cuDNN runtime libraries containing primitives for deep neural networks.
Metadata
Release files for nvidia-cudnn-cu13 9.26.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| nvidia_cudnn_cu13-9.26.1.1-py3-none-win_arm64.whl | Python 3 | none | Windows ARM64 | Details |
| nvidia_cudnn_cu13-9.26.1.1-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| nvidia_cudnn_cu13-9.26.1.1-py3-none-manylinux_2_27_x86_64.whl | Python 3 | none | Linux glibc 2.27+ x86-64 | Details |
| nvidia_cudnn_cu13-9.26.1.1-py3-none-manylinux_2_27_aarch64.whl | Python 3 | none | Linux glibc 2.27+ ARM64 | Details |
Total release size: 1.7 GB
Release files / nvidia_cudnn_cu13-9.26.1.1-py3-none-win_arm64.whl
| Download URL | nvidia_cudnn_cu13-9.26.1.1-py3-none-win_arm64.whl |
|---|---|
| Size | 165.4 MB |
| Tags | Python 3 Windows ARM64 |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.22
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Release files / nvidia_cudnn_cu13-9.26.1.1-py3-none-win_amd64.whl
| Download URL | nvidia_cudnn_cu13-9.26.1.1-py3-none-win_amd64.whl |
|---|---|
| Size | 419.6 MB |
| Tags | Python 3 Windows x86-64 |
|
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No |
| Uploaded via |
twine/5.0.0 CPython/3.10.22
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Release files / nvidia_cudnn_cu13-9.26.1.1-py3-none-manylinux_2_27_x86_64.whl
| Download URL | nvidia_cudnn_cu13-9.26.1.1-py3-none-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 519.2 MB |
| Tags | Linux glibc 2.27+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.22
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Release files / nvidia_cudnn_cu13-9.26.1.1-py3-none-manylinux_2_27_aarch64.whl
| Download URL | nvidia_cudnn_cu13-9.26.1.1-py3-none-manylinux_2_27_aarch64.whl |
|---|---|
| Size | 595.3 MB |
| Tags | Linux glibc 2.27+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.22
|
