Keysat
09a1d3590d
NGC PyTorch (the only base with working torch on Spark's ARM64 + sm_120 Blackwell) doesn't ship torchaudio. Stock pip wheels are amd64-only AND ABI-incompatible with NGC's custom torch 2.10.0a anyway. Pip install just fails or crashes at runtime. Real fix: - apt install git cmake build-essential ninja-build - pip install git+https://github.com/pytorch/audio.git@v2.5.1 with TORCH_CUDA_ARCH_LIST="9.0;10.0;12.0" (sm_120 for Blackwell GB10) - this compiles torchaudio against the torch already in the image, so ABI matches by construction Then constraints.txt locks torch + torchvision + torchaudio so the later `pip install whisperx` can't swap any of them. Cost: +3-5 min to the first install. Docker layer cache reuses the built torchaudio on every subsequent rebuild. Torchaudio v2.5.1 is the last tag that builds cleanly against torch 2.5-2.10 — main branch is too volatile against NGC's alpha torch. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
14 lines
972 B
TypeScript
14 lines
972 B
TypeScript
import { VersionInfo, IMPOSSIBLE } from '@start9labs/start-sdk'
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export const v0_1_0 = VersionInfo.of({
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version: '0.12.0:3',
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releaseNotes: {
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en_US:
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'v0.12.0:3 — hotfix: deeper torchaudio fix. The Spark is ARM64 (Grace + GB10 Blackwell), and the NGC PyTorch container — the only base with a working torch for sm_120 ARM64 — does NOT ship torchaudio at all. Stock pip wheels are amd64-only and ABI-incompatible with NGC\'s custom torch anyway. Real fix: build torchaudio from source against NGC\'s torch (v2.5.1, the last torchaudio tag that compiles cleanly against torch 2.5–2.10) with TORCH_CUDA_ARCH_LIST set for Blackwell sm_120. Build adds ~3-5 min to the first WhisperX install (only first time — Docker layer cache reuses it after). Plus the constraints.txt approach from 0.12.0:2 to lock torch + torchvision + torchaudio against any later pip swap-out.',
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},
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migrations: {
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up: async ({ effects }) => {},
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down: IMPOSSIBLE,
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},
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})
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