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[Draft]Append padding logic for Attention #3256

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[Draft]Append padding logic for Attention #3256

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d3a9f49
fix padding logic
Angazenn Sep 29, 2025
4cc8816
fix lint
Angazenn Sep 29, 2025
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22 changes: 22 additions & 0 deletions vllm_ascend/attention/attention_v1.py
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Original file line number Diff line number Diff line change
Expand Up @@ -207,6 +207,28 @@ def build(
query_start_loc_cpu = common_attn_metadata.query_start_loc_cpu[:
num_reqs
+ 1]

if common_attn_metadata.graph_pad_size > num_actual_tokens:
padded_num_tokens = common_attn_metadata.graph_pad_size - num_actual_tokens
seq_lens = torch.cat([
seq_lens,
torch.ones(padded_num_tokens,
dtype=seq_lens.dtype,
device=seq_lens.device)
])
block_table_padding = torch.zeros(
(padded_num_tokens, ) + block_table.shape[1:],
dtype=block_table.dtype,
device=block_table.device)
block_table = torch.cat([block_table, block_table_padding], dim=0)
query_start_loc_cpu = torch.cat([
query_start_loc_cpu,
torch.arange(query_start_loc_cpu[-1] + 1,
query_start_loc_cpu[-1] + padded_num_tokens,
dtype=query_start_loc_cpu.dtype,
device=query_start_loc_cpu.device)
])

query_start_loc = query_start_loc_cpu.to(self.device,
non_blocking=True)

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5 changes: 4 additions & 1 deletion vllm_ascend/worker/model_runner_v1.py
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Expand Up @@ -1619,7 +1619,10 @@ def _build_attn_state(self, num_reqs, num_scheduled_tokens,
return attn_state

def _update_graph_pad_size(self, with_prefill, graph_pad_size):
self.graph_pad_size = -1
if not with_prefill:
self.graph_pad_size = graph_pad_size
else:
self.graph_pad_size = -1

def _update_input_ids_and_positions(self, input_ids, positions,
num_input_tokens, with_prefill,
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