5d040e7fc6
Add support for `dataloader_iter` to validate and test steps ( #11546 )
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2022-02-24 18:01:35 +00:00
c877d54c04
Fix passing _ddp_params_and_buffers_to_ignore ( #11949 )
2022-02-24 17:22:48 +00:00
d9938da8a4
add properties to check for trainer state in pytorch profier ( #12063 )
2022-02-24 17:03:16 +05:30
1fa0639bca
Set the last global step saved only when actually saving ( #12057 )
2022-02-24 09:43:50 +01:00
49420548ce
Update warnings for available accelerators not being used ( #11909 )
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2022-02-24 09:12:02 +01:00
a8ee5cacb7
Further clean up aggregation logic ( #12053 )
2022-02-23 21:42:51 +00:00
1026ceb86d
Fixed a small issue in the documentation for FeatureExtractorFreezeUnfreeze ( #12049 )
2022-02-23 13:03:34 +00:00
1ef34c5ffd
[CLI] Add config `-c` argument ( #12039 )
2022-02-23 13:49:01 +05:30
550d3a640d
Improve annotations for `_defaults_from_env_vars` decorator ( #11888 )
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2022-02-22 19:12:52 +00:00
2d043857ee
Add callback to manage fault-tolerance checkpoints ( #11862 )
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2022-02-22 13:55:29 +00:00
d0f54609de
Fix `is_interactive_compatible` logic after AcceleratorConnector rewrite ( #12008 )
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for more information, see https://pre-commit.ci
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2022-02-22 19:20:54 +05:30
4c4b9d540f
Remove `Trainer._device_type` ( #11992 )
2022-02-22 13:02:13 +00:00
d541cf4c64
remove ddp procs collection from script launcher ( #12029 )
2022-02-22 12:39:48 +01:00
5ea811b1d9
Avoid loading dataloaders if `limit_batches=0` ( #11576 )
2022-02-22 11:33:53 +00:00
de1815f4ba
Remove `DDPSpawnStrategy.get_mp_spawn_kwargs` in favor of launchers ( #11966 )
2022-02-22 11:28:21 +00:00
6ff38d4c8e
Update RichProgressBarTheme after detecting light theme on colab ( #10993 )
2022-02-22 05:32:27 +00:00
11bd176d2f
Add XLA Profiler section to docs ( #11436 )
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2022-02-22 05:21:41 +00:00
60fe1520fd
Remove calls to profile `model_forward` ( #12032 )
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2022-02-21 23:32:38 +00:00
e50653da08
Deprecate `agg_key_funcs`, `agg_default_func`, and `update_agg_funcs` from `LightningLoggerBase` ( #11871 )
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2022-02-21 22:35:59 +00:00
ab2e326e01
Clarify `val_check_interval` description ( #11951 )
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2022-02-21 21:20:34 +00:00
40308f76a1
add default args in Trainer methods doc ( #11614 )
2022-02-21 20:39:20 +00:00
57aae5912e
Refactor signature for launcher ( #11967 )
2022-02-21 21:11:50 +01:00
d724465ae6
Fix docstrings of on_fit_start/end #12016
2022-02-21 20:50:10 +01:00
3579a3083f
Describe the behavior with `limit_*_batches=1|1.0` ( #11950 )
2022-02-21 15:12:03 +01:00
08384c45ea
Support manual optimization step profiling without a trainer reference ( #11883 )
2022-02-21 13:43:12 +00:00
0771a553de
Remove `Trainer._strategy_type` ( #11990 )
2022-02-21 13:39:30 +00:00
e15a66412c
Add back deterministic support in accelerator_connector ( #11999 )
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2022-02-20 18:11:47 +00:00
0374fe65db
Support gradient accumulation using Horovod's `backward_passes_per_step` ( #11911 )
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2022-02-19 02:54:04 +01:00
cf64f34434
Refactor `Strategy._move_optimizer_states` as utility functions ( #11758 )
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2022-02-18 08:36:07 +00:00
d61371922b
Deprecate and remove calls to agg_and_log_metrics ( #11832 )
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2022-02-18 02:54:33 +00:00
