autograd 1.5-foss-2021bAutograd can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily. The main intended application of Autograd is gradient-based optimization.
Accessing autograd 1.5-foss-2021b
To load the module for autograd 1.5-foss-2021b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load autograd/1.5-foss-2021b
BEAR Apps Version
For more information visit the autograd website.
Last modified on 30th November 2022