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# CloudAI OSS Contribution Guidelines | ||
Welcome to the CloudAI project! This document outlines the procedures and standards for contributing to the CloudAI source code. Adherence to these guidelines ensures code quality, readability, and maintainability. We look forward to your contributions! | ||
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## Contribution Process | ||
### Identifying the Feature or Fix | ||
Contributors looking to add features or fixes are encouraged to reach out to the team by creating issues on the project's issue tracker. This step ensures that efforts are not duplicated and that the proposed changes align with the project's goals. Please communicate with the main developers before starting work to avoid the potential for your PR not being accepted. | ||
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### Development and Coding Standards | ||
Adhering to coding standards is crucial for maintaining the quality of the CloudAI codebase. Here are the guidelines you should follow: | ||
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- **Code Formatting and Style:** | ||
- Follow PEP 8 standards for coding style, emphasizing readability and proper documentation. | ||
- Use four spaces for indentation and maintain line length under 79 characters. | ||
- All Python codes should have the license header. There should be a single blank line after the header if it is an import line. If there are no import statements and a class definition appears directly, there should be two blank lines. | ||
- There should be two blank lines between class definitions. | ||
- Use Google style for docstrings to ensure consistency and readability. | ||
- Use isort to automatically sort the packages, ensuring consistency. | ||
- There should be no trailing spaces or blank lines at the end of files. | ||
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- **Branch and Commit Guidelines:** | ||
- Create a branch in the main repository for your work. The branch should be deleted once it is merged. | ||
- If you need to work on another branch that someone has implemented but not merged to the main branch, checkout that branch first and create a new branch on it. Do not copy and paste files; we lose all commit histories with this approach. | ||
- Commit messages should be readable and understandable. Avoid vague messages like "bugfix" or "feature." Commit messages should provide sufficient information for reviewers. | ||
- Aim for multiple small commits rather than a large one for easier code reviews and rebasing. | ||
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- **Linting and Testing:** | ||
- Ensure your code passes all linters set up in `.gitlab-ci.yml`, including flake8, black, and isort. Linters run automatically when you push changes to the remote repository, but you can also run them locally. | ||
- Whenever you create a new Python file under the cloudai directory, you must create a mirror of the file in the tests directory with the prefix `test_`. Otherwise, linting will fail. | ||
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- **Signing Your Work:** | ||
- We require all contributors to sign off on their commits, certifying that the contribution is their original work or that they have rights to submit it under a compatible license. Any contribution which contains commits that are not Signed-Off will not be accepted. | ||
- To sign off on a commit you simply use the `--signoff` (or `-s`) option when committing your changes: | ||
```bash | ||
$ git commit -s -m "Add cool feature." | ||
``` | ||
This will append the following to your commit message: | ||
``` | ||
Signed-off-by: Your Name <your@email.com> | ||
``` | ||
- Full text of the DCO: | ||
``` | ||
Developer Certificate of Origin | ||
Version 1.1 | ||
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Copyright (C) 2004, 2006 The Linux Foundation and its contributors. | ||
1 Letterman Drive | ||
Suite D4700 | ||
San Francisco, CA, 94129 | ||
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Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. | ||
``` | ||
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``` | ||
Developer's Certificate of Origin 1.1 | ||
By making a contribution to this project, I certify that: | ||
(a) The contribution was created in whole or in part by me and I have the right to submit it under the open source license indicated in the file; or | ||
(b) The contribution is based upon previous work that, to the best of my knowledge, is covered under an appropriate open source license and I have the right under that license to submit that work with modifications, whether created in whole or in part by me, under the same open source license (unless I am permitted to submit under a different license), as indicated in the file; or | ||
(c) The contribution was provided directly to me by some other person who certified (a), (b) or (c) and I have not modified it. | ||
(d) I understand and agree that this project and the contribution are public and that a record of the contribution (including all personal information I submit with it, including my sign-off) is maintained indefinitely and may be redistributed consistent with this project or the open source license(s) involved. | ||
