Found Two fresh BUGs and a Solution

[SceneRec]

Thank you for your beautiful code.
I run this model base on Kinetics dataset, and video format is .mp4.
1st ERROR: RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.
reason: Training on multiple GUPs is called tensor, which is divided into different kinds of memory or video memory.
Solution: In /.. /utils.py line 42, should add ** contiguous().view(1,-1) **, the same as line 46.

The train work but when the Iteration=40, it got a ERROR.
2nd ERROR: decord._ffi.base.DECORDError: [14:51:44] /io/decord/src/video/video_reader.cc:125: Check failed: st_nb >= 0 (-1381258232 vs. 0) ERROR cannot find video stream with wanted index: -1
And UserWarning: resource_tracker: There appear to be 122 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d '
Although I tried many ways, I still couldn't solve the problem.

Would you kindly let me know of the problem. Thanks a lot

[deepcs233]

Thank for your feedback:
For 1st ERROR, i will fix the bug.
For 2nd ERROR, you may update the version of decord and check the video path is correct and check if the video is damaged.