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adding missing changelogs #5019

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Dec 9, 2020
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adding missing changelogs #5019

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160e394
adding missing changelogs
Borda Dec 8, 2020
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Merge branch 'master' into docs/changelog
Borda Dec 9, 2020
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39 changes: 26 additions & 13 deletions CHANGELOG.md
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Expand Up @@ -4,18 +4,8 @@ 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

### Added

- 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))

### Fixed

- Fixed `LoggerConnector` to have logged metrics on root device in DP ([#4138](https://github.com/PyTorchLightning/pytorch-lightning/pull/4138))


## [1.1.0rc] - 2020-12-02
## [1.1.0rc2] - 2020-12-02

### Added

Expand Down Expand Up @@ -89,6 +79,15 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- 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))
Expand All @@ -108,6 +107,12 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- 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))


### Deprecated

- Deprecated `prefix` argument in `ModelCheckpoint` ([#4765](https://github.com/PyTorchLightning/pytorch-lightning/pull/4765))
Expand All @@ -127,12 +132,22 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).

- 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))


## [1.0.8] - 2020-11-24

### Added
Expand Down Expand Up @@ -166,11 +181,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).

- Added lambda closure to `manual_optimizer_step` ([#4618](https://github.com/PyTorchLightning/pytorch-lightning/pull/4618))


### Changed

- Change Metrics `persistent` default mode to `False` ([#4685](https://github.com/PyTorchLightning/pytorch-lightning/pull/4685))

- LoggerConnector log_metrics will use `total_batch_idx` instead of `global_step` when logging on `training step` ([#4738](https://github.com/PyTorchLightning/pytorch-lightning/pull/4738))


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2 changes: 1 addition & 1 deletion pytorch_lightning/__init__.py
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@@ -1,6 +1,6 @@
"""Root package info."""

__version__ = '1.1.0rc1'
__version__ = '1.1.0rc2'
__author__ = 'William Falcon et al.'
__author_email__ = 'waf2107@columbia.edu'
__license__ = 'Apache-2.0'
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