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limit sgl-kernel causal conv1d to cuda only (#10648)

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Co-authored-by: Jinyan Chen <jinyanc@nvidia.com>
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Jinyan Chen
2025-09-20 07:59:37 +08:00
committed by GitHub
parent 6f993e8b9e
commit d88ef4a388
1 changed files with 9 additions and 6 deletions
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15
python/sglang/srt/layers/attention/hybrid_linear_attn_backend.py
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@@ -13,9 +13,6 @@ from sglang.srt.layers.attention.fla.fused_recurrent import (
from sglang.srt.layers.attention.fla.fused_sigmoid_gating_recurrent import (
fused_sigmoid_gating_delta_rule_update,
)
from sglang.srt.layers.attention.mamba.causal_conv1d import (
causal_conv1d_fn as causal_conv1d_fn_sgl,
)
from sglang.srt.layers.attention.mamba.causal_conv1d_triton import (
causal_conv1d_fn,
causal_conv1d_update,
@@ -26,9 +23,15 @@ from sglang.srt.model_executor.forward_batch_info import ForwardBatch, ForwardMo
from sglang.srt.model_executor.model_runner import ModelRunner
from sglang.srt.models.qwen3_next import Qwen3HybridLinearDecoderLayer, fused_gdn_gating
from sglang.srt.speculative.eagle_utils import EagleDraftInput, EagleVerifyInput
from sglang.srt.utils import is_npu
from sglang.srt.utils import is_cuda, is_npu
if is_npu():
if is_cuda():
from sglang.srt.layers.attention.mamba.causal_conv1d import (
causal_conv1d_fn as causal_conv1d_fn_cuda,
)
causal_conv1d_fn = causal_conv1d_fn_cuda
elif is_npu():
from sgl_kernel_npu.fla.chunk import chunk_gated_delta_rule_npu
from sgl_kernel_npu.fla.fused_sigmoid_gating_recurrent import (
fused_sigmoid_gating_delta_rule_update_npu,
@@ -350,7 +353,7 @@ class MambaAttnBackend(AttentionBackend):
mixed_qkv_processed.transpose(1, 2).contiguous().view(seq_len, -1)
)
else:
mixed_qkv = causal_conv1d_fn_sgl(
mixed_qkv = causal_conv1d_fn(
mixed_qkv.transpose(0, 1),
conv_weights,
bias,