From eeef5a80ac4eac49dfca6d63c34a1c5627dbe496 Mon Sep 17 00:00:00 2001 From: Justus Schock <12886177+justusschock@users.noreply.github.com> Date: Tue, 9 Nov 2021 22:25:54 +0100 Subject: [PATCH] Update Changelog for v1.5.1 (#10439) * Missing Changelogs * Add 1.5.1 entry to changelog Co-authored-by: Kaushik B Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> --- CHANGELOG.md | 41 +++++++++++++++++------------------------ 1 file changed, 17 insertions(+), 24 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 657dd6c77f..901fef9405 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -107,37 +107,30 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/). ### Fixed -- Fixed `apply_to_collection(defaultdict)` ([#10316](https://github.com/PyTorchLightning/pytorch-lightning/issues/10316)) - - -- Fixed interception of `__init__` arguments for sub-classed DataLoader re-instantiation in Lite ([#10334](https://github.com/PyTorchLightning/pytorch-lightning/issues/10334)) - - -- Fixed failure when `DataLoader(batch_size=None)` is passed ([#10345](https://github.com/PyTorchLightning/pytorch-lightning/issues/10345)) - - Fixed `CombinedLoader` and `max_size_cycle` didn't receive a `DistributedSampler` ([#10374](https://github.com/PyTorchLightning/pytorch-lightning/issues/10374)) +- + + +- + + +## [1.5.1] - 2021-11-09 + +### Fixed + +- Fixed `apply_to_collection(defaultdict)` ([#10316](https://github.com/PyTorchLightning/pytorch-lightning/issues/10316)) +- Fixed failure when `DataLoader(batch_size=None)` is passed ([#10345](https://github.com/PyTorchLightning/pytorch-lightning/issues/10345)) +- Fixed interception of `__init__` arguments for sub-classed DataLoader re-instantiation in Lite ([#10334](https://github.com/PyTorchLightning/pytorch-lightning/issues/10334)) - Fixed issue with pickling `CSVLogger` after a call to `CSVLogger.save` ([#10388](https://github.com/PyTorchLightning/pytorch-lightning/pull/10388)) - - -- Fixed deadlocks for distributed training with `RichProgressBar` ([#10428](https://github.com/PyTorchLightning/pytorch-lightning/pull/10428)) - - +- Fixed an import error being caused by `PostLocalSGD` when `torch.distributed` not available ([#10359](https://github.com/PyTorchLightning/pytorch-lightning/pull/10359)) - Fixed the logging with `on_step=True` in epoch-level hooks causing unintended side-effects. Logging with `on_step=True` in epoch-level hooks will now correctly raise an error ([#10409](https://github.com/PyTorchLightning/pytorch-lightning/pull/10409)) - - -- Fixed dataloader workers with `persistent_workers` being deleted on every iteration ([#10434](https://github.com/PyTorchLightning/pytorch-lightning/pull/10434)) - - +- Fixed deadlocks for distributed training with `RichProgressBar` ([#10428](https://github.com/PyTorchLightning/pytorch-lightning/pull/10428)) - Fixed an issue where the model wrapper in Lite converted non-floating point tensors to float ([#10429](https://github.com/PyTorchLightning/pytorch-lightning/pull/10429)) - - -- - - -- +- Fixed an issue with inferring the dataset type in fault-tolerant training ([#10432](https://github.com/PyTorchLightning/pytorch-lightning/pull/10432)) +- Fixed dataloader workers with `persistent_workers` being deleted on every iteration ([#10434](https://github.com/PyTorchLightning/pytorch-lightning/pull/10434)) ## [1.5.0] - 2021-11-02