code: def _piecewise_linear_log(x):
      x[x > math.e] = torch.log(x[x > math.e])
      x[x <= math.e] = x[x <= math.e] / math.e
      return x
  
imports: import json
  import math
  from abc import ABC, abstractmethod
  from dataclasses import dataclass
  from functools import partial
  from typing import Callable, List, Tuple
  import torch
  import torchaudio
  from torchaudio._internal import module_utils
  from torchaudio.models import emformer_rnnt_base, RNNT, RNNTBeamSearch
label_desc: Use image node_id 1 for calling a global function with example usage: _piecewise_linear_log(x) and returns: x