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[fix] fix illegal mem access and clean up triton attention backend (#4571)

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JieXin Liang
2025-03-20 17:01:52 +08:00
committed by GitHub
parent fad86a6863
commit 9e93ef3f8e
7 changed files with 124 additions and 125 deletions
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10
python/sglang/srt/model_executor/cuda_graph_runner.py
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@@ -26,7 +26,6 @@ import tqdm
from sglang.srt.custom_op import CustomOp
from sglang.srt.distributed import get_tensor_model_parallel_rank
from sglang.srt.distributed.parallel_state import GroupCoordinator, graph_capture
from sglang.srt.layers.dp_attention import get_attention_tp_size
from sglang.srt.layers.logits_processor import LogitsProcessorOutput
from sglang.srt.layers.moe.fused_moe_native import fused_moe_forward_native
from sglang.srt.layers.torchao_utils import save_gemlite_cache
@@ -196,9 +195,6 @@ class CudaGraphRunner:
# Attention backend
self.max_bs = max(self.capture_bs)
self.max_num_token = self.max_bs * self.num_tokens_per_bs
self.num_head = (
model_runner.model_config.num_attention_heads // get_attention_tp_size()
)
self.model_runner.attn_backend.init_cuda_graph_state(self.max_num_token)
self.seq_len_fill_value = (
self.model_runner.attn_backend.get_cuda_graph_seq_len_fill_value()
@@ -507,15 +503,9 @@ class CudaGraphRunner:
if hasattr(forward_batch.spec_info, "hidden_states"):
self.hidden_states[:raw_num_token] = forward_batch.spec_info.hidden_states
num_kv_heads = self.num_head
if hasattr(forward_batch.token_to_kv_pool, "k_buffer"):
if isinstance(forward_batch.token_to_kv_pool.k_buffer, list):
num_kv_heads = forward_batch.token_to_kv_pool.k_buffer[0].shape[1]
# Attention backend
self.model_runner.attn_backend.init_forward_metadata_replay_cuda_graph(
bs,
num_kv_heads,
self.req_pool_indices,
self.seq_lens,
forward_batch.seq_lens_sum + (bs - raw_bs),