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Fix an issue when piping attn_logits_soft_cap through in vllm. #8600

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Merged
merged 14 commits into from
Jan 22, 2025
Merged

Fix an issue when piping attn_logits_soft_cap through in vllm. #8600

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2b98060
Pipes attn_logits_soft_cap through multi_queries_paged_attention
fenghuizhang Jan 15, 2025
8106ad2
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
8802322
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
9e57ad4
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
1835876
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
68cd431
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
491dbdb
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
b8660fe
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
351de89
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
2ce9e2f
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
19cf3a0
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
172f9cd
Implements attn_logits_soft_cap and pass it through multi_queries_pag…
fenghuizhang Jan 15, 2025
633792c
Fix the signature of paged_attention by marking attn_logits_soft_cap …
fenghuizhang Jan 22, 2025
28df218
Merge branch 'pytorch:master' into master
fenghuizhang Jan 22, 2025
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3 changes: 2 additions & 1 deletion torch_xla/experimental/custom_kernel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1080,7 +1080,8 @@ def flash_attention_non_xla(q: torch.Tensor,


XLA_LIB.define(
"paged_attention(Tensor q, Tensor k_pages, Tensor v_pages, Tensor lengths, Tensor page_indices, int pages_per_compute_block, str megacore_mode=None, float attn_logits_soft_cap=None) -> Tensor",
"paged_attention(Tensor q, Tensor k_pages, Tensor v_pages, Tensor lengths, Tensor page_indices,"
" int pages_per_compute_block, str megacore_mode=None, float? attn_logits_soft_cap=None) -> Tensor",
)


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