54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import numpy as np
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from mo.ops.op import Op
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class ExperimentalDetectronPriorGridGenerator(Op):
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op = 'ExperimentalDetectronPriorGridGenerator'
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def __init__(self, graph, attrs):
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mandatory_props = dict(
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type=__class__.op,
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op=__class__.op,
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version='experimental',
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infer=__class__.infer,
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)
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super().__init__(graph, mandatory_props, attrs)
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def backend_attrs(self):
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return [
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'flatten',
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'h',
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'w',
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'stride_x',
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'stride_y',
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]
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@staticmethod
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def infer(node):
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input_shape = node.in_node(0).shape
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priors_num = input_shape[0]
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grid_h = node.in_node(1).shape[2]
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grid_w = node.in_node(1).shape[3]
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if node.flatten:
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out_shape = np.array([grid_h * grid_w * priors_num, 4], dtype=np.int64)
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else:
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out_shape = np.array([grid_h, grid_w, priors_num, 4], dtype=np.int64)
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node.out_node(0).shape = out_shape
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