73e9ca343a
Remove `log_text`, and `log_image` from `LightningLoggerBase` API ( #11857 )
2022-02-17 18:09:09 -08:00
6e14209185
Rewrite accelerator_connector ( #11448 )
2022-02-17 23:38:39 +00:00
25b505508d
Add process launchers ( #11643 )
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2022-02-17 21:16:51 +00:00
4dba492fb5
Update horovod.py ( #11917 )
2022-02-16 21:58:54 -08:00
d902b59886
Fix environment variable order for global rank determination ( #11406 )
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2022-02-17 02:09:05 +00:00
62ebd42ce0
Update ddp.py ( #11929 )
2022-02-16 17:29:07 -08:00
87bd54aedf
fix typos ( #11937 )
2022-02-16 17:27:51 -08:00
4cc05b2cf9
Support optimizer step progress tracking with manual optimization ( #11848 )
2022-02-16 21:27:27 +00:00
963adc7857
Small cleanup when dataloader states are saved ( #11843 )
2022-02-16 20:57:21 +00:00
d69b33f1f0
Introduce `Stateful` PrecisionPlugin ( #11638 )
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2022-02-14 15:56:09 +05:30
914f685ed8
Update typing for CometLogger.experiment ( #11836 )
2022-02-14 09:16:11 +00:00
79c4e5de60
Refine the pytorch profiler ( #11268 )
2022-02-11 14:50:18 +01:00
6f22b3623c
Fix master merge conflict ( #11858 )
2022-02-10 21:49:45 +00:00
1515ef90ee
Revert saving the dataloader and result collection by default ( #11842 )
2022-02-10 20:43:35 +01:00
789fae828d
Fix `current_epoch` value on training end ( #8578 )
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2022-02-10 17:55:59 +01:00
0e68734ddd
Make default logger name "lightning_logs" ( #11762 )
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2022-02-10 15:19:18 +05:30
8d23f6287a
Update module path for `LightningDeprecationWarning` in setup.cfg ( #11793 )
2022-02-10 08:59:32 +05:30
1b107c5892
Add `Accelerator.is_available()` interface requirement ( #11797 )
2022-02-09 15:11:27 -08:00
c618e59689
Fix `save_hyperparameters` when no parameters need saving ( #11827 )
2022-02-09 23:10:14 +00:00
a2d8c4f6a6
Create loggers property for Trainer and LightningModule ( #11683 )
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2022-02-09 23:39:41 +01:00
1e36cffbca
feat(wandb): support distributed modes ( #11650 )
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2022-02-09 19:53:21 +01:00
8394770d4a
Move data fetcher ownership to the loops ( #11621 )
2022-02-09 20:04:24 +05:30
24de29974c
bug fix #10872 ( #10965 )
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2022-02-09 14:15:49 +00:00
8822117200
Return the output of the optimizer step ( #11711 )
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2022-02-09 09:37:13 +00:00
9e63281a4c
remove todos ( #11804 )
2022-02-09 08:30:27 +00:00
9d4de3a863
Faster callback configuration validator checks ( #11785 )
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2022-02-09 08:24:14 +00:00
182c18d319
Configure native deepspeed schedulers with interval='step' ( #11788 )
2022-02-09 08:20:50 +00:00
1203094a20
Introduce `Stateful` DataModule ( #11637 )
2022-02-07 21:13:24 +01:00
43a89eb132
bug fix: restore_optimizers correctly handles non-mapping values in optimizer.state.values() ( #11757 )
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2022-02-07 14:55:06 +00:00
9ed44dee0d
Fix to avoid moving batch to device for DataParallel ( #11780 )
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2022-02-07 14:26:18 +00:00
581bf7f2f2
Deprecate `on_epoch_start/on_epoch_end` hook ( #11578 )
2022-02-07 14:15:27 +00:00
bbf27ed09a
Use fsspec in checkpoint connector for fault-tolerant training ( #11776 )
2022-02-07 13:29:41 +01:00
0ba25d3cac
Update DDPStrategy to use optimizers property from within class ( #11777 )
2022-02-07 13:28:37 +01:00
7ec1e66e17
reduce only loss with dp ( #11594 )
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2022-02-07 17:00:29 +05:30
