add Dockerfile for CUDA and PyTorch setup

Dockerfile

@@ -0,0 +1,55 @@
+# Define build arguments (use CUDA 11.3.1 by default)
+ARG UBUNTU_VERSION=20.04
+ARG CUDA_VERSION=11.3.1
+ARG CUDNN_VERSION=8
+
+# Use the *devel* image (includes CUDA toolkit + nvcc)
+FROM nvidia/cuda:${CUDA_VERSION}-cudnn${CUDNN_VERSION}-devel-ubuntu${UBUNTU_VERSION}
+
+# Set environment variables
+ENV DEBIAN_FRONTEND=noninteractive
+ENV CUDA_HOME=/usr/local/cuda
+ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 6.2 7.0 7.2 7.5 8.0 8.6" 
+ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
+ENV MAX_JOBS=4
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    python3.8 \
+    python3.8-dev \
+    python3-pip \
+    git \
+    cmake \
+    build-essential \
+    libopenblas-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Make Python 3.8 the default
+RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.8 1
+
+# Install PyTorch with matching CUDA
+ARG PYTORCH_VERSION=1.12.0
+ARG PYTORCH_CUDA=cu113
+RUN pip install --no-cache-dir \
+    torch==${PYTORCH_VERSION}+${PYTORCH_CUDA} \
+    torchvision==0.13.0+${PYTORCH_CUDA} \
+    torchaudio==0.12.0 \
+    --extra-index-url https://download.pytorch.org/whl/${PYTORCH_CUDA}
+
+# Install Minkowski Engine dependencies
+RUN pip install --no-cache-dir \
+    numpy==1.21.6 \
+    ninja
+
+# Clone and install Minkowski Engine
+RUN git clone https://github.com/NVIDIA/MinkowskiEngine.git && \
+    cd MinkowskiEngine && \
+    python setup.py install --blas_include_dirs=/usr/include/openblas --force_cuda
+
+COPY requirements.txt /workspace/requirements.txt
+
+RUN pip install --no-cache-dir -r /workspace/requirements.txt
+
+RUN apt-get update && apt-get install -y libgl1
+
+WORKDIR /workspace