ErsatzTV: Unable to use Nvidia Hardware Encoding

Trying to run the nvidia docker image and I am unable to get the cuda encoder working. I see this message in the logs: Error detecting NVIDIA GPU capabilities; some hardware accelerated features will be unavailable: 1

When I run the command ffmpeg -hwaccel cuda -f lavfi -i nullsrc -c:v h264_nvenc -gpu list -f null - 2>&1 within the container, I get this output:

ffmpeg version 5.1.2 Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 11 (Ubuntu 11.3.0-1ubuntu1~22.04)
  configuration: --disable-debug --disable-doc --disable-ffplay --enable-ffprobe --enable-cuda --enable-cuda-llvm --enable-cuvid --enable-fontconfig --enable-gpl --enable-libaom --enable-libass --enable-libfdk_aac --enable-libfreetype --enable-libkvazaar --enable-libmp3lame --enable-libnpp --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libsrt --enable-libtheora --enable-libv4l2 --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libxml2 --enable-libx264 --enable-libx265 --enable-libxvid --enable-nonfree --enable-nvdec --enable-nvenc --enable-opencl --enable-openssl --enable-small --enable-stripping --enable-vaapi --enable-vdpau --enable-version3 --extra-cflags='-I/tmp/ffnvcodec/include/ffnvcodec -I/usr/local/cuda/include/' --extra-ldflags='-L/usr/local/cuda/lib64 -L/usr/local/cuda/lib32/' --extra-libs=-ldl --extra-libs=-lpthread
  libavutil      57. 28.100 / 57. 28.100
  libavcodec     59. 37.100 / 59. 37.100
  libavformat    59. 27.100 / 59. 27.100
  libavdevice    59.  7.100 / 59.  7.100
  libavfilter     8. 44.100 /  8. 44.100
  libswscale      6.  7.100 /  6.  7.100
  libswresample   4.  7.100 /  4.  7.100
  libpostproc    56.  6.100 / 56.  6.100
Input #0, lavfi, from 'nullsrc':
  Duration: N/A, start: 0.000000, bitrate: N/A
  Stream #0:0: Video: rawvideo (I420 / 0x30323449), yuv420p, 320x240 [SAR 1:1 DAR 4:3], 25 tbr, 25 tbn
[AVHWDeviceContext @ 0x558a924c77c0] cu->cuInit(0) failed -> CUDA_ERROR_COMPAT_NOT_SUPPORTED_ON_DEVICE: forward compatibility was attempted on non supported HW
Device creation failed: -542398533.
[rawvideo @ 0x558a924a8680] No device available for decoder: device type cuda needed for codec rawvideo.
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (h264_nvenc))
Device setup failed for decoder on input stream #0:0 : Generic error in an external library

nvidia-smi within the container shows the GPU:

root@1caf727c8d77:/app# nvidia-smi
Mon Jan 16 23:46:07 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.161.03   Driver Version: 470.161.03   CUDA Version: 11.8     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  Off  | 00000000:42:00.0 Off |                  N/A |
|  0%   49C    P2    39W / 180W |    501MiB /  8119MiB |      1%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+

Here is my docker-compose file:

version: "3"
services:
  ersatztv:
    container_name: ersatztv
    privileged: true
    environment:
      - TZ=America/Chicago
      - "PUID=${UID}"
      - "PGID=${GID}"
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
    image: jasongdove/ersatztv:latest-nvidia
    runtime: nvidia
    ports:
      - 8409:8409/tcp
    restart: unless-stopped
    volumes:
      - /home/docker/ersatztv:/root/.local/share/ersatztv
      - /mnt/Media:/media:ro
    deploy:
      resources:
        reservations:
          devices:
            - capabilities: [ gpu ]

I have another docker container, frigate, that is able to utilize cuda encoding without issue.