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[BUG] estimated_stepping_batches
requires distributed comms in configure_optimizers
for DeepSpeedStrategy
#13350
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SeanNaren
requested review from
justusschock,
kaushikb11,
williamFalcon,
Borda,
carmocca and
rohitgr7
as code owners
June 21, 2022 14:46
SeanNaren
changed the title
Fix/deepspeed
[BUG] Jun 21, 2022
estimated_stepping_batches
requires distributed comms in configure_optimizers
for DeepSpeedStrategy
for more information, see https://pre-commit.ci
justusschock
approved these changes
Jun 21, 2022
carmocca
approved these changes
Jun 21, 2022
Borda
approved these changes
Jun 21, 2022
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lgtm
12 tasks
rohitgr7
pushed a commit
that referenced
this pull request
Jul 1, 2022
…figure_optimizers` for `DeepSpeedStrategy` (#13350)
lexierule
pushed a commit
that referenced
this pull request
Jul 12, 2022
* update NGC docker (#13136) * update docker * Apply suggestions from code review Co-authored-by: Akihiro Nitta <[email protected]> Co-authored-by: Carlos Mocholí <[email protected]> * Decouple pulling legacy checkpoints from existing GHA workflows and docker files (#13185) * Add pull-legacy-checkpoints action * Replace pulls with the new action and script * Simplify * Merge pull request #13250 from PyTorchLightning/ci/rm-base CI: Remove simple test `ci_test-base.yml` * Update rich requirement from !=10.15.*,<=12.0.0,>=10.2.2 to >=10.2.2,!=10.15.0.a,<13.0.0 in /requirements (#13047) * Update rich requirement in /requirements Updates the requirements on [rich](https://github.com/willmcgugan/rich) to permit the latest version. - [Release notes](https://github.com/willmcgugan/rich/releases) - [Changelog](https://github.com/Textualize/rich/blob/master/CHANGELOG.md) - [Commits](Textualize/rich@v10.2.2...v12.4.1) --- updated-dependencies: - dependency-name: rich dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Fix torch.distributed._sharded_tensor DeprecationWarning (#13261) * update tutorials (#13268) * [BUG] `estimated_stepping_batches` requires distributed comms in `configure_optimizers` for `DeepSpeedStrategy` (#13350) * Update torchmetrics requirement from <=0.7.2,>=0.4.1 to >=0.4.1,<0.9.2 in /requirements (#13275) Update torchmetrics requirement in /requirements Updates the requirements on [torchmetrics](https://github.com/PyTorchLightning/metrics) to permit the latest version. - [Release notes](https://github.com/PyTorchLightning/metrics/releases) - [Changelog](https://github.com/PyTorchLightning/metrics/blob/master/CHANGELOG.md) - [Commits](Lightning-AI/torchmetrics@v0.4.1...v0.9.1) --- updated-dependencies: - dependency-name: torchmetrics dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Fix mypy errors for model summary utilities (#13384) * rename org Lightning AI * Modified python version check to accommodate for legacy version styles (#13420) Co-authored-by: Carlos Mocholí <[email protected]> (cherry picked from commit b332b66) * Call `set_epoch` for distributed batch samplers (#13396) Co-authored-by: Jirka <[email protected]> Co-authored-by: Rohit Gupta <[email protected]> (cherry picked from commit 2dd332f) * _RICH_AVAILABLE * _FAIRSCALE_AVAILABLE * _BAGUA_AVAILABLE * redefine * chlog spaces * CI: Fix `fatal: unsafe repository` (#13515) * update release date * CI: azure rename * Restore log step during restart (#13467) Co-authored-by: Carlos Mocholí <[email protected]> * remove redundant test * Update CI setup (#13291) * drop mamba * use legacy GPU machines * fix schema check Co-authored-by: Jirka Borovec <[email protected]> Co-authored-by: Akihiro Nitta <[email protected]> Co-authored-by: Carlos Mocholí <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Adam J. Stewart <[email protected]> Co-authored-by: Sean Naren <[email protected]> Co-authored-by: Adrian Wälchli <[email protected]> Co-authored-by: Jirka <[email protected]> Co-authored-by: Martino Sorbaro <[email protected]>
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What does this PR do?
Closes #12317.
This is a solution to fixing
estimated_stepping_batches
for theDeepSpeedStrategy
.This solution is optimal, however, touches internals which may prove error-prone in the future. The reason we do not use
model_to_device
is that we do not want to move the entire model to the device when using DeepSpeed Stage 3. We rely on DeepSpeed to manage device sharding/assignment.Before submitting
PR review
Anyone in the community is welcome to review the PR.
Before you start reviewing, make sure you have read the review guidelines. In short, see the following bullet-list:
Did you have fun?
Make sure you had fun coding 🙃
cc @Borda @SeanNaren @awaelchli @rohitgr7 @akihironitta