Lightning-AI · williamFalcon · Jun 18, 2020 · Jun 18, 2020 · Jun 18, 2020 · Jun 18, 2020
@@ -4,6 +4,17 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
+## [unreleased] - YYYY-MM-DD
+
+### Added
+
+### Changed
+
+### Deprecated
+
+### Removed
+
+### Fixed
 
 ## [0.8.0] - 2020-06-18
 
@@ -25,11 +36,11 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added a model hook `transfer_batch_to_device` that enables moving custom data structures to the target device ([1756](https://github.com/PyTorchLightning/pytorch-lightning/pull/1756))
 - Added [black](https://black.readthedocs.io/en/stable/) formatter for the code with code-checker on pull ([1610](https://github.com/PyTorchLightning/pytorch-lightning/pull/1610))
 - Added back the slow spawn ddp implementation as `ddp_spawn` ([#2115](https://github.com/PyTorchLightning/pytorch-lightning/pull/2115))
-- Added loading checkpoints from URLs ([#1667](https://github.com/PyTorchLightning/pytorch-lightning/issues/1667))
+- Added loading checkpoints from URLs ([#1667](https://github.com/PyTorchLightning/pytorch-lightning/pull/1667))
 - Added a callback method `on_keyboard_interrupt` for handling KeyboardInterrupt events during training ([#2134](https://github.com/PyTorchLightning/pytorch-lightning/pull/2134))
 - Added a decorator `auto_move_data` that moves data to the correct device when using the LightningModule for inference ([#1905](https://github.com/PyTorchLightning/pytorch-lightning/pull/1905))
-- Added `ckpt_path` option to `LightningModule.test(...)` to load particular checkpoint ([#2190](https://github.com/PyTorchLightning/pytorch-lightning/issues/2190))
-- Added `setup` and `teardown` hooks for model ([#2229](https://github.com/PyTorchLightning/pytorch-lightning/issues/2229))
+- Added `ckpt_path` option to `LightningModule.test(...)` to load particular checkpoint ([#2190](https://github.com/PyTorchLightning/pytorch-lightning/pull/2190))
+- Added `setup` and `teardown` hooks for model ([#2229](https://github.com/PyTorchLightning/pytorch-lightning/pull/2229))
 
 ### Changed
 
@@ -67,7 +78,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Run graceful training teardown on interpreter exit ([#1631](https://github.com/PyTorchLightning/pytorch-lightning/pull/1631))
 - Fixed user warning when apex was used together with learning rate schedulers ([#1873](https://github.com/PyTorchLightning/pytorch-lightning/pull/1873))
-- Fixed multiple calls of `EarlyStopping` callback ([#1751](https://github.com/PyTorchLightning/pytorch-lightning/issues/1751)) 
+- Fixed multiple calls of `EarlyStopping` callback ([#1863](https://github.com/PyTorchLightning/pytorch-lightning/pull/1863)) 
 - Fixed an issue with `Trainer.from_argparse_args` when passing in unknown Trainer args ([#1932](https://github.com/PyTorchLightning/pytorch-lightning/pull/1932))
 - Fixed bug related to logger not being reset correctly for model after tuner algorithms ([#1933](https://github.com/PyTorchLightning/pytorch-lightning/pull/1933))
 - Fixed root node resolution for SLURM cluster with dash in host name ([#1954](https://github.com/PyTorchLightning/pytorch-lightning/pull/1954))

@@ -21,12 +21,8 @@
 -->
 </div>
 
----   
-## Trending contributors
+----------------
 
-[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/0)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/0)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/1)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/1)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/2)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/2)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/3)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/3)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/4)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/4)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/5)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/5)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/6)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/6)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/7)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/7)
-
----
 ## Continuous Integration
 <center>
 
@@ -188,7 +184,7 @@ Although your research/production project might start simple, once you add thing
 
 Lightning is also part of the [PyTorch ecosystem](https://pytorch.org/ecosystem/) which requires projects to have solid testing, documentation and support.
 
