Remove AccleratorConnector.num_ipus and deprecate Trainer.ipus

CHANGELOG.md

@@ -539,6 +539,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Deprecated `Trainer.num_gpus` in favor of `Trainer.num_devices` when GPU is used ([#12384](https://github.com/PyTorchLightning/pytorch-lightning/pull/12384))
 
 
+- Deprecated `Trainer.ipus` in favor of `Trainer.num_devices` when IPU is used ([#12386](https://github.com/PyTorchLightning/pytorch-lightning/pull/12386))
+
+
 - Deprecated `Trainer.num_processes` in favor of `Trainer.num_devices` ([#12388](https://github.com/PyTorchLightning/pytorch-lightning/pull/12388))
 
 
@@ -738,6 +741,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Removed `AcceleratorConnector.num_gpus` property ([#12384](https://github.com/PyTorchLightning/pytorch-lightning/pull/12384))
 
 
+- Removed `AcceleratorConnector.num_ipus` property ([#12386](https://github.com/PyTorchLightning/pytorch-lightning/pull/12386))
+
+
 - Removed `AcceleratorConnector.num_processes` property ([#12388](https://github.com/PyTorchLightning/pytorch-lightning/pull/12388))
 
 

pytorch_lightning/trainer/connectors/accelerator_connector.py

@@ -798,6 +798,13 @@ def tpu_cores(self) -> Optional[Union[List[int], int]]:
             return self._tpu_cores  # type: ignore
         return 0
 
+    @property
+    def tpu_id(self) -> Optional[int]:
+        if isinstance(self.accelerator, TPUAccelerator):
+            if isinstance(self._tpu_cores, list):
+                return self._tpu_cores[0]
+        return None
+
     @property
     def num_ipus(self) -> int:
         if isinstance(self.accelerator, IPUAccelerator):

pytorch_lightning/trainer/trainer.py

@@ -1811,7 +1811,7 @@ def _log_device_info(self) -> None:
         )
         rank_zero_info(f"TPU available: {_TPU_AVAILABLE}, using: {num_tpu_cores} TPU cores")
 
-        num_ipus = self.ipus if self.ipus is not None else 0
+        num_ipus = self.num_devices if isinstance(self.accelerator, IPUAccelerator) else 0
         rank_zero_info(f"IPU available: {_IPU_AVAILABLE}, using: {num_ipus} IPUs")
 
         if torch.cuda.is_available() and not isinstance(self.accelerator, GPUAccelerator):
@@ -2090,7 +2090,11 @@ def tpu_cores(self) -> int:
 
     @property
     def ipus(self) -> int:
-        return self._accelerator_connector.num_ipus
+        rank_zero_deprecation(
+            "`Trainer.ipus` was deprecated in v1.6 and will be removed in v1.8."
+            " Please use `Trainer.num_devices` instead."
+        )
+        return self.num_devices if isinstance(self.accelerator, IPUAccelerator) else 0
 
     @property
     def num_gpus(self) -> int:

tests/accelerators/test_ipu.py

@@ -464,7 +464,8 @@ def test_replication_factor(tmpdir):
 
     plugin = IPUStrategy()
     trainer = Trainer(ipus=2, default_root_dir=tmpdir, fast_dev_run=True, strategy=plugin)
-    assert trainer.ipus == 2
+    assert isinstance(trainer.accelerator, IPUAccelerator)
+    assert trainer.num_devices == 2
     assert trainer.strategy.replication_factor == 2
 
     model = BoringModel()
@@ -561,16 +562,16 @@ def test_accelerator_ipu_with_devices():
 
     trainer = Trainer(accelerator="ipu", devices=8)
 
-    assert trainer.ipus == 8
     assert isinstance(trainer.strategy, IPUStrategy)
     assert isinstance(trainer.accelerator, IPUAccelerator)
+    assert trainer.num_devices == 8
 
 
 @RunIf(ipu=True)
 def test_accelerator_auto_with_devices_ipu():
     trainer = Trainer(accelerator="auto", devices=8)
     assert isinstance(trainer.accelerator, IPUAccelerator)
-    assert trainer.ipus == 8
+    assert trainer.num_devices == 8
 
 
 @RunIf(ipu=True)
@@ -581,7 +582,8 @@ def test_accelerator_ipu_with_ipus_priority():
     with pytest.warns(UserWarning, match="The flag `devices=1` will be ignored,"):
         trainer = Trainer(accelerator="ipu", devices=1, ipus=ipus)
 
-    assert trainer.ipus == ipus
+    assert isinstance(trainer.accelerator, IPUAccelerator)
+    assert trainer.num_devices == ipus
 
 
 @RunIf(ipu=True)
@@ -632,4 +634,4 @@ def test_poptorch_models_at_different_stages(tmpdir):
 def test_devices_auto_choice_ipu():
     trainer = Trainer(accelerator="auto", devices="auto")
     assert trainer.num_devices == 4
-    assert trainer.ipus == 4
+    assert isinstance(trainer.accelerator, IPUAccelerator)

tests/deprecated_api/test_remove_1-8.py

@@ -22,6 +22,7 @@
 import torch
 from torch import optim
 
+import pytorch_lightning
 from pytorch_lightning import Callback, Trainer
 from pytorch_lightning.loggers import CSVLogger, LightningLoggerBase, LoggerCollection
 from pytorch_lightning.plugins.precision.precision_plugin import PrecisionPlugin
@@ -986,6 +987,26 @@ def stop(self, action_name: str) -> None:
     CustomProfiler2()
 
 
+@pytest.mark.parametrize(
+    ["trainer_kwargs", "expected_ipus"],
+    [
+        ({}, 0),
+        ({"devices": 1}, 0),
+        ({"accelerator": "ipu", "devices": 1}, 1),
+        ({"accelerator": "ipu", "devices": 8}, 8),
+    ],
+)
+def test_trainer_config_ipus(monkeypatch, trainer_kwargs, expected_ipus):
+    monkeypatch.setattr(pytorch_lightning.accelerators.ipu.IPUAccelerator, "is_available", lambda _: True)
+    monkeypatch.setattr(pytorch_lightning.strategies.ipu, "_IPU_AVAILABLE", lambda: True)
+    trainer = Trainer(**trainer_kwargs)
+    with pytest.deprecated_call(
+        match="`Trainer.ipus` was deprecated in v1.6 and will be removed in v1.8."
+        " Please use `Trainer.num_devices` instead."
+    ):
+        trainer.ipus == expected_ipus
+
+
 @pytest.mark.parametrize(
     ["trainer_kwargs", "expected_num_processes"],
     [