/** * Copyright 2019-2020 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */#ifndef GE_OP_SCALE_OPS_H#define GE_OP_SCALE_OPS_H#include "graph/operator_reg.h"namespacege{REG_OP(Scale).INPUT(input_x,TensorType({DT_FLOAT,DT_FLOAT16}))/* "First operand." */.INPUT(scale_param,TensorType({DT_FLOAT,DT_FLOAT16}))/* "Second operand." */.INPUT(bias_param,TensorType({DT_FLOAT,DT_FLOAT16}))/* "Third operand." */.OUTPUT(output_y,TensorType({DT_FLOAT,DT_FLOAT16}))/* "Result, has same element type as input_x" */.ATTR(axis,Int,1).ATTR(num_axes,Int,1).ATTR(bias_term,Bool,false).ATTR(scale_from_blob,Bool,true).OP_END_FACTORY_REG(Scale)}// namespace ge#endif // GE_OP_SCALE_OPS_H
