torchdetscan: rooting out non-determinism in pytorch code

A linter for deep learning non-determinism, randomness and reproducibility with applications to scientific computing and simulation.

Usage

usage: torchdetscan.py [-h] [--verbose] [--csv]
                       [--pytorch-version {1.6.0,1.7.0,1.7.1,1.8.0,1.8.1,1.9.0,1.9.1,1.10,1.11,1.12,1.13,2.0,2.1,2.2,2.3}]
                       path

MINNERVA is a linter for finding non-deterministic functions in pytorch code.

positional arguments:
  path                  Path to the file or directory in which to recursively
                        lint

options:
  -h, --help            show this help message and exit
  --verbose, -v         Enable chatty output
  --csv, -c             Output in CSV format
  --pytorch-version {1.6.0,1.7.0,1.7.1,1.8.0,1.8.1,1.9.0,1.9.1,1.10,1.11,1.12,1.13,2.0,2.1,2.2,2.3}, 
   -ptv {1.6.0,1.7.0,1.7.1,1.8.0,1.8.1,1.9.0,1.9.1,1.10,1.11,1.12,1.13,2.0,2.
   1,2.2,2.3}
                        Version of Pytorch to use for checking