(self, feat, order, window)
return delta_delta
Caculate delta of feats.
    :param feat: a float tensor of size (num_frames, dim_feat).
    :param order: an int.
    :param window: an int.
    :return: A tensor with shape (num_frames, dim_feats, order + 1),
        containing delta of features of every frame in speech.
Caculate delta of feats.
    :param feat: a float tensor of size (num_frames, dim_feat).
    :param order: an int.
    :param window: an int.
    :return: A tensor with shape (num_frames, dim_feats, order + 1),
        containing delta of features of every frame in speech.
Caculate delta of feats . : param feat : a float tensor of size ( num_frames dim_feat ) . : param order : an int . : param window : an int . : return : A tensor with shape ( num_frames dim_feats order + 1 ) containing delta of features of every frame in speech .
def call(self, feat, order, window):
    """
    Caculate delta of feats.
    :param feat: a float tensor of size (num_frames, dim_feat).
    :param order: an int.
    :param window: an int.
    :return: A tensor with shape (num_frames, dim_feats, order + 1),
        containing delta of features of every frame in speech.
    """

    p = self.config
    with tf.name_scope('delta_delta'):
      delta_delta = py_x_ops.delta_delta(feat, order, window)

    n_frame, n_feats = feat.get_shape().as_list()
    delta_delta = tf.reshape(delta_delta, (n_frame, n_feats, order + 1))

    return delta_delta
def call ( self , feat , order , window ) : p = self . config with tf . name_scope ( 'delta_delta' ) : delta_delta = py_x_ops . delta_delta ( feat , order , window ) n_frame , n_feats = feat . get_shape ( ) . as_list ( ) delta_delta = tf . reshape ( delta_delta , ( n_frame , n_feats , order + 1 ) ) return delta_delta