97 lines
3.3 KiB
Python
97 lines
3.3 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.front.common.layout import get_batch_dim, shape_for_layout
|
|
from mo.graph.graph import Node, Graph
|
|
from mo.ops.op import Op
|
|
|
|
|
|
class PSROIPoolingOp(Op):
|
|
op = 'PSROIPooling'
|
|
enabled = False
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
'type': __class__.op,
|
|
'op': __class__.op,
|
|
'version': 'opset2',
|
|
'mode': 'average',
|
|
'in_ports_count': 2,
|
|
'out_ports_count': 1,
|
|
'trans_std': 0,
|
|
'no_trans': True,
|
|
'infer': PSROIPoolingOp.psroipooling_infer
|
|
}
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
def supported_attrs(self):
|
|
attrs = [
|
|
'spatial_scale',
|
|
'output_dim',
|
|
('group_size', lambda node: int(node.group_size)),
|
|
'mode',
|
|
'spatial_bins_x',
|
|
'spatial_bins_y',
|
|
'pooled_width',
|
|
'pooled_height',
|
|
]
|
|
if not self.graph.graph['cmd_params'].generate_experimental_IR_V10:
|
|
attrs.extend(['no_trans', 'trans_std', 'part_size'])
|
|
return attrs
|
|
|
|
@staticmethod
|
|
def psroipooling_infer(node: Node):
|
|
"""
|
|
Sets shape of output node according specified parameters input blobs and node
|
|
Sets number from the first input blob, channels from the second one, height and width are specified
|
|
Parameters
|
|
----------
|
|
node
|
|
"""
|
|
shapes = [node.in_node(i).shape for i in range(len(node.in_nodes()))]
|
|
if any(s is None for s in shapes):
|
|
return
|
|
layout = node.graph.graph['layout']
|
|
assert len(layout) == 4
|
|
assert node.has_valid('group_size')
|
|
assert node.group_size == int(node.group_size)
|
|
node['group_size'] = int(node['group_size'])
|
|
node.out_node().shape = shape_for_layout(layout,
|
|
batch=shapes[1][get_batch_dim(layout, 4)],
|
|
features=node.output_dim,
|
|
height=node.group_size,
|
|
width=node.group_size)
|
|
|
|
|
|
class DeformablePSROIPoolingOp(PSROIPoolingOp):
|
|
op = 'DeformablePSROIPooling'
|
|
enabled = False
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
updated_attrs = {
|
|
'type': __class__.op,
|
|
'op': __class__.op,
|
|
'version': 'opset1',
|
|
'mode': 'bilinear_deformable',
|
|
'in_ports_count': 3,
|
|
'trans_std': 0,
|
|
}
|
|
updated_attrs.update(attrs)
|
|
super().__init__(graph, updated_attrs)
|
|
|
|
def supported_attrs(self):
|
|
return super().supported_attrs() + ['trans_std', 'part_size']
|