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Update logic for checking TPUs availability #6767

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merged 3 commits into from
Mar 31, 2021

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kaushikb11
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@kaushikb11 kaushikb11 commented Mar 31, 2021

What does this PR do?

Update logic for checking TPUs availability. Related to #6692

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@kaushikb11 kaushikb11 self-assigned this Mar 31, 2021
@kaushikb11 kaushikb11 added the bug Something isn't working label Mar 31, 2021
@kaushikb11 kaushikb11 added this to the 1.2.x milestone Mar 31, 2021
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LGTM !

queue = smp.SimpleQueue()
xmp.spawn(_fn, args=(queue, ), nprocs=1)
return queue.get()
return len(xm.get_xla_supported_devices("TPU")) > 0
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Really nice !

@@ -118,6 +118,9 @@ def new_process(self, process_idx: int, trainer, mp_queue) -> None:
self.__save_end_of_training_weights(self.lightning_module)
self.transfer_distrib_spawn_state_on_fit_end(results)

if self.global_rank == 0:
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Great !

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codecov bot commented Mar 31, 2021

Codecov Report

Merging #6767 (7c1dbee) into master (495c385) will decrease coverage by 5%.
The diff coverage is 50%.

@@           Coverage Diff           @@
##           master   #6767    +/-   ##
=======================================
- Coverage      91%     87%    -5%     
=======================================
  Files         192     192            
  Lines       12182   12191     +9     
=======================================
- Hits        11146   10597   -549     
- Misses       1036    1594   +558     

@@ -118,6 +118,9 @@ def new_process(self, process_idx: int, trainer, mp_queue) -> None:
self.__save_end_of_training_weights(self.lightning_module)
self.transfer_distrib_spawn_state_on_fit_end(results)

if self.global_rank == 0:
time.sleep(2)
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any reason why 2?

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Naa.

@kaushikb11 kaushikb11 merged commit 13f67ad into Lightning-AI:master Mar 31, 2021
kaushikb11 added a commit to kaushikb11/pytorch-lightning that referenced this pull request Apr 6, 2021
* Update logic for checking TPUs availability

* fix flake8

* add fix
lexierule pushed a commit that referenced this pull request Apr 7, 2021
* update readme by v1.2.x (#6728)

* [bugfix] Add support for omegaconf and tpu (#6741)

* fix_hydra

* update changelog

Co-authored-by: Your Name <you@example.com>

* [docs] Update Bolts link (#6743)

* Update Bolts link

* Update Bolts link

* formt

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Update logic for checking TPUs availability (#6767)

* Update logic for checking TPUs availability

* fix flake8

* add fix

* resolve bug (#6781)

* Fix validation progress counter with check_val_every_n_epoch > 1 (#5952)

Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>

* Remove extinct parameters from lightning_module.rst (#6801)

Fixes  #6800

* Update TPU docs for installation (#6794)

* fix boolean check on iterable dataset when len not defined (#6828)

* fix iterable dataset len check

* update predict and validate

* add validate to test

* add changelog

* add predict

* Sanitize `None` params during pruning (#6836)

* sanitize none params during pruning

* amend

* Fix `unfreeze_and_add_param_group` expects `modules` rather than `module` (#6822)

* Enforce an epoch scheduler interval when using SWA (#6588)

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

* Fix DPP + SyncBN (#6838)

* Fix DPP + SyncBN

Ensure that model is already on correct GPU before applying SyncBN conversion

* Fix order of SyncBN for ddp_spawn

* [Fix] TPU Training Type Plugin (#6816)

* Fix support for symlink save_dir in TensorBoardLogger (#6730)

* Add test for symlink support and initial fix

* Respond to comment and add docstring

* Update CHANGELOG.md

* Simplify

* Update pytorch_lightning/utilities/cloud_io.py

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

* Make `LightningLocalFileSystem` protected

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

* Fixed missing arguments in `lr_find` call (#6784)

There seem to be 3 arguments missing in the `lr_find` call in the tunining.py file.

* Update Changelog & version

* Fix TPU tests for checkpoint

Skip advanced profiler for torch > 1.8

Skip pytorch profiler for torch > 1.8

Fix save checkpoint logic for TPUs

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: thomas chaton <thomas@grid.ai>
Co-authored-by: Your Name <you@example.com>
Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>
Co-authored-by: Yuan-Hang Zhang <sailordiary@users.noreply.github.com>
Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Elizaveta Logacheva <elimohl@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Karthik Prasad <prasadkr@uci.edu>
Co-authored-by: Sadiq Jaffer <sadiq@toao.com>
Co-authored-by: Michael Baumgartner <m.baumgartner@ymail.com>
Co-authored-by: Eugene Khvedchenya <ekhvedchenya@gmail.com>
Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk>
Co-authored-by: Tharindu Hasthika <tharindubathigama@gmail.com>
lexierule pushed a commit that referenced this pull request Apr 7, 2021
* Update logic for checking TPUs availability

* fix flake8

* add fix
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4 participants