50 lines
2.0 KiB
Python
50 lines
2.0 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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from extensions.ops.ReduceOps import ReduceSum
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from extensions.ops.elementwise import Pow
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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
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from mo.middle.replacement import MiddleReplacementPattern
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from mo.ops.reshape import Reshape
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class ReplacePNormNodePattern(MiddleReplacementPattern):
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"""
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PNorm operation should be replaced by operations: Power(P) -> Reshape(n,c*g->n,g,c)-> ReduceSum(axis=1)-> Power(1/P)
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"""
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enabled = True
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@staticmethod
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def pattern():
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return dict(
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nodes=[('op', dict(op='pnorm'))],
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edges=[])
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@staticmethod
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def replace_pattern(graph: Graph, match: dict):
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node = match['op']
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shape = node.in_port(0).data.get_shape().copy()
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assert shape[1] % node.group == 0
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power_node = create_op_node_with_second_input(graph, Pow, node.p, {'name': node.id + '_power'})
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reshape_node = create_op_node_with_second_input(graph, Reshape,
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int64_array([shape[0], shape[1] / node.group, node.group]),
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{'name': node.id + '_reshape'})
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reshape_node.in_port(0).connect(power_node.out_port(0))
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reducesum_node = create_op_node_with_second_input(graph, ReduceSum,
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int64_array([2]),
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{'name': node.id + '_sum', 'keep_dims': False})
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reducesum_node.in_port(0).connect(reshape_node.out_port(0))
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invpower_node = create_op_node_with_second_input(graph, Pow, 1.0 / node.p, {'name': node.id + '_invpower'})
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invpower_node.in_port(0).connect(reducesum_node.out_port(0))
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node.in_port(0).get_connection().set_destination(power_node.in_port(0))
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node.out_port(0).get_connection().set_source(invpower_node.out_port(0))
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