openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

91 lines
2.7 KiB

import os
Import('env', 'arch', 'cereal', 'messaging', 'common', 'gpucommon', 'visionipc')
lenv = env.Clone()
libs = [cereal, messaging, common, visionipc, gpucommon,
'OpenCL', 'SNPE', 'symphony-cpu', 'capnp', 'zmq', 'kj', 'yuv']
def get_dlsym_offset():
"""Returns the offset between dlopen and dlsym in libdl.so"""
import ctypes
libdl = ctypes.PyDLL('libdl.so')
dlopen = ctypes.cast(libdl.dlopen, ctypes.c_void_p).value
dlsym = ctypes.cast(libdl.dlsym, ctypes.c_void_p).value
return dlsym - dlopen
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> old-commit-hash: 08846b5c0ec3a5299c8cb73904da15a18d3aaccf
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> old-commit-hash: 08846b5c0ec3a5299c8cb73904da15a18d3aaccf
5 years ago
"transforms/transform.cc"
]
thneed_src = [
"thneed/thneed.cc",
"thneed/serialize.cc",
"thneed/optimizer.cc",
"runners/thneedmodel.cc",
]
use_thneed = not GetOption('no_thneed')
bigmodel (#23684) * Added wide cam vipc client and bigmodel transform logic * Added wide_frame to ModelState, should still work normally * Refactored image input into addImage method, should still work normally * Updated thneed/compile.cc * Bigmodel, untested: 44f83118-b375-4d4c-ae12-2017124f0cf4/200 * Have to initialize extra buffer in SNPEModel * Default paramater value in the wrong place I think * Move USE_EXTRA to SConscript * New model: 6c34d59a-acc3-4877-84bd-904c10745ba6/250 * move use extra check to runtime, not on C2 * this is always true * more C2 checks * log if frames are out of sync * more logging on no frame * store in pointer * print sof * add sync logic * log based on sof difference as well * keep both models * less assumptions * define above thneed * typo * simplify * no need for second client is main is already wide * more comments update * no optional reference * more logging to debug lags * add to release files * both defines * New model: 6831a77f-2574-4bfb-8077-79b0972a2771/950 * Path offset no longer relevant * Remove duplicate execute * Moved bigmodel back to big_supercombo.dlc * add wide vipc stream * Tici must be tici * Needs state too * add wide cam support to model replay * handle syncing better * ugh, c2 * print that * handle ecam lag * skip first one * so close * update refs Co-authored-by: mitchellgoffpc <mitchellgoffpc@gmail.com> Co-authored-by: Harald Schafer <harald.the.engineer@gmail.com> Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> Co-authored-by: Comma Device <device@comma.ai> old-commit-hash: 85efde269da2680a77c75c248aafc8c29435ca98
3 years ago
use_extra = True # arch == "larch64"
lenv['CXXFLAGS'].append('-DUSE_EXTRA=true' if use_extra else '-DUSE_EXTRA=false')
if arch == "aarch64" or arch == "larch64":
libs += ['gsl', 'CB']
libs += ['gnustl_shared'] if arch == "aarch64" else ['pthread', 'dl']
if use_thneed:
common_src += thneed_src
dlsym_offset = get_dlsym_offset()
lenv['CXXFLAGS'].append("-DUSE_THNEED")
lenv['CXXFLAGS'].append(f"-DDLSYM_OFFSET={dlsym_offset}")
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']
# no SNPE on Mac
del libs[libs.index('SNPE')]
del libs[libs.index('symphony-cpu')]
del common_src[common_src.index('runners/snpemodel.cc')]
common_model = lenv.Object(common_src)
# build thneed model
if use_thneed and arch in ("aarch64", "larch64"):
bigmodel (#23684) * Added wide cam vipc client and bigmodel transform logic * Added wide_frame to ModelState, should still work normally * Refactored image input into addImage method, should still work normally * Updated thneed/compile.cc * Bigmodel, untested: 44f83118-b375-4d4c-ae12-2017124f0cf4/200 * Have to initialize extra buffer in SNPEModel * Default paramater value in the wrong place I think * Move USE_EXTRA to SConscript * New model: 6c34d59a-acc3-4877-84bd-904c10745ba6/250 * move use extra check to runtime, not on C2 * this is always true * more C2 checks * log if frames are out of sync * more logging on no frame * store in pointer * print sof * add sync logic * log based on sof difference as well * keep both models * less assumptions * define above thneed * typo * simplify * no need for second client is main is already wide * more comments update * no optional reference * more logging to debug lags * add to release files * both defines * New model: 6831a77f-2574-4bfb-8077-79b0972a2771/950 * Path offset no longer relevant * Remove duplicate execute * Moved bigmodel back to big_supercombo.dlc * add wide vipc stream * Tici must be tici * Needs state too * add wide cam support to model replay * handle syncing better * ugh, c2 * print that * handle ecam lag * skip first one * so close * update refs Co-authored-by: mitchellgoffpc <mitchellgoffpc@gmail.com> Co-authored-by: Harald Schafer <harald.the.engineer@gmail.com> Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> Co-authored-by: Comma Device <device@comma.ai> old-commit-hash: 85efde269da2680a77c75c248aafc8c29435ca98
3 years ago
fn = "../../models/big_supercombo" if use_extra else "../../models/supercombo"
compiler = lenv.Program('thneed/compile', ["thneed/compile.cc"]+common_model, LIBS=libs)
cmd = f"cd {Dir('.').abspath} && {compiler[0].abspath} {fn}.dlc {fn}.thneed --binary"
lib_paths = ':'.join(Dir(p).abspath for p in lenv["LIBPATH"])
kernel_path = os.path.join(Dir('.').abspath, "thneed", "kernels")
cenv = Environment(ENV={'LD_LIBRARY_PATH': f"{lib_paths}:{lenv['ENV']['LD_LIBRARY_PATH']}", 'KERNEL_PATH': kernel_path})
kernels = [os.path.join(kernel_path, x) for x in os.listdir(kernel_path) if x.endswith(".cl")]
cenv.Command(fn + ".thneed", [fn + ".dlc", kernels, compiler], cmd)
lenv.Program('_dmonitoringmodeld', [
"dmonitoringmodeld.cc",
"models/dmonitoring.cc",
]+common_model, LIBS=libs)
lenv.Program('_modeld', [
"modeld.cc",
"models/driving.cc",
]+common_model, LIBS=libs)