paddlepaddle-gpu requires libcuda.so.1 at import time, but no CUDA
driver exists during Docker build. The download script now catches
this ImportError and skips PaddleOCR model pre-download on amd64.
Models will download on first use at runtime when the CUDA driver
is available via nvidia-container-toolkit.
On arm64 (CPU paddlepaddle), models are still pre-downloaded at build
time as before.
Also reverted CI to amd64-only Docker build test for speed. Multi-arch
build is tested on release via the release workflow.
paddlepaddle-gpu tries to load libcuda.so.1 on import, but no GPU
driver exists during Docker build. Set PADDLE_DEVICE=cpu, FLAGS_use_cuda=0,
and CUDA_VISIBLE_DEVICES="" before any ML imports to force CPU mode.
basicsr has a known torchvision.transforms.functional_tensor compat
issue on arm64 with newer torchvision. On arm64, upscale.py falls back
to Lanczos via ImportError anyway. Smoke test still verifies the model
weights file exists on all platforms.
PaddleOCR uses its own language codes (ch, japan, korean, latin) not
ISO codes (zh, ja, ko, de, fr, es). The download script and ocr.py
now map API language codes to PaddleOCR codes correctly. German,
French, and Spanish all use the "latin" script model.
Downloads all rembg models (6), RealESRGAN_x4plus.pth weights,
PaddleOCR models for all 7 supported languages, verifies MediaPipe
bundles its face detection models. Runs a final smoke test importing
every ML library. Any failure exits non-zero, failing the Docker build.
Siddharth Kumar Sah