code: def tf_ispecgram(
      spec,
      n_fft=512,
      hop_length=None,
      mask=True,
      pad=True,
      log_mag=True,
      re_im=False,
      dphase=True,
      mag_only=False,
      num_iters=1000,
  ):
      """Inverted Specgram tensorflow op (uses pyfunc)."""
      dims = spec.get_shape().as_list()
      # Add back in nyquist frequency
      if pad:
          x = tf.concat(
              [spec, tf.zeros([dims[0], 1, dims[2], dims[3]])], 1
          )
      else:
          x = spec
      audio = tf.py_func(
          batch_ispecgram,
          [
              x,
              n_fft,
              hop_length,
              mask,
              log_mag,
              re_im,
              dphase,
              mag_only,
              num_iters,
          ],
          tf.float32,
      )
      return audio
  
imports: import importlib
  import os
  import librosa
  import numpy
  import tensorflow.compat.v1
  import tf_slim
label_desc: Use image node_id 16 for calling a global function with example usage: tf_ispecgram(spec, n_fft, hop_length, mask, pad, log_mag, re_im, dphase, mag_only, num_iters) and returns: audio