text: # Copyright (C) 2018-2021 Intel Corporation
  # SPDX-License-Identifier: Apache-2.0
  
  from openvino.tools.mo.back.ForceStrictPrecision import ForceStrictPrecision
  from openvino.tools.mo.ops.prelu import PReLU
  from openvino.tools.mo.back.replacement import BackReplacementPattern
  from openvino.tools.mo.front.common.partial_infer.utils import mo_array
  from openvino.tools.mo.graph.graph import Graph, rename_node
  from openvino.tools.mo.ops.const import Const
  
  
  class LeakyReLUMutation(BackReplacementPattern):
      enabled = True
      force_clean_up = True
  
      def run_before(self):
          return [ForceStrictPrecision]
  
      @staticmethod
      def pattern():
          return dict(
              nodes=[('leakyrelu', dict(kind='op', op='LeakyReLU'))],
              edges=[],
          )
  
      @staticmethod
      def replace_pattern(graph: Graph, match: dict):
          relu = match['leakyrelu']
          relu_name = relu.soft_get('name', relu.id)
          if not relu.has_valid('negative_slope'):
              return
  
          rename_node(relu, relu_name + '/to_delete')
          # Create PReLU op and reconnect input/output from LeakyReLU to PReLU
          prelu = PReLU(graph, dict(name=relu_name)).create_node()
          rename_node(prelu, relu_name)
  
          const = Const(graph, dict(name=relu_name + "/weights", value=mo_array([relu.negative_slope]))).create_node()
  
          relu.in_port(0).get_connection().set_destination(prelu.in_port(0))
          const.out_port(0).connect(prelu.in_port(1))
          relu.out_port(0).get_connection().set_source(prelu.out_port(0))
  