Additional tests for pytorch - #65
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MatthewIreland
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Jul 28, 2026
MatthewIreland
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- Adds Mel's extended tests so we can run these via CI
- Shovels in more of Pytorch's examples to the example running script
- Adds a script to exercise pytorch's use of different data types
Its `requirements.txt` only lists torch and vision, so it should be noop except for pulling in other unmet deps. But rather than risk it pulling in thirdparty builds of these things if our build or install of torch/vision ever breaks for some reason, and then us not noticing, let's just install what it wants without potentially shooting ourselves in the foot.
07-run-datatypetests.sh tests PyTorch datatypes by training two small MNIST models (`mlp` and `cnn) at three different precisions. We check the training curve follows "roughly the right shape" (defined via `EXPECTATIONS`). The script exits with 0 if and only if it runs to completion (with all precisions) and our criterion for the training curve following the right shape is satisfied.
This calms some warnings until we have CUBLASLt
…d to build artifacts
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