HuggingFace_transformer

Files

Dmitry Rogozhkin b4b9da6d9b tests: revert change of torch_require_multi_gpu to be device agnostic (#35721 )

* tests: revert change of torch_require_multi_gpu to be device agnostic

The 11c27dd33 modified `torch_require_multi_gpu()` to be device agnostic
instead of being CUDA specific. This broke some tests which are rightfully
CUDA specific, such as:

* `tests/trainer/test_trainer_distributed.py::TestTrainerDistributed`

In the current Transformers tests architecture `require_torch_multi_accelerator()`
should be used to mark multi-GPU tests agnostic to device.

This change addresses the issue introduced by 11c27dd33 and reverts
modification of `torch_require_multi_gpu()`.

Fixes: 11c27dd33 ("Enable BNB multi-backend support (#31098)")
Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>

* fix bug: modification of frozen set

---------

Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>
Co-authored-by: Titus von Koeller <9048635+Titus-von-Koeller@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

2025-02-25 13:36:10 +01:00

aqlm_integration

Skipping aqlm non working inference tests till fix merged (#34865 )

2024-11-26 11:09:30 +01:00

autoawq

Enables CPU AWQ model with IPEX version. (#33460 )

2024-10-04 16:25:10 +02:00

bitnet_integration

Fix : BitNet tests (#34895 )

2024-11-25 16:47:14 +01:00

bnb

tests: revert change of torch_require_multi_gpu to be device agnostic (#35721 )