code: def rrelu(
      input, lower=1.0 / 8, upper=1.0 / 3, training=False, inplace=False
  ):
      if training:
          # alpha = ivy.random_uniform(low=lower, high=upper)
          # ToDo implement alpha correctly after fixing ivy.random_uniform
          pass
      else:
          alpha = (lower + upper) / 2
      return ivy.subtract(
          ivy.relu(input),
          ivy.multiply(alpha, ivy.relu(ivy.negative(input))),
      )
  
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 24 for calling a global function with example usage: rrelu(input, lower, upper, training, inplace) and returns: ivy