add qwen3_moe
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@@ -258,7 +258,11 @@ class Qwen3MoeAttention(nn.Module):
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k_by_head = self.k_norm(k_by_head)
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k = k_by_head.reshape(k_shape)
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q, k = self.rotary_emb(positions, q, k)
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# MLU's forward_mlu signature is (positions, x, offsets=None),
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# so we must call separately for q and k to avoid k being
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# treated as offsets.
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q = self.rotary_emb(positions, q)
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k = self.rotary_emb(positions, k)
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attn_output = self.attn(q, k, v, kv_cache, attn_metadata)
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output, _ = self.o_proj(attn_output)
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return output
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