NVIDIA Exchange File Format
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
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File details
Details for the file nvidia_eff-0.6.7-py312-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_24_x86_64.whl.
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- Size: 650.2 kB
- Tags: Python 3.12, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.24+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.19
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File details
Details for the file nvidia_eff-0.6.7-py310-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_24_x86_64.whl.
File metadata
- Download URL: nvidia_eff-0.6.7-py310-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_24_x86_64.whl
- Upload date:
- Size: 560.5 kB
- Tags: Python 3.10, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.24+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.19
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Details for the file nvidia_eff-0.6.7-py38-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.
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- Download URL: nvidia_eff-0.6.7-py38-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
- Upload date:
- Size: 559.8 kB
- Tags: Python 3.8, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.24+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.19
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Details for the file nvidia_eff-0.6.7-py37-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.
File metadata
- Download URL: nvidia_eff-0.6.7-py37-none-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
- Upload date:
- Size: 555.4 kB
- Tags: Python 3.7, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.24+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.19
File hashes
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