quick fix: add default for new kernel (#4898)
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@@ -41,6 +41,6 @@ def moe_fused_gate(input_tensor, bias, num_expert_group, topk_group, topk):
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# the #experts is decided by the input tensor shape and we currently only support power of 2 #experts
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# and #experts should be divisible by num_expert_group. #expert/num_expert_group <= 32 is limitted for now.
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# for non-supported case, we suggestion to use the biased_grouped_topk func in sglang.srt.layers.moe.topk
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return torch.ops.sgl_kernel.moe_fused_gate(
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return torch.ops.sgl_kernel.moe_fused_gate.default(
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input_tensor, bias, num_expert_group, topk_group, topk
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)
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