dragonpilot - 基於 openpilot 的開源駕駛輔助系統
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import os
Import('env', 'arch', 'cereal', 'messaging', 'common', 'gpucommon', 'visionipc', 'transformations')
lenv = env.Clone()
libs = [cereal, messaging, common, visionipc, gpucommon,
'OpenCL', 'SNPE', '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>
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 = [
"thneed/thneed_common.cc",
"thneed/thneed_qcom2.cc",
"thneed/serialize.cc",
"runners/thneedmodel.cc",
]
use_thneed = not GetOption('no_thneed')
if arch == "larch64":
libs += ['gsl', 'CB', '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 common_src[common_src.index('runners/snpemodel.cc')]
common_model = lenv.Object(common_src)
lenv.Program('_dmonitoringmodeld', [
"dmonitoringmodeld.cc",
"models/dmonitoring.cc",
]+common_model, LIBS=libs)
# build thneed model
if use_thneed and arch == "larch64" or GetOption('pc_thneed'):
fn = File("models/supercombo").abspath
if GetOption('pc_thneed'):
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"
else:
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"
# is there a better way then listing all of tinygrad?
lenv.Command(fn + ".thneed", [fn + ".onnx",
"#tinygrad_repo/openpilot/compile.py",
"#tinygrad_repo/accel/opencl/conv.cl",
"#tinygrad_repo/accel/opencl/matmul.cl",
"#tinygrad_repo/accel/opencl/ops_opencl.py",
"#tinygrad_repo/accel/opencl/preprocessing.py",
"#tinygrad_repo/extra/onnx.py",
"#tinygrad_repo/extra/utils.py",
"#tinygrad_repo/tinygrad/llops/ops_gpu.py",
"#tinygrad_repo/tinygrad/llops/ops_opencl.py",
"#tinygrad_repo/tinygrad/helpers.py",
"#tinygrad_repo/tinygrad/mlops.py",
"#tinygrad_repo/tinygrad/ops.py",
"#tinygrad_repo/tinygrad/shapetracker.py",
"#tinygrad_repo/tinygrad/tensor.py",
"#tinygrad_repo/tinygrad/nn/__init__.py"
], cmd)
llenv = lenv.Clone()
if GetOption('pc_thneed'):
pc_thneed_src = [
"thneed/thneed_common.cc",
"thneed/thneed_pc.cc",
"thneed/serialize.cc",
"runners/thneedmodel.cc",
]
llenv['CFLAGS'].append("-DUSE_THNEED")
llenv['CXXFLAGS'].append("-DUSE_THNEED")
common_model += llenv.Object(pc_thneed_src)
libs += ['dl']
llenv.Program('_modeld', [
"modeld.cc",
"models/driving.cc",
]+common_model, LIBS=libs + transformations)