def METHOD_NAME(self):
    paddle.set_device('cpu')
    self.batch_size = 2
    self.feat_dim = 83
    self.max_len = 64
    self.vocab_size = 4239
    #(B, T, D)
    audio = np.random.randn(self.batch_size, self.max_len, self.feat_dim)
    audio_len = np.random.randint(self.max_len, size=self.batch_size)
    audio_len[-1] = self.max_len
    #(B, U)
    text = np.array([[1, 2], [1, 2]])
    text_len = np.array([2] * self.batch_size)
    self.audio = paddle.to_tensor(audio, dtype='float32')
    self.audio_len = paddle.to_tensor(audio_len, dtype='int64')
    self.text = paddle.to_tensor(text, dtype='int32')
    self.text_len = paddle.to_tensor(text_len, dtype='int64')