fix(deps): torch from CUDA 12.4 wheel channel #35

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goldstein merged 1 commit from fix/torch-cu124 into main 2026-04-18 11:02:39 +00:00

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goldstein commented 2026-04-18 11:02:36 +00:00

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Host driver is 12.4; default pypi torch 2.11 ships cu13 wheels. /healthz was reporting ocr: fail. Route torch through download.pytorch.org/whl/cu124 via tool.uv.sources.

Host driver is 12.4; default pypi torch 2.11 ships cu13 wheels. /healthz was reporting ocr: fail. Route torch through download.pytorch.org/whl/cu124 via tool.uv.sources.

goldstein added 1 commit 2026-04-18 11:02:37 +00:00

fix(deps): pin torch to the CUDA 12.4 wheel channel ... d90117807b

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>

goldstein merged commit fae8c3267f into main 2026-04-18 11:02:39 +00:00

goldstein referenced this pull request from a commit 2026-04-18 11:02:40 +00:00

fix(deps): torch cu124 (#35)

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Reference: goldstein/infoxtractor#35

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