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Fix for breaking changes in xformers 0.0.21 (#834)
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@ -5,7 +5,7 @@ sentencepiece # Required for LLaMA tokenizer.
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numpy
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torch >= 2.0.0
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transformers >= 4.31.0 # Required for LLaMA-2.
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xformers >= 0.0.19
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xformers >= 0.0.21
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fastapi
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uvicorn
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pydantic < 2 # Required for OpenAI server.
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@ -357,11 +357,12 @@ class PagedAttentionWithALiBi(PagedAttention):
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# be sliced from a tensor whose length is a multiple of 8.
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padded_len = (prompt_len + 7) // 8 * 8
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bias = torch.empty(
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1, # batch_size
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self.num_heads,
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padded_len,
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prompt_len,
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padded_len,
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device=self.alibi_slopes.device,
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)[:, :prompt_len, :prompt_len].copy_(bias)
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)[:, :, :, :prompt_len].copy_(bias)
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bias.mul_(self.alibi_slopes[:, None, None])
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attn_bias = LowerTriangularMaskWithTensorBias(bias)
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input_metadata.attn_bias.append(attn_bias)
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