Expose new get_frames_at and get_frames_displayed_at methods

src/torchcodec/decoders/_video_decoder.py

@@ -181,6 +181,32 @@ def get_frame_at(self, index: int) -> Frame:
             duration_seconds=duration_seconds.item(),
         )
 
+    def get_frames_at(self, indices: list[int]) -> FrameBatch:
+        """Return frames at the given indices.
+
+        .. note::
+
+            Calling this method is more efficient that repeated individual calls
+            to :meth:`~torchcodec.decoders.VideoDecoder.get_frame_at`. This
+            method makes sure not to decode the same frame twice, and also
+            avoids "backwards seek" operations, which are slow.
+
+        Args:
+            indices (list of int): The indices of the frames to retrieve.
+
+        Returns:
+            FrameBatch: The frames at the given indices.
+        """
+
+        data, pts_seconds, duration_seconds = core.get_frames_at_indices(
+            self._decoder, stream_index=self.stream_index, frame_indices=indices
+        )
+        return FrameBatch(
+            data=data,
+            pts_seconds=pts_seconds,
+            duration_seconds=duration_seconds,
+        )
+
     def get_frames_in_range(self, start: int, stop: int, step: int = 1) -> FrameBatch:
         """Return multiple frames at the given index range.
 
@@ -238,6 +264,31 @@ def get_frame_displayed_at(self, seconds: float) -> Frame:
             duration_seconds=duration_seconds.item(),
         )
 
+    def get_frames_displayed_at(self, seconds: list[float]) -> FrameBatch:
+        """Return frames displayed at the given timestamps in seconds.
+
+        .. note::
+
+            Calling this method is more efficient that repeated individual calls
+            to :meth:`~torchcodec.decoders.VideoDecoder.get_frame_displayed_at`.
+            This method makes sure not to decode the same frame twice, and also
+            avoids "backwards seek" operations, which are slow.
+
+        Args:
+            seconds (list of float): The timestamps in seconds when the frames are displayed.
+
+        Returns:
+            FrameBatch: The frames that are displayed at ``seconds``.
+        """
+        data, pts_seconds, duration_seconds = core.get_frames_by_pts(
+            self._decoder, timestamps=seconds, stream_index=self.stream_index
+        )
+        return FrameBatch(
+            data=data,
+            pts_seconds=pts_seconds,
+            duration_seconds=duration_seconds,
+        )
+
     def get_frames_displayed_in_range(
         self, start_seconds: float, stop_seconds: float
     ) -> FrameBatch:

src/torchcodec/samplers/_common.py

@@ -1,6 +1,5 @@
 from typing import Callable, Union
 
-from torch import Tensor
 from torchcodec import FrameBatch
 
 _LIST_OF_INT_OR_FLOAT = Union[list[int], list[float]]
@@ -58,17 +57,15 @@ def _validate_common_params(*, decoder, num_frames_per_clip, policy):
         )
 
 
-def _make_5d_framebatch(
+def _reshape_4d_framebatch_into_5d(
     *,
-    data: Tensor,
-    pts_seconds: Tensor,
-    duration_seconds: Tensor,
+    frames: FrameBatch,
     num_clips: int,
     num_frames_per_clip: int,
 ) -> FrameBatch:
-    last_3_dims = data.shape[-3:]
+    last_3_dims = frames.data.shape[-3:]
     return FrameBatch(
-        data=data.view(num_clips, num_frames_per_clip, *last_3_dims),
-        pts_seconds=pts_seconds.view(num_clips, num_frames_per_clip),
-        duration_seconds=duration_seconds.view(num_clips, num_frames_per_clip),
+        data=frames.data.view(num_clips, num_frames_per_clip, *last_3_dims),
+        pts_seconds=frames.pts_seconds.view(num_clips, num_frames_per_clip),
+        duration_seconds=frames.duration_seconds.view(num_clips, num_frames_per_clip),
     )

src/torchcodec/samplers/_index_based.py

@@ -4,11 +4,10 @@
 
 from torchcodec import FrameBatch
 from torchcodec.decoders import VideoDecoder
-from torchcodec.decoders._core import get_frames_at_indices
 from torchcodec.samplers._common import (
-    _make_5d_framebatch,
     _POLICY_FUNCTION_TYPE,
     _POLICY_FUNCTIONS,
+    _reshape_4d_framebatch_into_5d,
     _validate_common_params,
 )
 
@@ -177,16 +176,9 @@ def _generic_index_based_sampler(
         policy_fun=_POLICY_FUNCTIONS[policy],
     )
 
-    # TODO: Use public method of decoder, when it exists
-    frames, pts_seconds, duration_seconds = get_frames_at_indices(
-        decoder._decoder,
-        stream_index=decoder.stream_index,
-        frame_indices=all_clips_indices,
-    )
-    return _make_5d_framebatch(
-        data=frames,
-        pts_seconds=pts_seconds,
-        duration_seconds=duration_seconds,
+    frames = decoder.get_frames_at(indices=all_clips_indices)
+    return _reshape_4d_framebatch_into_5d(
+        frames=frames,
         num_clips=num_clips,
         num_frames_per_clip=num_frames_per_clip,
     )

src/torchcodec/samplers/_time_based.py

@@ -3,11 +3,10 @@
 import torch
 
 from torchcodec import FrameBatch
-from torchcodec.decoders._core import get_frames_by_pts
 from torchcodec.samplers._common import (
-    _make_5d_framebatch,
     _POLICY_FUNCTION_TYPE,
     _POLICY_FUNCTIONS,
+    _reshape_4d_framebatch_into_5d,
     _validate_common_params,
 )
 
@@ -210,16 +209,9 @@ def _generic_time_based_sampler(
         policy_fun=_POLICY_FUNCTIONS[policy],
     )
 
-    # TODO: Use public method of decoder, when it exists
-    frames, pts_seconds, duration_seconds = get_frames_by_pts(
-        decoder._decoder,
-        stream_index=decoder.stream_index,
-        timestamps=all_clips_timestamps,
-    )
-    return _make_5d_framebatch(
-        data=frames,
-        pts_seconds=pts_seconds,
-        duration_seconds=duration_seconds,
+    frames = decoder.get_frames_displayed_at(seconds=all_clips_timestamps)
+    return _reshape_4d_framebatch_into_5d(
+        frames=frames,
         num_clips=num_clips,
         num_frames_per_clip=num_frames_per_clip,
     )

test/decoders/test_video_decoder.py

@@ -7,6 +7,7 @@
 import numpy
 import pytest
 import torch
+from torchcodec import FrameBatch
 
 from torchcodec.decoders import _core, VideoDecoder
 
@@ -301,9 +302,12 @@ def test_get_frame_at(self):
 
         assert_tensor_equal(ref_frame9, frame9.data)
         assert isinstance(frame9.pts_seconds, float)
-        assert frame9.pts_seconds == pytest.approx(0.3003)
+        expected_frame_info = NASA_VIDEO.get_frame_info(9)
+        assert frame9.pts_seconds == pytest.approx(expected_frame_info.pts_seconds)
         assert isinstance(frame9.duration_seconds, float)
-        assert frame9.duration_seconds == pytest.approx(0.03337, rel=1e-3)
+        assert frame9.duration_seconds == pytest.approx(
+            expected_frame_info.duration_seconds, rel=1e-3
+        )
 
         # test numpy.int64
         frame9 = decoder.get_frame_at(numpy.int64(9))
@@ -340,6 +344,50 @@ def test_get_frame_at_fails(self):
         with pytest.raises(IndexError, match="out of bounds"):
             frame = decoder.get_frame_at(10000)  # noqa
 
+    def test_get_frames_at(self):
+        decoder = VideoDecoder(NASA_VIDEO.path)
+
+        frames = decoder.get_frames_at([35, 25])
+
+        assert isinstance(frames, FrameBatch)
+
+        assert_tensor_equal(frames[0].data, NASA_VIDEO.get_frame_data_by_index(35))
+        assert_tensor_equal(frames[1].data, NASA_VIDEO.get_frame_data_by_index(25))
+
+        expected_pts_seconds = torch.tensor(
+            [
+                NASA_VIDEO.get_frame_info(35).pts_seconds,
+                NASA_VIDEO.get_frame_info(25).pts_seconds,
+            ],
+            dtype=torch.float64,
+        )
+        torch.testing.assert_close(
+            frames.pts_seconds, expected_pts_seconds, atol=1e-4, rtol=0
+        )
+
+        expected_duration_seconds = torch.tensor(
+            [
+                NASA_VIDEO.get_frame_info(35).duration_seconds,
+                NASA_VIDEO.get_frame_info(25).duration_seconds,
+            ],
+            dtype=torch.float64,
+        )
+        torch.testing.assert_close(
+            frames.duration_seconds, expected_duration_seconds, atol=1e-4, rtol=0
+        )
+
+    def test_get_frames_at_fails(self):
+        decoder = VideoDecoder(NASA_VIDEO.path)
+
+        with pytest.raises(RuntimeError, match="Invalid frame index=-1"):
+            decoder.get_frames_at([-1])
+
+        with pytest.raises(RuntimeError, match="Invalid frame index=390"):
+            decoder.get_frames_at([390])
+
+        with pytest.raises(RuntimeError, match="Expected a value of type"):
+            decoder.get_frames_at([0.3])
+
     def test_get_frame_displayed_at(self):
         decoder = VideoDecoder(NASA_VIDEO.path)
 
@@ -365,6 +413,51 @@ def test_get_frame_displayed_at_fails(self):
         with pytest.raises(IndexError, match="Invalid pts in seconds"):
             frame = decoder.get_frame_displayed_at(100.0)  # noqa
 
+    def test_get_frames_displayed_at(self):
+
+        decoder = VideoDecoder(NASA_VIDEO.path)
+
+        # Note: We know the frame at ~0.84s has index 25, the one at 1.16s has
+        # index 35. We use those indices as reference to test against.
+        seconds = [0.84, 1.17, 0.85]
+        reference_indices = [25, 35, 25]
+        frames = decoder.get_frames_displayed_at(seconds)
+
+        assert isinstance(frames, FrameBatch)
+
+        for i in range(len(reference_indices)):
+            assert_tensor_equal(
+                frames.data[i], NASA_VIDEO.get_frame_data_by_index(reference_indices[i])
+            )
+
+        expected_pts_seconds = torch.tensor(
+            [NASA_VIDEO.get_frame_info(i).pts_seconds for i in reference_indices],
+            dtype=torch.float64,
+        )
+        torch.testing.assert_close(
+            frames.pts_seconds, expected_pts_seconds, atol=1e-4, rtol=0
+        )
+
+        expected_duration_seconds = torch.tensor(
+            [NASA_VIDEO.get_frame_info(i).duration_seconds for i in reference_indices],
+            dtype=torch.float64,
+        )
+        torch.testing.assert_close(
+            frames.duration_seconds, expected_duration_seconds, atol=1e-4, rtol=0
+        )
+
+    def test_get_frames_displayed_at_fails(self):
+        decoder = VideoDecoder(NASA_VIDEO.path)
+
+        with pytest.raises(RuntimeError, match="must be in range"):
+            decoder.get_frames_displayed_at([-1])
+
+        with pytest.raises(RuntimeError, match="must be in range"):
+            decoder.get_frames_displayed_at([14])
+
+        with pytest.raises(RuntimeError, match="Expected a value of type"):
+            decoder.get_frames_displayed_at(["bad"])
+
     @pytest.mark.parametrize("stream_index", [0, 3, None])
     def test_get_frames_in_range(self, stream_index):
         decoder = VideoDecoder(NASA_VIDEO.path, stream_index=stream_index)
@@ -456,10 +549,11 @@ def test_get_frames_in_range(self, stream_index):
         (
             lambda decoder: decoder[0],
             lambda decoder: decoder.get_frame_at(0).data,
+            lambda decoder: decoder.get_frames_at([0, 1]).data,
             lambda decoder: decoder.get_frames_in_range(0, 4).data,
             lambda decoder: decoder.get_frame_displayed_at(0).data,
-            # TODO: uncomment once D60001893 lands
-            # lambda decoder: decoder.get_frames_displayed_in_range(0, 1).data,
+            lambda decoder: decoder.get_frames_displayed_at([0, 1]).data,
+            lambda decoder: decoder.get_frames_displayed_in_range(0, 1).data,
         ),
     )
     def test_dimension_order(self, dimension_order, frame_getter):

test/utils.py

@@ -265,6 +265,8 @@ def get_empty_chw_tensor(self, *, stream_index: int) -> torch.Tensor:
             8: TestFrameInfo(pts_seconds=0.266933, duration_seconds=0.033367),
             9: TestFrameInfo(pts_seconds=0.300300, duration_seconds=0.033367),
             10: TestFrameInfo(pts_seconds=0.333667, duration_seconds=0.033367),
+            25: TestFrameInfo(pts_seconds=0.8342, duration_seconds=0.033367),
+            35: TestFrameInfo(pts_seconds=1.1678, duration_seconds=0.033367),
         },
     },
 )