102 lines
3.7 KiB
Python
102 lines
3.7 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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from mo.front.common.partial_infer.utils import int64_array
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from mo.graph.graph import Node, Graph
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from mo.graph.perm_inputs import PermuteInputs
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from mo.ops.op import Op, PermuteAttrs
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class Tile(Op):
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op = 'Tile'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'op': self.op,
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'type': self.op,
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'version': 'opset1',
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'infer': self.infer,
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'in_ports_count': 2,
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'out_ports_count': 1,
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}, attrs)
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@staticmethod
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def infer(node: Node):
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name = node.soft_get('name', node.id)
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connected_in_ports = {idx: port for idx, port in node.in_ports().items() if not port.disconnected()}
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assert len(connected_in_ports) == 2 and 0 in connected_in_ports and 1 in connected_in_ports, \
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"Tile should have 2 connected input port, but it doesn't for node: `{}`. Ports: {}" \
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"".format(name, connected_in_ports)
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shape = node.in_port(0).data.get_shape()
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assert shape is not None, "Undefined input shape for Tile node '{}'.".format(name)
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tile_array = node.in_port(1).data.get_value()
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assert tile_array is not None, "Undefined `repeats` (1st port input value) of Tile node '{}'".format(name)
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# align ranks of the tile_array tensor and input shape node
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if shape.size < tile_array.size:
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shape = np.insert(shape, 0, [1] * (tile_array.size - shape.size))
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elif shape.size > tile_array.size:
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tile_array = np.insert(tile_array, 0, [1] * (shape.size - tile_array.size))
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if node.in_port(0).data.get_value() is not None:
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node.out_port(0).data.set_value(np.tile(node.in_port(0).data.get_value().reshape(shape), tile_array))
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else:
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node.out_port(0).data.set_shape(shape * tile_array)
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PermuteInputs().set_input_permutation(node.in_node(1), node, 'input:0', 'shape')
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class AttributedTile(Op):
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op = 'AttributedTile'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'op': self.op,
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'type': 'Tile',
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'version': 'opset1',
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'infer': self.infer,
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'in_ports_count': 1,
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'out_ports_count': 1,
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}, attrs)
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assert 'axis' in self.attrs
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assert 'tiles' in self.attrs
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def supported_attrs(self):
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return ['axis', 'tiles']
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@staticmethod
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def infer(node):
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name = node.soft_get('name', node.id)
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connected_in_ports = {idx: port for idx, port in node.in_ports().items() if not port.disconnected()}
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assert len(connected_in_ports) == 1 and 0 in connected_in_ports, \
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"AttributedTile should have 1 connected input port, but it doesn't for node: `{}`. Ports: {}" \
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"".format(name, connected_in_ports)
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shape = node.in_port(0).data.get_shape()
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assert shape is not None, "Undefined input shape for AttributedTile node '{}'.".format(name)
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axis = node.soft_get('axis', None)
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assert axis is not None
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tiles = node.soft_get('tiles', None)
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assert tiles is not None, "Undefined `tiles` attribute of Tile node '{}'".format(name)
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tile_array = int64_array(np.ones(shape.size))
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tile_array[node.axis] = node.tiles
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node.out_port(0).data.set_shape(shape * tile_array)
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if node.in_port(0).data.get_value() is not None:
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node.out_port(0).data.set_value(np.tile(node.in_port(0).data.get_value(), tile_array))
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PermuteAttrs.create_permute_attrs(node, attrs=[('axis', 'input:0')])
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