diff --git a/python/mxnet/numpy/utils.py b/python/mxnet/numpy/utils.py
index c34650a61f31..7f9d7bec5030 100644
--- a/python/mxnet/numpy/utils.py
+++ b/python/mxnet/numpy/utils.py
@@ -23,7 +23,7 @@
 import numpy as onp
 
 __all__ = ['float16', 'float32', 'float64', 'uint8', 'int32', 'int8', 'int64',
-           'bool', 'bool_', 'pi', 'inf', 'nan', 'PZERO', 'NZERO', 'newaxis']
+           'bool', 'bool_', 'pi', 'inf', 'nan', 'PZERO', 'NZERO', 'newaxis', 'finfo']
 
 float16 = onp.float16
 float32 = onp.float32
@@ -42,3 +42,4 @@
 NZERO = onp.NZERO
 
 newaxis = None
+finfo = onp.finfo
diff --git a/src/operator/tensor/broadcast_reduce_op.h b/src/operator/tensor/broadcast_reduce_op.h
index 27e22491ca35..8b979c5c460d 100644
--- a/src/operator/tensor/broadcast_reduce_op.h
+++ b/src/operator/tensor/broadcast_reduce_op.h
@@ -593,7 +593,7 @@ void SearchAxisCompute(const nnvm::NodeAttrs& attrs,
   }
   if (input.shape_.Size() == 0U) return;  // zero-size tensor
   mxnet::TShape shape = AxisShapeCompact(input.shape_, &axis, false);
-  MSHADOW_REAL_TYPE_SWITCH(outputs[0].type_flag_, DType, {
+  MSHADOW_TYPE_SWITCH(inputs[0].type_flag_, DType, {
     Tensor<xpu, 2, DType> out = outputs[0].get_with_shape<xpu, 2, DType>(
       Shape2(shape[0], shape[2]), s);
     Tensor<xpu, 3, DType> in = input.get_with_shape<xpu, 3, DType>(