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114 lines
3.1 KiB
114 lines
3.1 KiB
/**
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* Copyright 2019-2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/*!
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* \file resource_variable_ops.h
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* \brief
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*/
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#ifndef OPS_BUILT_IN_OP_PROTO_INC_RESOURCE_VARIABLE_OPS_H_
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#define OPS_BUILT_IN_OP_PROTO_INC_RESOURCE_VARIABLE_OPS_H_
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#include "graph/operator.h"
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#include "graph/operator_reg.h"
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namespace ge {
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/**
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*@brief Creates a handle to a Variable resource. \n
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*@par Outputs:
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*y:A Tensor of type resource. \n
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*@par Attributes:
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* @li container: optional, string.
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* @li shared_name: optional, string.
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* @li dtype: required, type.
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* @li shape: optional, ListInt. \n
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*@see VarHandleOp.
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*/
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REG_OP(VarHandleOp)
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.ATTR(container, String, "")
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.ATTR(shared_name, String, "")
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.REQUIRED_ATTR(dtype, Type)
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.ATTR(shape, ListInt, ge::UNKNOWN_SHAPE)
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.OUTPUT(y, TensorType({DT_RESOURCE}))
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.OP_END_FACTORY_REG(VarHandleOp)
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/**
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*@brief Assigns a new value to a variable. \n
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*@par Inputs:
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*resource:Handle to the resource in which to store the variable.
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*value:The value to set the new tensor to use. \n
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*@par Attributes:
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* @li dtype: required, type. \n
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*@see AssignVariableOp.
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*/
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REG_OP(AssignVariableOp)
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.INPUT(resource, TensorType({DT_RESOURCE}))
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.INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
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DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE}))
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.REQUIRED_ATTR(dtype, Type)
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.OP_END_FACTORY_REG(AssignVariableOp)
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/**
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*@brief Adds a value to the current value of a variable. \n
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*@par Inputs:
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*resource:Handle to the resource in which to store the variable.
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*value:The value by which the variable will be incremented. \n
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*@par Attributes:
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* @li dtype: required, type. \n
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*@see AssignAddVariableOp.
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*/
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REG_OP(AssignAddVariableOp)
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.INPUT(resource, TensorType({DT_RESOURCE}))
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.INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
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DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE}))
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.REQUIRED_ATTR(dtype, Type)
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.OP_END_FACTORY_REG(AssignAddVariableOp)
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/**
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*@brief Subtracts a value to the current value of a variable. \n
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*@par Inputs:
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*resource:Handle to the resource in which to store the variable.
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*value:The value by which the variable will be incremented. \n
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*@par Attributes:
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* @li dtype: required, type. \n
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*@see AssignSubVariableOp.
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*/
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REG_OP(AssignSubVariableOp)
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.INPUT(resource, TensorType({DT_RESOURCE}))
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.INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
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DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE}))
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.REQUIRED_ATTR(dtype, Type)
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.OP_END_FACTORY_REG(AssignSubVariableOp)
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} // namespace ge
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#endif // OPS_BUILT_IN_OP_PROTO_INC_RESOURCE_VARIABLE_OPS_H_
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