From 9770e1dd10ed198acef5c6432ef42a116bf9eb35 Mon Sep 17 00:00:00 2001 From: Danielle Pintz Date: Tue, 28 Sep 2021 03:21:54 +0000 Subject: [PATCH] Removed deprecated property is_using_torchelastic from AcceleratorConnector --- CHANGELOG.md | 2 ++ .../trainer/connectors/accelerator_connector.py | 14 -------------- 2 files changed, 2 insertions(+), 14 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index d85d89169a928..055a760d31ec3 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -351,6 +351,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/). - Removed deprecated properties `DeepSpeedPlugin.cpu_offload*` in favor of `offload_optimizer`, `offload_parameters` and `pin_memory` ([#9244](https://github.com/PyTorchLightning/pytorch-lightning/pull/9244)) +- Removed deprecated property `is_using_torchelastic` from AcceleratorConnector in favor of `TorchElasticEnvironment.is_using_torchelastic()` + ### Fixed diff --git a/pytorch_lightning/trainer/connectors/accelerator_connector.py b/pytorch_lightning/trainer/connectors/accelerator_connector.py index 8576d6cd140cf..1248c41b54c28 100644 --- a/pytorch_lightning/trainer/connectors/accelerator_connector.py +++ b/pytorch_lightning/trainer/connectors/accelerator_connector.py @@ -534,20 +534,6 @@ def root_gpu(self) -> Optional[int]: def is_training_type_in_plugins(self) -> bool: return any(isinstance(plug, str) and plug in TrainingTypePluginsRegistry for plug in self.plugins) - @property - def is_using_torchelastic(self) -> bool: - """ - .. deprecated:: v1.3 - Will be removed in v1.5.0. - Returns: - ``True`` if the current process was launched using the torchelastic command. - """ - rank_zero_deprecation( - "The property `AcceleratorConnector.is_using_torchelastic` was deprecated in v1.3" - " and will be removed in 1.5. Use `TorchElasticEnvironment.is_using_torchelastic()` instead." - ) - return TorchElasticEnvironment.is_using_torchelastic() - def select_precision_plugin(self) -> PrecisionPlugin: # set precision type self.amp_type = AMPType.from_str(self.amp_type)