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Bump to v2.3.6
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flash_attn/__init__.py

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__version__ = "2.3.5"
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__version__ = "2.3.6"
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from flash_attn.flash_attn_interface import (
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flash_attn_func,

training/Dockerfile

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@@ -85,11 +85,11 @@ RUN pip install transformers==4.25.1 datasets==2.8.0 pytorch-lightning==1.8.6 tr
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RUN pip install git+https://github.com/mlcommons/logging.git@2.1.0
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# Install FlashAttention
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RUN pip install flash-attn==2.3.5
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RUN pip install flash-attn==2.3.6
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# Install CUDA extensions for fused dense, layer norm
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RUN git clone https://github.com/HazyResearch/flash-attention \
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&& cd flash-attention && git checkout v2.3.4 \
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&& cd flash-attention && git checkout v2.3.6 \
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&& cd csrc/layer_norm && pip install . && cd ../../ \
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&& cd csrc/fused_dense_lib && pip install . && cd ../../ \
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&& cd .. && rm -rf flash-attention

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