There is a newer version of autogradAutograd 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 1.4-foss-2021a
To load the module for autograd 1.4-foss-2021a please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load autograd/1.4-foss-2021a
BEAR Apps Version
For more information visit the autograd website.
This version of autograd has a direct dependency on: foss/2021a Python/3.9.5-GCCcore-10.3.0 SciPy-bundle/2021.05-foss-2021a
This version of autograd is a direct dependent of: Meep/1.23.0-foss-2021a
These versions of autograd are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 13th July 2022