Mojo module

reduction

Implements SIMD reductions.

You can import these APIs from the algorithm package. For example:

from algorithm import map_reduce

Functions

all_true: Returns True if all the elements in a buffer are True and False otherwise.
any_true: Returns True if any the elements in a buffer are True and False otherwise.
cumsum: Computes the cumulative sum of all elements in a buffer. dst[i] = src[i] + src[i-1] + ... + src[0].
map_reduce: Stores the result of calling input_gen_fn in dst and simultaneously reduce the result using a custom reduction function.
max: Computes the max element in a buffer.
mean: Computes the mean value of the elements in a buffer.
min: Computes the min element in a buffer.
none_true: Returns True if none of the elements in a buffer are True and False otherwise.
product: Computes the product of the buffer elements.
reduce: Computes a custom reduction of buffer elements.
reduce_boolean: Computes a bool reduction of buffer elements. The reduction will early exit if the continue_fn returns False.
sum: Computes the sum of buffer elements.
variance: Given a mean, computes the variance of elements in a buffer.