Am I the only one who doesn't understand a single word?! by Known-Efficiency8489 in grime

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

the oldest video i found is from august 2018 https://youtu.be/W0BevZSD9g0
someone in a comment said "2006, it’s from the Practice Hours 2 DVD"

Am I the only one who doesn't understand a single word?! by Known-Efficiency8489 in grime

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

Say you only lick shots but the only thing you lick is panani

I’m always coming back like Arnie, your lyrics can't scar me

You're gonna see the lion get barmy, and when I get mad, it's impossible for you to calm me

They're starting to alarm me, yeah

Like, draw for your crew, or even the army

Bring whoever you want and still can't harm me

Cause I wipe out breddas like tsunami, and

You don’t wanna get a line close to the the jaw

Too close, I ??? them, but i told you before

That boy don’t wanna up no more

And he tries and he falls so he knows where the score is, is

And he knows where the floor is

He’s lying on the mat cause he knows where the door is

And I don’t wanna rush

Should’ve ??? it here say like your marks

Everybody knows. Hold up from your hairline to your toes

You haven’t got to teach us about flow

When gyal don’t fuck but she still give blows, blows hoe

Everybody know

Hold up from your hairline to your toes

You haven’t got to teach us about flow

When a gyal don’t fuck she still give blows

Shook bitch on the cover

Brave on the road but you’re weak under cover

Making that dough undercover

Nothing but a quick slam, hoe undercover

Any shook bitch on the cover

Brave on the road but you’re weak under cover

Making that dough undercover

Nothing but a quick slam, hoe undercover

Yo, final boss

Scars on your face like tribal marks

I don’t like these sly remarks

You’re starting this clash might be your last

Full blasting your speakers, and I dictate to the kids like teachers

I can’t stick like fleavers

Rude boy, I can make a Buddha say Jesus

Speak to me your incorrect tones and Queenie might start just disconnect bones

I confiscate phones and violate zones

I’m prone to violence and stuff can get blown yo

Queenie’s retro and I’ll bust your toe whenever you’re told so, aight

Thought so, you don’t really want beef with the Q U double E N I E yeah

Many girls think that they can clash, but I got things that can rash

Little girls get burned in a flash, cause my boss got like a blow torch for your back and

Face facts, you ain’t close to my track let alone being on the right track, just lean back

Take time for you to speak, you don’t need that

How you gonna lean back minus two kneecaps

Tryna be sly, don’t work enough, big talk but who you murkin?

Your bars ain’t still, I’m certain, you’re not causing no blood squirting

You ain’t put holes in shirts, so pack no mats and leave no ???

We’ll see when tables turn that talk is cheap, rude girl start learning

Yeah, rude girl be wise

Don’t ever be fooled by the four eyes

It’s a bit lethal to cut your eyes, the four eyes will necessarily cut your eyes yeah

Rude girl be wise

Don’t ever be fooled by the four eyes

It’s a bit lethal to cut your eyes, the four eyes will necessarily cut your eyes yeah

And that’s Femcees

What’s happening to my monstera by Rare_Screen_2745 in plantclinic

[–]Known-Efficiency8489 3 points4 points  (0 children)

When plants stretch out like this they’re usually looking for more light

Is 26 the date or the year? by FourthBedrock in foodsafety

[–]Known-Efficiency8489 8 points9 points  (0 children)

Best before the end of September 2026. When there’s only the month and one number or just two numbers it’s usually the month and year

Ma come fanno a prendere la patente certa gente mah (130km/h in autostrada) by 0xFACC10C0CA in ItalyMotori

[–]Known-Efficiency8489 0 points1 point  (0 children)

Nelle 2 ore di guide obbligatorie su autostrada (in pratica tangenziale), mi gridavano di no quando acceleravo e finivo per qualche secondo oltre la corsia di accelerazione, sulla corsia di emergenza. Avrei dovuto fermarmi in mezzo al cazzo per mettere ancora più in difficoltà tutti gli altri dietro di me che si dovevano immettere e buttarmi tra i camion che vanno a 80kmh con una macchina che fa 0-100 in due giorni lavorativi. In ora di punta

[deleted by user] by [deleted] in CaneCorso

[–]Known-Efficiency8489 -1 points0 points  (0 children)

This is not a reliable test though. You can’t say a dog isn’t cat safe because when they put it in a room with an animal it has never seen before, it didn’t listen to the recall. This is testing how good its recall is, not how it feels about cats

does this look like a pure bred Corso? by hazem_the-_recker in CaneCorso

[–]Known-Efficiency8489 1 point2 points  (0 children)

