值错误：高 <= 0 ，LTSM

运行以下命令时：

def batch_generator(batch_size, sequence_length):

'''Generator function for creating random batches of training-data.'''


# Infinite loop.
while True:
    # Allocate a new array for the batch of input-signals.
    x_shape = (batch_size, sequence_length, num_x_signals)
    x_batch = np.zeros(shape=x_shape, dtype=np.float16)

    # Allocate a new array for the batch of output-signals.
    y_shape = (batch_size, sequence_length, num_y_signals)
    y_batch = np.zeros(shape=y_shape, dtype=np.float16)

    # Fill the batch with random sequences of data.
    for i in range(batch_size):
        # Get a random start-index.
        # This points somewhere into the training-data.
        idx = np.random.randint(num_train - sequence_length)
        
        # Copy the sequences of data starting at this index.
        x_batch[i] = x_train_scaled[idx:idx+sequence_length]
        y_batch[i] = y_train_scaled[idx:idx+sequence_length]
    
    yield (x_batch, y_batch)
batch_size = 256
sequence_length = 2 * 7 * 8

generator = batch_generator(batch_size=batch_size,
                            sequence_length=2 * 7 * 8)

x_batch, y_batch = next(generator)

此代码块返回 ValueError: high <= 0

这是我收到的错误：

ValueError Traceback (最近一次调用最后) ~\AppData\Local\Temp/ipykernel_11424/2071659211.py in ----> 1 x_batch, y_batch = next(generator)

~\AppData\Local\Temp/ipykernel_11424/1112051746.py in batch_generator(batch_size, sequence_length) 18 # Get a random start-index. 19 # This points somewhere into the training-data. ---> 20 idx = np.random.randint(num_train - sequence_length) 21 22 # Copy the sequences of data starting at this index.

mtrand.pyx in numpy.random.mtrand.RandomState.randint()

_bounded_integers.pyx in numpy.random._bounded_integers._rand_int32()

ValueError: high <= 0