def batch_generator(batch_size, sequence_length):
    while True:
        x_shape = (batch_size, sequence_length, num_x_signals)
        x_batch = np.zeros(shape=x_shape, dtype=np.float16)

        y_shape = (batch_size, sequence_length, num_y_signals)
        y_batch = np.zeros(shape=y_shape, dtype=np.float16)

        for i in range(batch_size):
          x_batch[i] = x_train_scaled[:sequence_length]
            y_batch[i] = y_train_scaled[:sequence_length]

        x_batch_1 = x_batch[ :, :, 0:5]
        x_batch_2 = x_batch[ :, :, 5:12]
        yield ([x_batch_1, x_batch_2], y_batch)