dragonpilot - 基於 openpilot 的開源駕駛輔助系統
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import os
Import('env', 'envCython', 'arch', 'cereal', 'messaging', 'common', 'gpucommon', 'visionipc', 'transformations')
lenv = env.Clone()
lenvCython = envCython.Clone()
libs = [cereal, messaging, common, visionipc, gpucommon,
'OpenCL', 'SNPE', 'capnp', 'zmq', 'kj', 'yuv']
common_src = [
Torch model (#2452) * refactor draw model * rebase master * correct valid_len * rename function * rename variables * white space * rebase to master * e16c13ac-927d-455e-ae0a-81b482a2c787 * start rewriting * save proress * compiles! * oops * many fixes * seems to work * fix desires * finally cleaned * wrong std for ll * dont pulse none * compiles! * ready to test * WIP does not compile * compiles * various fixes * does something! * full 3d * not needed * draw up to 100m * fix segfault * wrong sign * fix flicker * add road edges * finish v2 packet * Added pytorch supercombo * fix rebase * no more keras * Hacky solution to the NCHW/NHWC incompatibility between SNPE and our frame data * dont break dmonitoringd, final model 229e3ce1-7259-412b-85e6-cc646d70f1d8/430 * fix hack * Revert "fix hack" This reverts commit 5550fc01a7881d065a5eddbbb42dac55ef7ec36c. * Removed axis permutation hack * Folded padding layers into conv layers * Removed the last pad layer from the dlc * Revert "Removed the last pad layer from the dlc" This reverts commit b85f24b9e1d04abf64e85901a7ff49e00d82020a. * Revert "Folded padding layers into conv layers" This reverts commit b8d1773e4e76dea481acebbfad6a6235fbb58463. * vision model: 5034ac8b-5703-4a49-948b-11c064d10880/780 temporal model: 229e3ce1-7259-412b-85e6-cc646d70f1d8/430 with permute + pool opt * fix ui drawing with clips * ./compile_torch.py 5034ac8b-5703-4a49-948b-11c064d10880/780 dfcd2375-81d8-49df-95bf-1d2d6ad86010/450 with variable history length * std::clamp * not sure how this compiled before * 2895ace6-a296-47ac-86e6-17ea800a74e5/550 * db090195-8810-42de-ab38-bb835d775d87/601 * 5m is very little * onnx runner * add onnxruntime to pipfile * run in real time without using the whole CPU * bump cereal; * add stds * set road edge opacity based on stddev * don't access the model packet in paint * convert mat.h to a c++ header file (#2499) * update tests * safety first Co-authored-by: deanlee <deanlee3@gmail.com> Co-authored-by: mitchell <mitchell@comma.ai> Co-authored-by: Comma Device <device@comma.ai> Co-authored-by: George Hotz <george@comma.ai> Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
5 years ago
"models/commonmodel.cc",
"runners/snpemodel.cc",
"transforms/loadyuv.cc",
Torch model (#2452) * refactor draw model * rebase master * correct valid_len * rename function * rename variables * white space * rebase to master * e16c13ac-927d-455e-ae0a-81b482a2c787 * start rewriting * save proress * compiles! * oops * many fixes * seems to work * fix desires * finally cleaned * wrong std for ll * dont pulse none * compiles! * ready to test * WIP does not compile * compiles * various fixes * does something! * full 3d * not needed * draw up to 100m * fix segfault * wrong sign * fix flicker * add road edges * finish v2 packet * Added pytorch supercombo * fix rebase * no more keras * Hacky solution to the NCHW/NHWC incompatibility between SNPE and our frame data * dont break dmonitoringd, final model 229e3ce1-7259-412b-85e6-cc646d70f1d8/430 * fix hack * Revert "fix hack" This reverts commit 5550fc01a7881d065a5eddbbb42dac55ef7ec36c. * Removed axis permutation hack * Folded padding layers into conv layers * Removed the last pad layer from the dlc * Revert "Removed the last pad layer from the dlc" This reverts commit b85f24b9e1d04abf64e85901a7ff49e00d82020a. * Revert "Folded padding layers into conv layers" This reverts commit b8d1773e4e76dea481acebbfad6a6235fbb58463. * vision model: 5034ac8b-5703-4a49-948b-11c064d10880/780 temporal model: 229e3ce1-7259-412b-85e6-cc646d70f1d8/430 with permute + pool opt * fix ui drawing with clips * ./compile_torch.py 5034ac8b-5703-4a49-948b-11c064d10880/780 dfcd2375-81d8-49df-95bf-1d2d6ad86010/450 with variable history length * std::clamp * not sure how this compiled before * 2895ace6-a296-47ac-86e6-17ea800a74e5/550 * db090195-8810-42de-ab38-bb835d775d87/601 * 5m is very little * onnx runner * add onnxruntime to pipfile * run in real time without using the whole CPU * bump cereal; * add stds * set road edge opacity based on stddev * don't access the model packet in paint * convert mat.h to a c++ header file (#2499) * update tests * safety first Co-authored-by: deanlee <deanlee3@gmail.com> Co-authored-by: mitchell <mitchell@comma.ai> Co-authored-by: Comma Device <device@comma.ai> Co-authored-by: George Hotz <george@comma.ai> Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
