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actuarial/basicterm_me_pytorch

By actuarial

Updated over 2 years ago

Implementing lifelib's basicterm_me in PyTorch

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actuarial/basicterm_me_pytorch repository overview

This image is built in the CI of the https://github.com/actuarialopensource/benchmarks repository.

It runs the BasicTerm_ME calculations from lifelib. By default, it runs 10,000 modelpoints. This dockerfile allows you to repeat these modelpoints to test over larger modelpoint sets. If --multiplier 10000 then there will be 10,000 times the base modelpoints, or 100,000,000 modelpoints.

To run this on GPU:

docker run --gpus all actuarial/basicterm_me_pytorch:latest --multiplier 10000

On CPU:

docker run --gpus all actuarial/basicterm_me_pytorch:latest --multiplier 10000

Tag summary

Content type

Image

Digest

sha256:5f92979b3

Size

3.8 GB

Last updated

over 2 years ago

docker pull actuarial/basicterm_me_pytorch