如何正确提issues (How to properly raise issues)

[Erythrocyte3803]

如何正确提issues (How to properly raise issues)

[Erythrocyte3803]

How to properly raise issues

1. Before asking questions, it is recommended to try to solve the problem by yourself. You can use search engines such as Google/Bing, etc. If you still can't solve the problem, please read "How To Ask Questions The Smart Way" carefully before raising any issues.
2. When asking questions, you must provide the following information to help locate the problem: system platform, where the problem occurs, Python environment version, Torch version, branch used, dataset used, screenshot of authorization certificate, problem description, and complete log screenshot.
3. When asking questions, please maintain a friendly attitude.

What kinds of issues will be closed

1. Those from people who do not make any effort to solve the problem on their own.
2. Those related to one-click package or environment package.
3. Those where insufficient information is provided.
4. Those related to unauthorized datasets (game characters or anime characters are not included in this category, but be careful when training. If you can contact the official source, you must contact them first and verify the information clearly).

Reference format (can be directly copied)

System platform: Fill in the platform you are using, such as: Windows

Where the problem occurs: Installing dependencies / Inference / Training / Preprocessing / Other

Python version: Fill in the Python version you are using, which can be queried with python -V

PyTorch version: Fill in the PyTorch version you are using, which can be queried with pip show torch

Branch used: Fill in the code branch you are using

Dataset used: Fill in the source of the dataset you used for training. If it is only for inference, leave it blank.

Screenshot of authorization certificate: Add a screenshot of the authorization certificate here. If the dataset is your own voice or the dataset is a game character or anime character or has no training requirements, leave it blank.

Problem description: Describe your problem here, the more detailed the better.

Log screenshot: Add the complete log screenshot here to help locate the problem.