cryzis

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Posts posted by cryzis

  1. 1 hour ago, aptalca said:

    I don't think the image supports opencl. What feature is that?

    This is brand new tone mapping during transcode feature that will be released in the upcoming 10.7.0 release of jellyfin. See PR#3442 . I have been running Jellyfin:unstable and have been waiting to test this out but I guess the image doesn't support OpenCL :(

  2. Looking for a little help, I am seeing this within my Jellyfin container. I am passing through the gpu properly, but I enabled a new tone mapping feature that requires OpenCL. This should work right?

     

    [AVHWDeviceContext @ 0x561dcd631340] Failed to get number of OpenCL platforms: -1001. 
    Device creation failed: -19. Failed to set value 'opencl=ocl:0.0' for option 'init_hw_device': No such device 
    Error parsing global options: No such device

     

    Screen Shot 2020-09-27 at 3.17.10 PM.png

  3. On 2/17/2020 at 2:49 AM, HaveAGitGat said:

    There's not a plugin which doesn that at the moment but can add it to the to-do list.

    You could add an option to the "Transcode Audio Stream" generic plugin to set the newly created audio stream as default. I think it would also have to remove default from any other existing streams.

     

    This may not be a good fit for that plugin but it was a thought.

  4. On 2/19/2020 at 1:21 PM, nicksphone said:

    That was 4k reencodes i max out the load and stress. With 20 encodes you might want to get some test files made to see the transcode times. I noticed 3 to 4 times longer when in had more transcodes going so your not saving any time and adding more wear on the drives.

    Good point, I took the workers down to four, seems to be working better overall

  5. 8 hours ago, nicksphone said:

    Save your money and get a 1050ti and use the driver mod to let it do more than 2 transcodes. you will run out of cpu before you run out of gpu. i have a 2700x pinned on 6 cores and i get maxed out on the cpu at 6 transcodes i dropped it to 3 so less failed and my system did not lag the gpu was reading 35% usage. it churns through the files fast enough when i was just using 2 GPU encoding is soooooooo much faster than cpu as it uses both.

     

    This is interesting,  I have a p2000 handling 20 HEVC transcodes and my cpu it sitting around 60% with the gpu at 25%, its an intel xeon e3-1240v5 3.5 4core/4ht cores. 

  6. Hi,

    I wanted to use the Nvidia Docker plugin and noticed that it only supported 6.6.6 and the 6.7 rc versions up to 4. I was on 6.6.7 so I downgrade to 6.3 as that was my only option. I am unable to select 6.6.6 as a version to upgrade to. Any ideas?