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Weighted Resize CRASH
#31
No, the problem I reported way related to tiling, but it caused HolyWu to look into the general functionality and compatibility of the filter, which caused him to decide that there are issues with RT.
It does not matter whether I think RT is broken or not, since I'm not the developer of the filter.

Cu Selur
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Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Reply
#32
Unfortunately using FeMaSR without TRT support
almost impossible like most SR filters due to
processing speed tending to zero.
Very very sorry.
Reply
#33
Hello Selur,

  I wrote to HolyWu as you suggested: https://github.com/HolyWu/vs-femasr/issues/3
  HolyWu accepted to keep support to Tensor RT and today released a new version.

Dan
Reply
#34
Nice. Just got a notification of the new release a few minutes ago.

Cu Selur
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Reply
#35
Hello Selur,

   I installed the last dev version and I found some problems in using FeMASR.
   I attached 2 archives showing different problems:

1) Test1

In this case, it seems that LWLibavSource changed inputs.
If you open the preview with vsViewer on "Test-001_v1.vpy"
Will be issued the following error:

clip = core.lsmas.LWLibavSource(source="E:/VideoTest/FeMaSR/Test1/Test-001.mkv", format="YUV420P8", stream_index=0, cache=0, fpsnum=24,repeat=true, prefer_hw=0)
NameError: name 'true' is not defined

the problem has been fixed in the script: "Test-001_v1_fixed.vpy". Also the problem can be solved using FFMS as in the script "Test-001_v3.vpy"
After having fixed this problem is shown another bigger problem regarding FeMaSR. It seems that the problem is related to Tensor RT.

I get the same problems even if I use the previous version of Hybrid (2023.01.31.1) and previous version of FeMaSR (v1.0)


2) Test2

In this case it seems that Hybrid is not able to recognize the right format conversion.
If you open the preview with vsViewer on "Test-002_fp16.vpy"
Will be issued the following error:


Failed to evaluate the script:
Python exception: Merge: only 8-16 bit integer and 32 bit float input supported, passed RGBH


the problem has been fixed in the script: "Test-002_fp16_fixed.vpy"
Reply
#36
No Debug output. Angry
=> will look at it later
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
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#37
First issue doesn't seem to be related to the torchAddon itself. Seems like a typo where 'repeat=true' is used, when 'repeat=True' should be used.
Second issue looks like some color space mixup.
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
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#38
Hello Selur,

   sorry for the missing debug outputs, I attached them to this post.
   Regarding the problem on Tensor RT described in Test1 it seems that is related to the frame dimension (it is too big).
   If I divide by 2 the size of the frame by using the option: Vapoursynth->Misc->Lower res. before resize, Tensor RT is working.

Dan

P.S.
It seems that the new RT version is not discovered. The name of the cache files have the previous version embedded for example: FeMaSR_SRX2_model_g.pth_NVIDIA GeForce RTX 3060_trt-8.5.2.2_640x288_fp16_workspace-33554432
Reply
#39
I also can't use 'trt_min_subgraph_size'.
=> Something is broken with the setup or the filter.
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Reply
#40
Did you use the updated download? (first download had the old tensor version)
Does "Vapoursynth\Lib\site-packages\tensorrt-8.5.3.1.dist-info" in your setup?
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Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
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