f509e40ae3
Deprecate `on_before_accelerator_backend_setup` callback hook ( #11655 )
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2022-02-07 11:07:21 +00:00
a64438c897
Centralize rank_zero_only utilities into their own module ( #11747 )
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* Centralize rank_zero_only utilities into their own module
Fixes #11746
* PossibleUserWarning
* Update test_warnings.py
* update imports
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* Update CHANGELOG.md
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2022-02-07 08:09:55 +00:00
34c454c756
Small improvements to TB and CSV loggers ( #11764 )
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* small improvements to TB and CSV loggers
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2022-02-07 14:59:39 +09:00
7900aabe62
Keep `is_global_zero` definitions in sync across strategy and trainer ( #11761 )
2022-02-07 01:33:32 +05:30
dfda970572
Update TPU Spawn to use root_device instead of LightningModule's device ( #11750 )
2022-02-06 06:26:38 +00:00
9d8faecdb2
Allow Horovod `teardown()` to complete gracefully if exception thrown in callback setup ( #11752 )
2022-02-05 11:13:21 -08:00
819a747031
Use `root_device` in XLAStatsMonitor callback ( #11749 )
2022-02-05 10:09:08 -08:00
7d9454a3e9
Use `root_device` in DeviceStatsMonitor callback ( #11748 )
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* Use trainer.strategy.root_device in favor of LightningModule.device in DeviceStatsMonitor
Minor refactor to use the strategy's own `root_device` instead of the LightningModule's device property.
Attempts at manual model parallelization by extending this plugin will face difficulties with the assumption that the LightningModule has all of its parameters on the same device.
For those use cases, it is critical to remove the assumption that the module has a device property (device in general goes against PyTorch module's design principles:
- https://github.com/pytorch/pytorch/issues/7460
- https://github.com/PyTorchLightning/pytorch-lightning/pull/1790#discussion_r423459412
2022-02-05 11:20:15 +01:00
241c97e6eb
Update HorovodStrategy to use optimizers property from within class ( #11728 )
2022-02-05 10:04:55 +01:00
cc43d07db1
Remove legacy dead code in DDP script launch ( #11678 )
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2022-02-05 11:40:16 +05:30
3bc2407239
Allow access to ckpt_path within context of fit() ( #11696 )
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2022-02-05 05:23:16 +01:00
7da931d1ca
Support no pre-fetching ( #11606 )
2022-02-05 03:59:46 +00:00
c71a1d7ea2
Remove `self._log_dir` from `BaseProfiler` ( #11740 )
2022-02-05 04:45:48 +01:00
72db64d294
Use the strategy's `root_device` instead of the LightningModule's device property ( #11734 )
2022-02-05 04:33:25 +01:00
58324b5197
Improve the result printing at the end of evaluation ( #11332 )
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2022-02-05 03:03:22 +01:00
8a1b1eeef8
WandbLogger's log_image can use step argument ( #11716 )
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2022-02-05 01:02:41 +00:00
8c07d8bf90
Add `Trainer(strategy="bagua")` ( #11146 )
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2022-02-04 17:02:09 +00:00
2eca957b29
Minor refactors to `init_dist_connection` ( #11733 )
2022-02-04 13:33:49 +01:00
4d72110b51
Deprecate `on_batch_start/on_batch_end` callback hooks ( #11577 )
2022-02-03 19:51:56 +00:00
400201712f
added warning for distributedsampler in case of evaluation ( #11479 )
2022-02-03 18:42:13 +00:00
01abe72278
Fix to avoid val progress bar disappear after validate ( #11700 )
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2022-02-03 13:35:38 +00:00
e9065e9d42
Fix rich with uneven refresh rate tracking ( #11668 )
