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Change Phi3 _supports_sdpa to True (#32457)

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* Change `_supports_sdpa` to True

* add phi3 to sdpa support list
This commit is contained in:
Wonseok Lee (Jack)
2024-08-08 20:28:20 +09:00
committed by GitHub
parent 1c944ac1e1
commit e28784f821
2 changed files with 2 additions and 1 deletions
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1
docs/source/en/perf_infer_gpu_one.md
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@@ -219,6 +219,7 @@ For now, Transformers supports SDPA inference and training for the following arc
* [OLMo](https://huggingface.co/docs/transformers/model_doc/olmo#transformers.OlmoModel)
* [PaliGemma](https://huggingface.co/docs/transformers/model_doc/paligemma#transformers.PaliGemmaForConditionalGeneration)
* [Phi](https://huggingface.co/docs/transformers/model_doc/phi#transformers.PhiModel)
* [Phi3](https://huggingface.co/docs/transformers/model_doc/phi3#transformers.Phi3Model)
* [Idefics](https://huggingface.co/docs/transformers/model_doc/idefics#transformers.IdeficsModel)
* [Whisper](https://huggingface.co/docs/transformers/model_doc/whisper#transformers.WhisperModel)
* [Mistral](https://huggingface.co/docs/transformers/model_doc/mistral#transformers.MistralModel)

2
src/transformers/models/phi3/modeling_phi3.py
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@@ -841,7 +841,7 @@ class Phi3PreTrainedModel(PreTrainedModel):
_no_split_modules = ["Phi3DecoderLayer"]
_skip_keys_device_placement = "past_key_values"
_supports_flash_attn_2 = True
_supports_sdpa = False
_supports_sdpa = True
_supports_cache_class = True
_version = "0.0.5"