79 lines
2.7 KiB
Python
79 lines
2.7 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.
|
|
"""
|
|
|
|
import numpy as np
|
|
|
|
from mo.front.common.partial_infer.utils import int64_array
|
|
from mo.graph.graph import Node
|
|
from mo.ops.op import Op
|
|
from mo.utils.error import Error
|
|
|
|
|
|
class ExpandDims(Op):
|
|
"""
|
|
The ExpandDims layer adds dimensions with shape 1 to the specified positions. The positions is a layer attribute,
|
|
not a separate input.
|
|
"""
|
|
op = 'ExpandDims'
|
|
enabled = False
|
|
|
|
def __init__(self, graph, attrs: dict):
|
|
super().__init__(graph, {
|
|
'type': None,
|
|
'op': __class__.op,
|
|
'reinterp_shape': True,
|
|
'infer': __class__.infer,
|
|
'expand_axis': None,
|
|
'in_ports_count': 1,
|
|
'out_ports_count': 1,
|
|
}, attrs)
|
|
|
|
@staticmethod
|
|
def infer(node: Node):
|
|
input_node = node.in_nodes()[0]
|
|
output_node = node.out_node()
|
|
if input_node.shape is None:
|
|
return
|
|
|
|
assert len(node.in_nodes()) == 1, 'Wrong number of inputs to the layer {}'.format(node.soft_get('name'))
|
|
|
|
if not node.has_valid('expand_axis'):
|
|
raise Error('ExpandDims axis is not defined for node {}'.format(node.soft_get('name')))
|
|
|
|
expand_axes = node.expand_axis
|
|
if expand_axes is None:
|
|
raise Error('The "expand_axis" attribute is None for node "{}"'.format(node.soft_get('name')))
|
|
|
|
if isinstance(expand_axes, int):
|
|
expand_axes = int64_array([expand_axes])
|
|
elif expand_axes.ndim == 0:
|
|
expand_axes = expand_axes.reshape([1])
|
|
|
|
# expand_axis is a position where the new axis is placed so expand_dims works for negative axis in a different
|
|
# way not as insert operation
|
|
for expand_axis in expand_axes:
|
|
if expand_axis < 0:
|
|
expand_axis += len(input_node.shape) + 1
|
|
|
|
expand_axes = sorted(expand_axes)
|
|
|
|
for expand_axis in expand_axes:
|
|
output_node.shape = np.insert(input_node.shape, expand_axis, [1])
|
|
# convert data type of the shape to int64 explicitly
|
|
output_node.shape = output_node.shape.astype(np.int64)
|
|
if input_node.value is not None:
|
|
output_node.value = input_node.value.reshape(output_node.shape)
|