Implementing lifelib's basicterm_me in PyTorch
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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
Content type
Image
Digest
sha256:5f92979b3…
Size
3.8 GB
Last updated
over 2 years ago
docker pull actuarial/basicterm_me_pytorch