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CI: update to ROCm 6.0.2 and test MI300 (#30266)

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* update to ROCm 6.0.2 and test MI300

* add callers for mi300

* update dockerfile

* fix trainer tests

* remove apex

* style

* Update tests/trainer/test_trainer_seq2seq.py

* Update tests/trainer/test_trainer_seq2seq.py

* Update tests/trainer/test_trainer_seq2seq.py

* Update tests/trainer/test_trainer_seq2seq.py

* update to torch 2.3

* add workflow dispatch target

* we may need branches: mi300-ci after all

* nit

* fix docker build

* nit

* add check runner

* remove docker-gpu

* fix issues

* fix

---------

Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
fxmarty
2024-05-13 18:14:36 +02:00
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parent 539ed75d50
commit 37bba2a32d
14 changed files with 170 additions and 81 deletions
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docs/source/en/perf_infer_gpu_one.md
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@@ -94,7 +94,7 @@ We strongly suggest referring to the detailed [installation instructions](https:
</hfoption>
<hfoption id="AMD">
FlashAttention-2 is also supported on AMD GPUs and current support is limited to **Instinct MI210** and **Instinct MI250**. We strongly suggest using this [Dockerfile](https://github.com/huggingface/optimum-amd/tree/main/docker/transformers-pytorch-amd-gpu-flash/Dockerfile) to use FlashAttention-2 on AMD GPUs.
FlashAttention-2 is also supported on AMD GPUs and current support is limited to **Instinct MI210**, **Instinct MI250** and **Instinct MI300**. We strongly suggest using this [Dockerfile](https://github.com/huggingface/optimum-amd/tree/main/docker/transformers-pytorch-amd-gpu-flash/Dockerfile) to use FlashAttention-2 on AMD GPUs.
</hfoption>
</hfoptions>