release 1.1.0 (#5048)

* release 1.1.0

* pep8

Author: Borda

CHANGELOG.md

@@ -5,148 +5,73 @@ 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/).
 
 
-## [1.1.0rc2] - 2020-12-02
+## [1.1.0] - 2020-12-09
 
 ### Added
 
 - Added "monitor" key to saved `ModelCheckpoints` ([#4383](https://github.com/PyTorchLightning/pytorch-lightning/pull/4383))
-
-
 - Added `ConfusionMatrix` class interface ([#4348](https://github.com/PyTorchLightning/pytorch-lightning/pull/4348))
-
-
 - Added multiclass AUROC metric ([#4236](https://github.com/PyTorchLightning/pytorch-lightning/pull/4236))
-
-
 - Added global step indexing to the checkpoint name for a better sub-epoch checkpointing experience ([#3807](https://github.com/PyTorchLightning/pytorch-lightning/pull/3807))
-
-
 - Added optimizer hooks in callbacks ([#4379](https://github.com/PyTorchLightning/pytorch-lightning/pull/4379))
-
-
 - Added option to log momentum ([#4384](https://github.com/PyTorchLightning/pytorch-lightning/pull/4384))
-
-
 - Added `current_score` to `ModelCheckpoint.on_save_checkpoint` ([#4721](https://github.com/PyTorchLightning/pytorch-lightning/pull/4721))
-
-
 - Added logging using `self.log` in train and evaluation for epoch end hooks (
     [#4552](https://github.com/PyTorchLightning/pytorch-lightning/pull/4552),
     [#4495](https://github.com/PyTorchLightning/pytorch-lightning/pull/4495),
     [#4439](https://github.com/PyTorchLightning/pytorch-lightning/pull/4439))
     [#4684](https://github.com/PyTorchLightning/pytorch-lightning/pull/4684))
     [#4913](https://github.com/PyTorchLightning/pytorch-lightning/pull/4913))
-
-
 - Added ability for DDP plugin to modify optimizer state saving ([#4675](https://github.com/PyTorchLightning/pytorch-lightning/pull/4675))
-
-
-- Updated `fast_dev_run` to accept integer representing num_batches ([#4629](https://github.com/PyTorchLightning/pytorch-lightning/pull/4629))
-
-
 - Added casting to python types for numpy scalars when logging hparams ([#4647](https://github.com/PyTorchLightning/pytorch-lightning/pull/4647))
-
-
 - Added `prefix` argument in loggers ([#4557](https://github.com/PyTorchLightning/pytorch-lightning/pull/4557))
-
-
 - Added printing of total num of params, trainable and non-trainable params in ModelSummary ([#4521](https://github.com/PyTorchLightning/pytorch-lightning/pull/4521))
-
-
-- Added optimizer refactors ([#4658](https://github.com/PyTorchLightning/pytorch-lightning/pull/4658))
-
-
 - Added `PrecisionRecallCurve, ROC, AveragePrecision` class metric ([#4549](https://github.com/PyTorchLightning/pytorch-lightning/pull/4549))
-
-
 - Added custom `Apex` and `NativeAMP` as `Precision plugins` ([#4355](https://github.com/PyTorchLightning/pytorch-lightning/pull/4355))
-
-
 - Added `DALI MNIST` example ([#3721](https://github.com/PyTorchLightning/pytorch-lightning/pull/3721))
-
-
 - Added `sharded plugin` for DDP for multi-gpu training memory optimizations (
-                            [#4639](https://github.com/PyTorchLightning/pytorch-lightning/pull/4639),
-                            [#4686](https://github.com/PyTorchLightning/pytorch-lightning/pull/4686),
-                            [#4675](https://github.com/PyTorchLightning/pytorch-lightning/pull/4675),
-                            [#4737](https://github.com/PyTorchLightning/pytorch-lightning/pull/4737),
-                            [#4773](https://github.com/PyTorchLightning/pytorch-lightning/pull/4773))
-
-
+    [#4639](https://github.com/PyTorchLightning/pytorch-lightning/pull/4639),
+    [#4686](https://github.com/PyTorchLightning/pytorch-lightning/pull/4686),
+    [#4675](https://github.com/PyTorchLightning/pytorch-lightning/pull/4675),
+    [#4737](https://github.com/PyTorchLightning/pytorch-lightning/pull/4737),
+    [#4773](https://github.com/PyTorchLightning/pytorch-lightning/pull/4773))
 - Added `experiment_id` to the NeptuneLogger ([#3462](https://github.com/PyTorchLightning/pytorch-lightning/pull/3462))
-
-
 - Added `Pytorch Geometric` integration example with Lightning ([#4568](https://github.com/PyTorchLightning/pytorch-lightning/pull/4568))
-
-
 - Added `all_gather` method to `LightningModule` which allows gradient based tensor synchronizations for use-cases such as negative sampling. ([#5012](https://github.com/PyTorchLightning/pytorch-lightning/pull/5012))
-
-
 - Enabled `self.log` in most functions ([#4969](https://github.com/PyTorchLightning/pytorch-lightning/pull/4969))
-
-
 - Added changeable extension variable for `ModelCheckpoint` ([#4977](https://github.com/PyTorchLightning/pytorch-lightning/pull/4977))
 
