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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.
from collections.abc import MutableMapping
'''optype -> Operator Index List'''
class OpTypesMap(MutableMapping):
def __init__(self, *args, **kwargs):
self.store = dict()
self.update(dict(*args, **kwargs))
def __getitem__(self, key):
return self.store[self._keytransform(key)]
def __setitem__(self, key, value):
k = self._keytransform(key)
if not k in self.store.keys():
self.store[k] = []
self.store[k].append(value)
def __delitem__(self, key):
del self.store[self._keytransform(key)]
def __iter__(self):
return iter(self.store)
def __len__(self):
return len(self.store)
def _keytransform(self, key):
if not isinstance(key, str):
raise TypeError("must be set to a str")
return key
"""
NOTE
- This class expresses a wrapping class for a native class.
- Just use this class as an interface.
"""
class Subgraph(object):
def __init__(self):
self._index = -1
self._inputs = []
self._outputs = []
self._subg_name = ""
self._model_name = ""
self._tensors_map = {}
self._operators_map = {}
self._optypes_map = OpTypesMap()
'''index'''
@property
def index(self):
'''Subgraph'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
'''inputs'''
@property
def inputs(self):
'''Subgraph's input tensors as a list which consists of Tensors'''
return self._inputs
@inputs.setter
def inputs(self, value):
if not isinstance(value, list):
raise TypeError("must be set to a list")
self._inputs = value
'''outputs'''
@property
def outputs(self):
'''Subgraph's output tensors as a list which consists of Tensors'''
return self._outputs
@outputs.setter
def outputs(self, value):
if not isinstance(value, list):
raise TypeError("must be set to a list")
self._outputs = value
'''subg_name'''
@property
def subg_name(self):
'''Subgraph's name str'''
return self._subg_name
@subg_name.setter
def subg_name(self, value):
if not isinstance(value, str):
raise TypeError("must be set to a str")
self._subg_name = value
'''model_name'''
@property
def model_name(self):
'''Model name str'''
return self._model_name
@model_name.setter
def model_name(self, value):
if not isinstance(value, str):
raise TypeError("must be set to a str")
self._model_name = value
'''tensors_map'''
@property
def tensors_map(self):
'''Subgraph's all tensors(key:index, value:Tensor)'''
return self._tensors_map
@tensors_map.setter
def tensors_map(self, value):
if not isinstance(value, dict):
raise TypeError("must be set to a dict")
self._tensors_map = value
'''operators_map'''
@property
def operators_map(self):
'''Subgraph's operators(key:index, value:Operator)'''
return self._operators_map
@operators_map.setter
def operators_map(self, value):
if not isinstance(value, dict):
raise TypeError("must be set to a dict")
self._operators_map = value
'''optypes_map'''
@property
def optypes_map(self):
'''Subgraph's operators per type(key:optype, value:[op_indice])'''
return self._optypes_map
@optypes_map.setter
def optypes_map(self, value):
if not isinstance(value, OpTypesMap):
raise TypeError("must be set to a OpTypesMap")
self._optypes_map = value
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