Files
kubeflow-pipelines/components/runpod_trainer/Dockerfile
Greg Hendrickson 7a7b737cc0 fix: Pin transformers version for torch compatibility
- Force reinstall torch 2.4.0 in Dockerfile
- Pin transformers==4.47.1 (known working with bitsandbytes)
- Fix set_submodule AttributeError
2026-02-03 05:20:31 +00:00

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Docker

FROM runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04
WORKDIR /app
# Copy requirements first for better caching
COPY requirements.txt /app/requirements.txt
# Upgrade pip and install dependencies
# Force upgrade torch to ensure compatibility with transformers
RUN pip install --upgrade pip && \
pip install --no-cache-dir torch==2.4.0 --force-reinstall && \
pip install --no-cache-dir -r requirements.txt
# Copy handler and data
COPY handler.py /app/handler.py
COPY data/ /app/data/
# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV HF_HOME=/tmp/huggingface
ENV DDI_DATA_PATH=/app/data/drugbank_ddi_complete.jsonl
CMD ["python", "-u", "handler.py"]