diff --git a/0.16/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/0.16/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
index 70349778645..95d7e2eed99 100644
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diff --git a/0.16/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/0.16/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
index 3b1a18d1ad6..c2b311d7735 100644
Binary files a/0.16/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip and b/0.16/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip differ
diff --git a/0.16/_images/sphx_glr_plot_video_api_001.png b/0.16/_images/sphx_glr_plot_video_api_001.png
index 50d5799dfb6..9688396e0e9 100644
Binary files a/0.16/_images/sphx_glr_plot_video_api_001.png and b/0.16/_images/sphx_glr_plot_video_api_001.png differ
diff --git a/0.16/_images/sphx_glr_plot_video_api_thumb.png b/0.16/_images/sphx_glr_plot_video_api_thumb.png
index ef976b5e117..649c59b34bb 100644
Binary files a/0.16/_images/sphx_glr_plot_video_api_thumb.png and b/0.16/_images/sphx_glr_plot_video_api_thumb.png differ
diff --git a/0.16/_sources/auto_examples/others/plot_optical_flow.rst.txt b/0.16/_sources/auto_examples/others/plot_optical_flow.rst.txt
index 278e1f79672..86955e0ea70 100644
--- a/0.16/_sources/auto_examples/others/plot_optical_flow.rst.txt
+++ b/0.16/_sources/auto_examples/others/plot_optical_flow.rst.txt
@@ -352,7 +352,7 @@ ffmpeg -f image2 -framerate 30 -i predicted_flow_%d.jpg -loop -1 flow.gif
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 9.992 seconds)
+ **Total running time of the script:** (0 minutes 10.096 seconds)
.. _sphx_glr_download_auto_examples_others_plot_optical_flow.py:
diff --git a/0.16/_sources/auto_examples/others/plot_repurposing_annotations.rst.txt b/0.16/_sources/auto_examples/others/plot_repurposing_annotations.rst.txt
index 23f978ae03c..12545e36300 100644
--- a/0.16/_sources/auto_examples/others/plot_repurposing_annotations.rst.txt
+++ b/0.16/_sources/auto_examples/others/plot_repurposing_annotations.rst.txt
@@ -417,7 +417,7 @@ Here is an example where we re-purpose the dataset from the
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 2.715 seconds)
+ **Total running time of the script:** (0 minutes 2.507 seconds)
.. _sphx_glr_download_auto_examples_others_plot_repurposing_annotations.py:
diff --git a/0.16/_sources/auto_examples/others/plot_scripted_tensor_transforms.rst.txt b/0.16/_sources/auto_examples/others/plot_scripted_tensor_transforms.rst.txt
index 0d178798abc..0bb9f283227 100644
--- a/0.16/_sources/auto_examples/others/plot_scripted_tensor_transforms.rst.txt
+++ b/0.16/_sources/auto_examples/others/plot_scripted_tensor_transforms.rst.txt
@@ -239,7 +239,7 @@ Since the model is scripted, it can be easily dumped on disk and re-used
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 1.672 seconds)
+ **Total running time of the script:** (0 minutes 1.683 seconds)
.. _sphx_glr_download_auto_examples_others_plot_scripted_tensor_transforms.py:
diff --git a/0.16/_sources/auto_examples/others/plot_video_api.rst.txt b/0.16/_sources/auto_examples/others/plot_video_api.rst.txt
index 341d9bffda8..29ac4466480 100644
--- a/0.16/_sources/auto_examples/others/plot_video_api.rst.txt
+++ b/0.16/_sources/auto_examples/others/plot_video_api.rst.txt
@@ -551,7 +551,7 @@ We can generate a dataloader and test the dataset.
/pytorch/vision/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).
