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							65 lines
						
					
					
						
							1.9 KiB
						
					
					
				
			
		
		
	
	
							65 lines
						
					
					
						
							1.9 KiB
						
					
					
				Import('env', 'arch', 'cereal', 'messaging', 'common', 'gpucommon', 'visionipc')
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lenv = env.Clone()
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libs = [cereal, messaging, common, 'OpenCL', 'SNPE', 'symphony-cpu', 'capnp', 'zmq', 'kj', 'yuv', gpucommon, visionipc]
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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.cc",
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  "thneed/serialize.cc",
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  "runners/thneedmodel.cc",
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]
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if arch == "aarch64" or arch == "larch64":
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  libs += ['gsl', 'CB']
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  libs += ['gnustl_shared'] if arch == "aarch64" else ['pthread', 'dl']
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  common_src += thneed_src
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  lenv['CFLAGS'].append("-DUSE_THNEED")
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  lenv['CXXFLAGS'].append("-DUSE_THNEED")
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else:
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  libs += ['pthread']
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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 libs[libs.index('symphony-cpu')]
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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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# build thneed model
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if arch == "aarch64" or arch == "larch64":
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  compiler = lenv.Program('thneed/compile', ["thneed/compile.cc" ]+common_model, LIBS=libs)
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  cmd = f"cd {Dir('.').get_abspath()} && {compiler[0].get_abspath()} ../../models/supercombo.dlc ../../models/supercombo.thneed --binary"
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  snpe_path = "/data/pythonpath/phonelibs/snpe/"+arch
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  cenv = Environment(ENV = {'LD_LIBRARY_PATH' : snpe_path+":"+lenv["ENV"]["LD_LIBRARY_PATH"]})
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  cenv.Command("../../models/supercombo.thneed", ["../../models/supercombo.dlc", compiler], cmd)
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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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lenv.Program('_modeld', [
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    "modeld.cc",
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    "models/driving.cc",
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  ]+common_model, LIBS=libs)
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