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2022-02-03 10:27:05 +00:00
7948ed703d
Avoid enforcing `shuffle=False` for eval dataloaders ( #11575 )
2022-02-03 09:35:31 +00:00
9ebd7df22a
Move progress bar disabling out of the Trainer ( #11377 )
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2022-02-03 06:29:32 +00:00
0cb64fb8ba
Fix mid-epoch warning call while resuming ( #11556 )
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2022-02-03 05:42:31 +00:00
d43fd0d4d6
Lazy initialize Strategy.parallel_devices ( #11572 )
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2022-02-03 04:25:16 +00:00
eceefdc602
Fix rich progress bar render only on main pbar ( #11690 )
2022-02-03 04:18:07 +00:00
6291af5c19
Replace occurrences of `on_before_accelerator_backend_setup_called` with `setup` ( #11568 )
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2022-02-03 04:14:33 +00:00
ed8a5dadce
Improving instructions in finetuning docstring ( #10484 )
2022-02-03 04:13:06 +00:00
f935319622
Allow a `CombinedLoader` as the training data in DDP ( #11648 )
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2022-02-03 04:01:20 +00:00
0e17f16438
Clarify what the default values for log are based on hooks ( #11611 )
2022-02-03 03:55:42 +00:00
c5de105276
fix available modules ( #11526 )
2022-02-03 03:38:16 +00:00
9934569373
Fix typo in `TensorBoardLogger.log_metrics` error message ( #11595 )
2022-02-03 03:18:54 +00:00
3d3172d3da
[CLI] Support shorthand for loggers ( #11533 )
2022-02-03 02:58:14 +00:00
0ea48416cd
Removed subsection in `LightningDataModule` ( #11675 )
2022-02-03 02:53:43 +00:00
0816a1997e
Add typing for utilities/memory.py ( #11545 )
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2022-02-03 02:34:05 +00:00
72f0e5bfae
Deprecate `on_configure_sharded_model` callback hook for v1.6 ( #11627 )
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2022-02-03 02:29:26 +00:00
6586dd23b7
Mark `CheckpointConnector` as protected ( #11550 )
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2022-02-03 02:26:08 +00:00
06e2635c71
Refactor get_filesystem to use native fsspec API ( #11708 )
2022-02-03 01:55:24 +00:00
d5aa7717aa
Remove experiment property from abstract class ( #11603 )
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2022-02-03 01:51:34 +00:00
ee049e123d
Fix rich progress bar metric render on epoch end ( #11689 )
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2022-02-03 01:43:48 +00:00
ec1379da2c
Rename `_SupportsStateDict` --> `_Stateful` Protocol ( #11469 )
2022-02-02 23:45:59 +01:00
b8e360dafa
[CLI] Fix bug that forces overriding `configure_optimizers` ( #11672 )
2022-02-02 22:44:00 +00:00
115a5d08e8
Decouple utilities from `LightningLoggerBase` ( #11484 )
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2022-02-02 23:29:01 +01:00
fbc1f9f1d9
Rename `Strategy.lr_schedulers` to `Strategy.lr_scheduler_configs` ( #11549 )
2022-02-02 22:10:01 +00:00
b8d2c65a37
Set the state before saving "last" or "none" checkpoints ( #11481 )
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2022-02-02 23:07:05 +01:00
d7944a13cd
Teardown all internal components on exception ( #11620 )
2022-02-02 21:10:19 +00:00
3eee8f18cf
Sort simple profiler summary based on mean duration ( #11671 )
2022-02-02 20:44:42 +00:00
76175217e4
Fix val_loop run on restart ( #11552 )
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2022-02-02 20:19:34 +00:00
a44881cd90
Changes in preparation to #8578 ( #11562 )
2022-02-02 19:57:08 +00:00
79a3ff690b
Add typing to data fetching ( #11515 )
2022-02-02 20:53:50 +01:00
fe34bf2a65
Remove useless pass and abc ( #11522 )
2022-01-24 08:19:57 +00:00
350c88e621
Let Accelerator inherit from ABC to make sure abstractmethod takes effect ( #11521 )
2022-01-23 20:47:43 +01:00
623dc974f5
