If x is a multi-dimensional array, it is only shuffled along its first index. RandomAccessIterator shall point to a type for which swap is defined and swaps the value of its arguments. The standard solution to shuffle a list in Python is to use the shuffle() function from the random module. Randomly permute a sequence, or return a permuted range. This can either be a function pointer or a function object. ![]() dtype ( torch.dtype, optional) the desired data type of returned tensor. Parameters: n ( int) the upper bound (exclusive) Keyword Arguments: generator ( torch.Generator, optional) a pseudorandom number generator for sampling out ( Tensor, optional) the output tensor. Call random.shuffle(list) to randomize the order of the elements in the list after importing the random module with import random. The function shall return a non-negative value less than its argument. Returns a random permutation of integers from 0 to n - 1. gen Unary function taking one argument and returning a value, both convertible to/from the appropriate difference type used by the iterators. New code should use the permutation method of a Generator instance instead please see the Quick Start. If x is an array, make a copy and shuffle the elements randomly. If x is an integer, randomly permute np.arange (x). The range used is [first,last), which contains all the elements between first and last, including the element pointed by first but not the element pointed by last. Randomly permute a sequence, or return a permuted range. Parameters first, last Random-access iterators to the initial and final positions of the sequence to be shuffled. ![]() Void random_shuffle (RandomAccessIterator first, RandomAccessIterator last,
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