Re-enable compilation for Hopper
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187c2a0635
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@ -1,4 +1,4 @@
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__version__ = "2.2.4"
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__version__ = "2.2.4.post1"
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from flash_attn.flash_attn_interface import (
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flash_attn_func,
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8
setup.py
8
setup.py
@ -122,10 +122,10 @@ if not SKIP_CUDA_BUILD:
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# cc_flag.append("arch=compute_75,code=sm_75")
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cc_flag.append("-gencode")
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cc_flag.append("arch=compute_80,code=sm_80")
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# if CUDA_HOME is not None:
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# if bare_metal_version >= Version("11.8"):
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# cc_flag.append("-gencode")
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# cc_flag.append("arch=compute_90,code=sm_90")
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if CUDA_HOME is not None:
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if bare_metal_version >= Version("11.8"):
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cc_flag.append("-gencode")
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cc_flag.append("arch=compute_90,code=sm_90")
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# HACK: The compiler flag -D_GLIBCXX_USE_CXX11_ABI is set to be the same as
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# torch._C._GLIBCXX_USE_CXX11_ABI
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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==2.2.4
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RUN pip install flash-attn==2.2.4.post1
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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 v2.2.4 \
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&& cd flash-attention && git checkout v2.2.4.post1 \
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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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