openvino/model-optimizer/mo/ops/shape.py

66 lines
2.2 KiB
Python

# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from mo.graph.graph import Graph
from mo.middle.passes.convert_data_type import np_data_type_to_destination_type
from mo.ops.op import Op
from mo.utils.error import Error
class Shape(Op):
op = 'ShapeOf'
enabled = True
def __init__(self, graph: Graph, attrs: dict):
super().__init__(graph, {
'type': self.op,
'op': self.op,
'version': 'opset3',
'output_type': np.int64,
'infer': self.infer,
'type_infer': self.type_infer,
'in_ports_count': 1,
'out_ports_count': 1,
}, attrs)
def backend_attrs(self):
version = self.get_opset()
if version == 'opset3':
return [
('output_type', lambda node: np_data_type_to_destination_type(node.output_type)),
]
elif version == 'opset1':
return []
else:
raise Error('Unknown opset version "{}"'.format(version))
@staticmethod
def infer(node):
name = node.soft_get('name', node.id)
connected_in_ports = [port for port in node.in_ports().values() if not port.disconnected()]
assert len(connected_in_ports) == 1, \
'ShapeOf operation should have exact one input node, but it has {}'.format(len(connected_in_ports))
input_shape = node.in_port(0).data.get_shape()
assert input_shape is not None, \
'Input shape is undefined for ShapeOf node `{}`'.format(node.soft_get('name', node.id))
assert node.has_valid('output_type'), \
'`output_type` attribute is not set for ShapeOf node `{}`'.format(name)
assert node.output_type in [np.int64, np.int32], \
'ShapeOf `output_type` attribute must be int32 or int64, `{}` found'.format(np.dtype(node.output_type).name)
if node.has_and_set('stop_value_propagation'):
node.out_port(0).data.set_shape(input_shape.shape)
else:
node.out_port(0).data.set_value(np.array(input_shape, dtype=node.output_type))
@staticmethod
def type_infer(node):
node.out_port(0).set_data_type(node.output_type)