class_docstr: Energy extractor.
code: def _adjust_num_frames(
      x: torch.Tensor, num_frames: torch.Tensor
  ) -> torch.Tensor:
      if num_frames > len(x):
          x = F.pad(x, (0, num_frames - len(x)))
      elif num_frames < len(x):
          x = x[:num_frames]
      return x
  
file_path: espnet/espnet2/tts/feats_extract/energy.py
imports: from typing import Any, Dict, Tuple, Union
  import humanfriendly
  import torch
  import torch.nn.functional
  from typeguard import check_argument_types
  from espnet2.layers.stft import Stft
  from espnet2.tts.feats_extract.abs_feats_extract import AbsFeatsExtract
  from espnet.nets.pytorch_backend.nets_utils import pad_list
label_desc: Use image node_id 6 for calling the Energy obj's underlying member method code with example usage: obj._adjust_num_frames(x, num_frames) and returns: x