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Intel (R) MKL-powered package for sampling from common probability distributions into NumPy arrays.

copied from pytorch-nightly / mkl_random

Installers

  • linux-64 v1.2.2
  • osx-64 v1.2.2

conda install

To install this package run one of the following:
conda install pytorch-test::mkl_random

Description

NumPy-based implementation of random number generation sampling using Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices of sampling algorithms available in MKL.


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