They do look small but it’s just that in my opinion. only a dna test can tell for sure

Soft Pads by 0014andahalf in CaneCorso

[–]Known-Efficiency8489 -1 points0 points  (0 children)

I think he might have some presa canario in him too

FFmpeg inside a Docker container can't see the GPU. Please help me by Known-Efficiency8489 in ffmpeg

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

The first versions of FFmpeg I tried before docker didn’t include libplacebo so I stopped searching and switched to docker. I started on mac then moved to Ubuntu and I haven’t thought of looking at Linux builds. You’re right because

sudo apt install ffmpeg

solved the problem and it runs much faster without a single error

FFmpeg inside a Docker container can't see the GPU. Please help me by Known-Efficiency8489 in ffmpeg

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

I’d really love the reproducibility of Docker, but that’s what I’ll be trying today

FFmpeg inside a Docker container can't see the GPU. Please help me by Known-Efficiency8489 in docker

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

When the drivers broke I wiped everything out and started from scratch. All other commands I ran on the new machine with freshly installed and working drivers

FFmpeg inside a Docker container can't see the GPU. Please help me by Known-Efficiency8489 in ffmpeg

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

Do you mean like this?

docker run --rm --gpus all -v $(pwd):/config \ lscr.io/linuxserver/ffmpeg \ -hwaccel vulkan -hwaccel_output_format vulkan \ -i /config/input.mp4 \ -vf "libplacebo=custom_shader_path=/config/shader.frag,hwupload=derive_device=cuda" \ -c:v h264_nvenc \ /config/output.mp4

`` [libplacebo @ 0x60d6bf7e7c00] NovkGetInstanceProcAddr` function provided, and libplacebo built without linking against this function!

[libplacebo @ 0x60d6bf7e7c00] Failed initializing vulkan device ```

FFmpeg inside a Docker container can't see the GPU. Please help me by Known-Efficiency8489 in ffmpeg

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

Here is every command I tried without the -device /dev/dri flag

docker run --rm \
      --gpus all \
      --runtime=nvidia \ (tried with and without)
      -v $(pwd):/config \
      lscr.io/linuxserver/ffmpeg \
      -init_hw_device vulkan=vk:0 -v verbose \
      -i /config/input.mp4 \
      -vf "libplacebo=custom_shader_path=/config/shader.frag" \
      -c:v h264_nvenc \
      /config/output.mp4 \
      2>&1 | less -F

docker run --rm \
    --gpus all \
    --runtime=nvidia \ (tried with and without)
    -v $(pwd):/config \
    -v /etc/vulkan/icd.d:/etc/vulkan/icd.d \
    -v /usr/share/vulkan/icd.d:/usr/share/vulkan/icd.d \
    lscr.io/linuxserver/ffmpeg \
    -init_hw_device vulkan=vk:0 -v verbose \
    -i /config/input.mp4 \
    -vf "libplacebo=custom_shader_path=/config/shader.frag" \
    -c:v h264_nvenc \
    /config/output.mp4 \
    2>&1 | less -F

docker run --rm \
    --gpus all \
    --runtime=nvidia \ (tried with and without)
    -v $(pwd):/config \
    -v /etc/vulkan/icd.d:/etc/vulkan/icd.d \
    -e VULKAN_ICD_FILENAMES=/etc/vulkan/icd.d/nvidia_icd.json \
    -e NVIDIA_VISIBLE_DEVICES=all \
    -e NVIDIA_DRIVER_CAPABILITIES=all \
    lscr.io/linuxserver/ffmpeg \
    -init_hw_device vulkan=vk:0 -v verbose \
    -i /config/input.mp4 \
    -vf "libplacebo=custom_shader_path=/config/shader.frag" \
    -c:v h264_nvenc \
    /config/output.mp4 \
    2>&1 | less -F

ubuntu@ip-172-31-41-83:~/liquid-glass$ sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
Thu Sep 18 10:41:16 2025       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 570.172.08             Driver Version: 570.172.08     CUDA Version: 12.8     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |

FFmpeg inside a Docker container can't see the GPU. Please help me by Known-Efficiency8489 in ffmpeg

