release 0.7.6 (#1813)

* release 0.7.6rc2

* release 0.7.6

* include img

* smaller image

* missing

* miss

* miss

* miss

* up

CHANGELOG.md

@@ -4,75 +4,53 @@ 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
+## [0.7.6] - 2020-05-16
 
 ### Added
 
-- Added support for Pytorch elastic distributed launch environment ([#1811](https://github.com/PyTorchLightning/pytorch-lightning/pull/1811))
-
 - Added callback for logging learning rates ([#1498](https://github.com/PyTorchLightning/pytorch-lightning/pull/1498))
-
 - Added transfer learning example (for a binary classification task in computer vision) ([#1564](https://github.com/PyTorchLightning/pytorch-lightning/pull/1564))
-
 - Added type hints in `Trainer.fit()` and `Trainer.test()` to reflect that also a list of dataloaders can be passed in ([#1723](https://github.com/PyTorchLightning/pytorch-lightning/pull/1723)).
-
 - Added auto scaling of batch size ([#1638](https://github.com/PyTorchLightning/pytorch-lightning/pull/1638))
-
 - The progress bar metrics now also get updated in `training_epoch_end` ([#1724](https://github.com/PyTorchLightning/pytorch-lightning/pull/1724))
-
 - Enable `NeptuneLogger` to work with `distributed_backend=ddp` ([#1753](https://github.com/PyTorchLightning/pytorch-lightning/pull/1753))
-
 - Added option to provide seed to random generators to ensure reproducibility ([#1572](https://github.com/PyTorchLightning/pytorch-lightning/pull/1572))
-
 - Added override for hparams in `load_from_ckpt` ([#1797](https://github.com/PyTorchLightning/pytorch-lightning/pull/1797))
+- Added support multi-node distributed execution under `torchelastic` ([#1811](https://github.com/PyTorchLightning/pytorch-lightning/pull/1811), [#1818](https://github.com/PyTorchLightning/pytorch-lightning/pull/1818))
+- Added using `store_true` for bool args ([#1822](https://github.com/PyTorchLightning/pytorch-lightning/pull/1822), [#1842](https://github.com/PyTorchLightning/pytorch-lightning/pull/1842))
+- Added dummy logger for internally disabling logging for some features ([#1836](https://github.com/PyTorchLightning/pytorch-lightning/pull/1836))
 
 ### Changed
 
 - Enable `non-blocking` for device transfers to GPU ([#1843](https://github.com/PyTorchLightning/pytorch-lightning/pull/1843))
-
 - Replace mata_tags.csv with hparams.yaml ([#1271](https://github.com/PyTorchLightning/pytorch-lightning/pull/1271))
-
 - Reduction when `batch_size < num_gpus` ([#1609](https://github.com/PyTorchLightning/pytorch-lightning/pull/1609))
-
 - Updated LightningTemplateModel to look more like Colab example ([#1577](https://github.com/PyTorchLightning/pytorch-lightning/pull/1577))
-
 - Don't convert `namedtuple` to `tuple` when transferring the batch to target device ([#1589](https://github.com/PyTorchLightning/pytorch-lightning/pull/1589))
-
 - Allow passing hparams as keyword argument to LightningModule when loading from checkpoint ([#1639](https://github.com/PyTorchLightning/pytorch-lightning/pull/1639))
+- Args should come after the last positional argument ([#1807](https://github.com/PyTorchLightning/pytorch-lightning/pull/1807))
 
 ### Deprecated
 
 - Deprecated `tags_csv` in favor of `hparams_file` ([#1271](https://github.com/PyTorchLightning/pytorch-lightning/pull/1271))
 
