# Shared runtime pins for the slim GPU image and its offline PyPI mirror.
#
# Keep this file as the single source of truth: Dockerfile installs these
# versions, while pypiserver/Dockerfile.pypiserver downloads and self-checks
# the same constraints.  PyTorch's CUDA local version (for example
# 2.11.0+cu130) satisfies the public-version pin below.
torch==2.11.0
torchvision==0.26.0
torchaudio==2.11.0
torchcodec==0.14.0
transformers==5.13.1
accelerate==1.14.0
numpy==2.3.5
pandas==3.0.3
