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