code: def _get_log_energy(
      strided_input: Tensor, epsilon: Tensor, energy_floor: float
  ) -> Tensor:
      r"""Returns the log energy of size (m) for a strided_input (m,*)"""
      device, dtype = strided_input.device, strided_input.dtype
      log_energy = torch.max(
          strided_input.pow(2).sum(1), epsilon
      ).log()  # size (m)
      if energy_floor == 0.0:
          return log_energy
      return torch.max(
          log_energy,
          torch.tensor(
              math.log(energy_floor), device=device, dtype=dtype
          ),
      )
  
imports: import math
  from typing import Tuple
  import torch
  import torchaudio
  from torch import Tensor
label_desc: Use image node_id 5 for calling a global function with example usage: _get_log_energy(strided_input, epsilon, energy_floor) and returns: torch, log_energy