Remove deprecated XLAStatsMonitor

CHANGELOG.md

@@ -88,6 +88,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Removed the deprecated `terminate_on_nan` argument from the `Trainer` constructor ([#12553](https://github.com/PyTorchLightning/pytorch-lightning/pull/12553))
 
 
+- Removed the deprecated `XLAStatsMonitor` callback ([#12688](https://github.com/PyTorchLightning/pytorch-lightning/pull/12688))
+
+
 - Remove deprecated `pytorch_lightning.callbacks.progress.progress` ([#12658](https://github.com/PyTorchLightning/pytorch-lightning/pull/12658))
 
 

docs/source/api_references.rst

@@ -98,7 +98,6 @@ Callbacks API
     StochasticWeightAveraging
     Timer
     TQDMProgressBar
-    XLAStatsMonitor
 
 Loggers API
 -----------

docs/source/extensions/callbacks.rst

@@ -105,7 +105,6 @@ Lightning has a few built-in callbacks.
     StochasticWeightAveraging
     Timer
     TQDMProgressBar
-    XLAStatsMonitor
 
 ----------
 

pytorch_lightning/callbacks/__init__.py

@@ -27,15 +27,13 @@
 from pytorch_lightning.callbacks.rich_model_summary import RichModelSummary
 from pytorch_lightning.callbacks.stochastic_weight_avg import StochasticWeightAveraging
 from pytorch_lightning.callbacks.timer import Timer
-from pytorch_lightning.callbacks.xla_stats_monitor import XLAStatsMonitor
 
 __all__ = [
     "BackboneFinetuning",
     "BaseFinetuning",
     "Callback",
     "DeviceStatsMonitor",
     "EarlyStopping",
-    "XLAStatsMonitor",
     "GradientAccumulationScheduler",
     "LambdaCallback",
     "LearningRateMonitor",

tests/deprecated_api/test_remove_1-7.py

@@ -20,10 +20,8 @@
 import pytest
 import torch
 
-import pytorch_lightning
 from pytorch_lightning import Callback, LightningDataModule, Trainer
 from pytorch_lightning.callbacks.lr_monitor import LearningRateMonitor
-from pytorch_lightning.callbacks.xla_stats_monitor import XLAStatsMonitor
 from pytorch_lightning.loggers import LoggerCollection, TestTubeLogger
 from pytorch_lightning.overrides.distributed import IndexBatchSamplerWrapper
 from pytorch_lightning.plugins.environments import (
@@ -34,7 +32,6 @@
     TorchElasticEnvironment,
 )
 from pytorch_lightning.strategies import SingleDeviceStrategy
-from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.deprecated_api import _soft_unimport_module
 from tests.helpers import BoringModel
 from tests.helpers.datamodules import MNISTDataModule
@@ -310,12 +307,6 @@ def test_v1_7_0_deprecated_slurm_job_id():
         trainer.slurm_job_id
 
 
-def test_v1_7_0_deprecate_xla_stats_monitor(monkeypatch):
-    monkeypatch.setattr(pytorch_lightning.callbacks.xla_stats_monitor, "_TPU_AVAILABLE", True)
-    with pytest.deprecated_call(match="The `XLAStatsMonitor` callback was deprecated in v1.5"):
-        _ = XLAStatsMonitor()
-
-
 def test_v1_7_0_deprecated_max_steps_none(tmpdir):
     with pytest.deprecated_call(match="`max_steps = None` is deprecated in v1.5"):
         _ = Trainer(max_steps=None)
@@ -428,17 +419,3 @@ def post_dispatch(self, trainer):
 
     with pytest.deprecated_call(match=escape("`CustomPlugin.post_dispatch()` has been deprecated in v1.6")):
         CustomPlugin(torch.device("cpu"))
-
-
-def test_xla_stats_monitor_tpu_not_used(monkeypatch):
-    monkeypatch.setattr(pytorch_lightning.callbacks.xla_stats_monitor, "_TPU_AVAILABLE", True)
-    with pytest.deprecated_call(match="The `XLAStatsMonitor` callback was deprecated in v1.5"):
-        xla_stats = XLAStatsMonitor()
-
-    trainer = Trainer(accelerator="cpu", callbacks=[xla_stats])
-    model = BoringModel()
-    with pytest.raises(
-        MisconfigurationException,
-        match="You are using XLAStatsMonitor but are not running on TPU. The accelerator is set to CPUAccelerator.",
-    ):
-        trainer.fit(model)