5 years ago
"transforms/transform.cc"
]
thneed_src_common = [
"thneed/thneed_common.cc",
"thneed/serialize.cc",
]
thneed_src_qcom = thneed_src_common + ["thneed/thneed_qcom2.cc"]
thneed_src_pc = thneed_src_common + ["thneed/thneed_pc.cc"]
thneed_src = thneed_src_qcom if arch == "larch64" else thneed_src_pc
if arch == "larch64":
libs += ['gsl', 'CB', 'pthread', 'dl']
else:
libs += ['pthread']
if not GetOption('snpe'):
# for onnx support
common_src += ['runners/onnxmodel.cc']
# tell runners to use onnx
lenv['CFLAGS'].append("-DUSE_ONNX_MODEL")
lenv['CXXFLAGS'].append("-DUSE_ONNX_MODEL")
if arch == "Darwin":
# fix OpenCL
del libs[libs.index('OpenCL')]
lenv['FRAMEWORKS'] = ['OpenCL']
if arch == "Darwin" or arch == "aarch64":
# no SNPE on Mac and ARM Linux
del libs[libs.index('SNPE')]
del common_src[common_src.index('runners/snpemodel.cc')]
for pathdef, fn in {'TRANSFORM': 'transforms/transform.cl', 'LOADYUV': 'transforms/loadyuv.cl', 'ONNXRUNNER': 'runners/onnx_runner.py'}.items():
for xenv in (lenv, lenvCython):
xenv['CXXFLAGS'].append(f'-D{pathdef}_PATH=\\"{File(fn).abspath}\\"')
common_frameworks = []
common_libs = envCython["LIBS"] + [gpucommon, common, 'zmq']
if arch == "Darwin":
common_frameworks.append('OpenCL')
else:
common_libs.append('OpenCL')
onnxmodel_lib = lenv.Library('onnxmodel', ['runners/onnxmodel.cc'])
snpemodel_lib = lenv.Library('snpemodel', ['runners/snpemodel.cc'])
commonmodel_lib = lenv.Library('commonmodel', common_src)
Rewrite modeld in python (#29230) * Added modeld.py (WIP) * No more VisionIpcBufExtra * Started work on cython bindings for runmodel * Got ONNXModel cython bindings mostly working, added ModelFrame bindings * Got modeld main loop running without model eval * Move everything into ModelState * Doesn't crash! * Moved ModelState into modeld.py * Added driving_pyx * Added cython bindings for message generation * Moved CLContext definition to visionipc.pxd * *facepalm* * Move cl_pyx into commonmodel_pyx * Split out ONNXModel into a subclass of RunModel * Added snpemodel/thneedmodel bindings * Removed modeld.cc * Fixed scons for macOS * Fixed sconscript * Added flag for thneedmodel * paths are now relative to openpilot root dir * Set cl kernel paths in SConscript * Set LD_PRELOAD=libthneed.so to fix ioctl interception * Run from root dir * A few more fixes * A few more minor fixes * Use C update_calibration for now to exactly match refs * Add nav_instructions input * Link driving_pyx.pyx with transformations * Checked python FirstOrderFilter against C++ FirstOrderFilter * Set process name to fix test_onroad * Revert changes to onnxmodel.cc * Fixed bad onnx_runner.py path in onnxmodel.cc * Import all constants from driving.h * logging -> cloudlog * pylint import-error suppressions no longer needed? * Loop in SConscript * Added parens * Bump modeld cpu usage in test_onroad * Get rid of use_nav * use config_realtime_process * error message from ioctl sniffer was messing up pyenv * cast distance_idx to int * Removed cloudlog.infos in model.run * Fixed rebase conflicts * Clean up driving.pxd/pyx * Fixed linter error
2 years ago
driving_lib = lenv.Library('driving', ['models/driving.cc'])
lenvCython.Program('runners/runmodel_pyx.so', 'runners/runmodel_pyx.pyx', LIBS=common_libs, FRAMEWORKS=common_frameworks)
lenvCython.Program('runners/onnxmodel_pyx.so', 'runners/onnxmodel_pyx.pyx', LIBS=[onnxmodel_lib, *common_libs], FRAMEWORKS=common_frameworks)
lenvCython.Program('runners/snpemodel_pyx.so', 'runners/snpemodel_pyx.pyx', LIBS=[snpemodel_lib, *common_libs], FRAMEWORKS=common_frameworks)
lenvCython.Program('models/commonmodel_pyx.so', 'models/commonmodel_pyx.pyx', LIBS=[commonmodel_lib, *common_libs], FRAMEWORKS=common_frameworks)
