# nvidia-patch

![GitHub last commit](https://img.shields.io/github/last-commit/keylase/nvidia-patch.svg) ![Latest version](https://img.shields.io/badge/latest%20linux%20driver%20version-430.34-brightgreen.svg)

This patch removes restriction on maximum number of simultaneous NVENC video encoding sessions imposed by Nvidia to consumer-grade GPUs.

Main target operating system is **GNU/Linux**, but for **Windows** support see [**win**](win).

Requirements:
- x86\_64 system architecture
- GNU/Linux operating system
- nvenc-compatible gpu (https://developer.nvidia.com/video-encode-decode-gpu-support-matrix#Encoder)
- Nvidia driver. Patch available for: 
  - [375.39](https://download.nvidia.com/XFree86/Linux-x86_64/375.39/NVIDIA-Linux-x86_64-375.39.run)
  - [390.77](https://download.nvidia.com/XFree86/Linux-x86_64/390.77/NVIDIA-Linux-x86_64-390.77.run)
  - [390.87](https://download.nvidia.com/XFree86/Linux-x86_64/390.87/NVIDIA-Linux-x86_64-390.87.run)
  - [396.24](https://download.nvidia.com/XFree86/Linux-x86_64/396.24/NVIDIA-Linux-x86_64-396.24.run)
  - [396.26](https://international.download.nvidia.com/tesla/396.26/NVIDIA-Linux-x86_64-396.26.run)
  - [396.37](https://international.download.nvidia.com/tesla/396.37/NVIDIA-Linux-x86_64-396.37.run)
  - [396.54](https://download.nvidia.com/XFree86/Linux-x86_64/396.54/NVIDIA-Linux-x86_64-396.54.run)
  - 410.48
  - [410.57](https://download.nvidia.com/XFree86/Linux-x86_64/410.57/NVIDIA-Linux-x86_64-410.57.run)
  - [410.73](https://download.nvidia.com/XFree86/Linux-x86_64/410.73/NVIDIA-Linux-x86_64-410.73.run)
  - [410.78](https://download.nvidia.com/XFree86/Linux-x86_64/410.78/NVIDIA-Linux-x86_64-410.78.run)
  - [410.79](https://international.download.nvidia.com/tesla/410.79/NVIDIA-Linux-x86_64-410.79.run)
  - [410.93](https://download.nvidia.com/XFree86/Linux-x86_64/410.93/NVIDIA-Linux-x86_64-410.93.run)
  - [410.104](https://international.download.nvidia.com/XFree86/Linux-x86_64/410.104/NVIDIA-Linux-x86_64-410.104.run)
  - [415.18](https://download.nvidia.com/XFree86/Linux-x86_64/415.18/NVIDIA-Linux-x86_64-415.18.run)
  - [415.25](https://download.nvidia.com/XFree86/Linux-x86_64/415.25/NVIDIA-Linux-x86_64-415.25.run)
  - [415.27](https://download.nvidia.com/XFree86/Linux-x86_64/415.27/NVIDIA-Linux-x86_64-415.27.run)
  - [418.30](https://download.nvidia.com/XFree86/Linux-x86_64/418.30/NVIDIA-Linux-x86_64-418.30.run)
  - [418.43](https://download.nvidia.com/XFree86/Linux-x86_64/418.43/NVIDIA-Linux-x86_64-418.43.run)
  - [418.56](https://download.nvidia.com/XFree86/Linux-x86_64/418.56/NVIDIA-Linux-x86_64-418.56.run)
  - 418.67
  - [418.74](https://international.download.nvidia.com/XFree86/Linux-x86_64/418.74/NVIDIA-Linux-x86_64-418.74.run)
  - [430.09](https://international.download.nvidia.com/XFree86/Linux-x86_64/430.09/NVIDIA-Linux-x86_64-430.09.run)
  - [430.14](https://international.download.nvidia.com/XFree86/Linux-x86_64/430.14/NVIDIA-Linux-x86_64-430.14.run)
  - [430.26](https://international.download.nvidia.com/XFree86/Linux-x86_64/430.26/NVIDIA-Linux-x86_64-430.26.run)
  - [430.34](https://international.download.nvidia.com/XFree86/Linux-x86_64/430.34/NVIDIA-Linux-x86_64-430.34.run)

