diff --git a/src/operator/numpy/np_elemwise_broadcast_op_extended.cc b/src/operator/numpy/np_elemwise_broadcast_op_extended.cc
index 7bb3bbae3d6b..5a69cd51bcd4 100644
--- a/src/operator/numpy/np_elemwise_broadcast_op_extended.cc
+++ b/src/operator/numpy/np_elemwise_broadcast_op_extended.cc
@@ -377,6 +377,7 @@ MXNET_OPERATOR_REGISTER_BINARY_BROADCAST(broadcast_fmax)
 .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_broadcast_fmax"});
 
 NNVM_REGISTER_OP(_backward_broadcast_fmax)
+.add_alias("_backward_npi_fmax")
 .set_num_inputs(3)
 .set_num_outputs(2)
 .set_attr<nnvm::TIsBackward>("TIsBackward", true)
@@ -398,6 +399,7 @@ MXNET_OPERATOR_REGISTER_NP_BINARY_SCALAR(_fmax_scalar)
 .add_alias("_npi_fmax_scalar");
 
 MXNET_OPERATOR_REGISTER_BINARY(_backward_fmax_scalar)
+.add_alias("_backward_npi_fmax_scalar")
 .add_argument("scalar", "float", "scalar value")
 .set_attr_parser([](NodeAttrs *attrs) { attrs->parsed = std::stod(attrs->dict["scalar"]); })
 .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Backward<cpu, mshadow_op::ge>);
@@ -408,6 +410,7 @@ MXNET_OPERATOR_REGISTER_BINARY_BROADCAST(broadcast_fmin)
 .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_broadcast_fmin"});
 
 NNVM_REGISTER_OP(_backward_broadcast_fmin)
+.add_alias("_backward_npi_fmin")
 .set_num_inputs(3)
 .set_num_outputs(2)
 .set_attr<nnvm::TIsBackward>("TIsBackward", true)
@@ -429,6 +432,7 @@ MXNET_OPERATOR_REGISTER_NP_BINARY_SCALAR(_fmin_scalar)
 .add_alias("_npi_fmin_scalar");
 
 MXNET_OPERATOR_REGISTER_BINARY(_backward_fmin_scalar)
+.add_alias("_backward_npi_fmin_scalar")
 .add_argument("scalar", "float", "scalar value")
 .set_attr_parser([](NodeAttrs *attrs) { attrs->parsed = std::stod(attrs->dict["scalar"]); })
 .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Backward<cpu, mshadow_op::le>);