Add Dockerfile

.github/workflows/build-image.yml

@@ -0,0 +1,50 @@
+name: Build and Push Docker Image
+
+on:
+  workflow_dispatch:  # Only manual triggers
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ghcr.io/${{ github.repository }}/fastvideo-dev
+          tags: |
+            type=raw,value=latest
+            type=sha,format=short
+
+      - name: Build and push Docker image
+        id: build-push
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+
+      - name: Success message
+        run: |
+          echo "✅ Image successfully built and pushed to ghcr.io/${{ github.repository }}/fastvideo-dev:latest"
+          echo "To run tests with this image, manually trigger the 'Run Tests' workflow." 

Dockerfile

@@ -0,0 +1,56 @@
+# Use NVIDIA CUDA 12.4.1 with Ubuntu 20.04 as base image
+FROM nvidia/cuda:12.4.1-devel-ubuntu20.04
+
+# Avoid prompts from apt
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Set working directory
+WORKDIR /app
+
+# Install Miniconda
+RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
+    bash Miniconda3-latest-Linux-x86_64.sh -b -p /opt/conda && \
+    rm Miniconda3-latest-Linux-x86_64.sh
+
+# Add conda to path
+ENV PATH /opt/conda/bin:$PATH
+
+# Create conda environment
+RUN conda create --name myenv python=3.10.0 -y
+
+# Set up conda activation in shell scripts
+SHELL ["/bin/bash", "-c"]
+
+# Copy just the pyproject.toml first to leverage Docker cache
+COPY pyproject.toml ./
+
+# Create a dummy README to satisfy the installation
+RUN echo "# Placeholder" > README.md
+
+# Install the package in development mode with test dependencies
+RUN conda init bash && \
+    echo "conda activate myenv" >> ~/.bashrc && \
+    source ~/.bashrc && \
+    conda activate myenv && \
+    pip install --no-cache-dir --upgrade pip && \
+    #pip install --no-cache-dir wheel setuptools && \
+    # Make sure we use CUDA-enabled PyTorch
+    pip install --no-cache-dir -e .[dev] && \
+    # Install flash-attention separately with no-build-isolation as noted in your comments
+    pip install --no-cache-dir flash-attn==2.7.0.post2 --no-build-isolation && \
+    # Clean conda cache to reduce image size
+    conda clean -afy
+
+# Copy the rest of your code
+COPY . .
+
+# Create an entrypoint script that activates conda environment
+RUN echo '#!/bin/bash\n\
+source /opt/conda/etc/profile.d/conda.sh\n\
+conda activate myenv\n\
+exec "$@"' > /entrypoint.sh && \
+    chmod +x /entrypoint.sh
+
+ENTRYPOINT ["/entrypoint.sh"]
+
+CMD ["tail", "-f", "/dev/null"]