Commit Graph

62 Commits (1eccac1264ede665d881ddc44e71d0efb1d84da7)

Author SHA1 Message Date
Roll PyTorch Action a9177102c6 update PyTorch version to 1.14.0.dev20221015 2022-10-15 16:47:22 +00:00
Roll PyTorch Action 7df9179f85 update PyTorch version to 1.14.0.dev20221014 2022-10-14 14:04:52 +00:00
Roll PyTorch Action a0dd0ddcbf update PyTorch version to 1.14.0.dev20221013 2022-10-13 14:13:56 +00:00
Roll PyTorch Action b487113ef1 update PyTorch version to 1.14.0.dev20221012 2022-10-12 14:37:13 +00:00
Jae Hoon (Antonio) Kim 3e08f5a779
Fix `fromIntArrayRef` call (#1479)
* Fix fromSymint call

* Update PyTorch requirement

* Re-enable LTC
2022-10-11 13:29:07 -04:00
Ashay Rane aefbf65e27
Disable LTC and update PyTorch (#1472)
* build: disable LTC again so that we can bump PyTorch version

When built using PyTorch's master branch, the LTC code has been failing
to build for a few days.  As a result, the PyTorch version referenced by
Torch-MLIR is stalled to the one from October 4th.

In an effort to advance to PyTorch version, this patch disables LTC, and
a subsequent patch will advance the PyTorch version.

* update PyTorch version to 1.14.0.dev20221010

Also disables the `UpSampleNearest2dDynamicFactor_basic` e2e test, since
the (PyTorch) oracle differs from the computed value for both the
refbackend and the eager_mode backends.
2022-10-10 23:05:40 -05:00
Jae Hoon (Antonio) Kim c57d801260
Fix functionalize_aten_op calls for symint ops (#1459)
* Fix functionalize_aten_op calls for symint ops

* Update PyTorch version
2022-10-05 10:23:48 -04:00
Roll PyTorch Action 7da1af85c2 update PyTorch version to 1.13.0.dev20221003 2022-10-03 16:35:07 +00:00
Roll PyTorch Action f32869b854 update PyTorch version to 1.13.0.dev20221002 2022-10-02 17:09:55 +00:00
Roll PyTorch Action aa31be720a update PyTorch version to 1.13.0.dev20220930 2022-09-30 13:27:54 +00:00
Roll PyTorch Action 15e1c45ed6 update PyTorch version to 1.13.0.dev20220929 2022-09-29 20:34:45 +00:00
Ashay Rane 53e76b8ab6
build: create RollPyTorch to update PyTorch version in Torch-MLIR (#1419)
This patch fetches the most recent nightly (binary) build of PyTorch,
before pinning it in pytorch-requirements.txt, which is referenced in
the top-level requirements.txt file.  This way, end users will continue
to be able to run `pip -r requirements.txt` without worrying whether
doing so will break their Torch-MLIR build.

This patch also fetches the git commit hash that corresponds to the
nightly release, and this hash is passed to the out-of-tree build so
that it can build PyTorch from source.

If we were to sort the torch versions as numbers (in the usual
descending order), then 1.9 appears before 1.13.  To fix this problem,
we use the `--version-sort` flag (along with `--reverse` for specifying
a descending order).  We also filter out lines that don't contain
version numbers by only considering lines that start with a digit.

As a matter of slight clarity, this patch renames the variable
`torch_from_src` to `torch_from_bin`, since that variable is initialized
to `TM_USE_PYTORCH_BINARY`.

Co-authored-by: powderluv <powderluv@users.noreply.github.com>
2022-09-28 15:38:30 -05:00