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+# syntax=docker/dockerfile:1.4
+
+# Base Image: No torch version pinned, using default `pytorch/pytorch:2.3.0-cuda12.1-cudnn8-devel`
+FROM pytorch/pytorch:2.3.0-cuda12.1-cudnn8-devel
+
+# Set CUDA_HOME environment variable to match the base image
+ENV CUDA_HOME=/usr/local/cuda-12.1
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Set the working directory
+WORKDIR /app
+
+# Install git, needed for dependencies specified with git+https URLs
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends git && \
+    rm -rf /var/lib/apt/lists/*
+
+# Clone the repository into the working directory
+RUN git clone --depth 1 https://github.com/automl/ConfigurableOptimizer .
+
+# Install the package and its dependencies.
+# The package is installed in editable mode (-e) so that scripts in 'examples/'
+# can import the 'confopt' module from 'src/'. This will also install
+# all dependencies from pyproject.toml including tensorflow via nasbench.
+RUN pip install --no-cache-dir -e .
+
+# Specify the command to run the demo
+CMD ["python", "examples/demo_light.py"]
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