62 lines
2.4 KiB
Python
62 lines
2.4 KiB
Python
"""
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Copyright (c) 2019 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 Graph
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from mo.graph.perm_inputs import PermuteInputs
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from mo.ops.op import Op
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class Transpose(Op):
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op = 'Transpose'
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enabled = True
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'type': __class__.op,
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'op': __class__.op,
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'infer': self.infer,
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'force_precision_in_ports': {1: 'int64'},
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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):
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# order parameter calculation and checks
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in_ports = node.in_ports()
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connected_ports = [port for port in in_ports.values() if not port.disconnected()]
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input_shape = node.in_port(0).data.get_shape()
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if node.has_and_set('reverse_order'):
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assert len(connected_ports) == 1 and 0 in in_ports, \
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'Cannot infer `{}` due to both order and reverse_order was set'.format(node.soft_get('name'))
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order = np.arange(len(input_shape))[::-1] # Reverse order
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else:
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assert len(connected_ports) == 2 and 0 in in_ports and 1 in in_ports, \
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"{} node `{}` should have 2 input ports, where 0-input is a data input and 1-input represents " \
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"Transpose `order`".format(node.op, node.id)
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order = node.in_port(1).data.get_value()
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assert order is not None, 'Cannot infer `{}` because order is None'.format(node.soft_get('name'))
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PermuteInputs().set_input_permutation(node.in_node(1), node, 'input:0', 'order')
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# setting shape and value if applicable
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node.out_port(0).data.set_shape(input_shape[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=order))
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