SnapOtterandGitHub 7cd514dd8c fix(ai): detect a paddle-only GPU so OCR uses PaddleOCR-GPU not Tesseract (#439) ...

gpu_available() probed torch, then ONNX Runtime, then nvidia-smi, but never
paddle. The OCR bundle ships paddlepaddle-gpu with no torch or ONNX, so on an
OCR-only GPU host every probe missed the GPU: nvidia-smi saw it but returned
False by design, and OCR silently fell back to Tesseract (CPU, lower quality)
with no signal why.

Add a paddle probe as the last resort in gpu_available(). It runs only after
nvidia-smi confirms a GPU is physically present, and in an isolated subprocess,
because importing paddlepaddle-gpu on a GPU-less host segfaults and would wedge
the shared AI dispatcher. It returns True only when paddle reports both a CUDA
build and a visible device, signalling the result through the exit code so
paddle's own import chatter on stdout cannot corrupt the reading.

CPU-only and torch/ONNX GPU hosts are unaffected: the probe never runs on the
former (nvidia-smi finds nothing) and is never reached on the latter (the torch
step already returns True first).

Claude-Session: https://claude.ai/code/session_01NfaRxjek8ex5nawvx3mVMf

2026-07-05 22:57:36 +08:00

..

__init__.py

feat: add OpenTelemetry distributed tracing (enterprise) (#232)

2026-06-15 12:53:06 +08:00

test_gpu_detection.py

fix(ai): detect a paddle-only GPU so OCR uses PaddleOCR-GPU not Tesseract (#439)

2026-07-05 22:57:36 +08:00

test_ocr_cpu_fallback.py

fix: GPU deployment robustness (6 fixes from end-to-end testing on an RTX 4070) (#334)

2026-06-23 18:39:51 +08:00

test_tracing.py

feat: add OpenTelemetry distributed tracing (enterprise) (#232)

2026-06-15 12:53:06 +08:00