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Fix redundant kernel in sink dtype conversion (#8966)

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This commit is contained in:
fzyzcjy
2025-08-09 15:34:49 +08:00
committed by GitHub
parent 442534aa44
commit d3e67deb1b
1 changed files with 2 additions and 2 deletions
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python/sglang/srt/models/gpt_oss.py
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@@ -247,7 +247,7 @@ class GptOssAttention(nn.Module):
) )
self.sinks = nn.Parameter( self.sinks = nn.Parameter(
torch.empty(self.num_heads, dtype=params_dtype), requires_grad=False torch.empty(self.num_heads, dtype=torch.float32), requires_grad=False
) )
self.o_proj = RowParallelLinear( self.o_proj = RowParallelLinear(
@@ -301,7 +301,7 @@ class GptOssAttention(nn.Module):
hidden_states, forward_batch, inner_state = intermediate_state hidden_states, forward_batch, inner_state = intermediate_state
if inner_state is None: if inner_state is None:
return hidden_states return hidden_states
attn_output = self.attn(*inner_state, sinks=self.sinks.to(torch.float32)) attn_output = self.attn(*inner_state, sinks=self.sinks)
output, _ = self.o_proj(attn_output) output, _ = self.o_proj(attn_output)
return output return output