126       int output_flag = 0;  in NumpyUniqueCPUNoneAxisImpl()
128         output_flag += 1;  in NumpyUniqueCPUNoneAxisImpl()
129         const_cast<NDArray &>(outputs[output_flag]).Init(s);  in NumpyUniqueCPUNoneAxisImpl()
130         dim_t* unique_indices = outputs[output_flag].data().dptr<dim_t>();  in NumpyUniqueCPUNoneAxisImpl()
137         output_flag += 1;  in NumpyUniqueCPUNoneAxisImpl()
138         const_cast<NDArray &>(outputs[output_flag]).Init(mxnet::TShape(1, input_size));  in NumpyUniqueCPUNoneAxisImpl()
139         dim_t* unique_inverse = outputs[output_flag].data().dptr<dim_t>();  in NumpyUniqueCPUNoneAxisImpl()
144         output_flag += 1;  in NumpyUniqueCPUNoneAxisImpl()
154         const_cast<NDArray &>(outputs[output_flag]).Init(s);  in NumpyUniqueCPUNoneAxisImpl()
155         dim_t* unique_counts = outputs[output_flag].data().dptr<dim_t>();  in NumpyUniqueCPUNoneAxisImpl()
242     int output_flag = 0;  in NumpyUniqueCPUImpl()
244       output_flag += 1;  in NumpyUniqueCPUImpl()
245       const_cast<NDArray &>(outputs[output_flag]).Init(mxnet::TShape(1, valid_num));  in NumpyUniqueCPUImpl()
246       dim_t* unique_indices = outputs[output_flag].data().dptr<dim_t>();  in NumpyUniqueCPUImpl()
253       output_flag += 1;  in NumpyUniqueCPUImpl()
254       const_cast<NDArray &>(outputs[output_flag]).Init(mxnet::TShape(1, temp_shape[0]));  in NumpyUniqueCPUImpl()
255       dim_t* unique_inverse = outputs[output_flag].data().dptr<dim_t>();  in NumpyUniqueCPUImpl()
260       output_flag += 1;  in NumpyUniqueCPUImpl()
270       const_cast<NDArray &>(outputs[output_flag]).Init(mxnet::TShape(1, valid_num));  in NumpyUniqueCPUImpl()
271       dim_t* unique_counts = outputs[output_flag].data().dptr<dim_t>();  in NumpyUniqueCPUImpl()
298     int output_flag = 0;  in NumpyUniqueCPUForward()  local
300       output_flag += 1;  in NumpyUniqueCPUForward()
301       const_cast<NDArray &>(outputs[output_flag]).Init(shape_1);  in NumpyUniqueCPUForward()
303           outputs[output_flag].data().get_with_shape<cpu, 1, dim_t>(Shape1(1), s);  in NumpyUniqueCPUForward()
307       output_flag += 1;  in NumpyUniqueCPUForward()
308       const_cast<NDArray &>(outputs[output_flag]).Init(shape_1);  in NumpyUniqueCPUForward()
310           outputs[output_flag].data().get_with_shape<cpu, 1, dim_t>(Shape1(1), s);  in NumpyUniqueCPUForward()
314       output_flag += 1;  in NumpyUniqueCPUForward()
315       const_cast<NDArray &>(outputs[output_flag]).Init(shape_1);  in NumpyUniqueCPUForward()
317           outputs[output_flag].data().get_with_shape<cpu, 1, dim_t>(Shape1(1), s);  in NumpyUniqueCPUForward()
331     int output_flag = 0;  in NumpyUniqueCPUForward()  local
333       output_flag += 1;  in NumpyUniqueCPUForward()
334       const_cast<NDArray &>(outputs[output_flag]).Init(shape_0);  in NumpyUniqueCPUForward()
337       output_flag += 1;  in NumpyUniqueCPUForward()
338       const_cast<NDArray &>(outputs[output_flag]).Init(shape_0);  in NumpyUniqueCPUForward()
341       output_flag += 1;  in NumpyUniqueCPUForward()
342       const_cast<NDArray &>(outputs[output_flag]).Init(shape_0);  in NumpyUniqueCPUForward()