Tools for making reproducible PyTorch datasets
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
Torch Deterministic
Torch Deterministic is a library for making PyTorch datasets with deterministic and easily reproducible augmentations. More specifically, this library is meant to facilitate the following paradigm:
- None of the global PyTorch pseudorandom number generators (PRNGs) are used.
- Every time the dataset is indexed, a new PRNG is seeded with that index number. This PRNG is used for all randomness needed to make the data point in question.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file torch_deterministic-0.1.0.tar.gz.
File metadata
- Download URL: torch_deterministic-0.1.0.tar.gz
- Upload date:
- Size: 5.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.0.1 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
849f799565ab13a6334dbc91dd0b8c198b23722f65a36cc468d54eb6061ebc8b
|
|
| MD5 |
9d277aa87503469fee4e82de6a3022dd
|
|
| BLAKE2b-256 |
1498307254729418957338cb3fe90fb314019a6272dd38adc528f4065831132d
|
Provenance
The following attestation bundles were made for torch_deterministic-0.1.0.tar.gz:
Publisher:
release.yml on kalekundert/torch_deterministic
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
torch_deterministic-0.1.0.tar.gz -
Subject digest:
849f799565ab13a6334dbc91dd0b8c198b23722f65a36cc468d54eb6061ebc8b - Sigstore transparency entry: 160133910
- Sigstore integration time:
-
Permalink:
kalekundert/torch_deterministic@285c0747f52a5dffda57245155d0f80aee0f81de -
Branch / Tag:
refs/heads/master - Owner: https://github.com/kalekundert
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@285c0747f52a5dffda57245155d0f80aee0f81de -
Trigger Event:
workflow_dispatch
-
Statement type:
File details
Details for the file torch_deterministic-0.1.0-py3-none-any.whl.
File metadata
- Download URL: torch_deterministic-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.0.1 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
405c37b64e997d44cdaa7ce72055a3e7470386ab19afc8a9e23296572c9ed655
|
|
| MD5 |
09d1fd92285b5c3586728a04f33cea16
|
|
| BLAKE2b-256 |
c6d5978c9c1ad15ebfee6081f5a5a7329b7d725c9d2fe4836ca3dcd1fc2c328f
|
Provenance
The following attestation bundles were made for torch_deterministic-0.1.0-py3-none-any.whl:
Publisher:
release.yml on kalekundert/torch_deterministic
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
torch_deterministic-0.1.0-py3-none-any.whl -
Subject digest:
405c37b64e997d44cdaa7ce72055a3e7470386ab19afc8a9e23296572c9ed655 - Sigstore transparency entry: 160133911
- Sigstore integration time:
-
Permalink:
kalekundert/torch_deterministic@285c0747f52a5dffda57245155d0f80aee0f81de -
Branch / Tag:
refs/heads/master - Owner: https://github.com/kalekundert
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@285c0747f52a5dffda57245155d0f80aee0f81de -
Trigger Event:
workflow_dispatch
-
Statement type:
