diff --git a/test/decoders/test_video_decoder.py b/test/decoders/test_video_decoder.py
index e90ec3f6..4f80cbc0 100644
--- a/test/decoders/test_video_decoder.py
+++ b/test/decoders/test_video_decoder.py
@@ -11,13 +11,7 @@
 
 from torchcodec.decoders import _core, VideoDecoder
 
-from ..utils import (
-    assert_frames_equal,
-    assert_tensor_close,
-    cpu_and_cuda,
-    H265_VIDEO,
-    NASA_VIDEO,
-)
+from ..utils import assert_frames_equal, cpu_and_cuda, H265_VIDEO, NASA_VIDEO
 
 
 class TestVideoDecoder:
@@ -538,13 +532,17 @@ def test_get_frames_in_range(self, stream_index, device):
             ]
         )
         assert_frames_equal(ref_frames0_9, frames0_9.data)
-        assert_tensor_close(
+        torch.testing.assert_close(
             NASA_VIDEO.get_pts_seconds_by_range(0, 10, stream_index=stream_index),
             frames0_9.pts_seconds,
+            atol=1e-6,
+            rtol=1e-6,
         )
-        assert_tensor_close(
+        torch.testing.assert_close(
             NASA_VIDEO.get_duration_seconds_by_range(0, 10, stream_index=stream_index),
             frames0_9.duration_seconds,
+            atol=1e-6,
+            rtol=1e-6,
         )
 
         # test steps
@@ -561,15 +559,19 @@ def test_get_frames_in_range(self, stream_index, device):
             ]
         )
         assert_frames_equal(ref_frames0_8_2, frames0_8_2.data)
-        assert_tensor_close(
+        torch.testing.assert_close(
             NASA_VIDEO.get_pts_seconds_by_range(0, 10, 2, stream_index=stream_index),
             frames0_8_2.pts_seconds,
+            atol=1e-6,
+            rtol=1e-6,
         )
-        assert_tensor_close(
+        torch.testing.assert_close(
             NASA_VIDEO.get_duration_seconds_by_range(
                 0, 10, 2, stream_index=stream_index
             ),
             frames0_8_2.duration_seconds,
+            atol=1e-6,
+            rtol=1e-6,
         )
 
         # test numpy.int64 for indices
@@ -584,8 +586,10 @@ def test_get_frames_in_range(self, stream_index, device):
             empty_frames.data,
             NASA_VIDEO.get_empty_chw_tensor(stream_index=stream_index).to(device),
         )
-        assert_tensor_close(empty_frames.pts_seconds, NASA_VIDEO.empty_pts_seconds)
-        assert_tensor_close(
+        torch.testing.assert_close(
+            empty_frames.pts_seconds, NASA_VIDEO.empty_pts_seconds
+        )
+        torch.testing.assert_close(
             empty_frames.duration_seconds, NASA_VIDEO.empty_duration_seconds
         )
 
diff --git a/test/utils.py b/test/utils.py
index 67bb815d..8ab9602f 100644
--- a/test/utils.py
+++ b/test/utils.py
@@ -41,15 +41,6 @@ def assert_frames_equal(*args, **kwargs):
     torch.testing.assert_close(*args, **kwargs, atol=absolute_tolerance, rtol=0)
 
 
-# For use with floating point metadata, or in other instances where we are not confident
-# that reference and test tensors can be exactly equal. This is true for pts and duration
-# in seconds, as the reference values are from ffprobe's JSON output. In that case, it is
-# limiting the floating point precision when printing the value as a string. The value from
-# JSON and the value we retrieve during decoding are not exactly the same.
-def assert_tensor_close(*args, **kwargs):
-    torch.testing.assert_close(*args, **kwargs, atol=1e-6, rtol=1e-6)
-
-
 def in_fbcode() -> bool:
     return os.environ.get("IN_FBCODE_TORCHCODEC") == "1"