93 lines
3.4 KiB
Python
93 lines
3.4 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 Graph
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from mo.middle.passes.convert_data_type import np_data_type_to_destination_type
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from mo.ops.op import Op, PermuteAttrs
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from mo.utils.error import Error
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class TopK(Op):
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op = 'TopK'
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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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'version': 'opset3',
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'infer': self.infer,
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'type_infer': self.type_infer,
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'index_element_type': np.int32,
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'axis': None,
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'mode': 'max',
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'sort': 'none',
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'force_precision_in_ports': {
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1: 'int32'},
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'in_ports_count': 3,
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'out_ports_count': 2,
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}, attrs)
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def backend_attrs(self):
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version = self.get_opset()
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if version == 'opset3':
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return ['axis', 'mode', 'sort',
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('index_element_type', lambda node: np_data_type_to_destination_type(node.index_element_type))]
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elif version == 'opset1':
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return ['axis', 'mode', 'sort']
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else:
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raise Error('Unknown opset version "{}"'.format(version))
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@staticmethod
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def infer(node):
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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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assert len(connected_ports) == 2, 'The number of inputs to the TopK layer name "{}" must be equal to 2.' \
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''.format(node.soft_get('name'))
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k = node.in_port(1).data.get_value()
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if k is None:
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raise Error('The value defining number of output elements for layer "{}" is not defined'
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''.format(node.soft_get('name')))
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assert node.has_valid('axis'), 'The "axis" attribute is not defined for node {}'.format(node.name)
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input_shape = node.in_port(0).data.get_shape()
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node.axis = len(input_shape) + node.axis if node.axis < 0 else node.axis
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output_shape = input_shape.copy()
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output_shape[node.axis] = k
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PermuteAttrs.create_permute_attrs(node, attrs=[('axis', 'input:0')])
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# setting shape and value if applicable
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if not node.out_port(0).disconnected():
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node.out_port(0).data.set_shape(output_shape)
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if not node.out_port(1).disconnected():
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node.out_port(1).data.set_shape(output_shape)
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if node.in_port(0).data.get_value() is not None:
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# TODO implement value propagation
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pass
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@staticmethod
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def type_infer(node):
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node.out_port(0).set_data_type(node.in_port(0).get_data_type())
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if node.get_opset() == 'opset3':
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node.out_port(1).set_data_type(node.index_element_type)
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else:
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node.out_port(1).set_data_type(np.int32)
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