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progressive restoring of trainer state #7652

Merged
merged 36 commits into from
Jun 17, 2021
Merged

progressive restoring of trainer state #7652

merged 36 commits into from
Jun 17, 2021

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awaelchli
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@awaelchli awaelchli commented May 22, 2021

What does this PR do?

Fixes #7535

Includes the changes from #7955, target branch will be changed to master.

The restore flow before:

call to trainer.fit()

model.setup("fit")  # trainer calls setup
call_configure_sharded_model(model)
accelerator.setup(model) 
...

dispatch() #  _run_train, etc.
restore() # restore everything at once (model, callbacks, optimizers, loop state etc.)

The restore flow now:

call to Trainer.fit()

# check if/what we needs to resume, load the checkpoint file
resume_start() 

model.setup("fit")  # trainer calls setup

# model weights get restored as soon as model is setup
restore_datamodule() # calls datamodule.on_load_checkpoint()
restore_model() # calls model.on_load_checkpoint()
restore_callbacks() # calls callback.on_load_checkpoint()

call_configure_sharded_model(model)
accelerator.setup(model) 

pre_dispatch()

# restore training state as soon as everything
restore_training_state()  # restore optimizer, precision, loop progress

dispatch() #  _run_train, etc.

resume_end() # delete checkpoint file in memory

Before submitting

  • Was this discussed/approved via a GitHub issue? (not for typos and docs)
  • Did you read the contributor guideline, Pull Request section?
  • Did you make sure your PR does only one thing, instead of bundling different changes together?
  • Did you make sure to update the documentation with your changes? (if necessary)
  • Did you write any new necessary tests? (not for typos and docs)
  • Did you verify new and existing tests pass locally with your changes?
  • Did you update the CHANGELOG? (not for typos, docs, test updates, or internal minor changes/refactorings)

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Follow up to this PR

Make plugin decide if we want to restore model weights before or after call to configure_sharded_model hook as per #7535 (comment)

if TrainingTypePlugin.restore_before_configure_sharded_model:
    restore_model() # also calls model.on_load_checkpoint()

call_configure_sharded_model(model)

if not TrainingTypePlugin.restore_before_configure_sharded_model:
    restore_model() # also calls model.on_load_checkpoint()

@pep8speaks
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pep8speaks commented May 22, 2021

Hello @awaelchli! Thanks for updating this PR.

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2021-06-17 07:49:49 UTC

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codecov bot commented May 22, 2021

Codecov Report

Merging #7652 (02c3d54) into master (bc2c2db) will decrease coverage by 0%.
The diff coverage is 100%.

@@           Coverage Diff           @@
##           master   #7652    +/-   ##
=======================================
- Coverage      92%     91%    -0%     
=======================================
  Files         207     207            
  Lines       13374   13485   +111     
=======================================
+ Hits        12246   12317    +71     
- Misses       1128    1168    +40     

@awaelchli awaelchli changed the base branch from master to feature/resume-8 June 12, 2021 12:55
@mergify mergify bot removed the has conflicts label Jun 16, 2021
tests/models/test_hooks.py Outdated Show resolved Hide resolved
@awaelchli awaelchli requested a review from carmocca June 16, 2021 12:37
@mergify mergify bot removed the has conflicts label Jun 16, 2021
@carmocca carmocca added this to the v1.4 milestone Jun 16, 2021
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LGTM !

@tchaton tchaton added the ready PRs ready to be merged label Jun 16, 2021
@awaelchli awaelchli enabled auto-merge (squash) June 16, 2021 21:18
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
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[bug]Resuming From Checkpoint for FP16 failure (Single GPU)
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