StyleGAN2_PyTorch | StyleGAN2 PyTorch | Machine Learning library

by tomguluson92 Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | StyleGAN2_PyTorch Summary

StyleGAN2_PyTorch is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. StyleGAN2_PyTorch has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However StyleGAN2_PyTorch build file is not available. You can download it from GitHub.

StyleGAN2 PyTorch 1.0.1

Support

Quality

Security

License

Reuse

Support

StyleGAN2_PyTorch has a low active ecosystem.

It has 77 star(s) with 8 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. 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.

StyleGAN2_PyTorch has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

StyleGAN2_PyTorch saves you 881 person hours of effort in developing the same functionality from scratch.

It has 2016 lines of code, 127 functions and 21 files.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of StyleGAN2_PyTorch

Get all kandi verified functions for this library.

StyleGAN2_PyTorch Key Features

No Key Features are available at this moment for StyleGAN2_PyTorch.

StyleGAN2_PyTorch Examples and Code Snippets

No Code Snippets are available at this moment for StyleGAN2_PyTorch.

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

You can download it from GitHub.
You can use StyleGAN2_PyTorch like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

Find more information at: