Fix: subset filter in DatasetBase implementation

Summary: In D42739669, I forgot to update the API of existing implementations of DatasetBase to take `subset_filter`. Looks like only one was missing.

Reviewed By: bottler

Differential Revision: D46724488

fbshipit-source-id: 13ab7a457f853278cf06955aad0cc2bab5fbcce6

Author: shapovalov

pytorch3d/implicitron/dataset/single_sequence_dataset.py

@@ -9,7 +9,7 @@
 # provide data for a single scene.
 
 from dataclasses import field
-from typing import Iterable, Iterator, List, Optional, Tuple
+from typing import Iterable, Iterator, List, Optional, Sequence, Tuple
 
 import numpy as np
 import torch
@@ -47,13 +47,12 @@ def sequence_names(self) -> Iterable[str]:
     def __len__(self) -> int:
         return len(self.poses)
 
-    # pyre-fixme[14]: `sequence_frames_in_order` overrides method defined in
-    #  `DatasetBase` inconsistently.
     def sequence_frames_in_order(
-        self, seq_name: str
+        self, seq_name: str, subset_filter: Optional[Sequence[str]] = None
     ) -> Iterator[Tuple[float, int, int]]:
         for i in range(len(self)):
-            yield (0.0, i, i)
+            if subset_filter is None or self.frame_types[i] in subset_filter:
+                yield 0.0, i, i
 
     def __getitem__(self, index) -> FrameData:
         if index >= len(self):