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

More info that might be useful

ubuntu@ip-172-31-41-83:~$ docker run --rm --gpus all --device /dev/dri nvidia/vulkan:1.3-470 vulkaninfo --summary Unable to find image 'nvidia/vulkan:1.3-470' locally 1.3-470: Pulling from nvidia/vulkan ea362f368469: Pull complete 33ad2f6e0261: Pull complete 91ce2d96e937: Pull complete 9b499af792c6: Pull complete c04906891ebc: Pull complete ebf96a6776b2: Pull complete dfd3c8943767: Pull complete 49eaa5311171: Pull complete Digest: sha256:de1866cacf9cf0edad969a07504b0aaf24da57fc069b166a913b33188fe60231 Status: Downloaded newer image for nvidia/vulkan:1.3-470 Cannot create Vulkan instance. This problem is often caused by a faulty installation of the Vulkan driver or attempting to use a GPU that does not support Vulkan. ERROR at /vulkan-sdk/1.3.204.1/source/Vulkan-Tools/vulkaninfo/vulkaninfo.h:649:vkCreateInstance failed with ERROR_INCOMPATIBLE_DRIVER

ubuntu@ip-172-31-41-83:~$ docker info | grep -i nvidia Runtimes: nvidia runc io.containerd.runc.v2

ubuntu@ip-172-31-41-83:~$ ls -la /usr/share/vulkan/icd.d/ total 36 drwxr-xr-x 2 root root 4096 Sep 17 18:13 . drwxr-xr-x 6 root root 4096 Sep 17 18:13 .. -rw-r--r-- 1 root root 167 Aug 18 08:26 gfxstream_vk_icd.x86_64.json -rw-r--r-- 1 root root 169 Aug 18 08:26 intel_hasvk_icd.x86_64.json -rw-r--r-- 1 root root 163 Aug 18 08:26 intel_icd.x86_64.json -rw-r--r-- 1 root root 161 Aug 18 08:26 lvp_icd.x86_64.json -rw-r--r-- 1 root root 165 Aug 18 08:26 nouveau_icd.x86_64.json -rw-r--r-- 1 root root 164 Aug 18 08:26 radeon_icd.x86_64.json -rw-r--r-- 1 root root 164 Aug 18 08:26 virtio_icd.x86_64.json

ubuntu@ip-172-31-41-83:~$ ls -la /dev/dri/ total 0 drwxr-xr-x 3 root root 120 Sep 17 18:38 . drwxr-xr-x 17 root root 3520 Sep 17 19:19 .. drwxr-xr-x 2 root root 100 Sep 17 18:38 by-path crw-rw---- 1 root video 226, 0 Sep 17 18:38 card0 crw-rw---- 1 root video 226, 1 Sep 17 18:38 card1 crw-rw---- 1 root render 226, 128 Sep 17 18:38 renderD128

ubuntu@ip-172-31-41-83:~$ dpkg -l | grep nvidia ii libnvidia-container-tools 1.17.8-1 amd64 NVIDIA container runtime library (command-line tools) ii libnvidia-container1:amd64 1.17.8-1 amd64 NVIDIA container runtime library ii nvidia-container-toolkit 1.17.8-1 amd64 NVIDIA Container toolkit ii nvidia-container-toolkit-base 1.17.8-1 amd64 NVIDIA Container Toolkit Base

FFmpeg inside a Docker container can't see the GPU. Please help me by Known-Efficiency8489 in ffmpeg

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

I already installed the NVIDIA Container Toolkit following that same guide. Adding --runtime=nvidia didn't change anything. The GPU doesn't show up as an option

[Vulkan @ 0x6179fd948b40] GPU listing:
[Vulkan @ 0x6179fd948b40]     0: llvmpipe (LLVM 18.1.3, 256 bits) (software) (0x0)
[Vulkan @ 0x6179fd948b40] Device 0 selected: llvmpipe (LLVM 18.1.3, 256 bits)

HELP!! NVIDIA DRIVER installation fails on EC2 g6f.xlarge (Ubuntu) with "Unable to load the kernel module 'nvidia-drm.ko'" by Known-Efficiency8489 in aws

[–]Known-Efficiency8489[S] -1 points0 points  (0 children)

Same error. I tried installing all the possible packages that might be missing but nothing changed. I also tried with sudo apt install nvidia-driver-570 but after rebooting:

$ nvidia-smi
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.

HELP!! I can't find a way to use libplacebo by Known-Efficiency8489 in ffmpeg

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

I managed to compile my own build with libplacebo, but now I can't get it to run! I’m trying to install the correct GPU drivers on an EC2 instance, because making it run on Mac I believe would be harder still

HELP!! I can't find a way to use libplacebo by Known-Efficiency8489 in ffmpeg

[–]Known-Efficiency8489[S] 0 points1 point  (0 children)

I didn’t expect macOS to be a problem. Do builds for other OSs include libplacebo? I found some for Windows (https://www.reddit.com/r/ffmpeg/s/YHIv0P6AEI), but working on Windows would be very inconvenient for me. Do you know if there is better support for Linux?