Removed deprecated property is_using_torchelastic from AcceleratorConnector (#9729)

Author: daniellepintz

CHANGELOG.md

@@ -378,6 +378,9 @@ 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 `AcceleratorConnector.is_using_torchelastic` in favor of `TorchElasticEnvironment.is_using_torchelastic()` ([#9729](https://github.com/PyTorchLightning/pytorch-lightning/pull/9729))
+
+
 - Removed `pytorch_lightning.utilities.debugging.InternalDebugger` ([#9680](https://github.com/PyTorchLightning/pytorch-lightning/pull/9680))
 
 

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)