sunnypilot/selfdrive/modeld/SConscript

import glob
import json
import os
from SCons.Script import Value
from openpilot.common.file_chunker import chunk_file, get_chunk_paths
from openpilot.common.transformations.camera import _ar_ox_fisheye, _os_fisheye
from openpilot.common.transformations.model import MEDMODEL_INPUT_SIZE, DM_INPUT_SIZE
from openpilot.selfdrive.modeld.constants import ModelConstants
from tinygrad import Device
from openpilot.system.hardware import HARDWARE, PC

Import('env', 'arch', 'release')


def get_camera_configs():
  DEVICE_RESOLUTIONS = {
    "tici": (_ar_ox_fisheye.width, _ar_ox_fisheye.height),
    "tizi": (_ar_ox_fisheye.width, _ar_ox_fisheye.height),
    "mici": (_os_fisheye.width, _os_fisheye.height),
  }
  if release or PC or 'CI' in os.environ:
    return set(DEVICE_RESOLUTIONS.values())
  return [DEVICE_RESOLUTIONS[HARDWARE.get_device_type()]]

CAMERA_CONFIGS = get_camera_configs()

chunker_file = File("#common/file_chunker.py")
lenv = env.Clone()

tinygrad_root = env.Dir("#").abspath
tinygrad_files = ["#"+x for x in glob.glob(env.Dir("#tinygrad_repo").relpath + "/**", recursive=True, root_dir=tinygrad_root)
                  if 'pycache' not in x and os.path.isfile(os.path.join(tinygrad_root, x))]

def estimate_pickle_max_size(onnx_size):
  return 1.2 * onnx_size  + 10 * 1024 * 1024  # 20% + 10MB is plenty

# get fastest TG config
available = set(Device.get_available_devices())
if 'CUDA' in available:
  tg_backend = 'CUDA'
  tg_flags = f'DEV={tg_backend}'
elif 'QCOM' in available:
  tg_backend = 'QCOM'
  tg_flags = f'DEV={tg_backend} IMAGE=1 FLOAT16=1 NOLOCALS=1 JIT_BATCH_SIZE=0 OPENPILOT_HACKS=1'
else:
  tg_backend = 'CPU' if arch == 'Darwin' else 'CPU:LLVM'
  tg_flags = f'DEV={tg_backend}'

def write_tg_compiled_flags(target, source, env):
  with open(str(target[0]), "w") as f:
    json.dump({"DEV": tg_backend}, f)
    f.write("\n")

compiled_flags_node = lenv.Command(
  File("models/tg_compiled_flags.json").abspath,
  tinygrad_files + [Value(tg_backend)],
  write_tg_compiled_flags,
)

# tinygrad calls brew which needs a $HOME in the env
mac_brew_string = f'HOME={os.path.expanduser("~")}' if arch == 'Darwin' else ''

# Get model metadata
for model_name in ['driving_vision', 'driving_policy', 'dmonitoring_model']:
  fn = File(f"models/{model_name}").abspath
  script_files = [File(Dir("#selfdrive/modeld").File("get_model_metadata.py").abspath)]
  cmd = f'{tg_flags} {mac_brew_string} python3 {Dir("#selfdrive/modeld").abspath}/get_model_metadata.py {fn}.onnx'
  lenv.Command(fn + "_metadata.pkl", [fn + ".onnx"] + tinygrad_files + script_files + [compiled_flags_node], cmd)

modeld_dir = Dir("#selfdrive/modeld").abspath
compile_modeld_script = [File(f"{modeld_dir}/compile_modeld.py")]
compile_dm_warp_script = [File(f"{modeld_dir}/compile_dm_warp.py")]
driving_onnx_deps = [File(f"models/{m}.onnx").abspath for m in ['driving_vision', 'driving_policy']]
driving_metadata_deps = [File(f"models/{m}_metadata.pkl").abspath for m in ['driving_vision', 'driving_policy']]

model_w, model_h = MEDMODEL_INPUT_SIZE
frame_skip = ModelConstants.MODEL_RUN_FREQ // ModelConstants.MODEL_CONTEXT_FREQ
pkl_path = File("models/driving_tinygrad.pkl").abspath
camera_res_args = ' '.join(f'{cw}x{ch}' for cw, ch in CAMERA_CONFIGS)
cmd = (f'{tg_flags} {mac_brew_string} python3 {modeld_dir}/compile_modeld.py '
       f'--model-size {model_w}x{model_h} '
       f'--camera-resolutions {camera_res_args} '
       f'--vision-onnx {File("models/driving_vision.onnx").abspath} '
       f'--policy-onnx {File("models/driving_policy.onnx").abspath} '
       f'--output {pkl_path} --frame-skip {frame_skip}')
node = lenv.Command(pkl_path, tinygrad_files + compile_modeld_script + driving_onnx_deps + driving_metadata_deps + [Value(camera_res_args), chunker_file, compiled_flags_node], cmd)
onnx_sizes_sum = sum(os.path.getsize(f) for f in driving_onnx_deps)
chunk_targets = get_chunk_paths(pkl_path, estimate_pickle_max_size(onnx_sizes_sum)*2) # TODO make weight dedupe work on QCOM
def do_chunk(target, source, env, pkl=pkl_path, chunks=chunk_targets):
  chunk_file(pkl, chunks)
lenv.Command(chunk_targets, node, do_chunk)

dm_w, dm_h = DM_INPUT_SIZE
for cam_w, cam_h in CAMERA_CONFIGS:
  dm_pkl_path = File(f"models/dm_warp_{cam_w}x{cam_h}_tinygrad.pkl").abspath
  cmd = (f'{tg_flags} {mac_brew_string} python3 {modeld_dir}/compile_dm_warp.py '
         f'--camera-resolution {cam_w}x{cam_h} --warp-to {dm_w}x{dm_h} '
         f'--output {dm_pkl_path}')
  lenv.Command(dm_pkl_path, tinygrad_files + compile_dm_warp_script + compile_modeld_script + [compiled_flags_node], cmd)

def tg_compile(flags, model_name):
  pythonpath_string = 'PYTHONPATH="${PYTHONPATH}:' + env.Dir("#tinygrad_repo").abspath + '"'
  fn = File(f"models/{model_name}").abspath
  pkl = fn + "_tinygrad.pkl"
  onnx_path = fn + ".onnx"
  chunk_targets = get_chunk_paths(pkl, estimate_pickle_max_size(os.path.getsize(onnx_path)))
  compile_node = lenv.Command(
    pkl,
    [onnx_path] + tinygrad_files + [chunker_file, compiled_flags_node],
    f'{pythonpath_string} {flags} python3 {Dir("#tinygrad_repo").abspath}/examples/openpilot/compile3.py {fn}.onnx {pkl}',
  )
  def do_chunk(target, source, env):
    chunk_file(pkl, chunk_targets)
  return lenv.Command(
    chunk_targets,
    compile_node,
    do_chunk,
  )

tg_compile(tg_flags, 'dmonitoring_model')