50 lines
2.2 KiB
Python
50 lines
2.2 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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from extensions.back.ScalarConstNormalize import ScalarNormalize
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from mo.back.replacement import BackReplacementPattern
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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.tf.graph_utils import create_op_node_with_second_input
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from mo.graph.graph import Graph
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from mo.ops.reshape import Reshape
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class NonMaximumSuppressionNormalizer(BackReplacementPattern):
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"""
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Converts NonMaximumSuppression layer to the V7 specification.
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"""
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enabled = True
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graph_condition = [lambda graph: graph.graph['cmd_params'].generate_deprecated_IR_V7]
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def run_before(self):
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return [ScalarNormalize]
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def find_and_replace_pattern(self, graph: Graph):
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for nms in graph.get_op_nodes(type='NonMaxSuppression'):
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mapping = {'corner': 0, 'center': 1}
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if graph.graph['cmd_params'].generate_deprecated_IR_V7:
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nms['center_point_box'] = mapping[nms.box_encoding]
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# change the 0D inputs to 1D with shape [1]
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for port_id in range(2, 5):
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if port_id in nms.in_ports() and not nms.in_port(port_id).disconnected():
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reshape_1d = create_op_node_with_second_input(graph, Reshape, int64_array([1]),
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{'name': nms.soft_get('name') +
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'/Reshape_1D'.format(port_id),
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'override_output_shape': True,
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})
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nms.in_port(port_id).get_connection().insert_node(reshape_1d)
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