----
+----------------
 
 ## README Table of Contents
 - [How do I use it](https://github.com/PytorchLightning/pytorch-lightning#how-do-i-do-use-it)
@@ -204,7 +200,7 @@ Lightning is also part of the [PyTorch ecosystem](https://pytorch.org/ecosystem/
 - [Lightning team](https://github.com/PytorchLightning/pytorch-lightning#lightning-team)
 - [FAQ](https://github.com/PytorchLightning/pytorch-lightning#faq)
 
----
+----------------
 
 ## Realistic example
 Here's how you would organize a realistic PyTorch project into Lightning.
@@ -369,7 +365,7 @@ Check out this awesome list of research papers and implementations done with Lig
 Check out our [introduction guide](https://pytorch-lightning.readthedocs.io/en/latest/introduction_guide.html) to get started.
 Or jump straight into [our tutorials](https://pytorch-lightning.readthedocs.io/en/latest/#tutorials).
 
----
+----------------
 
 ## Asking for help
 Welcome to the Lightning community!
@@ -380,7 +376,8 @@ If you have any questions, feel free to:
 3. [Ask on stackoverflow](https://stackoverflow.com/questions/ask?guided=false) with the tag pytorch-lightning.
 4. [Join our slack](https://join.slack.com/t/pytorch-lightning/shared_invite/zt-f6bl2l0l-JYMK3tbAgAmGRrlNr00f1A).
 
----
+----------------
+
 ## FAQ
 **How do I use Lightning for rapid research?**    
 [Here's a walk-through](https://pytorch-lightning.readthedocs.io/en/latest/introduction_guide.html)
@@ -447,6 +444,14 @@ pip install https://github.com/PytorchLightning/pytorch-lightning/archive/0.X.Y.
 - Adrian Wälchli [(awaelchli)](https://github.com/awaelchli)
 - Nicki Skafte [(skaftenicki)](https://github.com/SkafteNicki)
 
+----------------
+
+### Trending contributors
+
+[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/0)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/0)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/1)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/1)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/2)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/2)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/3)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/3)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/4)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/4)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/5)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/5)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/6)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/6)[![](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/images/7)](https://sourcerer.io/fame/williamFalcon/pytorchlightning/pytorch-lightning/links/7)
+
+----------------
+
 #### Funding    
 Building open-source software with only a few part-time people is hard! We've secured funding to make sure we can
 hire a full-time staff, attend conferences, and move faster through implementing features you request.
@@ -463,7 +468,7 @@ If you want to cite the framework feel free to use this (but only if you loved i
 @article{falcon2019pytorch,
   title={PyTorch Lightning},
   author={Falcon, WA},
-  journal={GitHub. Note: https://github. com/williamFalcon/pytorch-lightning Cited by},
+  journal={GitHub. Note: https://github.com/PyTorchLightning/pytorch-lightning Cited by},
   volume={3},
   year={2019}
 }

@@ -8,7 +8,7 @@
 Lightning offers 16-bit training for CPUs, GPUs and TPUs.
 
 GPU 16-bit
------------
+----------
 16 bit precision can cut your memory footprint by half.
 If using volta architecture GPUs it can give a dramatic training speed-up as well.
 

@@ -46,7 +46,7 @@ Example:
 We successfully extended functionality without polluting our super clean
 :class:`~pytorch_lightning.core.LightningModule` research code.
 
----
+----------------
 
 .. automodule:: pytorch_lightning.callbacks.base
    :noindex:
@@ -56,7 +56,7 @@ We successfully extended functionality without polluting our super clean
         _abc_impl,
         check_monitor_top_k,
 
----
+----------------
 
 .. automodule:: pytorch_lightning.callbacks.early_stopping
    :noindex:
@@ -66,7 +66,7 @@ We successfully extended functionality without polluting our super clean
         _abc_impl,
         check_monitor_top_k,
 
----
+----------------
 
 .. automodule:: pytorch_lightning.callbacks.gradient_accumulation_scheduler
    :noindex:
@@ -76,15 +76,15 @@ We successfully extended functionality without polluting our super clean
         _abc_impl,
         check_monitor_top_k,
 
----
+----------------
 
 .. automodule:: pytorch_lightning.callbacks.lr_logger
     :noindex:
     :exclude-members:
         _extract_lr,
         _find_names
 
----
+----------------
 
 .. automodule:: pytorch_lightning.callbacks.model_checkpoint
    :noindex:
@@ -94,7 +94,7 @@ We successfully extended functionality without polluting our super clean
         _abc_impl,
         check_monitor_top_k,
 
----
+----------------
 
 .. automodule:: pytorch_lightning.callbacks.progress
    :noindex:

@@ -7,8 +7,6 @@
 Experiment Logging
 ==================
 
----
-
 Comet.ml
 ^^^^^^^^
 
@@ -49,7 +47,7 @@ The :class:`~pytorch_lightning.loggers.CometLogger` is available anywhere except
 .. seealso::
     :class:`~pytorch_lightning.loggers.CometLogger` docs.
 
