Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Docs] Add the data flow of Runner in README #1257

Merged
merged 6 commits into from
Jul 18, 2023
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
2 changes: 2 additions & 0 deletions README.md
Expand Up @@ -112,6 +112,8 @@ Major features:
- Provides rich components and strategies.
- Complete controls on the training process with different levels of APIs.

![mmengine_dataflow](https://github.com/open-mmlab/mmengine/assets/58739961/267db9cb-72e4-4af2-a58b-877b30091acc)

## Installation

Before installing MMEngine, please ensure that PyTorch has been successfully installed following the [official guide](https://pytorch.org/get-started/locally/).
Expand Down
2 changes: 2 additions & 0 deletions README_zh-CN.md
Expand Up @@ -113,6 +113,8 @@ MMEngine 是一个基于 PyTorch 实现的,用于训练深度学习模型的
- 提供了丰富的组件和策略。
- 使用不同等级的 API 控制训练过程。

![mmengine_dataflow](https://github.com/open-mmlab/mmengine/assets/58739961/267db9cb-72e4-4af2-a58b-877b30091acc)

## 安装

在安装 MMEngine 之前,请确保 PyTorch 已成功安装在环境中,可以参考 [PyTorch 官方安装文档](https://pytorch.org/get-started/locally/)。
Expand Down