Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[CI] Fix merge conflict #9317

Merged
merged 1 commit into from
Oct 13, 2024
Merged

[CI] Fix merge conflict #9317

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 7 additions & 10 deletions vllm/attention/backends/placeholder_attn.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -75,11 +75,8 @@ class PlaceholderAttentionMetadata(AttentionMetadata):
# Maximum query length in the batch.
max_query_len: Optional[int]

# Number of query tokens for each request in the batch.
# Currently, we require that all requests have the same number of query
# tokens during the decoding phase. When speculavie decoding is enabled,
# decode_query_len might be greater than 1. In all other cases, it is 1.
decode_query_len: Optional[int]
# Max number of query tokens among request in the batch.
max_decode_query_len: Optional[int]

# Maximum sequence length among prefill batch. 0 if there are decoding
# requests only.
Expand Down Expand Up @@ -140,7 +137,7 @@ def prefill_metadata(self) -> Optional["PlaceholderAttentionMetadata"]:
slot_mapping=slot_mapping,
seq_lens=self.seq_lens[:self.num_prefills],
seq_lens_tensor=self.seq_lens_tensor[:self.num_prefills],
decode_query_len=0,
max_decode_query_len=0,
max_query_len=self.max_query_len,
max_prefill_seq_len=self.max_prefill_seq_len,
max_decode_seq_len=0,
Expand Down Expand Up @@ -172,7 +169,7 @@ def decode_metadata(self) -> Optional["PlaceholderAttentionMetadata"]:
slot_mapping=slot_mapping,
seq_lens=None,
seq_lens_tensor=self.seq_lens_tensor[self.num_prefills:],
decode_query_len=self.decode_query_len,
max_decode_query_len=self.max_decode_query_len,
max_query_len=None,
max_prefill_seq_len=0,
max_decode_seq_len=self.max_decode_seq_len,
Expand Down Expand Up @@ -256,9 +253,9 @@ def build(self, seq_lens: List[int], query_lens: List[int],
max_query_len = max(query_lens)
decode_query_lens = query_lens[self.num_prefills:]
if len(decode_query_lens) > 0:
decode_query_len = max(decode_query_lens)
max_decode_query_len = max(decode_query_lens)
else:
decode_query_len = 1
max_decode_query_len = 1
max_prefill_seq_len = max(self.prefill_seq_lens, default=0)
max_decode_seq_len = max(self.curr_seq_lens, default=0)
num_decode_tokens = self.num_decode_tokens
Expand Down Expand Up @@ -304,7 +301,7 @@ def build(self, seq_lens: List[int], query_lens: List[int],
seq_lens=seq_lens,
seq_lens_tensor=seq_lens_tensor,
max_query_len=max_query_len,
decode_query_len=decode_query_len,
max_decode_query_len=max_decode_query_len,
max_prefill_seq_len=max_prefill_seq_len,
max_decode_seq_len=max_decode_seq_len,
query_start_loc=query_start_loc,
Expand Down