----
+----------------
 
 MLflow
 ^^^^^^
@@ -76,7 +74,7 @@ Then configure the logger and pass it to the :class:`~pytorch_lightning.trainer.
 .. seealso::
     :class:`~pytorch_lightning.loggers.MLFlowLogger` docs.
 
----
+----------------
 
 Neptune.ai
 ^^^^^^^^^^
@@ -116,7 +114,7 @@ The :class:`~pytorch_lightning.loggers.NeptuneLogger` is available anywhere exce
 .. seealso::
     :class:`~pytorch_lightning.loggers.NeptuneLogger` docs.
 
----
+----------------
 
 allegro.ai TRAINS
 ^^^^^^^^^^^^^^^^^
@@ -160,7 +158,7 @@ The :class:`~pytorch_lightning.loggers.TrainsLogger` is available anywhere in yo
 .. seealso::
     :class:`~pytorch_lightning.loggers.TrainsLogger` docs.
 
----
+----------------
 
 Tensorboard
 ^^^^^^^^^^^
@@ -186,7 +184,7 @@ The :class:`~pytorch_lightning.loggers.TensorBoardLogger` is available anywhere
 .. seealso::
     :class:`~pytorch_lightning.loggers.TensorBoardLogger` docs.
 
----
+----------------
 
 Test Tube
 ^^^^^^^^^
@@ -221,7 +219,7 @@ The :class:`~pytorch_lightning.loggers.TestTubeLogger` is available anywhere exc
 .. seealso::
     :class:`~pytorch_lightning.loggers.TestTubeLogger` docs.
 
----
+----------------
 
 Weights and Biases
 ^^^^^^^^^^^^^^^^^^

@@ -8,7 +8,7 @@ Fast Training
 There are multiple options to speed up different parts of the training by choosing to train
 on a subset of data. This could be done for speed or debugging purposes.
 
----
+----------------
 
 Check validation every n epochs
 -------------------------------
@@ -19,7 +19,7 @@ If you have a small dataset you might want to check validation every n epochs
     # DEFAULT
     trainer = Trainer(check_val_every_n_epoch=1)
 
----
+----------------
 
 Force training for min or max epochs
 ------------------------------------

@@ -12,7 +12,7 @@ To enable a hook, simply override the method in your LightningModule and the tra
 
 3. Add it in the correct place in :mod:`pytorch_lightning.trainer` where it should be called.
 
----
+----------------
 
 Hooks lifecycle
 ---------------
@@ -72,7 +72,7 @@ Test loop
 - ``torch.set_grad_enabled(True)``
 - :meth:`~pytorch_lightning.core.hooks.ModelHooks.on_post_performance_check`
 
----
+----------------
 
 General hooks
 -------------

@@ -5,13 +5,13 @@ Lightning supports running on TPUs. At this moment, TPUs are available
 on Google Cloud (GCP), Google Colab and Kaggle Environments. For more information on TPUs
 `watch this video <https://www.youtube.com/watch?v=kPMpmcl_Pyw>`_.
 
----
+----------------
 
 Live demo
 ----------
 Check out this `Google Colab <https://colab.research.google.com/drive/1-_LKx4HwAxl5M6xPJmqAAu444LTDQoa3>`_ to see how to train MNIST on TPUs.
 
----
+----------------
 
 TPU Terminology
 ---------------
@@ -23,7 +23,7 @@ A TPU pod hosts many TPUs on it. Currently, TPU pod v2 has 2048 cores!
 You can request a full pod from Google cloud or a "slice" which gives you
 some subset of those 2048 cores.
 
----
+----------------
 
 How to access TPUs
 ------------------

@@ -1,6 +1,6 @@
 """Root package info."""
 
-__version__ = '0.8.0'
+__version__ = '0.8.1-dev'
 __author__ = 'William Falcon et al.'
 __author_email__ = '[email protected]'
 __license__ = 'Apache-2.0'