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								import os
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								Import('env', 'arch', 'cereal', 'messaging', 'common', 'gpucommon', 'visionipc', 'transformations')
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								lenv = env.Clone()
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								libs = [cereal, messaging, common, visionipc, gpucommon,
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								        'OpenCL', 'SNPE', 'capnp', 'zmq', 'kj', 'yuv']
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								def get_dlsym_offset():
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								  """Returns the offset between dlopen and dlsym in libdl.so"""
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								  import ctypes
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								  libdl = ctypes.PyDLL('libdl.so')
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								  dlopen = ctypes.cast(libdl.dlopen, ctypes.c_void_p).value
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								  dlsym = ctypes.cast(libdl.dlsym, ctypes.c_void_p).value
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								  return dlsym - dlopen
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								common_src = [
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								  "models/commonmodel.cc",
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								  "runners/snpemodel.cc",
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								  "transforms/loadyuv.cc",
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								  "transforms/transform.cc"
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								]
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								thneed_src = [
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								  "thneed/thneed_common.cc",
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								  "thneed/thneed_qcom2.cc",
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								  "thneed/serialize.cc",
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								  "runners/thneedmodel.cc",
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								]
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								use_thneed = not GetOption('no_thneed')
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								if arch == "larch64":
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								  libs += ['gsl', 'CB', 'pthread', 'dl']
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								  if use_thneed:
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								    common_src += thneed_src
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								    dlsym_offset = get_dlsym_offset()
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								    lenv['CXXFLAGS'].append("-DUSE_THNEED")
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								    lenv['CXXFLAGS'].append(f"-DDLSYM_OFFSET={dlsym_offset}")
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								else:
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								  libs += ['pthread']
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								  if not GetOption('snpe'):
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								    # for onnx support
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								    common_src += ['runners/onnxmodel.cc']
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								    # tell runners to use onnx
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								    lenv['CFLAGS'].append("-DUSE_ONNX_MODEL")
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								    lenv['CXXFLAGS'].append("-DUSE_ONNX_MODEL")
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								  if arch == "Darwin":
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								    # fix OpenCL
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								    del libs[libs.index('OpenCL')]
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								    lenv['FRAMEWORKS'] = ['OpenCL']
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								    # no SNPE on Mac
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								    del libs[libs.index('SNPE')]
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								    del common_src[common_src.index('runners/snpemodel.cc')]
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								common_model = lenv.Object(common_src)
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								lenv.Program('_dmonitoringmodeld', [
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								    "dmonitoringmodeld.cc",
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								    "models/dmonitoring.cc",
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								  ]+common_model, LIBS=libs)
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								# build thneed model
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								if use_thneed and arch == "larch64" or GetOption('pc_thneed'):
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								  fn = File("models/supercombo").abspath
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								  if GetOption('pc_thneed'):
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								    cmd = f"cd {Dir('#').abspath}/tinygrad_repo && GPU=1 NATIVE_EXPLOG=1 OPTWG=1 UNSAFE_FLOAT4=1 DEBUGCL=1 python3 openpilot/compile.py {fn}.onnx {fn}.thneed"
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								  else:
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								    cmd = f"cd {Dir('#').abspath}/tinygrad_repo && FLOAT16=1 MATMUL=1 PYOPENCL_NO_CACHE=1 NATIVE_EXPLOG=1 OPTWG=1 UNSAFE_FLOAT4=1 DEBUGCL=1 python3 openpilot/compile.py {fn}.onnx {fn}.thneed"
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								  # is there a better way then listing all of tinygrad?
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								  lenv.Command(fn + ".thneed", [fn + ".onnx",
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								    "#tinygrad_repo/openpilot/compile.py",
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								    "#tinygrad_repo/accel/opencl/conv.cl",
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								    "#tinygrad_repo/accel/opencl/matmul.cl",
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								    "#tinygrad_repo/accel/opencl/ops_opencl.py",
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								    "#tinygrad_repo/accel/opencl/preprocessing.py",
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								    "#tinygrad_repo/extra/onnx.py",
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								    "#tinygrad_repo/extra/thneed.py",
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								    "#tinygrad_repo/extra/utils.py",
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								    "#tinygrad_repo/tinygrad/llops/ops_gpu.py",
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								    "#tinygrad_repo/tinygrad/llops/ops_opencl.py",
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								    "#tinygrad_repo/tinygrad/helpers.py",
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								    "#tinygrad_repo/tinygrad/mlops.py",
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								    "#tinygrad_repo/tinygrad/ops.py",
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								    "#tinygrad_repo/tinygrad/shapetracker.py",
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								    "#tinygrad_repo/tinygrad/tensor.py",
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								    "#tinygrad_repo/tinygrad/nn/__init__.py"
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								  ], cmd)
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								llenv = lenv.Clone()
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								if GetOption('pc_thneed'):
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								  pc_thneed_src = [
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								    "thneed/thneed_common.cc",
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								    "thneed/thneed_pc.cc",
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								    "thneed/serialize.cc",
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								    "runners/thneedmodel.cc",
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								  ]
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								  llenv['CFLAGS'].append("-DUSE_THNEED")
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								  llenv['CXXFLAGS'].append("-DUSE_THNEED")
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								  common_model += llenv.Object(pc_thneed_src)
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								  libs += ['dl']
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								llenv.Program('_modeld', [
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								    "modeld.cc",
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								    "models/driving.cc",
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								  ]+common_model, LIBS=libs + transformations)
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