This package provides patches and tools related to determinism (bit-accurate, run-to-run reproducibility) in deep learning frameworks, with a focus on determinism when running on GPUs, and a tool (Seeder) for reducing variance in deep learning frameworks.
For further information, see the documentation in the associated open-source repository: GitHub/NVIDIA/framework-reproducibility
1 maintainer
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 framework-reproducibility-0.6.0.tar.gz.
File metadata
- Download URL: framework-reproducibility-0.6.0.tar.gz
- Upload date:
- Size: 8.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.19.5 CPython/2.7.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7b10bf8963da47bb7b7afb63de8622fb3f925cdb25bda1400b4f49870166e253
|
|
| MD5 |
542e1537dc80f76ae2dc0236d551c3bc
|
|
| BLAKE2b-256 |
a1e5cfb093bbf90c810d521f117cd576504844993e9c4f8635c1942ce43d289c
|
File details
Details for the file framework_reproducibility-0.6.0-py2.py3-none-any.whl.
File metadata
- Download URL: framework_reproducibility-0.6.0-py2.py3-none-any.whl
- Upload date:
- Size: 19.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.19.5 CPython/2.7.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68b75c67ac9ad8558ee66490fce509ace43f2243a86d50d13dd9f1564b4f02e4
|
|
| MD5 |
53afd5d1809317438115e0a6503ee4c0
|
|
| BLAKE2b-256 |
e6247f260b16f913baa88feeb34134a9004bcc0b69352f45b3d210f72e3b512a
|
