104 lines
2.9 KiB
Python
104 lines
2.9 KiB
Python
"""
|
|
Copyright (C) 2018-2020 Intel Corporation
|
|
|
|
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 mo.graph.graph import Node, Graph
|
|
from mo.ops.op import Op
|
|
|
|
|
|
# TODO: check all supported attributes in this file
|
|
class TensorIteratorInput(Op):
|
|
op = "TensorIteratorInput"
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
'op': __class__.op,
|
|
'axis': None,
|
|
'start': None,
|
|
'end': None,
|
|
'stride': None,
|
|
'part_size': None,
|
|
'in_ports_count': 3,
|
|
'out_ports_count': 1,
|
|
'infer': TensorIteratorInput.input_infer,
|
|
}
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
def supported_attrs(self):
|
|
return ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size']
|
|
|
|
@staticmethod
|
|
def input_infer(node: Node):
|
|
pass
|
|
|
|
|
|
class TensorIteratorOutput(Op):
|
|
op = "TensorIteratorOutput"
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
'op': __class__.op,
|
|
'axis': None,
|
|
'start': None,
|
|
'end': None,
|
|
'stride': None,
|
|
'part_size': None,
|
|
'in_ports_count': 3,
|
|
'out_ports_count': 1,
|
|
'infer': TensorIteratorOutput.input_infer,
|
|
}
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
def supported_attrs(self):
|
|
return ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size']
|
|
|
|
@staticmethod
|
|
def input_infer(node: Node):
|
|
pass
|
|
|
|
|
|
class TensorIteratorCondition(Op):
|
|
op = "TensorIteratorCondition"
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
'op': __class__.op,
|
|
'in_ports_count': 2,
|
|
'out_ports_count': 2,
|
|
'infer': TensorIteratorCondition.input_infer,
|
|
}
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
@staticmethod
|
|
def input_infer(node: Node):
|
|
pass
|
|
|
|
|
|
class TensorIteratorBackEdge(Op):
|
|
op = 'TensorIteratorBackEdge'
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
'op': __class__.op,
|
|
'in_ports_count': 3,
|
|
'out_ports_count': 1,
|
|
'infer': TensorIteratorBackEdge.input_infer,
|
|
}
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
@staticmethod
|
|
def input_infer(node: Node):
|
|
pass
|