[Bugfix] Update flashinfer.py with PagedAttention forwards - Fixes Gemma2 OpenAI Server Crash (#6501)

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Noam Gat 2024-07-18 10:47:13 +03:00 committed by GitHub
parent e2fbaee725
commit c8a7d51c49
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@ -20,6 +20,7 @@ from vllm.attention.backends.abstract import (AttentionBackend, AttentionImpl,
from vllm.attention.backends.utils import (PAD_SLOT_ID, compute_slot_mapping,
compute_slot_mapping_start_idx,
is_block_tables_empty)
from vllm.attention.ops.paged_attn import PagedAttention
from vllm.sequence import SequenceGroupMetadata
from vllm.utils import get_kv_cache_torch_dtype, make_tensor_with_pad
@ -61,14 +62,14 @@ class FlashInferBackend(AttentionBackend):
dst_kv_cache: torch.Tensor,
src_to_dst: torch.Tensor,
) -> None:
raise NotImplementedError
PagedAttention.swap_blocks(src_kv_cache, dst_kv_cache, src_to_dst)
@staticmethod
def copy_blocks(
kv_caches: List[torch.Tensor],
src_to_dists: torch.Tensor,
) -> None:
raise NotImplementedError
PagedAttention.copy_blocks(kv_caches, src_to_dists)
@staticmethod
def get_supported_head_sizes() -> List[int]: