43 lines
1.7 KiB
Python
43 lines
1.7 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.front.common.replacement import FrontReplacementPattern
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from mo.graph.graph import Graph
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from mo.ops.const import Const
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class ScatterNormalizer(FrontReplacementPattern):
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enabled = True
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def find_and_replace_pattern(self, graph: Graph):
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for node in graph.get_op_nodes(is_scatter=True):
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name = node.soft_get('name', node.id)
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input_ports_count = len([port for port in node.in_ports().values() if not port.disconnected()])
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has_axis = node.has_valid('axis')
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if has_axis:
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assert input_ports_count == 3, \
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'{} node {} has unexpected number of input ports {}'.format(node.op, name, input_ports_count)
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const = Const(graph, {'name': name + '/axis', 'value': np.int64(node.axis)}).create_node()
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node.add_input_port(3, skip_if_exist=True)
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node.in_port(3).connect(const.out_port(0))
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del node['axis']
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else:
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assert input_ports_count == 4, \
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'{} node {} has unexpected number of input ports {}'.format(node.op, name, input_ports_count)
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