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1.0 KiB
1.0 KiB
TODO:
-
fold_slice:
- load diffractions / hdf5 files; change only param per job
- restructure
FoldSlicePtychoEngine.__init__()to load data but not params- write new
prepare_data.m
- write new
- start fold_slice from config.yaml instead of setup.txt
-
BO train_x/y transfer between engines for single job
-
multi-GPU dispatcher
- synchronous batched BO
- asynchronous BO
-
metric() function(s) for each ptycho engine
- FRC score
-
separate
configintobo_configandptycho_config; letBOEnginehave no knowledge of ptychography and vice versa. -
add GPU version of ExamplePtychoEngine
-
change
PtychoEngine.metric()to accept list of names and return dict -
rename
BOEnginetoSampler -
organize results/
- possibly:
[dataset name]/[salient config]-[date]/
- possibly:
TODAY:
- separation of available GPUs and parallel BO batches
- prepare next batch for efficient GPU use
GridSampler.__init__()should create a grid.ask()should remove those items from the grid