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openpilot v0.9.9 release (#35334)
* openpilot v0.9.9 release date: 2025-06-05T19:54:08 master commit: 8aadf02b2fd91f4e1285e18c2c7feb32d93b66f5 * AGNOS 12.4 (#35558) agnos12.4 --------- Co-authored-by: Vehicle Researcher <user@comma.ai> Co-authored-by: Maxime Desroches <desroches.maxime@gmail.com>
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+31
-13
@@ -1,3 +1,4 @@
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import os
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import glob
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Import('env', 'envCython', 'arch', 'cereal', 'messaging', 'common', 'gpucommon', 'visionipc', 'transformations')
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@@ -13,7 +14,6 @@ common_src = [
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"transforms/transform.cc",
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]
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# OpenCL is a framework on Mac
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if arch == "Darwin":
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frameworks += ['OpenCL']
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@@ -38,17 +38,35 @@ for model_name in ['driving_vision', 'driving_policy']:
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cmd = f'python3 {Dir("#selfdrive/modeld").abspath}/get_model_metadata.py {fn}.onnx'
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lenv.Command(fn + "_metadata.pkl", [fn + ".onnx"] + tinygrad_files + script_files, cmd)
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# Compile tinygrad model
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pythonpath_string = 'PYTHONPATH="${PYTHONPATH}:' + env.Dir("#tinygrad_repo").abspath + '"'
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if arch == 'larch64':
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device_string = 'QCOM=1'
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elif arch == 'Darwin':
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device_string = 'CLANG=1 IMAGE=0'
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else:
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device_string = 'LLVM=1 LLVMOPT=1 BEAM=0 IMAGE=0'
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for model_name in ['driving_vision', 'driving_policy', 'dmonitoring_model']:
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def tg_compile(flags, model_name):
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pythonpath_string = 'PYTHONPATH="${PYTHONPATH}:' + env.Dir("#tinygrad_repo").abspath + '"'
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fn = File(f"models/{model_name}").abspath
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cmd = f'{pythonpath_string} {device_string} python3 {Dir("#tinygrad_repo").abspath}/examples/openpilot/compile3.py {fn}.onnx {fn}_tinygrad.pkl'
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lenv.Command(fn + "_tinygrad.pkl", [fn + ".onnx"] + tinygrad_files, cmd)
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return lenv.Command(
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fn + "_tinygrad.pkl",
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[fn + ".onnx"] + tinygrad_files,
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f'{pythonpath_string} {flags} python3 {Dir("#tinygrad_repo").abspath}/examples/openpilot/compile3.py {fn}.onnx {fn}_tinygrad.pkl'
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)
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# Compile small models
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for model_name in ['driving_vision', 'driving_policy', 'dmonitoring_model']:
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flags = {
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'larch64': 'QCOM=1',
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'Darwin': 'CPU=1 IMAGE=0 JIT=2',
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}.get(arch, 'LLVM=1 LLVMOPT=1 BEAM=0 IMAGE=0 JIT=2')
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tg_compile(flags, model_name)
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# Compile BIG model if USB GPU is available
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import subprocess
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from tinygrad import Device
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# because tg doesn't support multi-process
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devs = subprocess.check_output('python3 -c "from tinygrad import Device; print(list(Device.get_available_devices()))"', shell=True)
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if b"AMD" in devs:
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del Device
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print("USB GPU detected... building")
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flags = "AMD=1 AMD_IFACE=USB AMD_LLVM=1 NOLOCALS=0 IMAGE=0"
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bp = tg_compile(flags, "big_driving_policy")
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bv = tg_compile(flags, "big_driving_vision")
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lenv.SideEffect('lock', [bp, bv]) # tg doesn't support multi-process so build serially
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else:
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print("USB GPU not detected... skipping")
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