46 lines
1.5 KiB
Python
46 lines
1.5 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.graph.graph import Node, Graph
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from mo.ops.op import PermuteAttrs, Op
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class SwapAxis(Op):
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op = 'SwapAxis'
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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': __class__.op,
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'infer': __class__.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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@staticmethod
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def infer(node: Node):
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node['order'] = list(range(node.in_node().shape.size))
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node.order[node.dim2], node.order[node.dim1] = node.order[node.dim1], node.order[node.dim2]
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input_shape = node.in_port(0).data.get_shape().copy()
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node.out_port(0).data.set_shape(input_shape[node.order])
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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.transpose(node.in_port(0).data.get_value(), axes=node.order))
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PermuteAttrs.create_permute_attrs(node, attrs=[('order', 'input:0')])
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