Cannot install PyNvVideoCodec on Jetson AGX Orin

Now I want to install PyNvVideoCodec libs on Jetson AGX Orin devkit (Jetpack 6.0GA) using command-lines below:

apt update
apt-get install -y python3-dev  python3-pip python3-numpy
pip install pycuda

# Install Pytorch
apt-get install -y  python3-pip libopenblas-dev
wget https://raw.githubusercontent.com/pytorch/pytorch/5c6af2b583709f6176898c017424dc9981023c28/.ci/docker/common/install_cusparselt.sh
export CUDA_VERSION=12.2
bash ./install_cusparselt.sh
export TORCH_INSTALL=https://developer.download.nvidia.com/compute/redist/jp/v60/pytorch/torch-2.4.0a0+f70bd71a48.nv24.06.15634931-cp310-cp310-linux_aarch64.whl
python3 -m pip install --no-cache $TORCH_INSTALL

# Install PyNvVideoCodec 1.0.2
wget --content-disposition 'https://api.ngc.nvidia.com/v2/resources/org/nvidia/pynvvideocodec/1.0.2/files?redirect=true&path=PyNvVideoCodec_1.0.2.zip' -O PyNvVideoCodec_1.0.2.zip
pip install pyproject-toml
pip install "PyNvVideoCodec_1.0.2.zip"

I received a error message as following:

An error occurred while building with CMake.
        Command:
          /usr/bin/cmake --build . --target install --config Release --
        Install target:
          install
        Source directory:
          /tmp/pip-req-build-ocrsyv0n
        Working directory:
          /tmp/pip-req-build-ocrsyv0n/_skbuild/linux-aarch64-3.10/cmake-build
      Please check the install target is valid and see CMake's output for more information.
      
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for PyNvVideoCodec
Failed to build PyNvVideoCodec
ERROR: Could not build wheels for PyNvVideoCodec, which is required to install pyproject.toml-based projects

I want to ask you a question is that: Has PyNvVideoCodec ver. 1.0.2 supported to run on Jetson AGX Orin yet? If it had been, how to install it?

Start by reproducing the PyNvVideoCodec_1.0.2.zip installation on the Jetson AGX Orin with JetPack 6.0GA, Python 3.10, and the listed PyTorch setup. Inspect the complete CMake output before the shown install-target error and determine whether this platform is supported; done means a verified installation procedure or a clear support limitation.