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#!/usr/bin/python
# Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
#
# 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.
"""
NOTE
- This class expresses a wrapping class for a native class.
- Just use this class as an interface.
"""
class Tensor(object):
def __init__(self):
self._index = -1
self._tensor_name = ""
self._buffer = None
self._buffer_index = -1
self._type_name = ""
self._shape = []
self._memory_size = -1
'''index'''
@property
def index(self):
'''Tensor's int type index'''
return self._index
@index.setter
def index(self, value):
if not isinstance(value, int):
raise TypeError("must be set to an integer")
self._index = value
'''tensor_name'''
@property
def tensor_name(self):
'''Tensor's name str'''
return self._tensor_name
@tensor_name.setter
def tensor_name(self, value):
if not isinstance(value, str):
raise TypeError("must be set to a str")
self._tensor_name = value
'''buffer'''
@property
def buffer(self):
'''Tensor's buffer as a numpy instance type'''
return self._buffer
@buffer.setter
def buffer(self, value):
self._buffer = value
'''buffer_index'''
@property
def buffer_index(self):
'''Tensor's int type buffer index'''
return self._buffer_index
@buffer_index.setter
def buffer_index(self, value):
if not isinstance(value, int):
raise TypeError("must be set to an integer")
self._buffer_index = value
'''type_name'''
@property
def type_name(self):
'''Tensor's type name str'''
return self._type_name
@type_name.setter
def type_name(self, value):
if not isinstance(value, str):
raise TypeError("must be set to a str")
self._type_name = value
'''shape'''
@property
def shape(self):
'''Tensor's shape as a list'''
return self._shape
@shape.setter
def shape(self, value):
if not isinstance(value, list):
raise TypeError("must be set to a list")
self._shape = value
'''memory_size'''
@property
def memory_size(self):
'''Tensor's memory size as int type'''
return self._memory_size
@memory_size.setter
def memory_size(self, value):
if not isinstance(value, int):
raise TypeError("must be set to an integer")
self._memory_size = value
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