Improve OptimizerWrapper composability (#85)

* Improve OptimizerWrapper composability

OptimizerWrapper currently miss several attributes that are required for training integration. This PR adds the missing gap.

torchft/optim.py

@@ -12,8 +12,9 @@
 
 """
 
-from typing import TYPE_CHECKING, Optional
+from typing import TYPE_CHECKING, Any, Dict, List, Mapping, Optional
 
+import torch
 from torch.optim import Optimizer
 
 if TYPE_CHECKING:
@@ -52,3 +53,11 @@ def step(self, closure: Optional[object] = None) -> None:
         assert closure is None, "optimizers that use closures are not supported"
         if self.manager.should_commit():
             self.optim.step()
+
+    @property
+    def param_groups(self) -> List[Dict[str, Any]]:
+        return self.optim.param_groups
+
+    @property
+    def state(self) -> Mapping[torch.Tensor, Any]:  # pyre-fixme[3]
+        return self.optim.state

torchft/optim_test.py

@@ -7,6 +7,7 @@
 from unittest import TestCase
 from unittest.mock import MagicMock, create_autospec
 
+import torch
 from torch.nn import Linear
 from torch.optim import AdamW
 
@@ -34,9 +35,16 @@ def test_optimizer_wrapper(self) -> None:
         optim.zero_grad()
         self.assertEqual(manager.start_quorum.call_count, 1)
 
+        b = torch.rand(3)
+        m(b).sum().backward()
+
         manager.should_commit.return_value = True
         optim.step()
         manager.should_commit.return_value = False
         optim.step()
+        self.assertEqual(len(optim.param_groups), 2)
+        self.assertEqual(optim.param_groups[1]["lr"], 1e-4)
+        self.assertEqual(optim.param_groups[1]["params"], [])
+        self.assertEqual(len(optim.state), len(list(m.parameters())))
 
         self.assertEqual(manager.should_commit.call_count, 2)