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@carmocca carmocca commented Apr 27, 2022

What does this PR do?

As usual

cc @Borda

otaj and others added 4 commits April 27, 2022 19:08
…th deepspeed (#12887)

Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>
* Fix ddp_comm_hook tests

* Refactor ddp_comm_hook tests

Co-authored-by: Akihiro Nitta <akihiro@pytorchlightning.ai>
@carmocca carmocca added this to the 1.6.x milestone Apr 27, 2022
@carmocca carmocca self-assigned this Apr 27, 2022
@carmocca carmocca changed the base branch from master to release/stable April 27, 2022 17:13
akihironitta and others added 3 commits April 28, 2022 18:42
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
…rly (#12857)

* first fix

* full bugfix + tests

* Apply Adrian's suggestion

* Add test with tensor(0)

* Minor code simplification

* change sorting to make the comment correct

Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
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carmocca commented May 3, 2022

@Borda @kaushikb11 Docs are failing with

Could not import extension pt_lightning_sphinx_theme.extensions.lightning_tutorials (exception: No module named 'pt_lightning_sphinx_theme.extensions.lightning_tutorials')

Do you know what's the issue?

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Borda commented May 3, 2022

Do you know what's the issue?

you need to pick #12920

@carmocca carmocca marked this pull request as ready for review May 3, 2022 17:14
carmocca and others added 7 commits May 3, 2022 19:15
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* allow pickling of KFoldLoop

* Update pl_examples/loop_examples/kfold.py

Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Nicolas Berger <nicolas.berger@inait.ai>
Co-authored-by: Kushashwa Ravi Shrimali <kushashwaravishrimali@gmail.com>
Co-authored-by: Sean Naren <sean@grid.ai>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
akihironitta and others added 8 commits May 3, 2022 19:15
* Update gpg key
* Use curl instead of wget
* Install key manually
* Fuse_modules in a qat-respecting way

* Add compatibility for PyTorch <1.11

In older pytorch versions, `fuse_modules` used the `Module.training`
flag to determine wheter fusion should be QAT-compliant or not, refer
https://github.com/pytorch/pytorch/releases/tag/v1.11.0

* Add CHANGELOG for pull #12891

* Fix conditional import of fuse_modules_qat

`torch.ao.quantization.fuse_modules_qat` was actually added in
torch 1.11.

* Update CHANGELOG.md

Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
…nsion

Update docs conf with renamed lightning extension
…ision=16` (#12965)

* Fix fully sharded mixed precision setter

* Add CHANGELOG.md
#12889)

Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
)

Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
@lexierule lexierule merged commit a64e1df into release/stable May 3, 2022
@lexierule lexierule deleted the 1.6.3-draft branch May 3, 2022 18:54
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