Rewrite modeld in python (#29230) * Added modeld.py (WIP) * No more VisionIpcBufExtra * Started work on cython bindings for runmodel * Got ONNXModel cython bindings mostly working, added ModelFrame bindings * Got modeld main loop running without model eval * Move everything into ModelState * Doesn't crash! * Moved ModelState into modeld.py * Added driving_pyx * Added cython bindings for message generation * Moved CLContext definition to visionipc.pxd * *facepalm* * Move cl_pyx into commonmodel_pyx * Split out ONNXModel into a subclass of RunModel * Added snpemodel/thneedmodel bindings * Removed modeld.cc * Fixed scons for macOS * Fixed sconscript * Added flag for thneedmodel * paths are now relative to openpilot root dir * Set cl kernel paths in SConscript * Set LD_PRELOAD=libthneed.so to fix ioctl interception * Run from root dir * A few more fixes * A few more minor fixes * Use C update_calibration for now to exactly match refs * Add nav_instructions input * Link driving_pyx.pyx with transformations * Checked python FirstOrderFilter against C++ FirstOrderFilter * Set process name to fix test_onroad * Revert changes to onnxmodel.cc * Fixed bad onnx_runner.py path in onnxmodel.cc * Import all constants from driving.h * logging -> cloudlog * pylint import-error suppressions no longer needed? * Loop in SConscript * Added parens * Bump modeld cpu usage in test_onroad * Get rid of use_nav * use config_realtime_process * error message from ioctl sniffer was messing up pyenv * cast distance_idx to int * Removed cloudlog.infos in model.run * Fixed rebase conflicts * Clean up driving.pxd/pyx * Fixed linter error
2 years ago
lenvCython.Program('models/driving_pyx.so', 'models/driving_pyx.pyx', LIBS=[driving_lib, commonmodel_lib, cereal, messaging, *common_libs, 'capnp', 'kj'] + transformations, FRAMEWORKS=common_frameworks)
common_model = lenv.Object(common_src)
lenv.Program('_dmonitoringmodeld', [
"dmonitoringmodeld.cc",
"models/dmonitoring.cc",
]+common_model, LIBS=libs)
lenv.Program('_navmodeld', [
"navmodeld.cc",
"models/nav.cc",
]+common_model, LIBS=libs)
# build thneed model
if arch == "larch64" or GetOption('pc_thneed'):
fn = File("models/supercombo").abspath
tinygrad_opts = ["NATIVE_EXPLOG=1", "VALIDHACKS=1", "OPTLOCAL=1", "IMAGE=2", "GPU=1", "ENABLE_METHOD_CACHE=1"]
if not GetOption('pc_thneed'):
# use FLOAT16 on device for speed + don't cache the CL kernels for space
tinygrad_opts += ["FLOAT16=1", "PYOPENCL_NO_CACHE=1"]
cmd = f"cd {Dir('#').abspath}/tinygrad_repo && " + ' '.join(tinygrad_opts) + f" python3 openpilot/compile.py {fn}.onnx {fn}.thneed"
tinygrad_files = sum([lenv.Glob("#"+x) for x in open(File("#release/files_common").abspath).read().split("\n") if x.startswith("tinygrad_repo/")], [])
lenv.Command(fn + ".thneed", [fn + ".onnx"] + tinygrad_files, cmd)
Rewrite modeld in python (#29230) * Added modeld.py (WIP) * No more VisionIpcBufExtra * Started work on cython bindings for runmodel * Got ONNXModel cython bindings mostly working, added ModelFrame bindings * Got modeld main loop running without model eval * Move everything into ModelState * Doesn't crash! * Moved ModelState into modeld.py * Added driving_pyx * Added cython bindings for message generation * Moved CLContext definition to visionipc.pxd * *facepalm* * Move cl_pyx into commonmodel_pyx * Split out ONNXModel into a subclass of RunModel * Added snpemodel/thneedmodel bindings * Removed modeld.cc * Fixed scons for macOS * Fixed sconscript * Added flag for thneedmodel * paths are now relative to openpilot root dir * Set cl kernel paths in SConscript * Set LD_PRELOAD=libthneed.so to fix ioctl interception * Run from root dir * A few more fixes * A few more minor fixes * Use C update_calibration for now to exactly match refs * Add nav_instructions input * Link driving_pyx.pyx with transformations * Checked python FirstOrderFilter against C++ FirstOrderFilter * Set process name to fix test_onroad * Revert changes to onnxmodel.cc * Fixed bad onnx_runner.py path in onnxmodel.cc * Import all constants from driving.h * logging -> cloudlog * pylint import-error suppressions no longer needed? * Loop in SConscript * Added parens * Bump modeld cpu usage in test_onroad * Get rid of use_nav * use config_realtime_process * error message from ioctl sniffer was messing up pyenv * cast distance_idx to int * Removed cloudlog.infos in model.run * Fixed rebase conflicts * Clean up driving.pxd/pyx * Fixed linter error
2 years ago
thneed_lib = env.SharedLibrary('thneed', thneed_src, LIBS=[gpucommon, common, 'zmq', 'OpenCL', 'dl'])
thneedmodel_lib = env.Library('thneedmodel', ['runners/thneedmodel.cc'])
lenvCython.Program('runners/thneedmodel_pyx.so', 'runners/thneedmodel_pyx.pyx', LIBS=envCython["LIBS"]+[thneedmodel_lib, thneed_lib, gpucommon, common, 'dl', 'zmq', 'OpenCL'])