yield from torch.randperm(n, generator=generator).tolist() MemoryError

这个错误通常表示在尝试生成长度为n的随机排列时，内存不足。这可能是因为n太大，导致了随机排列的列表过大，无法被计算机内存所容纳。

为了解决这个问题，你可以考虑以下几种方法：

1. 减小n的值，或者使用更小的数据集来测试代码；
2. 优化代码，例如使用生成器而不是列表等；
3. 增加计算机内存，例如使用更高配置的计算机或者云服务。

如果仍然无法解决问题，建议你查看其他相关错误提示或者调用堆栈信息，以便更好地定位问题所在。

相关问题

Write a generator that outputs the hailstone sequence from hw01. Here's a quick reminder of how the hailstone sequence is defined: Pick a positive integer n as the start. If n is even, divide it by 2. If n is odd, multiply it by 3 and add 1. Continue this process until n is 1. For some extra practice, try writing a solution using recursion. Since hailstone returns a generator, you can yield from a call to hailstone!

Sure! Here's an implementation of the `hailstone` generator function:

def hailstone(n):
    yield n
    while n != 1:
        n = n // 2 if n % 2 == 0 else 3 * n + 1
        yield n

This generator function takes a positive integer `n` as the start of the hailstone sequence, and generates each subsequent number in the sequence until it reaches 1.

The function first yields the starting number `n`, and then enters a loop that continues until `n` is equal to 1. In each iteration of the loop, the function computes the next number in the sequence based on whether `n` is even or odd, and yields that number. If `n` is even, the function divides it by 2 using integer division (`//`). If `n` is odd, the function multiplies it by 3 and adds 1.

Here's an example usage of this generator function:

>>> list(hailstone(10))
[10, 5, 16, 8, 4, 2, 1]

This example generates the hailstone sequence starting from 10, which is `[10, 5, 16, 8, 4, 2, 1]`. The `list` function is used to consume all the elements of the generator and return them as a list.