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Enabled Flash Attention for PaliGemma models #34009

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Enabled Flash Attention for PaliGemma models #34009

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65b5f57
Enabled Flash Attention for PaliGemma models
aroun-coumar Oct 7, 2024
21fcec3
[run_slow] paligemma
aroun-coumar Oct 8, 2024
8393deb
Paligemma doc update
aroun-coumar Oct 9, 2024
1e77c8f
[run_slow] paligemma
aroun-coumar Oct 9, 2024
38cb392
[run_slow] paligemma
aroun-coumar Oct 9, 2024
224c077
[run_slow] paligemma
aroun-coumar Oct 9, 2024
69e4d50
Paligemma doc update 3
aroun-coumar Oct 9, 2024
39ebb03
[run_slow] paligemma
aroun-coumar Oct 9, 2024
afcd45f
Fixed implementation of Flash Attention in Paligemma model
aroun-coumar Oct 31, 2024
289cfa7
Fixed implementation of Flash Attention in Paligemma model
aroun-coumar Oct 31, 2024
dc1a077
Merge branch 'main' into enable-flash-attention-paligemma
aroun-coumar Oct 31, 2024
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2 changes: 1 addition & 1 deletion docs/source/en/perf_infer_gpu_one.md
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Expand Up @@ -79,7 +79,7 @@ FlashAttention-2 is currently supported for the following architectures:
* [OLMo](https://huggingface.co/docs/transformers/model_doc/olmo#transformers.OlmoModel)
* [OLMoE](https://huggingface.co/docs/transformers/model_doc/olmoe#transformers.OlmoeModel)
* [OPT](https://huggingface.co/docs/transformers/model_doc/opt#transformers.OPTModel)
* [PaliGemma](https://huggingface.co/docs/transformers/model_doc/paligemma#transformers.PaliGemmaForConditionalGeneration)
* [PaliGemma](https://huggingface.co/docs/transformers/model_doc/paligemma#transformers.PaliGemmaModel)
* [Phi](https://huggingface.co/docs/transformers/model_doc/phi#transformers.PhiModel)
* [Phi3](https://huggingface.co/docs/transformers/model_doc/phi3#transformers.Phi3Model)
* [PhiMoE](https://huggingface.co/docs/transformers/model_doc/phimoe#transformers.PhimoeModel)
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2 changes: 1 addition & 1 deletion src/transformers/models/paligemma/modeling_paligemma.py
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Expand Up @@ -299,7 +299,7 @@ def _init_weights(self, module):
class PaliGemmaForConditionalGeneration(PaliGemmaPreTrainedModel, GenerationMixin):
def __init__(self, config: PaliGemmaConfig):
super().__init__(config)
self.vision_tower = AutoModel.from_config(config=config.vision_config)
self.vision_tower = AutoModel.from_config(config=config.vision_config, attn_implementation=config._attn_implementation)
self.multi_modal_projector = PaliGemmaMultiModalProjector(config)
self.vocab_size = config.text_config.vocab_size

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