Can I install miniconda in the image nvcr.io/nvidia/pytorch:23.08-py3 and use PyTorch 2.1.0a0+29c30b1 installed in that image in my conda environment?

Description

I know that conda is installed as far as the nvcr.io/nvidia/pytorch:22.10-py3 image. However, conda has been excluded from later versions. I use nvcr.io/nvidia/pytorch:23.08-py3 image for training. However, the lack of conda in that image makes it inconvenient to configure various experimental environments. So I installed miniconda, but I can’t use pytorch 2.1.0a0+29c30b1, which is already installed in that image. Is there any way to use pytorch 2.1.0a0+29c30b1, which is already installed in the image, in a conda environment?

Environment

TensorRT Version:
GPU Type: A100
Nvidia Driver Version: 535.129.03
CUDA Version: 12.2
CUDNN Version: 8.8.1
Operating System + Version: Linux RHEL 8.8
Python Version (if applicable): 3.10.12
TensorFlow Version (if applicable):
PyTorch Version (if applicable): 2.1.0a0+29c30b1
Baremetal or Container (if container which image + tag): nvcr.io/nvidia/pytorch:23.08-py3

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