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[Performance] Split FlashAttn attention and cache update (#25954)

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Signed-off-by: ElizaWszola <ewszola@redhat.com>
Signed-off-by: mgoin <mgoin64@gmail.com>
Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Signed-off-by: Luka Govedič <luka.govedic@gmail.com>
Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Signed-off-by: Luka Govedič <ProExpertProg@users.noreply.github.com>
Signed-off-by: Luka Govedič <lgovedic@redhat.com>
Co-authored-by: mgoin <mgoin64@gmail.com>
Co-authored-by: Varun Sundar Rabindranath <varunsundar08@gmail.com>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Luka Govedič <ProExpertProg@users.noreply.github.com>
Co-authored-by: Luka Govedič <luka.govedic@gmail.com>
Co-authored-by: Lucas Wilkinson <lwilkins@redhat.com>
Co-authored-by: Luka Govedič <lgovedic@redhat.com>
This commit is contained in:
ElizaWszola
2026-01-24 02:28:06 +01:00
committed by GitHub
parent 0118cdcc02
commit a28b94e6ef
21 changed files with 458 additions and 68 deletions
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3
vllm/utils/torch_utils.py
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@@ -613,8 +613,9 @@ def weak_ref_tensor(tensor: Any) -> Any:
Create a weak reference to a tensor.
The new tensor will share the same data as the original tensor,
but will not keep the original tensor alive.
This ignores 0-size tensors as those don't allocate any memory.
"""
if isinstance(tensor, torch.Tensor):
if isinstance(tensor, torch.Tensor) and tensor.numel() > 0:
return torch.ops._C.weak_ref_tensor(tensor)
else:
return tensor