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Import('env', 'arch', 'messaging', 'common', 'gpucommon', 'visionipc')
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lenv = env.Clone()
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libs = [messaging, common, 'OpenCL', 'SNPE', 'capnp', 'zmq', 'kj', 'yuv', gpucommon, visionipc]
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common_src = [
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"models/commonmodel.c",
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"runners/snpemodel.cc",
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"transforms/loadyuv.c",
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"transforms/transform.c"]
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if arch == "aarch64":
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libs += ['gsl', 'CB', 'gnustl_shared']
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elif arch == "larch64":
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libs += ['gsl', 'CB', 'symphony-cpu', 'pthread']
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else:
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libs += ['symphony-cpu', 'pthread']
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# for tensorflow support
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common_src += ['runners/tfmodel.cc']
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# tell runners to use it
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lenv['CFLAGS'].append("-DUSE_TF_MODEL")
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lenv['CXXFLAGS'].append("-DUSE_TF_MODEL")
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common = 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, LIBS=libs)
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lenv.Program('_modeld', [
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"modeld.cc",
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"models/driving.cc",
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]+common, LIBS=libs)
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