Tested on Ubuntu 18.04 LTS (GNU/Linux 4.15.0-23-generic x86\_64)

## Synopsis

```
# bash ./patch.sh -h

SYNOPSIS
       patch.sh [OPTION]...

DESCRIPTION
       The patch for Nvidia drivers to increase encoder sessions

       -s    Silent mode (No output)
       -r    Rollback to original (Restore lib from backup)
       -h    Print this help message

```

## Step-by-Step guide

Examples are provided for driver version 430.34. All commands are runned as root.

### Download driver

[https://international.download.nvidia.com/XFree86/Linux-x86\_64/430.34/NVIDIA-Linux-x86\_64-430.34.run](https://international.download.nvidia.com/XFree86/Linux-x86_64/430.34/NVIDIA-Linux-x86_64-430.34.run)

### Install driver

```bash
mkdir /opt/nvidia && cd /opt/nvidia
wget https://international.download.nvidia.com/XFree86/Linux-x86_64/430.34/NVIDIA-Linux-x86_64-430.34.run
chmod +x ./NVIDIA-Linux-x86_64-430.34.run
./NVIDIA-Linux-x86_64-430.34.run
```

### Check driver

```bash
nvidia-smi
```

Output should show no errors and details about your driver and GPU.

### Patch driver

This patch performs backup of original file prior to making changes.

```bash
bash ./patch.sh
```

You're all set!

## Rollback

If something got broken you may restore patched driver from backup:

```bash
bash ./patch.sh -r
```

## Docker support

It is possible to use this patch with nvidia-docker containers, even if host machine hasn't patched drivers. See `Dockerfile` for example.

Essentially all you need to do during build is:

* `COPY` the `patch.sh` and `docker-entrypoint.sh` files into your container.
* Make sure `docker-entrypoint.sh` is invoked on container start.

`docker-entrypoint.sh` script does on-the-fly patching by means of manipulating dynamic linker to workaround read-only mount of Nvidia runtime. Finally it passes original docker command to shell, like if entrypoint was not restricted by `ENTRYPOINT` directive. So `docker run --runtime=nvidia -it mycontainer echo 123` will print `123`. Also it can be just invoked from your entrypoint script, if you have any.

## See also

* Plex Media Server: enable HW **decoding**: 
  * [GH Issue](https://github.com/keylase/nvidia-patch/issues/51)
  * PMS Forum:
    1. [https://forums.plex.tv/t/hardware-accelerated-decode-nvidia-for-linux/233510/158](https://forums.plex.tv/t/hardware-accelerated-decode-nvidia-for-linux/233510/158)
    2. [https://forums.plex.tv/t/hardware-accelerated-decode-nvidia-for-linux/233510/172](https://forums.plex.tv/t/hardware-accelerated-decode-nvidia-for-linux/233510/172)
* Unraid / Docker:
  * [GH Issue](https://github.com/keylase/nvidia-patch/issues/43)
  * Unraid Nvidia plugin:
    * [Repo](https://github.com/linuxserver/Unraid-Nvidia-Plugin)
    * [Forum page](https://forums.unraid.net/topic/77813-plugin-linuxserverio-unraid-nvidia/) ([archive link](https://web.archive.org/web/20190211145338/https://forums.unraid.net/topic/77813-plugin-linuxserverio-unraid-nvidia/))
* Original research behind this patch
  * [Original post in Russian](https://habr.com/post/262563/)
  * [3rd party English translation](https://weekly-geekly.github.io/articles/262563/index.html)

If you experience `CreateBitstreamBuffer failed: out of memory (10)`, then you have to lower buffers number used for every encoding session. If you are using `ffmpeg`, see option `-surfaces` ("Number of concurrent surfaces") and try value near `-surfaces 8`.