New app features & refactoring: checkpoint/restart and user-specified training time range #79
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Contributor
rouson
commented
Sep 8, 2023
rouson
commented
- refac(app): mv most of main to a subroutine
- feat(app): train in user-specified time step range
- feat(app): checkpoint restart from network file
- feat(example): shorter compilation time
- chore(test): rm commented code
- fix(trainable_engine_s): use single-precision
This commit adds a restart feature to complement the recently added checkpointing feature. If app/train-cloud-microphysics.f90 finds a file with a name of the form <base-name>_network.json, a trainable_engine_t object will be constructed from the contents of that file and training will start from that point.
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