nvidia-eff

NVIDIA Exchange File Format

These details have not been verified by PyPI

Development Status
- 5 - Production/Stable
Environment
- Console
Intended Audience
- Developers
- Information Technology
License
- Other/Proprietary License
Natural Language
- English
Operating System
- OS Independent
Programming Language
- Python :: 3.7
Topic

Project description

nvidia-eff

The NVIDIA Exchange File Format (EFF) was created with the aim of facilitating exchange and interoperability between different NVIDIA Deep Learning frameworks and tools.

A Software License Agreement is included with the product and governs the use of the product. By pulling and using the NVIDIA Exchange File Format, you accept the terms and conditions of the license. For details please refer to LICENSE.txt.

Installation:

pip install nvidia-eff

Project details

These details have not been verified by PyPI

Development Status
- 5 - Production/Stable
Environment
- Console
Intended Audience
- Developers
- Information Technology
License
- Other/Proprietary License
Natural Language
- English
Operating System
- OS Independent
Programming Language
- Python :: 3.7
Topic

Release history Release notifications | RSS feed

0.6.5

Jul 31, 2023

0.6.4

Feb 1, 2023

This version

0.6.3

Sep 13, 2022

0.6.2

Apr 7, 2022

0.6.1

Mar 31, 2022

0.5.7

Dec 12, 2022

0.5.6

May 23, 2022

0.0.1.dev5 pre-release

Apr 23, 2021

0.0.1.dev4 pre-release

Oct 28, 2020

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nvidia_eff-0.6.3-py38-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (677.3 kB view details)

Uploaded Dec 13, 2022 Python 3.8 manylinux: glibc 2.17+ x86-64

nvidia_eff-0.6.3-py37-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (673.4 kB view details)

Uploaded Sep 13, 2022 Python 3.7 manylinux: glibc 2.17+ x86-64

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Upload date: Dec 13, 2022
Size: 677.3 kB
Tags: Python 3.8, manylinux: glibc 2.17+ x86-64
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Download URL: nvidia_eff-0.6.3-py37-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Sep 13, 2022
Size: 673.4 kB
Tags: Python 3.7, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.10.7

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