warnings.warn(
- {'video': ['./dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/v_SoccerJuggling_g24_c01.avi'], 'start': [1.0105714579990077, 1.4112325561163752, 0.2561907936526305, 1.0557042088788688, 6.0416417274969625], 'end': [1.534867, 1.9352669999999998, 0.7674329999999999, 1.568233, 6.573233], 'tensorsize': [torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112])]}
+ {'video': ['./dataset/1/RATRACE_wave_f_nm_np1_fr_goo_37.avi', './dataset/2/SOX5yA1l24A.mp4', './dataset/2/SOX5yA1l24A.mp4', './dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi'], 'start': [1.2933978369482158, 1.7918684185786267, 4.373791147055652, 3.9307513195312067, 3.6426948895065263], 'end': [1.7999999999999998, 2.3023, 4.9049, 4.437767, 4.170833], 'tensorsize': [torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112])]}
@@ -609,7 +609,7 @@ Cleanup the video and dataset:
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 4.643 seconds)
+ **Total running time of the script:** (0 minutes 5.277 seconds)
.. _sphx_glr_download_auto_examples_others_plot_video_api.py:
diff --git a/0.16/_sources/auto_examples/others/plot_visualization_utils.rst.txt b/0.16/_sources/auto_examples/others/plot_visualization_utils.rst.txt
index babff11acf9..4a3de070691 100644
--- a/0.16/_sources/auto_examples/others/plot_visualization_utils.rst.txt
+++ b/0.16/_sources/auto_examples/others/plot_visualization_utils.rst.txt
@@ -1064,7 +1064,7 @@ We pass the above list to the connectivity parameter to connect the keypoints.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 24.360 seconds)
+ **Total running time of the script:** (0 minutes 14.555 seconds)
.. _sphx_glr_download_auto_examples_others_plot_visualization_utils.py:
diff --git a/0.16/_sources/auto_examples/others/sg_execution_times.rst.txt b/0.16/_sources/auto_examples/others/sg_execution_times.rst.txt
index f07b6b59c4e..4eab93bf20f 100644
--- a/0.16/_sources/auto_examples/others/sg_execution_times.rst.txt
+++ b/0.16/_sources/auto_examples/others/sg_execution_times.rst.txt
@@ -6,16 +6,16 @@
Computation times
=================
-**00:43.382** total execution time for **auto_examples_others** files:
+**00:34.118** total execution time for **auto_examples_others** files:
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_others_plot_visualization_utils.py` (``plot_visualization_utils.py``) | 00:24.360 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_others_plot_visualization_utils.py` (``plot_visualization_utils.py``) | 00:14.555 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_others_plot_optical_flow.py` (``plot_optical_flow.py``) | 00:09.992 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_others_plot_optical_flow.py` (``plot_optical_flow.py``) | 00:10.096 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_others_plot_video_api.py` (``plot_video_api.py``) | 00:04.643 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_others_plot_video_api.py` (``plot_video_api.py``) | 00:05.277 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_others_plot_repurposing_annotations.py` (``plot_repurposing_annotations.py``) | 00:02.715 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_others_plot_repurposing_annotations.py` (``plot_repurposing_annotations.py``) | 00:02.507 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_auto_examples_others_plot_scripted_tensor_transforms.py` (``plot_scripted_tensor_transforms.py``) | 00:01.672 | 0.0 MB |
+| :ref:`sphx_glr_auto_examples_others_plot_scripted_tensor_transforms.py` (``plot_scripted_tensor_transforms.py``) | 00:01.683 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/0.16/_sources/auto_examples/transforms/plot_custom_transforms.rst.txt b/0.16/_sources/auto_examples/transforms/plot_custom_transforms.rst.txt
index dde6e789e37..ed5fe86f027 100644
--- a/0.16/_sources/auto_examples/transforms/plot_custom_transforms.rst.txt
+++ b/0.16/_sources/auto_examples/transforms/plot_custom_transforms.rst.txt
@@ -205,7 +205,7 @@ an issue on our `GitHub repo Bonus: Creating GIFs of predicted flowsTotal running time of the script: (0 minutes 9.992 seconds)
Total running time of the script: (0 minutes 10.096 seconds)
Download Python source code: plot_optical_flow.py
Total running time of the script: (0 minutes 2.715 seconds)
+Total running time of the script: (0 minutes 2.507 seconds)
Download Python source code: plot_repurposing_annotations.py
Total running time of the script: (0 minutes 1.672 seconds)
+Total running time of the script: (0 minutes 1.683 seconds)
Download Python source code: plot_scripted_tensor_transforms.py
/pytorch/vision/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).
warnings.warn(
-{'video': ['./dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi', './dataset/2/v_SoccerJuggling_g24_c01.avi'], 'start': [1.0105714579990077, 1.4112325561163752, 0.2561907936526305, 1.0557042088788688, 6.0416417274969625], 'end': [1.534867, 1.9352669999999998, 0.7674329999999999, 1.568233, 6.573233], 'tensorsize': [torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112])]}
+{'video': ['./dataset/1/RATRACE_wave_f_nm_np1_fr_goo_37.avi', './dataset/2/SOX5yA1l24A.mp4', './dataset/2/SOX5yA1l24A.mp4', './dataset/2/v_SoccerJuggling_g24_c01.avi', './dataset/2/v_SoccerJuggling_g23_c01.avi'], 'start': [1.2933978369482158, 1.7918684185786267, 4.373791147055652, 3.9307513195312067, 3.6426948895065263], 'end': [1.7999999999999998, 2.3023, 4.9049, 4.437767, 4.170833], 'tensorsize': [torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112]), torch.Size([16, 3, 112, 112])]}
Total running time of the script: (0 minutes 4.643 seconds)
+Total running time of the script: (0 minutes 5.277 seconds)
Download Python source code: plot_video_api.py

Total running time of the script: (0 minutes 24.360 seconds)
+
Total running time of the script: (0 minutes 14.555 seconds)
Download Python source code: plot_visualization_utils.py
00:43.382 total execution time for auto_examples_others files:
+00:34.118 total execution time for auto_examples_others files: