diff --git a/torchrec/modules/fused_embedding_bag_collection.py b/torchrec/modules/fused_embedding_bag_collection.py
index eb014c357..28c923888 100644
--- a/torchrec/modules/fused_embedding_bag_collection.py
+++ b/torchrec/modules/fused_embedding_bag_collection.py
@@ -441,7 +441,6 @@ def __init__(
             self._emb_modules.append(emb_module)
             params: Dict[str, torch.Tensor] = {}
             for param_key, weight in emb_module.fused_optimizer.params.items():
-                # pyre-ignore
                 params[f"embedding_bags.{param_key}"] = weight
                 optims.append(("", emb_module.fused_optimizer))
 
diff --git a/torchrec/optim/keyed.py b/torchrec/optim/keyed.py
index 5982eb399..772dccf07 100644
--- a/torchrec/optim/keyed.py
+++ b/torchrec/optim/keyed.py
@@ -222,7 +222,6 @@ def init_state(
                     # pyre-ignore [16]
                     t = t.to_sparse()
                 # pyre-ignore [41]
-                # pyre-fixme[16]: `ShardedTensor` has no attribute `grad`.
                 param.grad = torch.autograd.Variable(t)
         self.step(closure=None)