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[Core/Bugfix] Add query dtype as per FlashInfer API requirements. (#8173)

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Elfie Guo 2024-09-04 22:12:26 -07:00 committed by GitHub
parent ba262c4e5a
commit e39ebf5cf5
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2 changed files with 10 additions and 2 deletions
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3
tests/kernels/test_flashinfer.py
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@ -445,7 +445,8 @@ def test_flashinfer_decode_with_paged_fp8_kv(
head_size,
block_size,
"NONE",
data_type=dtype)
data_type=dtype,
q_data_type=dtype)
output = wrapper.forward(query,
kv_cache_fp8,
logits_soft_cap=soft_cap,

9
vllm/attention/backends/flashinfer.py
View File

@ -224,6 +224,7 @@ class FlashInferState(AttentionState):
query_start_loc=query_start_loc_host,
device=self.runner.device,
data_type=kv_cache_dtype,
q_data_type=self.runner.model_config.dtype,
use_cuda_graph=True,
decode_wrapper=self._graph_decode_wrapper,
prefill_wrapper=None)
@ -292,6 +293,8 @@ class FlashInferMetadata(AttentionMetadata):
page_size: Optional[int] = None
# The data type of the paged kv cache
data_type: torch.dtype = None
# The data type of the query
q_data_type: torch.dtype = None
device: torch.device = torch.device("cuda")
is_profile_run: bool = False
@ -353,7 +356,10 @@ class FlashInferMetadata(AttentionMetadata):
self.page_size,
# Disable flashinfer's pos encoding and use vllm's rope.
pos_encoding_mode="NONE",
data_type=self.data_type)
# kv-cache data type.
data_type=self.data_type,
# query data type.
q_data_type=self.q_data_type)
def asdict_zerocopy(self,
skip_fields: Optional[Set[str]] = None
@ -617,6 +623,7 @@ class FlashInferMetadataBuilder(AttentionMetadataBuilder[FlashInferMetadata]):
query_start_loc=query_start_loc,
device=device,
data_type=kv_cache_dtype,
q_data_type=self.runner.model_config.dtype,
use_cuda_graph=use_captured_graph,
is_profile_run=self.is_profile_run)