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.
graphengine/third_party/fwkacllib/inc/ops/npu_loss_scale_ops.h

76 lines
2.1 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.
*/
#ifndef GE_OP_NN_LOSS_SCALE_OPS_H
#define GE_OP_NN_LOSS_SCALE_OPS_H
#include "graph/operator_reg.h"
namespace ge {
REG_OP(NPUAllocFloatStatusOperator)
.OUTPUT(data, TensorType({DT_FLOAT}))
.OP_END_FACTORY_REG(NPUAllocFloatStatusOperator)
REG_OP(NPUClearFloatStatusOperator)
.INPUT(addr, TensorType{DT_FLOAT})
.OUTPUT(data, TensorType({DT_FLOAT}))
.OP_END_FACTORY_REG(NPUClearFloatStatusOperator)
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.
*@par Outputs:
*y: A Tensor of type int32, output eight numbers with a value of zero.
*/
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.
*@par Inputs:
*@li addr: A tensor of type float32.
*@par Outputs:
*data: A Tensor of type float32.
*/
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.
*@par Inputs:
*@li addr: A tensor of type float32.
*@par Outputs:
*data: A Tensor of type float32.
*/
REG_OP(NPUGetFloatStatus)
.INPUT(addr, TensorType{DT_FLOAT})
.OUTPUT(data, TensorType({DT_FLOAT}))
.OP_END_FACTORY_REG(NPUGetFloatStatus)
} // namespace ge
#endif // GE_OP_NN_LOSS_SCALE_OPS_H