openvino/model-optimizer/extensions/middle/AttributedTileNormalizer.py

42 lines
1.3 KiB
Python

# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from mo.front.common.partial_infer.utils import int64_array
from mo.graph.graph import Graph
from mo.middle.replacement import MiddleReplacementPattern
from mo.ops.const import Const
from mo.ops.tile import Tile
class AttributedTileNormalizer(MiddleReplacementPattern):
enabled = True
@staticmethod
def pattern():
return dict(
nodes=[
('tile', dict(op='AttributedTile', axis=lambda x: x is not None, tiles=lambda x: x is not None))],
edges=[]
)
def replace_pattern(self, graph: Graph, match: dict):
node = match['tile']
name = node.soft_get('name', node.id)
axis = node.axis
tiles = node.tiles
input_shape = node.in_port(0).data.get_shape()
assert input_shape is not None
tiles_input_value = int64_array(np.ones(input_shape.size))
tiles_input_value[axis] = tiles
const = Const(graph, {'value': tiles_input_value, 'name': name + '/tiles'}).create_node()
tile = Tile(graph, {'name': name}).create_node()
node.out_port(0).get_connection().set_source(tile.out_port(0))
node.in_port(0).get_connection().set_destination(tile.in_port(0))
const.out_port(0).connect(tile.in_port(1))