【发布时间】：2022-12-17 16:42:51
【问题描述】：
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（最近的调用 最后) ~\AppData\Local\Temp/ipykernel_11424/2071659211.py 中 ----> 1 x_batch, y_batch = next(generator)
~\AppData\Local\Temp/ipykernel_11424/1112051746.py 中 batch_generator（batch_size，sequence_length） 18 # 获取一个随机的起始索引。 19 # 这指向训练数据的某处。 ---> 20 idx = np.random.randint(num_train - sequence_length) 21 22 # 复制从该索引开始的数据序列。
numpy.random.mtrand.RandomState.randint() 中的 mtrand.pyx
_bounded_integers.pyx 在 numpy.random._bounded_integers._rand_int32()
值错误：高 <= 0
【问题讨论】：
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如需调试帮助，您需要创建一个minimal reproducible example，包括完整但最少的代码和预期输出。在这里，
256 sequence_length是无效语法，yield (x_batch, y_batch)之后的所有内容看起来都缩进了一级。同样，这些名称未定义：num_x_signals, num_y_signals, num_train, x_train_scaled, y_train_scaled，加上import numpy as np。顺便说一句，欢迎来到 Stack Overflow！如果您需要更多提示，请查看tour 和How to Ask。 -
请使用代码格式化错误。块引用格式打乱了对齐方式。