diff --git a/src/operator/numpy/np_broadcast_reduce_op.h b/src/operator/numpy/np_broadcast_reduce_op.h
index ac1d1611dcff..c475622c49c3 100644
--- a/src/operator/numpy/np_broadcast_reduce_op.h
+++ b/src/operator/numpy/np_broadcast_reduce_op.h
@@ -916,7 +916,7 @@ void NumpyMedianForward(const nnvm::NodeAttrs& attrs,
 
   Stream<xpu> *s = ctx.get_stream<xpu>();
 
-  auto &param = nnvm::get<NumpyMedianParam>(attrs.parsed);
+  NumpyMedianParam param = nnvm::get<NumpyMedianParam>(attrs.parsed);
   const TBlob& a = inputs[0];
   const TBlob& r = outputs[0];
 
@@ -979,6 +979,12 @@ void NumpyMedianForward(const nnvm::NodeAttrs& attrs,
     t_shape_ex[i] = a.shape_[axes[i-small.ndim()]];
   }
 
+  TopKParam topk_param;
+  topk_param.axis = dmlc::optional<int>(-1);
+  topk_param.is_ascend = true;
+  topk_param.k = 0;
+  topk_param.ret_typ = topk_enum::kReturnValue;
+
   MSHADOW_TYPE_SWITCH(a.type_flag_, DType, {
     using namespace mshadow::expr;
     Tensor<xpu, 1, char> workspace;
@@ -1033,12 +1039,6 @@ void NumpyMedianForward(const nnvm::NodeAttrs& attrs,
 
     TransposeImpl<xpu>(ctx.run_ctx, a, a_trans, t_axes);
 
-    TopKParam topk_param;
-    topk_param.axis = dmlc::optional<int>(-1);
-    topk_param.is_ascend = true;
-    topk_param.k = 0;
-    topk_param.ret_typ = topk_enum::kReturnValue;
-
     TBlob a_sort = TBlob(sort_ptr, t_shape, xpu::kDevMask);
     TBlob a_idx = TBlob(idx_ptr, t_shape, xpu::kDevMask);