code: def batch_ispecgram(
      spec,
      n_fft=512,
      hop_length=None,
      mask=True,
      log_mag=True,
      re_im=False,
      dphase=True,
      mag_only=False,
      num_iters=1000,
  ):
      """Computes inverse specgram in a batch."""
      assert len(spec.shape) == 4
      batch_size = spec.shape[0]
      res = []
      for b in range(batch_size):
          res.append(
              ispecgram(
                  spec[b, :, :, :],
                  n_fft,
                  hop_length,
                  mask,
                  log_mag,
                  re_im,
                  dphase,
                  mag_only,
                  num_iters,
              )
          )
      return np.array(res)
  
imports: import importlib
  import os
  import librosa
  import numpy
  import tensorflow.compat.v1
  import tf_slim
label_desc: Use image node_id 14 for calling a global function with example usage: batch_ispecgram(spec, n_fft, hop_length, mask, log_mag, re_im, dphase, mag_only, num_iters) and returns: np