You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
123 lines
3.2 KiB
123 lines
3.2 KiB
/**
|
|
* 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.
|
|
*/
|
|
|
|
/*!
|
|
* \file npu_loss_scale_ops.h
|
|
* \brief
|
|
*/
|
|
#ifndef OPS_BUILT_IN_OP_PROTO_INC_NPU_LOSS_SCALE_OPS_H_
|
|
#define OPS_BUILT_IN_OP_PROTO_INC_NPU_LOSS_SCALE_OPS_H_
|
|
#include "graph/operator_reg.h"
|
|
|
|
namespace ge {
|
|
|
|
/**
|
|
*@brief Computes NPU alloc float status operator function . \n
|
|
|
|
*@par Outputs:
|
|
*data: A Tensor of data value. Must be float32.
|
|
|
|
*@par Restrictions:
|
|
*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
|
|
*/
|
|
REG_OP(NPUAllocFloatStatusOperator)
|
|
.OUTPUT(data, TensorType({DT_FLOAT}))
|
|
.OP_END_FACTORY_REG(NPUAllocFloatStatusOperator)
|
|
|
|
/**
|
|
*@brief Computes NPU clear float status operator function . \n
|
|
|
|
*@par Inputs:
|
|
*addr: A Tensor of data memory address. Must be float32 . \n
|
|
|
|
*@par Outputs:
|
|
*data: A Tensor of data value. Must be float32.
|
|
|
|
*@par Restrictions:
|
|
*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
|
|
*/
|
|
REG_OP(NPUClearFloatStatusOperator)
|
|
.INPUT(addr, TensorType{DT_FLOAT})
|
|
.OUTPUT(data, TensorType({DT_FLOAT}))
|
|
.OP_END_FACTORY_REG(NPUClearFloatStatusOperator)
|
|
|
|
/**
|
|
*@brief Computes NPU get float status operator function . \n
|
|
|
|
*@par Inputs:
|
|
*addr: A Tensor of data memory address. Must be float32 . \n
|
|
|
|
*@par Outputs:
|
|
*data: A Tensor of data value. Must be float32.
|
|
|
|
*@par Restrictions:
|
|
*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
|
|
*/
|
|
REG_OP(NPUGetFloatStatusOperator)
|
|
.INPUT(addr, TensorType{DT_FLOAT})
|
|
.OUTPUT(data, TensorType({DT_FLOAT}))
|
|
.OP_END_FACTORY_REG(NPUGetFloatStatusOperator)
|
|
|
|
/**
|
|
*@brief Produces a variable with 0 in memory . \n
|
|
|
|
*@par Outputs:
|
|
*y: A Tensor of type int32, output eight numbers with a value of zero.
|
|
|
|
*@par Restrictions:
|
|
*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
|
|
*/
|
|
REG_OP(NPUAllocFloatStatus)
|
|
.OUTPUT(data, TensorType({DT_FLOAT}))
|
|
.OP_END_FACTORY_REG(NPUAllocFloatStatus)
|
|
|
|
/**
|
|
*@brief Set the value of address 0x40000 to 0 in each core . \n
|
|
|
|
*@par Inputs:
|
|
*addr: A tensor of type float32 . \n
|
|
|
|
*@par Outputs:
|
|
*data: A Tensor of type float32.
|
|
|
|
*@par Restrictions:
|
|
*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
|
|
*/
|
|
REG_OP(NPUClearFloatStatus)
|
|
.INPUT(addr, TensorType{DT_FLOAT})
|
|
.OUTPUT(data, TensorType({DT_FLOAT}))
|
|
.OP_END_FACTORY_REG(NPUClearFloatStatus)
|
|
|
|
/**
|
|
*@brief Get the value of address 0x40000 . \n
|
|
|
|
*@par Inputs:
|
|
*addr: A tensor of type float32 . \n
|
|
|
|
*@par Outputs:
|
|
*data: A Tensor of type float32.
|
|
|
|
*@par Restrictions:
|
|
*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
|
|
*/
|
|
REG_OP(NPUGetFloatStatus)
|
|
.INPUT(addr, TensorType{DT_FLOAT})
|
|
.OUTPUT(data, TensorType({DT_FLOAT}))
|
|
.OP_END_FACTORY_REG(NPUGetFloatStatus)
|
|
} // namespace ge
|
|
|
|
#endif // OPS_BUILT_IN_OP_PROTO_INC_NPU_LOSS_SCALE_OPS_H_
|