62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import numpy as np
|
|
|
|
from mo.front.common.partial_infer.utils import unmask_shape
|
|
from mo.graph.graph import Graph, Node
|
|
from mo.middle.passes.convert_data_type import np_data_type_to_destination_type
|
|
from mo.ops.op import Op, PermuteAttrs
|
|
|
|
|
|
class Parameter(Op):
|
|
op = 'Parameter'
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
'op': self.op,
|
|
'type': self.op,
|
|
'version': 'opset1',
|
|
|
|
'infer': self.infer,
|
|
'reverse_infer': self.reverse_infer,
|
|
'is_input': True,
|
|
'data_type': None,
|
|
|
|
'type_infer': self.type_infer,
|
|
|
|
'out_ports_count': 1,
|
|
}
|
|
if 'data_type' not in attrs:
|
|
mandatory_props['data_type'] = np.float32
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
@staticmethod
|
|
def type_infer(node):
|
|
node.out_port(0).set_data_type(node.data_type)
|
|
|
|
def supported_attrs(self):
|
|
return [
|
|
('shape', lambda node: ','.join([str(i) for i in unmask_shape(node.shape)])),
|
|
('element_type', lambda node: np_data_type_to_destination_type(node.data_type)),
|
|
]
|
|
|
|
@staticmethod
|
|
def infer(node):
|
|
name = node.soft_get('name', node.id)
|
|
assert node.has_valid('shape'), \
|
|
'Parameter node {} should have `shape` attribute. Please use cli options to set model input shape' \
|
|
''.format(name)
|
|
node.out_port(0).data.set_shape(node.shape)
|
|
|
|
PermuteAttrs.create_permute_attrs(node, attrs=[('shape', 'output:0')])
|
|
|
|
@staticmethod
|
|
def reverse_infer(node: Node):
|
|
# update node 'shape' attribute (if it is not defined) from the output port shape which was calculated
|
|
# during the reverse_infer phase
|
|
shape = node.soft_get('shape', None)
|
|
if shape is None and node.out_port(0).data.get_shape() is not None:
|
|
node['shape'] = node.out_port(0).data.get_shape()
|
|
|