Construct the hook kwargs inside each loop ( #11511 )
2022-01-22 15:57:12 +00:00
5ad5ba54c0
Refactor fetching function ( #11516 )
2022-01-20 20:06:58 +01:00
075b8801c9
Fix checkpoint values when saving and resetting the tuner state ( #11518 )
2022-01-20 18:54:40 +00:00
7295457a7b
[CLI] Save only the configuration used ( #11532 )
2022-01-20 12:35:43 +00:00
e78d658c8d
Remove access to `_short_id` in NeptuneLogger ( #11517 )
2022-01-20 12:07:42 +00:00
16a04b29eb
Mark SignalConnector as protected ( #11513 )
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Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2022-01-20 08:39:59 +01:00
1bd6fc979e
Remove `Strategy.on_tpu` property ( #11536 )
2022-01-20 08:25:26 +01:00
f41d1e5e5e
Remove `Strategy.on_gpu` ( #11537 )
2022-01-19 21:27:12 +00:00
f7f835fa0e
improve simple profiler output ( #11414 )
2022-01-18 19:58:34 +00:00
62818dbace
Use a dataclass as the scheduler config ( #11443 )
2022-01-18 20:23:32 +01:00
344ab1e0a5
Move the `lightning_optimizers` ownership to the `Strategy` ( #11444 )
2022-01-18 12:58:56 +01:00
033dba1494
Disable attaching samplers when using `IterableDataset` ( #11507 )
2022-01-17 23:33:57 +01:00
ef4677ae7b
Change the default `prog_bar=False` to `True` in `LightningModule.log_grad_norm` ( #11472 )
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* Reset on_step flag to True in log_grad_norm
* updated change log
Co-authored-by: Aki Nitta <nitta@akihironitta.com>
2022-01-18 02:34:50 +09:00
9cf9ded73b
Simplify data fetching ( #11466 )
2022-01-17 14:46:55 +00:00
cad604211b
update load_from_checkpoint docstrings ( #11467 )
2022-01-16 20:48:27 +00:00
18bbb39eef
Set `Loop.restarting` recursively ( #11442 )
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* Set `Loop.restarting` recursively
* Docs
* CHANGELOG
* Update pytorch_lightning/loops/epoch/training_epoch_loop.py
Co-authored-by: Aki Nitta <nitta@akihironitta.com>
2022-01-14 19:25:23 +09:00
9771e7dff6
Update introduction docs ( #11140 )
2022-01-13 21:11:43 +00:00
a80da35d5d
Fix compatibility with old checkpoints and fault-tolerance enabled ( #11439 )
2022-01-13 14:53:17 +01:00
96a53382ac
Update utilities API references ( #11450 )
2022-01-13 13:22:58 +00:00
5914fb748f
Add typing to accelerators/gpu.py ( #11333 )
2022-01-12 19:44:51 +00:00
00d1758bac
Update training tricks docs ( #11169 )
2022-01-12 16:26:03 +00:00
f5bbc2cf17
Avoid in-place ops during logging result updates ( #11401 )
...
Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2022-01-12 09:09:36 +01:00
221091afc4
move profiler docs ( #11431 )
2022-01-12 05:56:16 +00:00
8dc36c3745
Fix inconsistent exceptions raised with no `rich` installed ( #11360 )
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Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2022-01-12 03:55:51 +00:00
82c8875f33
Add `LightningModule.lr_scheduler_step` ( #10249 )
...
Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2022-01-12 03:53:49 +00:00
9771040621
Add typing to `TQDMProgressBar` ( #11369 )
2022-01-12 01:07:30 +00:00
6107ce8e0d
Add DETAIL logs for batch use cases ( #11008 )
2022-01-12 01:22:48 +01:00
06b8f82b8a
Update API references in doc ( #11357 )
2022-01-07 15:56:17 +01:00
59a7ba7605
Move `epoch_{start,end}` hooks from `TrainingEpochLoop` to `FitLoop` ( #11201 )
2022-01-06 15:13:18 +00:00
57567edeab
Move newly added Trainer methods to be with other methods ( #11335 )
2022-01-06 14:10:21 +00:00
42a1c72660
Add Accelerators section to Lightning docs ( #10755 )
2022-01-06 19:12:44 +05:30
8a549a550c
Integrate progress tracking into the progress bar ( #11213 )
2022-01-06 14:29:48 +01:00
3a2df4f75d
Fix typing in `pl.callbacks.xla_stats_monitor` ( #11219 )
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Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2022-01-06 12:51:02 +00:00
ananthsub