Make asyncio checkpointing work if validate/fit is called more than once

src/lightning/pytorch/CHANGELOG.md

@@ -26,6 +26,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Fixed
 
+- Fixed `AsyncCheckpointIO` threadpool exception if calling fit or validate more than one.
+
+
 - fix progress bar console clearing for Rich `14.1+` ([#21016](https://github.com/Lightning-AI/pytorch-lightning/pull/21016))
 
 

src/lightning/pytorch/plugins/io/async_plugin.py

@@ -33,14 +33,23 @@ class AsyncCheckpointIO(_WrappingCheckpointIO):
 
     def __init__(self, checkpoint_io: Optional["CheckpointIO"] = None) -> None:
         super().__init__(checkpoint_io)
-
-        self._executor = ThreadPoolExecutor(max_workers=1)
+        self._executor: Optional[ThreadPoolExecutor] = None
         self._error: Optional[BaseException] = None
 
+    # CheckpointIO doesn't have a setup method so we have to do something like.
+    # We can't do setup in __init__ because if train or validate is called more than once the
+    # teardown method deletes the executor.
+    def _ensure_setup(self) -> None:
+        if self._executor is None:
+            self._executor = ThreadPoolExecutor(max_workers=1)
+            self._error: Optional[BaseException] = None
+
     @override
     def save_checkpoint(self, *args: Any, **kwargs: Any) -> None:
         """Uses the ``ThreadPoolExecutor`` to save the checkpoints using the base ``checkpoint_io``."""
 
+        self._ensure_setup()
+
         def _save_checkpoint(*args: Any, **kwargs: Any) -> None:
             try:
                 assert self.checkpoint_io is not None
@@ -58,8 +67,10 @@ def _save_checkpoint(*args: Any, **kwargs: Any) -> None:
     @override
     def teardown(self) -> None:
         """This method is called to close the threads."""
-        self._executor.shutdown(wait=True)
+        if self._executor is not None:
+            self._executor.shutdown(wait=True)
+            self._executor = None
 
-        # if an error was raised anytime in any of the `executor.submit` calls
-        if self._error:
-            raise self._error
+            # if an error was raised anytime in any of the `executor.submit` calls
+            if self._error:
+                raise self._error

tests/tests_pytorch/plugins/test_checkpoint_io_plugin.py

@@ -127,6 +127,10 @@ def on_fit_start(self):
         enable_progress_bar=False,
         enable_model_summary=False,
     )
+
+    # We add a validate step to test that async works when fit or validate is called multiple times.
+    trainer.validate(model)
+
     trainer.fit(model)
 
     assert checkpoint_plugin.save_checkpoint.call_count == 3