
[torch] Rework lowering to tm_tensor.scatter to stop serialization (#2940)
We collapsed and broadcasted scatter indices to a single element
version. We should instead upport `tm_tensor.scatter`s support for
multiple indices and the implicitly broadcasted behavior. This avoids
the serialization and materializing a needlessly large indices tensor.
2024-02-27 11:46:57 -08:00
Rob Suderman e9cdd6cbc5
[torch] Fix tm_tensor.attention for end-to-end (#2907)
Some operations include a backend matcher for specialized operations. We
map these back to generics so they appropriately match to the high
performance versions. This is done for the attention operation.
2024-02-13 21:18:01 -08:00
Kunwar Grover fb1dfa3126
Bump llvm-project to 6b65d79fbb4682468333cea42b62f15c2dffd8f3 (#2723)
Co-authored-by: hanhanW <hanhan0912@gmail.com>
2024-01-04 14:33:41 -08:00
Stella Laurenzo 6961f0a247
Re-organize project structure to separate PyTorch dependencies from core project. (#2542)
This is a first step towards the structure we discussed here:
https://gist.github.com/stellaraccident/931b068aaf7fa56f34069426740ebf20

There are two primary goals:

1. Separate the core project (C++ dialects and conversions) from the
hard PyTorch dependencies. We move all such things into projects/pt1 as
a starting point since they are presently entangled with PT1-era APIs.
Additional work can be done to disentangle components from that
(specifically LTC is identified as likely ultimately living in a
`projects/ltc`).
2. Create space for native PyTorch2 Dynamo-based infra to be upstreamed
without needing to co-exist with the original TorchScript path.

Very little changes in this path with respect to build layering or
options. These can be updated in a followup without commingling
directory structure changes.

This also takes steps toward a couple of other layering enhancements:

* Removes the llvm-external-projects/torch-mlir-dialects sub-project,
collapsing it into the main tree.
* Audits and fixes up the core C++ build to account for issues found
while moving things. This is just an opportunistic pass through but
roughly ~halves the number of build actions for the project from the
high 4000's to the low 2000's.

It deviates from the discussed plan by having a `projects/` tree instead
of `compat/`. As I was thinking about it, this will better accommodate
the follow-on code movement.

Once things are roughly in place and the CI passing, followups will
focus on more in-situ fixes and cleanups.
2023-11-02 19:45:55 -07:00