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scipion-em / scipion-pyworkflow

Underlying pyworkflow module for the Scipion framework
GNU General Public License v3.0
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Review logic for setting workflow protocols as 'saved' #487

Open delarosatrevin opened 10 months ago

delarosatrevin commented 10 months ago

I will explain my example where some processing/time has been lost due to this issue Setup of streaming workflow overnight: import movies -> motioncor (3 gpus) -> cryolo picking (1GPU) -> relion particles extraction The next day motioncor has finished, but cryolo had been the bottleneck and there were still many micrographs to pick (and therefore extract) I stopped cryolo, changed the threads/GPUs to add more gpus and finish the task quicker....then when stopped, I selected 'Single' and after Continue, the subsequent 'relion-extraction' job has been changed from 'aborted' to 'saved' So, the cryolo will continue and avoid already picked micrographs, but the extraction job is starting now from scratch

pconesa commented 9 months ago

Thanks Jose Miguel, probably we:

1: Since a single "continue" of a protocol already could break the reproducibility/traceability in case a certain parameter is modified, we may soon allow this when continuing a workflow assuming current behaviour.

2: We , maybe should detect which parameters have changed before the "execute·" and if it is "one of those affecting the output" (protocol may need to tell pyworkflow which ones do and which ones don't). By default, I'd say all specific parameters for the protocols affect the output. Then we should provide a way to define those that do not affect continuation.

azazellochg commented 9 months ago

For the point # 2, would it make sense to say that changing any compute parameters (top part of any protocol form) would not affect the output?

delarosatrevin commented 9 months ago

Yes, a first improvement could be what Grigory proposed.

  1. Any change in computing parameters should not affect and be flexible.
  2. We could make it a bit flexible and allow execution with a warning and let the user decide.

We need to check and think about some cases, but I guess Pablo's assumption is correct, that most parameters will affect the output. Other parameters are more computing (e.g. batchSize for streaming).

pconesa commented 9 months ago

100% agree

El vie., 15 dic. 2023 16:33, Jose Miguel de la Rosa Trevin < @.***> escribió:

Yes, a first improvement could be what Grigory proposed.

  1. Any change in computing parameters should not affect and be flexible.
  2. We could make it a bit flexible and allow execution with a warning and let the user decide.

We need to check and think about some cases, but I guess Pablo's assumption is correct, that most parameters will affect the output. Other parameters are more computing (e.g. batchSize for streaming).

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