 
 ### Changed
 
 - Removed `multiclass_roc` and `multiclass_precision_recall_curve`, use `roc` and `precision_recall_curve` instead ([#4549](https://github.com/PyTorchLightning/pytorch-lightning/pull/4549))
-
-
-
 - Tuner algorithms will be skipped if `fast_dev_run=True` ([#3903](https://github.com/PyTorchLightning/pytorch-lightning/pull/3903))
-
-
-
 - WandbLogger does not force wandb `reinit` arg to True anymore and creates a run only when needed ([#4648](https://github.com/PyTorchLightning/pytorch-lightning/pull/4648))
-
-
 - Changed `automatic_optimization` to be a model attribute ([#4602](https://github.com/PyTorchLightning/pytorch-lightning/pull/4602))
-
-
 - Changed `Simple Profiler` report to order by percentage time spent + num calls ([#4880](https://github.com/PyTorchLightning/pytorch-lightning/pull/4880))
-
-
 - Simplify optimization Logic ([#4984](https://github.com/PyTorchLightning/pytorch-lightning/pull/4984))
-
-
 - Classification metrics overhaul ([#4837](https://github.com/PyTorchLightning/pytorch-lightning/pull/4837))
+- Updated `fast_dev_run` to accept integer representing num_batches ([#4629](https://github.com/PyTorchLightning/pytorch-lightning/pull/4629))
+- Refactored optimizer ([#4658](https://github.com/PyTorchLightning/pytorch-lightning/pull/4658))
 
 
 ### Deprecated
 
 - Deprecated `prefix` argument in `ModelCheckpoint` ([#4765](https://github.com/PyTorchLightning/pytorch-lightning/pull/4765))
-
-
 - Deprecated the old way of assigning hyper-parameters through `self.hparams = ...` ([#4813](https://github.com/PyTorchLightning/pytorch-lightning/pull/4813))
-
-
 - Deprecated `mode='auto'` from `ModelCheckpoint` and `EarlyStopping` ([#4695](https://github.com/PyTorchLightning/pytorch-lightning/pull/4695))
 
-
 ### Removed
 
 - Removed `reorder` parameter of the `auc` metric ([#5004](https://github.com/PyTorchLightning/pytorch-lightning/pull/5004))
 
-
-
 ### Fixed
 
 - Added feature to move tensors to CPU before saving ([#4309](https://github.com/PyTorchLightning/pytorch-lightning/pull/4309))
-
-
 - Fixed `LoggerConnector` to have logged metrics on root device in DP ([#4138](https://github.com/PyTorchLightning/pytorch-lightning/pull/4138))
-
-
 - Auto convert tensors to contiguous format when `gather_all` ([#4907](https://github.com/PyTorchLightning/pytorch-lightning/pull/4907))
-
-
 - Fixed `PYTHONPATH` for ddp test model ([#4528](https://github.com/PyTorchLightning/pytorch-lightning/pull/4528))
-
-
 - Fixed allowing logger to support indexing ([#4595](https://github.com/PyTorchLightning/pytorch-lightning/pull/4595))
-
-
 - Fixed DDP and manual_optimization ([#4976](https://github.com/PyTorchLightning/pytorch-lightning/pull/4976))
 
 

pytorch_lightning/__init__.py

@@ -1,6 +1,6 @@
 """Root package info."""
 
-__version__ = '1.1.0rc2'
+__version__ = '1.1.0'
 __author__ = 'William Falcon et al.'
 __author_email__ = '[email protected]'
 __license__ = 'Apache-2.0'

pytorch_lightning/accelerators/accelerator.py

@@ -254,6 +254,3 @@ def block_ddp_plugin_sync_behaviour(self):
         """
         cm = self.ddp_plugin.block_backward_sync(self.trainer.model) if self.ddp_plugin else None
         yield cm
-
-
-

pytorch_lightning/setup_tools.py

@@ -161,6 +161,9 @@ def _load_long_description(path_dir: str) -> str:
     path_readme = os.path.join(path_dir, "README.md")
     text = open(path_readme, encoding="utf-8").read()
 
+    # drop images from readme
+    text = text.replace('![PT to PL](docs/source/_images/general/pl_quick_start_full_compressed.gif)', '')
+
     # https://github.com/PyTorchLightning/pytorch-lightning/raw/master/docs/source/_images/lightning_module/pt_to_pl.png
     github_source_url = os.path.join(__homepage__, "raw", __version__)
     # replace relative repository path to absolute link to the release