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"""
Copyright (c) 2018 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.graph.graph import Node
def roipooling_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
num = shapes[1][0]
height = node.pooled_h
width = node.pooled_w
if node.has_valid('framework') and node['framework'] == 'tensorflow':
channels = shapes[0][3]
node.out_node().shape = np.array([num, height, width, channels])
else:
channels = shapes[0][1]
node.out_node().shape = np.array([num, channels, height, width])
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