Please check out version 0.7.3.
Beiträge von Vouk
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I'll look into this again.
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Thanks for pointing out these edge cases. It's really helping to improve the software.
Will look into that.
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Yes, I will add VP9.
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Yes, this will come soon!
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Code
[19:07:28] Frame #103383: vRender: 2035282 us, vProcess: 0 us, vEncoding: 22269 us, aRenderEncode: 301133 us, Latency: 2358705 us [19:07:29] Unable to encode video frame #103384! Aborting ... [19:07:29] Exported 103384 frames in 34233 seconds. (avg. 3 fps) [19:07:29] Flushing encoders and finalizing ... [19:07:29] Video and audio buffers flushed. [19:07:29] Trailer has been written. [19:07:29] Closing encoders ...
Can you enable "Low Level Debugging" in Voukoders Settings? This should log more data (and the actual error). Sorry, I know that's a 10 hrs encode ...
Are you sure there's enough drive space left?
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Out of curiosity: Does this also happen when performing a Scene Test (Play button in VoukoderPro) multiple times? Or only if VEGAS Pro is involved?
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Updating now ...
Edit: You're right. With the latest version these option won't show up. Seems it's a DVR issue.
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Can you post a screenshot of your GPU memory of these multiple renders in a row again?
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Win 11, same Nvidia drivers (non patched) and VEGAS Pro 21 here.
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To be honest: I don't really see the huge memory leak you have shown in the screenshots. It looks like this on my system.
I (re-)started the render about a dozen times, but the memory usage is not accumulating. Sometimes it's 300 MB more, but Windows and VEGAS are using GPU memory too.
I don't have a Citrix environment available to test the scenario you've mentioned above.
Edit:
One more test with UHD footage:
6,3 GB when rendering
4,3 GB when finished
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I was not aware people run parallel instance of it, but anyway, that's a good and valid test.
I disabled the performance logging for now. Need to find a better solution for it.
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Investigating ...
Edit: Found the issue: Circular std::shared_ptr's - I finally found a use case to use std::weak_ptr
Can you try version 0.7.2.8?
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I can reproduce this when encoding with CUDA.
Normal NVENC encoding seems to be okay.
Edit: Should be fixed in the next version.
Edit: Fixed with 0.7.2.7