30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import numpy as np
|
|
|
|
from mo.front.common.replacement import FrontReplacementPattern
|
|
from mo.graph.graph import Graph
|
|
from mo.ops.const import Const
|
|
|
|
|
|
class ScatterNormalizer(FrontReplacementPattern):
|
|
enabled = True
|
|
|
|
def find_and_replace_pattern(self, graph: Graph):
|
|
for node in graph.get_op_nodes(is_scatter=True):
|
|
name = node.soft_get('name', node.id)
|
|
input_ports_count = len([port for port in node.in_ports().values() if not port.disconnected()])
|
|
has_axis = node.has_valid('axis')
|
|
|
|
if has_axis:
|
|
assert input_ports_count == 3, \
|
|
'{} node {} has unexpected number of input ports {}'.format(node.op, name, input_ports_count)
|
|
const = Const(graph, {'name': name + '/axis', 'value': np.int64(node.axis)}).create_node()
|
|
node.add_input_port(3, skip_if_exist=True)
|
|
node.in_port(3).connect(const.out_port(0))
|
|
del node['axis']
|
|
else:
|
|
assert input_ports_count == 4, \
|
|
'{} node {} has unexpected number of input ports {}'.format(node.op, name, input_ports_count)
|