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As described in #302, this moves the sweep to a model where each sweep run is a subprocess, which seems likely to ensure the OS returns memory at the end of each run. This model is one we piloted in UDTube and here the implementation is actually simpler because there's no need for temporary config files.
Testing confirms this works and that the data is being logged as expected to W&B, but I'd appreciate if a reviewer can try it out locally with an existing workflow.
One nice side effect of this is we no longer need to maintain the
train.train
module interface, which has no place in LightningCLI anyways.Closes #302.