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作者您好!,在读您的代码的时候,这段代码不理解。 batch_idx = np.mod(test, shuffled_order.shape[0]) 其中test代表每次训练数据块的索引。 shuffled_order.shape[0]代表整个训练集的乱序索引。它们取模表示什么? 谢谢!
The text was updated successfully, but these errors were encountered:
test = np.arange(100000, 110000) np.mod(test, 80000)
array([20000, 20001, 20002, ..., 29997, 29998, 29999]) 当 test 超过shuffled_order.shape[0],这样能知道到shuffled_order什么地方拿data
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作者您好!,在读您的代码的时候,这段代码不理解。
batch_idx = np.mod(test, shuffled_order.shape[0])
其中test代表每次训练数据块的索引。
shuffled_order.shape[0]代表整个训练集的乱序索引。它们取模表示什么?
谢谢!
The text was updated successfully, but these errors were encountered: