aws / aws/sagemaker-python-sdk
Sagemaker Local mode with cached pip installs
- Dominant language
- Python
- Stars
- 2.3k
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- Avg merge
- 1d 22h
- Merged PRs (30d)
- 35
Description
**Describe the feature you'd like**
In local mode I would like to be able to cache the pip installs made for preprocess, train and evaluate steps. This would make local development faster as I wouldn't need to re install `torch` for instance that takes a long time.
**How would this feature be used? Please describe.**
In local development we need the containers to have dependencies installed, docker-compose caches steps if they are in the compose yml file. If they are not, then the installation gets redone every time.
**Describe alternatives you've considered**
Provide examples on how to add a requirements file that get's cached in docker containers between local executions.
**Additional context**
Add any other context or screenshots about the feature request here.
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