-### Removed
-
 ### Fixed
 
 - Fixed broken link in PR template ([#1675](https://github.com/PyTorchLightning/pytorch-lightning/pull/1675))
-
 - Fixed ModelCheckpoint not None checking filepath ([#1654](https://github.com/PyTorchLightning/pytorch-lightning/pull/1654))
-
 - Trainer now calls `on_load_checkpoint()` when resuming from a checkpoint ([#1666](https://github.com/PyTorchLightning/pytorch-lightning/pull/1666))
-
 - Fixed sampler logic for ddp with iterable dataset ([#1734](https://github.com/PyTorchLightning/pytorch-lightning/pull/1734))
-
 - Fixed `_reset_eval_dataloader()` for IterableDataset ([#1560](https://github.com/PyTorchLightning/pytorch-lightning/pull/1560))
-
 - Fixed Horovod distributed backend to set the `root_gpu` property ([#1669](https://github.com/PyTorchLightning/pytorch-lightning/pull/1669))
-
 - Fixed wandb logger `global_step` affects other loggers ([#1492](https://github.com/PyTorchLightning/pytorch-lightning/issues/1485))
-
 - Fixed disabling progress bar on non-zero ranks using Horovod backend ([#1709](https://github.com/PyTorchLightning/pytorch-lightning/pull/1709))
-
 - Fixed bugs that prevent lr finder to be used together with early stopping and validation dataloaders ([#1676](https://github.com/PyTorchLightning/pytorch-lightning/pull/1676))
-
 - Fixed a bug in Trainer that prepended the checkpoint path with `version_` when it shouldn't ([#1748](https://github.com/PyTorchLightning/pytorch-lightning/pull/1748))
-
 - Fixed lr key name in case of param groups in LearningRateLogger ([#1719](https://github.com/PyTorchLightning/pytorch-lightning/pull/1719))
-
 - Fixed saving native AMP scaler state (introduced in [#1561](https://github.com/PyTorchLightning/pytorch-lightning/pull/1561))
-
 - Fixed accumulation parameter and suggestion method for learning rate finder ([#1801](https://github.com/PyTorchLightning/pytorch-lightning/pull/1801))
+- Fixed num processes wasn't being set properly and auto sampler was ddp failing ([#1819](https://github.com/PyTorchLightning/pytorch-lightning/pull/1819))
+- Fixed bugs in semantic segmentation example ([#1824](https://github.com/PyTorchLightning/pytorch-lightning/pull/1824))
 
 ## [0.7.5] - 2020-04-27
 

MANIFEST.in

@@ -26,7 +26,7 @@ exclude tests
 recursive-exclude docs *
 exclude docs
 recursive-include docs/source/_images/logos/ *
-recursive-include docs/source/_images/general/ pl_overview* tf_*
+recursive-include docs/source/_images/general/ pl_overview* tf_* tutorial_*
 
 # Include the Requirements
 include requirements.txt

README.md

@@ -12,7 +12,7 @@
 [![codecov](https://codecov.io/gh/PyTorchLightning/pytorch-lightning/branch/master/graph/badge.svg)](https://codecov.io/gh/PyTorchLightning/pytorch-lightning)
 [![CodeFactor](https://www.codefactor.io/repository/github/pytorchlightning/pytorch-lightning/badge)](https://www.codefactor.io/repository/github/pytorchlightning/pytorch-lightning)
 
-[![ReadTheDocs](https://readthedocs.org/projects/pytorch-lightning/badge/?version=0.7.5)](https://pytorch-lightning.readthedocs.io/en/stable/)
+[![ReadTheDocs](https://readthedocs.org/projects/pytorch-lightning/badge/?version=stable)](https://pytorch-lightning.readthedocs.io/en/stable/)
 [![Slack](https://img.shields.io/badge/slack-chat-green.svg?logo=slack)](https://join.slack.com/t/pytorch-lightning/shared_invite/enQtODU5ODIyNTUzODQwLTFkMDg5Mzc1MDBmNjEzMDgxOTVmYTdhYjA1MDdmODUyOTg2OGQ1ZWZkYTQzODhhNzdhZDA3YmNhMDhlMDY4YzQ)
 [![license](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/PytorchLightning/pytorch-lightning/blob/master/LICENSE)
 [![Next Release](https://img.shields.io/badge/Next%20Release-May%2020-<COLOR>.svg)](https://shields.io/)
@@ -44,6 +44,7 @@ pip install pytorch-lightning
 
 ## Docs
 - [master](https://pytorch-lightning.readthedocs.io/en/latest)
+- [0.7.6](https://pytorch-lightning.readthedocs.io/en/0.7.6/)
 - [0.7.5](https://pytorch-lightning.readthedocs.io/en/0.7.5/)
 - [0.7.3](https://pytorch-lightning.readthedocs.io/en/0.7.3/)
 - [0.7.1](https://pytorch-lightning.readthedocs.io/en/0.7.1/)
@@ -51,7 +52,7 @@ pip install pytorch-lightning
 - [0.5.3.2](https://pytorch-lightning.readthedocs.io/en/0.5.3.2/)
 
 ## Refactoring your PyTorch code + benefits + full walk-through
-[![Watch the video](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/docs/source/_images/general/tutorial_cover.png)](https://www.youtube.com/watch?v=QHww1JH7IDU)
+[![Watch the video](docs/source/_images/general/tutorial_cover.jpg)](https://www.youtube.com/watch?v=QHww1JH7IDU)
 
 ## Demo
 Here's a minimal example without a validation or test loop.

pytorch_lightning/__init__.py

@@ -1,6 +1,6 @@
 """Root package info."""
 
-__version__ = '0.7.6rc4'
+__version__ = '0.7.6'
 __author__ = 'William Falcon et al.'
 __author_email__ = 'waf2107@columbia.edu'
 __license__ = 'Apache-2.0'