# PyTorch provides the device arrays returned by apply(). The cu126 wheel index
# gives a CUDA 12 build that bundles its own CUDA libraries, so it runs on the
# default Debian base image. The runtime loads libcudart from this wheel, so the
# wheel's CUDA major (not the base image) is what the loader picks up; the GPU CI
# matrix swaps in tesseract_requirements_cuda13.txt on the 13.x leg to exercise
# libcudart.so.13. Torch tensors expose __cuda_array_interface__, the CAI path of
# the CUDA IPC export.
--extra-index-url https://download.pytorch.org/whl/cu126
torch
