* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
#ifndef _ACTIVATION_GRAPH_HARDTANH_GRAD_PROTO_H_
#define _ACTIVATION_GRAPH_HARDTANH_GRAD_PROTO_H_
#include "graph/operator_reg.h"
namespace ge {
* @brief PyTorch hardtanh_backward operator.
*
* @par Inputs:
* Two inputs, including:
* @li result: Support 1D ~ 8D. Minimum tensor of the linear region range,
* datatype: bfloat16/float16/float32, format:ND/5HD.
* @li grad: Maximum tensor of the linear region range,
* datatype: bfloat16/float16/float32, format:ND/5HD. \n
* @par Attributes:
* Two attributes, including:
* @li min_val: Minimum value of the linear region range, datatype:float. Defaults to "-1.0".
* @li max_val: Maximum value of the linear region range, datatype:float. Defaults to "1.0".\n
* @par Outputs:
* One output, including:
* y: Hardtanh_backward output tensor. Shape, datatype and format is the same as input result. \n
* @attention Constraints:
* This operator only supports datatype: bfloat16/float16/float32, format: ND/5HD. \n
* @par Third-party framework compatibility
* Compatible with the PyTorch operator HardtanhGrad.
*/
REG_OP(HardtanhGrad)
.INPUT(result, TensorType({ DT_BF16, DT_FLOAT16, DT_FLOAT }))
.INPUT(grad, TensorType({ DT_BF16, DT_FLOAT16, DT_FLOAT }))
.OUTPUT(y, TensorType({ DT_BF16, DT_FLOAT16, DT_FLOAT }))
.ATTR(min_val, Float, -1.0)
.ATTR(max_val, Float, 1.0)
.OP_END_FACTORY_REG(HardtanhGrad)
}
#endif