Musa Mahmood
864ead49c9
- jai release.jai builds the release build, then stages release/mcap-VERSION-windows-x64/ with mcap.exe and its symbols, onnxruntime (CUDA provider), FFmpeg, the assets, the OCR, label and segmentation models (each checked against its models.config), NVIDIA's CUDA 13 runtime, all of cuDNN 9 and NVRTC, a README and third-party notices; zips it with Windows' tar; prints its SHA-256. - no_cuda leaves the CUDA runtime out; - no_build packages bin/ as it is. - cuDNN is copied whole: it loads sub-libraries by name (9.26's cudnn_engines_tensor_ir64_9.dll), and one missing fails every run on the GPU. - Checked by running the package with no CUDA or cuDNN on PATH: OCR, labels and segmentation on CUDA, video import through its FFmpeg. - release/ is ignored.
32 lines
803 B
Plaintext
32 lines
803 B
Plaintext
# Build output: binaries, copied assets and logs go to bin/, intermediates to .build/ (the
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# binding generators in modules/ make their own).
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/bin/
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/bin-headless/
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.build/
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# Debuggers and editors
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*.rdi
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.vs/
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.vscode/
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*.10x
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# fork.jai writes one with this machine's paths
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*.focus-config
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# OS and sync clutter
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.DS_Store
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Thumbs.db
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.stfolder
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# OCR: downloaded, not committed (modules/onnxruntime/fetch.jai, modules/OCR/fetch_models.jai)
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/modules/onnxruntime/windows/
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/modules/onnxruntime/linux/
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/modules/onnxruntime/macos/
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/modules/onnxruntime/download/
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/modules/OCR/models/
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# Labels: downloaded, not committed (modules/Labels/fetch_models.jai)
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/modules/Labels/models/
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# Segmentation: exported by tools/export_mask2former.py, not committed
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/modules/Segment/models/
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# Releases: made by release.jai
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/release/
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