PyPI v0.15.0
Features
- Add daemon Services Mode (
daemon --services-mode) where the daemon spins a task in its own docker and verifies start-up and shut-down. This allows multiple tasks to be launched simultaneously on the same machine (currently in CPU mode only), where each task service will register itself as a worker for the lifetime of the task - Enhance
build --dockermode- Add
--install-globallyoption to install required packages in the docker's system python - Add
--entry-pointoption to allow automatic task cloning when running the docker
- Add
- Support PyTorch Nightly builds using the
agent.torch_nightlyconfiguration flag. Iftrue, the agent looks for a nightly build when a stable torch wheel is not found - Add environment variables support for git user/password
- Using
TRAINS_AGENT_GIT_USER/TRAINS_AGENT_GIT_PASS - Pass git credentials to dockerized experiment execution
- Using
- Support running code from module (i.e.
-min execution entry point) - Add daemon
--create-queueto automatically create a queue and use it if queue name doesn't exist in the server - Move
--gpusand--cpu-onlyto worker args (used by daemon, execute and build)
Bug Fixes
- Fix init wizard, correctly display the input servers #19
- Fix version control links in requirements when using
conda - Fix
build --dockermode standalone docker execution - Improve docker host-mount support, use
TRAINS_AGENT_DOCKER_HOST_MOUNTenvironment variable - Support
pipv20.1 local/http package reference inpip freeze - Fix detached mode to correctly use cache folder slots
- Fix
CUDA_VISIBLE_DEVICESshould never be set to "all" (Trains Slack channel thread) - Do not monitor GPU when running with
--cpu-only