fix(deps): pin torch to the CUDA 12.4 wheel channel
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The default pypi torch (2.11 as of lockfile) ships cu13 wheels, which
refuse to initialise against the deploy host's NVIDIA 12.4 driver
(UserWarning: "driver on your system is too old (found version 12040)").
/healthz reported ocr: fail because Surya couldn't pick up the GPU.

Use `tool.uv.sources` to route torch through PyTorch's cu124 index.
That pulls torch 2.6.0+cu124 (still satisfies surya-ocr >= 0.9). Lock
updated. transformers downgraded to 4.57.6, triton to 3.2.0 — all
compatible with surya and each other.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Dirk Riemann 2026-04-18 13:02:26 +02:00
parent 44c3428993
commit d90117807b
2 changed files with 189 additions and 253 deletions

View file

@ -34,6 +34,8 @@ ocr = [
# Real OCR engine — pulls torch + CUDA wheels. Kept optional so CI
# (no GPU) can install the base package without the model deps.
"surya-ocr>=0.9",
# torch pinned to the cu124 wheel channel via tool.uv.sources below
# so the GPU wheels match the deploy host's CUDA 12.4 driver.
"torch>=2.4",
]
dev = [
@ -44,6 +46,17 @@ dev = [
"mypy>=1.13",
]
# Make uv pull torch from the CUDA 12.4 wheel channel to match the
# deploy host's NVIDIA driver (server has CUDA 12.4; pypi torch 2.11
# ships cu13 wheels which refuse to initialise on an older driver).
[[tool.uv.index]]
name = "pytorch-cu124"
url = "https://download.pytorch.org/whl/cu124"
explicit = true
[tool.uv.sources]
torch = { index = "pytorch-cu124" }
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

429
uv.lock
View file

@ -110,6 +110,79 @@ wheels = [
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