47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
"""
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Copyright (c) 2018 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 networkx as nx
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import numpy as np
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from mo.graph.graph import Node
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from mo.ops.op import Op
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class Tile(Op):
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op = 'Tile'
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enabled = True
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def __init__(self, graph: nx.MultiDiGraph, attrs: dict):
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super().__init__(graph, {
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'kind': 'op',
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'type': __class__.op,
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'op': __class__.op,
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'infer': Tile.infer
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}, 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: Node):
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shape = node.in_node().shape
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if shape is None:
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return
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shape = np.copy(shape)
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shape[node.axis] = shape[node.axis] * node.tiles
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node.out_node().shape = shape
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