Commit Graph

12 Commits (main)

Author SHA1 Message Date
Hacker1337 cb6a499460
Update architecture.md. Fixed brocken link (#3565) 2024-08-14 16:38:51 +05:30
saienduri bfcf93ea21
Rename torch_mlir.compile APIs and introduce FX based analogs (#2842)
Link to related RFC:
https://discourse.llvm.org/t/rfc-rename-torch-mlir-compile-apis-and-introduce-fx-based-analogs/76646
This commit updates the documentation, tests, CMake files, and API for
the proposed changes in the RFC. There is a new torch_mlir/fx.py for
user level APIs related to importing modules and a corresponding test
for this path can be found at test/python/fx_importer/basic_test.py.

---------

Co-authored-by: MaheshRavishankar <mravisha@amd.com>
2024-02-06 19:07:59 -08:00
Aart Bik d1cd117998
[torch-mlir] remove trailing whitespace from md documentation (#2853) 2024-02-02 11:02:53 -08:00
Stella Laurenzo 5eae0adff1
Breakup python pytorch deps (#2582)
This lifts the core of the jit_ir_importer and ltc out of the pt1
project, making them peers to it. As a side-effect of this layering, now
the "MLIR bits" (dialects, etc) are not commingled with the various
parts of the pt1 project, allowing pt1 and ltc to overlay cleanly onto a
more fundamental "just MLIR" Python core. Prior to this, the Python
namespace was polluted to the point that this could not happen.

That "just MLIR" Python core will be introduced in a followup, which
will create the space to upstream the FX and ONNX pure Python importers.

This primary non-NFC change to the API is:

* `torch_mlir.dialects.torch.importer.jit_ir` ->
`torch_mlir.jit_ir_importer`.

The rest is source code layering so that we can make the pt1 project
optional without losing the other features.

Progress on #2546.
2023-11-19 12:10:19 -08:00
Ramiro Leal-Cavazos de02b56e17
Replace RefineTypes with dtype functions (#2105)
This commit adds dtype functions for all the torch ops that did not
previously have one and removes the pass `RefineTypes`, since the
abstract interpretation library now takes care of all the dtype
propagation.

All dtype functions added are tested except for
- `aten.embedding`
- `aten._embedding_bag`
- `aten.embedding_bag`

These functions need a change to the testing framework to allow
specifying the actual data inside the tensor used for testing. I will
fix this in a follow up patch.

Co-authored-by: Jiahao Li <liplus17@163.com>
2023-05-12 13:40:45 -07:00
Ashay Rane 711646d095
mhlo: migrate conversion to stablehlo (#1840)
This patch replaces all MHLO operations with their StableHLO
counterparts and adds a validation pass to ensure that no MHLO operations
remain before translating all Stablehlo operations to the MHLO dialect
for further lowering to the Linalg dialect.

This patch also updates all lit tests so that they refer to the
`convert-torch-to-stablehlo` pass and so that they check for StableHLO
operations.
2023-02-02 07:29:47 -06:00
Sean Silva 9fb63ce9d9 Add link to e2e testing docs 2022-11-25 04:53:57 -08:00
Kazuaki Ishizaki 638a884e8c fix typos 2022-11-17 11:03:27 -08:00
Sean Silva de4bcbfe9b [docs] Centralize all images in docs/images/ 2022-11-04 03:12:17 -07:00
Jacques Pienaar 51c868f4c0 Avoid linking to specific time
Recording was linking to specific time towards end of recording, changed to remove specific time.
2022-09-02 10:32:08 -07:00
Prashant Kumar f245613b71 Add reference to slides and presentation. 2022-08-27 09:01:57 +05:30
Sean Silva 1a7fc3915c [docs] Add architecture doc.
This attempts to get out of my head most of the critical layering and
project structure decisions for Torch-MLIR.
2022-08-18 13:29:49 -07:00