def data_generator(T, mem_length, b_size):
    """
    Generate data for the copying memory task

    :param T: The total blank time length
    :param mem_length: The length of the memory to be recalled
    :param b_size: The batch size
    :return: Input and target data tensor
    """
    seq = torch.from_numpy(np.random.randint(1, 9, size=(b_size, mem_length))).float()
    zeros = torch.zeros((b_size, T))
    marker = 9 * torch.ones((b_size, mem_length + 1))
    placeholders = torch.zeros((b_size, mem_length))

    x = torch.cat((seq, zeros[:, :-1], marker), 1)
    y = torch.cat((placeholders, zeros, seq), 1).long()

    x, y = Variable(x), Variable(y)
    return x, y

    Generate data for the copying memory task

    :param T: The total blank time length
    :param mem_length: The length of the memory to be recalled
    :param b_size: The batch size
    :return: Input and target data tensor
    
TCN/copy_memory/utils.py