deepracer-for-cloud
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feat: Add feature to store custom_files and config in a subdir for each experiment
The feature enables each training session to have it's config and custom_files stored within a subdir under experiments/.
This simplifies being able to locate the config and files that were used for a particular training session.
An additional flag is added to system.env to control the experiment name, which when set will cause the rest of the config to be loaded from $DR_DIR/experiments/<experiment_name>/run.env and $DR_DIR/experiments/<experiment_name>/custom_files/.
Question; does things like dr-increment-training and the -1 flag to dr-upload-model work?
Question; does things like
dr-increment-trainingand the-1flag todr-upload-modelwork?
Yes, they work fine, although the increment-training will just update the current run.env inside the same experiment folder.
I plan to add another command to increment the whole experiment folder which will also update the DR_EXPERIMENT_NAME and increment model prefix + set pretrained prefix.