Optimize Dockerfile: use pytorch base image to reduce size

Switch from nvidia/cuda base + manual PyTorch install to
pytorch/pytorch:2.6.0-cuda12.4-cudnn9-runtime base image.
This avoids the ~15GB build that exceeds Docker disk limits.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Dockerfile

@@ -1,51 +1,23 @@
-# Use NVIDIA CUDA base image with Ubuntu 22.04
+# Use PyTorch base image with CUDA support (much smaller than building from scratch)
-FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04
+FROM pytorch/pytorch:2.6.0-cuda12.4-cudnn9-runtime
 
 # Set environment variables
 ENV DEBIAN_FRONTEND=noninteractive \
-    LANG=C.UTF-8 \
-    LC_ALL=C.UTF-8 \
     PYTHONUNBUFFERED=TRUE \
-    PYTHONFAULTHANDLER=1 \
+    PYTHONFAULTHANDLER=1
-    PYTHONPYCACHEPREFIX='/tmp/.chai_pycache' \
-    MYPY_CACHE_DIR='/tmp/.chai_mypy_cache'
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    git \
-    wget \
-    curl \
-    ca-certificates \
-    python3.10 \
-    python3.10-dev \
-    python3-pip \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
 
 # Set working directory
 WORKDIR /workspace
 
-# Upgrade pip
+# Install chai_lab and transformers in a single layer
-RUN pip3 install --no-cache-dir --upgrade pip setuptools wheel
+RUN pip install --no-cache-dir \
+    chai_lab==0.5.2 \
+    "transformers>=4.30.0"
 
-# Install chai_lab first (this will install older PyTorch)
+# Verify installations
-RUN pip3 install --no-cache-dir chai_lab==0.5.2
+RUN python -c "import torch; print(f'PyTorch: {torch.__version__}')" && \
-
+    python -c "from transformers import EsmModel; print('transformers: OK')" && \
-# Force uninstall old PyTorch and related packages
+    python -c "import chai_lab; print('chai_lab: OK')" && \
-RUN pip3 uninstall -y torch torchvision torchaudio
-
-# Install PyTorch 2.6+ from main PyPI (has CUDA support built-in)
-RUN pip3 install --no-cache-dir torch torchvision torchaudio
-
-# Upgrade transformers to ensure compatibility
-RUN pip3 install --no-cache-dir --upgrade "transformers>=4.30.0"
-
-# Verify all installations
-RUN python3 -c "import torch; v=torch.__version__.split('+')[0]; print(f'PyTorch: {v}'); major,minor=map(int,v.split('.')[:2]); assert (major==2 and minor>=6) or major>2, f'PyTorch {v} is too old, need 2.6+'" && \
-    python3 -c "import torch; print(f'CUDA available: {torch.cuda.is_available()}')" && \
-    python3 -c "from transformers import EsmModel; print('transformers: OK')" && \
-    python3 -c "import typer; print('typer: OK')" && \
-    python3 -c "import chai_lab; print('chai_lab: OK')" && \
     chai --help
 
 # Add entry point script