class_docstr: Calculates delta, a local estimate of the derivative along time axis.
  See torchaudio.functional.compute_deltas or librosa.feature.delta for more details.
  
  Args:
      win_length (int): Window length of the derivative estimation. Defaults to 5
      mode (`str`): Specifies pad mode of `tf.pad`. Case-insensitive. Defaults to 'symmetric'.
          Can be 'symmetric', 'reflect', 'constant', or whatever `tf.pad` supports.
  
  Example:
      ::
  
          input_shape = (2048, 1)  # mono signal
          model = Sequential()
          model.add(kapre.STFT(n_fft=1024, hop_length=512, input_shape=input_shape))
          model.add(kapre.Magnitude())
          model.add(Delta())
          # (batch, n_frame=3, n_freq=513, ch=1) and dtype is float
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code: def get_config(self):
      config = super(Delta, self).get_config()
      config.update(
          {
              "win_length": self.win_length,
              "mode": self.mode,
              "data_format": self.data_format,
          }
      )
  
      return config
  
imports: import tensorflow
  from tensorflow.keras import backend
  from tensorflow.keras.layers import Layer
  from .None import backend
  from .backend import _CH_FIRST_STR, _CH_LAST_STR, _CH_DEFAULT_STR
  from .tflite_compatible_stft import atan2_tflite
label_desc: Use image node_id 3 for calling the Delta obj's underlying member method code with example usage: obj.get_config() and returns: config