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
Metadata
Release files for nvidia-eff 0.6.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| nvidia_eff-0.6.7-py312-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_24_x86_64.whl | Python 3.12 | none | Linux glibc 2.17+ x86-64, Linux glibc 2.24+ x86-64 | Details |
| nvidia_eff-0.6.7-py310-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_24_x86_64.whl | Python 3.10 | none | Linux glibc 2.24+ x86-64, Linux glibc 2.17+ x86-64 | Details |
| nvidia_eff-0.6.7-py38-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl | Python 3.8 | none | Linux glibc 2.24+ x86-64, Linux glibc 2.17+ x86-64 | Details |
| nvidia_eff-0.6.7-py37-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl | Python 3.7 | none | Linux glibc 2.17+ x86-64, Linux glibc 2.24+ x86-64 | Details |
Total release size: 2.3 MB
Release files / nvidia_eff-0.6.7-py312-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_24_x86_64.whl
| Download URL | nvidia_eff-0.6.7-py312-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_24_x86_64.whl |
|---|---|
| Size | 650.2 kB |
| Tags | Linux glibc 2.17+ x86-64 Linux glibc 2.24+ x86-64 Python 3.12 |
|
SHA-256 checksum How to use checksums |
fbec2b3c7b70119f6f4e8ab44511e29790e1ab41f6b085dfea4a8cdcf0965d2c
|
|
BLAKE2b-256 checksum How to use checksums |
3f392d0a28f82a3b3ccf5f4f9b626c864409ce5851f069e51f69e6974c9e11f0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.19
|
Release files / nvidia_eff-0.6.7-py310-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_24_x86_64.whl
| Download URL | nvidia_eff-0.6.7-py310-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_24_x86_64.whl |
|---|---|
| Size | 560.5 kB |
| Tags | Linux glibc 2.17+ x86-64 Linux glibc 2.24+ x86-64 Python 3.10 |
|
SHA-256 checksum How to use checksums |
bbf9ecfd32ddbca59e5d081baac2f583499d3b47ba07283994db236267ca6977
|
|
BLAKE2b-256 checksum How to use checksums |
a8cb123788404ef423af0c86cf93e44a77c6318b90cc402db0d812a471f19af1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.19
|
Release files / nvidia_eff-0.6.7-py38-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
| Download URL | nvidia_eff-0.6.7-py38-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl |
|---|---|
| Size | 559.8 kB |
| Tags | Linux glibc 2.17+ x86-64 Linux glibc 2.24+ x86-64 Python 3.8 |
|
SHA-256 checksum How to use checksums |
7a2674b9b2c34f5f3fe5583fcd2642833222ef2b0d36c784a26116335e7a6c94
|
|
BLAKE2b-256 checksum How to use checksums |
d62f8fdc9e807a10fb4a19266db9ee865dcf1dbe66f0a00ecd41c189f54361f8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.19
|
Release files / nvidia_eff-0.6.7-py37-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
| Download URL | nvidia_eff-0.6.7-py37-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl |
|---|---|
| Size | 555.4 kB |
| Tags | Linux glibc 2.17+ x86-64 Linux glibc 2.24+ x86-64 Python 3.7 |
|
SHA-256 checksum How to use checksums |
04b96860f21cf21da2ca76f62717bff6c7b19a0ae6112e2297e126d6b936da77
|
|
BLAKE2b-256 checksum How to use checksums |
6e816967d28dc080f3e027923bd04149bd7098ee30b49e69fe574968fe7cad85
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.19
|
Security for nvidia-eff 0.6.7
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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