PyTorch on Azure ML: problem accessing GPU with ACPT environment image

Start with 20_image_build_log.txt around line 3408 and training_script.py around line 22, then review the linked Azure ML ACPT and GPU container documentation. Reproduce the run using the listed image, cluster size, and conda environment, and verify that PyTorch imports successfully and can access the GPU without the CUDA symbol error.

In Azure Machine Learning, I am trying to set up a PyTorch 2.0.1 run on a curated ACPT image:
mcr.microsoft.com/azureml/curated/acpt-pytorch-2.0-cuda11.7:latest
(based on this and this documentation)

I use the image above on a GPU cluster with size STANDARD_NC6and this conda environment yaml:

name: compass-environment-simple
channels:
  - anaconda
  - pytorch
  - nvidia
  - conda-forge
dependencies:
  - python==3.10.9
  - pip
  - pytorch==2.0.1
  - torchvision
  - torchaudio  
  - pytorch-cuda=11.7
  - cudatoolkit=11.7
  - pip:
      - pandas==2.0.1
      - numpy==1.24.3
      - azure-ai-ml==1.7.2
      - azureml-mlflow==1.51.0
      - mlflow==2.3.2
      - tensorboard==2.13.0
      - tensorboardX==2.6
      - matplotlib==3.7.1
      - matplotlib-inline==0.1.6
      - mizani==0.9.1
      - plotnine==0.12.1
      - seaborn==0.12.2
      - scikit-learn==1.2.2
      - scipy==1.10.1
      - numpy==1.24.3
      - plotly==5.14.1
      - statsmodels==0.14.0
      - ipython==8.14.0
      - tqdm==4.65.0
      - umap-learn==0.5.3  
      - imbalanced-learn==0.10.1
      - gensim==4.3.1
      - nltk==3.8.1
      - python-dotenv==1.0.0
      - openpyxl==3.1.2
      - xlwt==1.3.0
      - xlrd==2.0.1
      - XlsxWriter==3.1.0

But I keep getting a couple of error messages and I cannot access the GPUs when running the PyTorch Python scripts.

1. while building the image
   in 20_image_build_log.txt I get a warning that the NVIDIA driver can't be detected:
   WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available.
   (see the attached 20_image_build_log.txt at line 3408)

2. when executing the Python script during a run
   I get the following error message:

/bin/bash: /azureml-envs/azureml_8536d86a92a3687bb89e1cff176aedf4/lib/libtinfo.so.6: no version information available (required by /bin/bash)
['/mnt/azureml/cr/j/7db89bab2dab4c479669caa5a4af805b/exe/wd', '/azureml-envs/azureml_8536d86a92a3687bb89e1cff176aedf4/lib/python310.zip', '/azureml-envs/azureml_8536d86a92a3687bb89e1cff176aedf4/lib/python3.10', '/azureml-envs/azureml_8536d86a92a3687bb89e1cff176aedf4/lib/python3.10/lib-dynload', '/azureml-envs/azureml_8536d86a92a3687bb89e1cff176aedf4/lib/python3.10/site-packages', '/azureml-envs/azureml_8536d86a92a3687bb89e1cff176aedf4/lib/python3.10/site-packages/mpmath-1.2.1-py3.10.egg', '/mnt/azureml/cr/j/7db89bab2dab4c479669caa5a4af805b/exe/wd', '/mnt/azureml/cr/j/7db89bab2dab4c479669caa5a4af805b/exe', '/mnt/azureml/cr/j/7db89bab2dab4c479669caa5a4af805b']
Traceback (most recent call last):
  File "/mnt/azureml/cr/j/7db89bab2dab4c479669caa5a4af805b/exe/wd/training_script.py", line 22, in <module>
    import torch
  File "/azureml-envs/azureml_8536d86a92a3687bb89e1cff176aedf4/lib/python3.10/site-packages/torch/__init__.py", line 229, in <module>
    from torch._C import *  # noqa: F403
ImportError: /azureml-envs/azureml_8536d86a92a3687bb89e1cff176aedf4/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so: undefined symbol: cudaGraphInstantiateWithFlags, version libcudart.so.11.0

What am I doing wrong?
Thanks for your help.