mirror of
https://github.com/firestar5683/StarPilot.git
synced 2026-11-12 23:43:44 +08:00
Harald Schäfer
6080cc6168
* Ship precompiled eGPU model and camera warps Compile f78ed37d-afad-4dbc-8050-40ea885eedde/12864 through xx/ml_tools/openpilot_compile using the pinned tinygrad version. * Precompile the existing master driving model Use the unchanged master ONNX (SHA-256 6fee5937923c74848df4a63f6239eb6331c6274dd4bdb7a5d6ec0388a8b543d5) instead of updating the trained model. * Compile camera warps on device * Remove obsolete ONNX chunking and big model build check * Chunk model artifacts only during release packaging * Require model and camera warps for Chestnut readiness * Recompile precompiled CPU helpers for the runtime host * Ship the eGPU model with an ARM submission helper * Exempt model pickles from the build product size limit
43 lines
1.0 KiB
Python
Executable File
43 lines
1.0 KiB
Python
Executable File
#!/usr/bin/env python3
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import os
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import re
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import subprocess
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import sys
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HERE = os.path.abspath(os.path.dirname(__file__))
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ROOT = os.path.abspath(os.path.join(HERE, "../.."))
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blacklist = [
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".git/",
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".venv/",
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".github/workflows/",
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"matlab.*.md",
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# no LFS or submodules in release
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".lfsconfig",
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".gitattributes",
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".git$",
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".gitmodules",
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]
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# gets you through the blacklist
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whitelist: list[str] = [
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]
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if __name__ == "__main__":
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tracked_files = subprocess.check_output(["git", "ls-files", "-z", "--recurse-submodules"], cwd=ROOT).split(b"\0")
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for tracked_file in tracked_files:
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if not tracked_file:
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continue
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rf = os.fsdecode(tracked_file)
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if not os.getenv("INCLUDE_BIG_MODEL") and rf.startswith("openpilot/selfdrive/modeld/models/big_driving_tinygrad.pkl"):
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continue
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blacklisted = any(re.search(p, rf) for p in blacklist)
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whitelisted = any(re.search(p, rf) for p in whitelist)
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if blacklisted and not whitelisted:
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continue
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sys.stdout.buffer.write(tracked_file + b"\0")
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