aws / aws/sagemaker-python-sdk
Support git_config parameter in SourceCode or ModelTrainer
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描述
**Describe the feature you'd like**
Add `git_config` parameter support to the SourceCode class (or directly to ModelTrainer) to enable fetching source code directly from Git repositories, similar to the functionality available in JumpStart models and v2 [Estimator classes](https://sagemaker.readthedocs.io/en/v2/api/training/estimators.html).
The `git_config` parameter should accept a dictionary with the following keys:
- `repo` (required): Git repository URL (https, http, git@, or ssh://)
- `branch` (optional): Branch name (defaults to 'master')
- `commit` (optional): Specific commit hash
- `2FA_enabled` (optional): Boolean for GitHub 2FA authentication
- `username`, `password`, `token` (optional): Authentication credentials
**How would this feature be used? Please describe.**
This feature would allow users to reference training code stored in Git repositories without manually cloning them first. This is particularly useful for:
1. CI/CD pipelines - Automatically pull the latest training code from a repository
2. Team collaboration - Share training scripts via version control without S3 uploads
3. Reproducibility - Pin to specific commits for exact code versioning
**Describe alternatives you've considered**
Current workarounds include:
1. Manual cloning - Clone the repository locally before creating ModelTrainer, then use local `source_dir`
2. S3 upload - Upload code to S3 and reference it via S3 URI in `source_dir`
3. Use legacy estimators - Switch to older Estimator classes that support `git_config`
**Additional context**
The SDK already has the infrastructure for this feature:
- `sagemaker.core.git_utils.git_clone_repo()` handles Git cloning with authentication
- `sagemaker.core.git_utils._sanitize_git_url()` provides security validation
- JumpStart models (`JumpStartModelInitKwargs`) already support `git_config`
贡献指南
调研方向
从 SourceCode 和 ModelTrainer 开始,然后将它们的初始化路径与 JumpStartModelInitKwargs 以及 v2 Estimator 的 git_config 行为进行比较。先阅读 sagemaker.core.git_utils.git_clone_repo() 和 _sanitize_git_url();完成意味着接受指定的字典键,并使用受支持的身份验证获取所请求的仓库、分支或提交。
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评估
- 技术栈
- aws, git, python
- 领域
- machine-learning
- Issue 类型
- 功能
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 48/100