Using GPU in VS code container – Docker

I want to use a GPU inside a Visual Studio Code docker container to train model with TensorFlow. To build an image for my container I use next Dockerfile:

FROM mcr.microsoft.com/vscode/devcontainers/anaconda:0-3


ARG PROJECT_NAME=fire_rec

ARG NODE_VERSION="none"
RUN if [ "${NODE_VERSION}" != "none" ]; then su vscode -c "umask 0002 && . /usr/local/share/nvm/nvm.sh && nvm install ${NODE_VERSION} 2>&1"; fi


COPY environment.yml* .devcontainer/noop.txt /tmp/conda-tmp/
RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env update -n base -f /tmp/conda-tmp/environment.yml; fi 
    && rm -rf /tmp/conda-tmp


WORKDIR /srv/${PROJECT_NAME}

COPY requirements.txt /srv/${PROJECT_NAME}

RUN apt-get update && apt-get install -y python3-opencv
RUN apt-get update && apt-get install -y pip
RUN python3 -m pip install --no-cache -r requirements.txt
RUN apt-get update && apt-get install -y nvidia-cuda-toolkit

"requirements.txt" consists of:

opencv-python
tensorflow-gpu
numpy
matplotlib
albumentations
tensorflow_addons

Also I have .devcontainer.json file:

{
    "name": "Anaconda (Python 3)",
    "build": { 
        "context": "..",
        "dockerfile": "Dockerfile",
        "args": {
            "NODE_VERSION": "none"
        }
    },

    "settings": { 
        "python.defaultInterpreterPath": "/opt/conda/bin/python",
        "python.linting.enabled": true,
        "python.linting.pylintEnabled": true,
        "python.formatting.autopep8Path": "/opt/conda/bin/autopep8",
        "python.formatting.yapfPath": "/opt/conda/bin/yapf",
        "python.linting.flake8Path": "/opt/conda/bin/flake8",
        "python.linting.pycodestylePath": "/opt/conda/bin/pycodestyle",
        "python.linting.pydocstylePath": "/opt/conda/bin/pydocstyle",
        "python.linting.pylintPath": "/opt/conda/bin/pylint"
    },

    "extensions": [
        "ms-python.python",
        "ms-python.vscode-pylance"
    ],

    "remoteUser": "vscode",
}

I successfully built the image and launched the container. But when I try to launch this code in jupyter-notebook inside the container:

import tensorflow as tf

tf.config.list_physical_devices('GPU')

I get next messages:

2022-05-05 14:42:02.712454: E tensorflow/stream_executor/cuda/cuda_driver.cc:271] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
2022-05-05 14:42:02.712483: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:163] no NVIDIA GPU device is present: /dev/nvidia0 does not exist

So this code fails to use GPU. How can I fix this problem?