Commit Graph

9 Commits (617c1c76ce4d0410e2318dbd25d69c68db45388c)

Author SHA1 Message Date
rohan-tan-bhowmik e86f56bc76
[Torch] [TMTensor] Added mask and is_causal support for torch.aten.scaled_dot_product_attention (#3690)
Enabled mask and is_causal parameters for torch.aten.scaled_dot_product
attention + relevant comments + tests.

The tests added highlight the new capabilities introduced in this PR,
including:

Attention with F16 mask
Attention with Boolean mask
Causal attention with same Q K V shapes
Causal attention without Q K V shapes

Made sure that one cannot input both mask and is_causal.
2024-09-09 15:51:41 -07:00
rohan-tan-bhowmik 1c16de147a
Minor change in TMTensorOps.td (#3602)
Fixed a little programming choice style that bothered me.
2024-08-14 16:33:49 +05:30
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 afca88a058
[NFC] Change to *cast instead of .*cast variants (#3405)
Member casts have been deprecated. Changing over a bunch of the member
cast calls to the global templated variants to remove deprecation
warnings.
2024-05-30 23:45:13 -07:00
Rob Suderman db6721084a
Integrate LLVM at llvm/llvm-project@593f6fdcb4 (#3260) 2024-04-29 12:01:40 -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
Quinn Dawkins 494089d53d
Clang format refresh (#2812)
After noticing a number of commits with unrelated formatting changes,
I think something was changed with clang-format at one point and we're
seeing a number of unrelated changes. Doing a refresh can help avoid
this.

The changes made here came from
```
find lib -iname *.h -o -iname *.cpp  | xargs clang-format -i --style=llvm
find include -iname *.h -o -iname *.cpp  | xargs clang-format -i --style=llvm
find projects -iname *.h -o -iname *.cpp  | xargs clang-format -i --style=llvm
```
2024-01-29 12:59:33 -05:00
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