release 1.5.9

CHANGELOG.md

@@ -4,6 +4,13 @@ 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/).
 
+## [1.5.9] - 2022-01-11
+
+### Fixed
+
+- Pin sphinx-autodoc-typehints with <v1.15 ([#11400](https://github.com/PyTorchLightning/pytorch-lightning/pull/11400))
+- Skip testing with PyTorch 1.7 and Python 3.9 on Ubuntu ([#11217](https://github.com/PyTorchLightning/pytorch-lightning/pull/11217))
+
 
 ## [1.5.8] - 2022-01-05
 

pytorch_lightning/callbacks/lr_monitor.py

@@ -147,6 +147,7 @@ def _check_no_key(key: str) -> bool:
         self.last_momentum_values = {name + "-momentum": None for name in names_flatten}
 
     def on_train_batch_start(self, trainer: "pl.Trainer", *args: Any, **kwargs: Any) -> None:
+        assert trainer.logger is not None
         if not trainer.logger_connector.should_update_logs:
             return
 
@@ -158,6 +159,7 @@ def on_train_batch_start(self, trainer: "pl.Trainer", *args: Any, **kwargs: Any)
                 trainer.logger.log_metrics(latest_stat, step=trainer.global_step)
 
     def on_train_epoch_start(self, trainer: "pl.Trainer", *args: Any, **kwargs: Any) -> None:
+        assert trainer.logger is not None
         if self.logging_interval != "step":
             interval = "epoch" if self.logging_interval is None else "any"
             latest_stat = self._extract_stats(trainer, interval)

requirements.txt

@@ -11,3 +11,4 @@ torchmetrics>=0.4.1
 pyDeprecate==0.3.1
 packaging>=17.0
 typing-extensions
+setuptools==59.5.0 # required for https://github.com/pytorch/pytorch/pull/69904