Fix message

Author: carmocca

pytorch_lightning/trainer/connectors/accelerator_connector.py

@@ -817,7 +817,7 @@ def set_distributed_mode(self, distributed_backend: Optional[str] = None):
         if self.distributed_backend == DistributedType.DDP_CPU:
             if _TPU_AVAILABLE:
                 raise MisconfigurationException(
-                    "`strategy='ddp_cpu'` is not supported on TPU machines. "
+                    "`accelerator='ddp_cpu'` is not supported on TPU machines. "
                     "Learn more: https://github.com/PyTorchLightning/pytorch-lightning/issues/7810"
                 )
             if self.num_processes == 1 and self.num_nodes > 1:
@@ -826,7 +826,7 @@ def set_distributed_mode(self, distributed_backend: Optional[str] = None):
                 self._distrib_type = DistributedType.DDP_SPAWN
             if self.num_gpus > 0:
                 rank_zero_warn(
-                    "You requested one or more GPUs, but set `strategy='ddp_cpu'`. Training will not use GPUs."
+                    "You requested one or more GPUs, but set `accelerator='ddp_cpu'`. Training will not use GPUs."
                 )
                 self.parallel_device_ids = None
             if self.num_processes is None:

tests/accelerators/test_tpu.py

@@ -222,7 +222,6 @@ def on_train_end(self, trainer, pl_module):
 
 @RunIf(tpu=True)
 def test_ddp_cpu_not_supported_on_tpus():
-
     with pytest.raises(MisconfigurationException, match="`accelerator='ddp_cpu'` is not supported on TPU machines"):
         Trainer(accelerator="ddp_cpu")