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- from memory_efficient_attention_pytorch .memory_efficient_attention import Attention
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- from memory_efficient_attention_pytorch .memory_efficient_cosine_sim_attention import CosineSimAttention
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+ from memory_efficient_attention_pytorch .memory_efficient_attention import Attention , memory_efficient_attention
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+ from memory_efficient_attention_pytorch .memory_efficient_cosine_sim_attention import CosineSimAttention , numerically_unstable_memory_efficient_attention
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setup (
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name = 'memory-efficient-attention-pytorch' ,
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packages = find_packages (exclude = []),
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- version = '0.0.10 ' ,
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+ version = '0.0.11 ' ,
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license = 'MIT' ,
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description = 'Memory Efficient Attention - Pytorch' ,
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author = 'Phil Wang' ,
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