stylegan2_pytorch | A Pytorch implementation of StyleGAN2 | Machine Learning library

by Tetratrio Python Version: Current License: MIT

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kandi X-RAY | stylegan2_pytorch Summary

stylegan2_pytorch is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. stylegan2_pytorch has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is an unofficial port of the StyleGAN2 architecture and training procedure from the official Tensorflow implementation to Pytorch. Pretrained Tensorflow models can be converted into Pytorch models. This model is built to be runnable for 1d, 2d and 3d data.

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stylegan2_pytorch has a low active ecosystem.

It has 117 star(s) with 29 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 10 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of stylegan2_pytorch is current.

Quality

stylegan2_pytorch has 0 bugs and 0 code smells.

Security

stylegan2_pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

stylegan2_pytorch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

stylegan2_pytorch is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

stylegan2_pytorch releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

stylegan2_pytorch saves you 2664 person hours of effort in developing the same functionality from scratch.

It has 5778 lines of code, 261 functions and 18 files.

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

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stylegan2_pytorch Key Features

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stylegan2_pytorch Examples and Code Snippets

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Community Discussions

Trending Discussions on stylegan2_pytorch

Pytorch says that CUDA is not available

QUESTION

Pytorch says that CUDA is not available

Asked 2020-Oct-31 at 21:26

I'm trying to run Pytorch on a laptop that I have. It's an older model but it does have an Nvidia graphics card. I realize it is probably not going to be sufficient for real machine learning but I am trying to do it so I can learn the process of getting CUDA installed.

I have followed the steps on the installation guide for Ubuntu 18.04 (my specific distribution is Xubuntu).

My graphics card is a GeForce 845M, verified by lspci | grep nvidia:

...

ANSWER

Answered 2020-Oct-31 at 21:26

PyTorch doesn't use the system's CUDA library. When you install PyTorch using the precompiled binaries using either pip or conda it is shipped with a copy of the specified version of the CUDA library which is installed locally. In fact, you don't even need to install CUDA on your system to use PyTorch with CUDA support.

There are two scenarios which could have caused your issue.

You installed the CPU only version of PyTorch. In this case PyTorch wasn't compiled with CUDA support so it didn't support CUDA.
You installed the CUDA 10.2 version of PyTorch. In this case the problem is that your graphics card currently uses the 418.87 drivers, which only support up to CUDA 10.1. The two potential fixes in this case would be to either install updated drivers (version >= 440.33 according to Table 2) or to install a version of PyTorch compiled against CUDA 10.1.

To determine the appropriate command to use when installing PyTorch you can use the handy widget in the "Quick start locally" section at pytorch.org. Just select the appropriate operating system, package manager, and CUDA version then run the recommended command.

In your case one solution was to use

Source https://stackoverflow.com/questions/62359175

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

Vulnerabilities

No vulnerabilities reported

Install stylegan2_pytorch

Clone this repository: git clone https://github.com/Tetratrio/stylegan2_pytorch.git
(Recommended) Create a virtualenv: virtualenv .venv && source .venv/bin/activate
Install requirements: pip install -r requirements.txt

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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