60 lines
2.3 KiB
Python
60 lines
2.3 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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from extensions.back.Reshape0DToSqueeze import Reshape0DToSqueeze
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from extensions.back.ScalarConstNormalize import ScalarNormalize
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from mo.back.replacement import BackReplacementPattern
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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.tf.graph_utils import create_op_node_with_second_input
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from mo.graph.graph import Graph, Node
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from mo.ops.reshape import Reshape
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from mo.ops.result import Result
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class TopKNormalizer(BackReplacementPattern):
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"""
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The transformation converts the second input to the TopK layer from 0D to 1D.
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Also the transformation adds the Result Op if there are no consumers of TopK outputs. However the Result for output
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with values is not added if the node has attribute 'remove_values_output' which is set to True for Caffe models
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where ArgMax does not have separate output with values.
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TODO this pass should be removed when IE supports 0D tensors.
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"""
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enabled = True
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def run_after(self):
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return [ScalarNormalize]
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def run_before(self):
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return [Reshape0DToSqueeze]
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@staticmethod
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def pattern():
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return dict(
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nodes=[('result', {'type': 'TopK'})],
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edges=[],
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)
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@staticmethod
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def replace_pattern(graph: Graph, match: dict):
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node = match['result']
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reshape = create_op_node_with_second_input(graph, Reshape, int64_array([]), {'override_output_shape': True})
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node.in_port(1).get_connection().insert_node(reshape)
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TopKNormalizer.normalize_outputs(node)
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@staticmethod
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def normalize_outputs(node: Node):
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"""
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This function adds missed outputs for TopK node.
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"""
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if node.out_port(0).disconnected():
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output = Result(node.graph, {'name': node.name + '/Result_port_0/',
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'keep_output_port': node.has_and_set('remove_values_output')}).create_node()
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node.out_port(0).get_connection().set_destination(output.in_port(0))
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if node.out_port(1).disconnected():
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output = Result(node.graph, {'name': node.name + '/Result_port_1/'}).create_node()
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node.out_port(1).get_connection().set_destination(output.in_port(0))
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