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 [-h] [--verbose] [--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

torchdetscan 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
  --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

Metadata

Release files for torchdetscan 0.1

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Source distribution (sdist)

Source distribution for torchdetscan 0.1
File	Size	Uploaded	Provenance
torchdetscan-0.1.tar.gz	6.6 kB	Jul 12, 2024	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for torchdetscan 0.1
File	Interpreter	ABI	Platform	Reset
torchdetscan-0.1-py3-none-any.whl 6.6 kB Jul 12, 2024 Without provenance	Python 3	none	any	Details

Total release size: 13.2 kB

Release files / torchdetscan-0.1.tar.gz

Download URL	torchdetscan-0.1.tar.gz
Size	6.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`903039909b61aea9b3b9b9ca5d4975e324a8063a5c9e6554ab5e05fa1fd3f6a1`
BLAKE2b-256 checksum How to use checksums	`e26cd1adf32dfecb6492f857f680f7f54716d0dcf4128ad0e784212119df947e`
Upload date	Jul 12, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.10.9`

Release files / torchdetscan-0.1-py3-none-any.whl

Download URL	torchdetscan-0.1-py3-none-any.whl
Size	6.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`d181f259215b2700b8a11ca69385e91b5c953a23fdab03227d7d33f440116a9b`
BLAKE2b-256 checksum How to use checksums	`1735d5050bbc9c2d42c18a5cdb4a27218106dfed1b2d1e2f0d6b59e4d1b5c84f`
Upload date	Jul 12, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.10.9`

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Jul 12, 2024 2 release files No provenance

torchdetscan 0.1