``` | ||
### Merge Request (MR) Creation | ||
- Create a merge request on GitLab for your changes. If your code has not been tested, mark the MR as a draft. | ||
- Follow the merge request template, which includes fields for summary and test plan. Ensure your MR has a readable and understandable subject, avoiding generic titles like "bugfix" or "feature1." | ||
- Use bullet points in the summary to clearly outline your contributions. In the test plan section, detail the experiments and commands run, attaching stdout of your command to demonstrate the effectiveness of your code and to help other contributors understand how to validate and run your code. | ||
- Contributors are responsible for rebasing their branch if the main branch has been updated while they are working on their branch. | ||
- Ensure that all pipeline stages pass without any error. In case of failure, check the pipeline stage output and update your code accordingly. | ||
Thanks in advance for your patience as we review your contributions; we do appreciate them! |
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Apache License | ||
Version 2.0, January 2004 | ||
http://www.apache.org/licenses/ | ||
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# Cloud AI Benchmark Suite | ||
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## Project Description | ||
CloudAI benchmark suite aims to develop an industry standard benchmark focused on grading Data Center (DC) scale AI systems in the Cloud. | ||
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## Quick Start | ||
First, clone the CloudAI repository to your local machine: | ||
```bash | ||
git clone git@github.com:NVIDIA/cloudai.git | ||
cd cloudai | ||
``` | ||
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Create a virtual environment: | ||
```bash | ||
python -m venv venv | ||
source venv/bin/activate | ||
``` | ||
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Next, install the required packages using pip: | ||
```bash | ||
pip install -r requirements.txt | ||
``` | ||
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After setting up the environment and installing dependencies, install the cloudai package itself: | ||
```bash | ||
pip install . | ||
``` | ||
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Cloud AI supports five modes: install, dry-run, run, generate-report, and uninstall. | ||
* Use the install mode to install all test templates in the specified installation path. | ||
* Use the dry-run mode to simulate running experiments without actually executing them. This is useful for verifying configurations and testing experiment setups. | ||
* Use the run mode to run experiments. | ||
* Use the generate-report mode to generate reports under the test directories alongside the raw data. | ||
* Use the uninstall mode to remove installed test templates. | ||
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To install test templates, run main.py in install mode. | ||
Please make sure to use the correct system configuration file that corresponds to your current setup for installation and experiments. | ||
```bash | ||
python main.py\ | ||
--mode install\ | ||
--system_config_path conf/v0.6/general/system/example_slurm_cluster.toml | ||
``` | ||
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To simulate running experiments without execution, use the dry-run mode: | ||
```bash | ||
python main.py\ | ||
--mode dry-run\ | ||
--system_config_path conf/v0.6/general/system/example_slurm_cluster.toml\ | ||
--test_scenario_path conf/v0.6/general/test_scenario/sleep/test_scenario.toml | ||
``` | ||
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To run experiments, execute main.py in run mode: | ||
```bash | ||
python main.py\ | ||
--mode run\ | ||
--system_config_path conf/v0.6/general/system/example_slurm_cluster.toml\ | ||
--test_scenario_path conf/v0.6/general/test_scenario/sleep/test_scenario.toml | ||
``` | ||
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To generate reports, execute main.py in generate-report mode: | ||
```bash | ||
python main.py\ | ||
--mode generate-report\ | ||
--system_config_path conf/v0.6/general/system/example_slurm_cluster.toml\ | ||
--output_path /path/to/output_directory | ||
``` | ||
In the generate-report mode, use the --output_path argument to specify a subdirectory under the result directory. | ||
This subdirectory is usually named with a timestamp for unique identification. | ||
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To uninstall test templates, run main.py in uninstall mode: | ||
```bash | ||
python main.py\ | ||
--mode uninstall\ | ||
--system_config_path conf/v0.6/general/system/example_slurm_cluster.toml | ||
``` | ||
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# Contributing | ||
Feel free to contribute to the CloudAI project. Your contributions are highly appreciated. | ||
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# License | ||
This project is licensed under Apache 2.0. See the LICENSE file for detailed information. |
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