Adding state parser utility that can be used for modifying worker states

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Author: gokulavasan

test/stateful_dataloader/test_state_parser.py

@@ -0,0 +1,78 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+from torch.testing._internal.common_utils import TestCase
+
+from torch.utils.data import Dataset, IterableDataset
+from torchdata.stateful_dataloader import Stateful, StatefulDataLoader, StateParserUtil
+
+
+class StatefulIterableDataset(IterableDataset, Stateful):
+    def __init__(self):
+        self.num_calls = 0
+
+    def __iter__(self):
+        return self
+
+    def __next__(self):
+        self.num_calls += 1
+        return self.num_calls
+
+    def load_state_dict(self, state_dict):
+        self.num_calls = state_dict["num_calls"]
+
+    def state_dict(self):
+        return {"num_calls": self.num_calls}
+
+
+def identity(x):
+    return x
+
+
+class TestIteratorDataset(TestCase):
+    def test_increasing_worker(self):
+        ds = StatefulIterableDataset()
+        dl = StatefulDataLoader(ds, num_workers=2, collate_fn=identity)
+        it = iter(dl)
+        next(it)
+        sd = dl.state_dict()
+        print(sd)
+        del dl
+
+        parser = StateParserUtil(sd)
+        worker_states = parser.fetch_dataset_state()
+        worker_states[2] = {"num_calls": 2}
+        worker_states[3] = {"num_calls": 3}
+        parser.set_dataset_state(worker_states)
+
+        # worker state doesn't equal num workers setting
+        with self.assertRaises(AssertionError):
+            parser.get_state_dict()
+        parser.set_num_workers(4)
+
+        # last worker yielded id is greater than num workers
+        parser.set_last_worker_yielded_id(10)
+        with self.assertRaises(AssertionError):
+            parser.get_state_dict()
+        parser.set_last_worker_yielded_id(0)
+
+        # load the modified state
+        new_sd = parser.get_state_dict()
+        print(new_sd)
+        dl = StatefulDataLoader(ds, num_workers=4, collate_fn=identity)
+        dl.load_state_dict(new_sd)
+        it = iter(dl)
+        values = []
+        for _ in range(4):
+            values.extend(next(it))
+        print(values)
+        self.assertEqual(values, [1, 3, 4, 2])
+
+
+if __name__ == "__main__":
+    unittest.main()

torchdata/stateful_dataloader/__init__.py

@@ -4,7 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+from .state_parser import StateParserUtil
 from .stateful import Stateful
 from .stateful_dataloader import StatefulDataLoader
 
-__all__ = ["Stateful", "StatefulDataLoader"]
+__all__ = ["Stateful", "StatefulDataLoader", "StateParserUtil"]

torchdata/stateful_dataloader/state_parser.py

@@ -0,0 +1,74 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+import logging
+from typing import Any, Dict, Union
+
+logger = logging.getLogger(__name__)
+
+
+class StateParserUtil:
+    """
+    Utility class that can be used to modify state returned by the dataloader
+    """
+
+    def __init__(self, state_dict: Dict[str, Any]):
+        self._state_dict = state_dict
+        self._is_multiprocess_state = "_snapshot" in self._state_dict
+
+    def fetch_dataset_state(self) -> Dict[int, Any]:
+        # Handle both cases of single process and multiprocess
+        if not self._is_multiprocess_state:
+            return self._state_dict["dataset_state"]
+        return {
+            state["worker_id"]: state["dataset_state"]
+            for _, state in self._state_dict["_snapshot"]["_worker_snapshots"].items()
+        }
+
+    def set_last_worker_yielded_id(self, last_worker_yielded: int) -> None:
+        # Ensure that this number is within the number of workers
+        if not self._is_multiprocess_state:
+            logger.warning("Cannot set last worker yielded id on a single process state dict")
+            return
+        self._state_dict["_snapshot"]["_last_yielded_worker_id"] = last_worker_yielded
+
+    def set_num_workers(self, num_workers: int) -> None:
+        if not self._is_multiprocess_state:
+            logger.warning("Cannot set num_workers on a single process state dict")
+            return
+        self._state_dict["_snapshot"]["_main_snapshot"]["_num_workers"] = num_workers
+
+    def set_dataset_state(self, dataset_state: Union[Dict[int, Any], Any]) -> None:
+        if not self._is_multiprocess_state:
+            self._state_dict["dataset_state"] = dataset_state
+            return
+
+        for id, state in dataset_state.items():
+            worker_states = self._state_dict["_snapshot"]["_worker_snapshots"]
+            worker_key = f"worker_{id}"
+            if worker_key in worker_states:
+                worker_states[worker_key]["dataset_state"] = state
+            else:
+                worker_states[worker_key] = {"worker_id": id, "dataset_state": state, "fetcher_state": None}
+
+    def get_state_dict(self) -> Dict[str, Any]:
+        # Perform validations
+        # a) num_workers should match worker_snapshots
+        # b) last yielded worker id should be within num_workers
+        if not self._is_multiprocess_state:
+            return self._state_dict
+
+        last_yielded_id = self._state_dict["_snapshot"]["_last_yielded_worker_id"]
+        num_workers = self._state_dict["_snapshot"]["_main_snapshot"]["_num_workers"]
+        worker_ids = self._state_dict["_snapshot"]["_worker_snapshots"].keys()
+
+        assert (
+            len(worker_ids) == num_workers
+        ), f"Number of worker states {len(worker_ids)} should be equal to num_workers setting {num_workers}"
+        assert (
+            len(set(worker_ids)) == num_workers
+        ), f"Worker state for all from [0, {num_workers}) should be present. Instead found state for only {worker_ids} workers"
+        assert last_yielded_id < num_workers, "Last yielded id should be strictly within the number of workers"
+        return self._state_dict