nvgpu | code presented here is from NVIDIA 's internal dev | GPU library

by kfractal C Version: Current License: No License

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kandi X-RAY | nvgpu Summary

nvgpu is a C library typically used in Hardware, GPU applications. nvgpu has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The code presented here is from NVIDIA's internal dev-kernel-3.10 Linux kernel branch @ commit 85e66d9e32f18056d55cd1781c9c76d80c0bc069. .../kernel/drivers/gpu/nvgpu/*.[ch] .../kernel/include/uapi/linux/nvgpu.h .../kernel/scripts/nvgpu_ucode .../kernel/include/linux/gk20a.h .../kernel/include/trace/events/gk20a.h .../kernel/drivers/gpu/nvgpu/gk20a/. The dev-kernel branch within NVIDIA is used for Android and Linux for Tegra (L4T) product distributions. Examples of these: . Android: . L4T:

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Quality

Security

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Support

nvgpu has a low active ecosystem.

It has 7 star(s) with 11 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nvgpu is current.

Quality

nvgpu has 0 bugs and 0 code smells.

Security

nvgpu has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nvgpu code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nvgpu does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

nvgpu releases are not available. You will need to build from source code and install.

It has 9 lines of code, 0 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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nvgpu Key Features

No Key Features are available at this moment for nvgpu.

nvgpu Examples and Code Snippets

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Community Discussions

Trending Discussions on nvgpu

nvidia-smi command not found on DJI Manifold 2G NVIDIA Jetson TX2

pip install --upgrade pip and pip install --upgrade setuptools both failed with error code 1

QUESTION

nvidia-smi command not found on DJI Manifold 2G NVIDIA Jetson TX2

Asked 2021-Dec-13 at 09:05

Upon running nvidia-smi through terminal, i am met with nvidia-smi command not found However, i am aware that jetpack 3.3 (the nvidia drivers) have already been installed. Has anyone encountered similar problems with Nvidia jetson tx2 ?

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ANSWER

Answered 2021-Dec-09 at 19:41

I think that nvidia-smi is only available so far for NVIDIA discrete GPUs, but Jetsons have an integrated GPU (sharing physical memory with system).

You can find details about your GPU specs with deviceQuery utility in CUDA samples:

Source https://stackoverflow.com/questions/70283859

QUESTION

pip install --upgrade pip and pip install --upgrade setuptools both failed with error code 1

Asked 2021-Dec-06 at 08:48

i encountered errors with trying to upgrade pip, and its setup tools. Appended below are the errors.

pip install -upgrade pip failing

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ANSWER

Answered 2021-Dec-06 at 08:48

I have had this issue before. pip requires the latest version of python to be working properly to work, however certain CPU architectures don't fully support it. you say your using an ARM based CPU which I think requires a different way of installing python. Pip will throw syntax errors when python is incompatible with your CPU arch. You may need to look into emulators or upgrading hardware.

Source https://stackoverflow.com/questions/70242603

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nvgpu

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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