mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-01-10 07:28:15 -05:00
5a4a62ecae
* Revert "Revert "openpilot kernel fix from 209 to 207 (#2006)" (#2065)"
This reverts commit 924ecc4d6a.
* gate behind OPT >= 4
* disable_logging in schedule
* simple
* from master
* more images
* revert that
* 206 kernels
80 lines
3.0 KiB
Python
80 lines
3.0 KiB
Python
import os
|
|
if "FLOAT16" not in os.environ: os.environ["FLOAT16"] = "1"
|
|
if "IMAGE" not in os.environ: os.environ["IMAGE"] = "2"
|
|
if "NOLOCALS" not in os.environ: os.environ["NOLOCALS"] = "1"
|
|
if "OPT" not in os.environ: os.environ["OPT"] = "99"
|
|
os.environ["PREREALIZE"] = "0"
|
|
|
|
OPENPILOT_MODEL = "https://github.com/commaai/openpilot/raw/v0.9.4/selfdrive/modeld/models/supercombo.onnx"
|
|
|
|
import sys
|
|
import onnx
|
|
import io
|
|
from typing import Tuple, List
|
|
from extra.utils import fetch
|
|
from extra.onnx import get_run_onnx
|
|
from tinygrad.graph import print_tree
|
|
from tinygrad.tensor import Tensor
|
|
from tinygrad.helpers import dtypes, partition, GlobalCounters, Context, DEBUG, getenv, ImageDType
|
|
from tinygrad.realize import run_schedule
|
|
from tinygrad.ops import LoadOps, Device, ScheduleItem
|
|
from tinygrad.features.image import fix_schedule_for_images
|
|
Device.DEFAULT = "GPU"
|
|
|
|
def get_schedule(fn:str) -> Tuple[List[ScheduleItem], List[ScheduleItem]]:
|
|
Tensor.no_grad = True
|
|
Tensor.training = False
|
|
|
|
# load the model
|
|
dat = fetch(fn)
|
|
onnx_model = onnx.load(io.BytesIO(dat))
|
|
run_onnx = get_run_onnx(onnx_model)
|
|
input_shapes = {inp.name:tuple(x.dim_value for x in inp.type.tensor_type.shape.dim) for inp in onnx_model.graph.input}
|
|
|
|
# run the model
|
|
inputs = {k:Tensor.empty(*shp) for k,shp in input_shapes.items()}
|
|
ret: Tensor = next(iter(run_onnx(inputs).values())).cast(dtypes.float32).contiguous()
|
|
schedule = ret.lazydata.schedule()
|
|
|
|
# filter schedule that don't depend on the inputs
|
|
input_lb = [x.lazydata.base for x in inputs.values()]
|
|
depends = set(input_lb)
|
|
for si in schedule:
|
|
if any(b in depends for b in si.inputs):
|
|
depends.add(si.out)
|
|
|
|
# run all kernels that don't depend on the inputs
|
|
# NOTE: there's two extra kernels due to fusions that now happen since the weights aren't realized
|
|
schedule, schedule_independent = partition(schedule, lambda si: si.out in depends)
|
|
print(f"{len(schedule)} schedule items depend on the input, {len(schedule_independent)} don't")
|
|
|
|
# confirm no loadops in the (non independent) schedule except for the ones that load the input buffers
|
|
assert all(si.ast.op not in LoadOps or si.out in input_lb for si in schedule), "has loadops, can't compile to Thneed"
|
|
return schedule, schedule_independent
|
|
|
|
def lb_to_numbers(schedule):
|
|
nschedule = []
|
|
nlb = {}
|
|
for op,out,buffers in schedule:
|
|
for lb in (out,)+buffers:
|
|
if lb not in nlb:
|
|
nlb[lb] = len(nlb)
|
|
nschedule.append((op, nlb[out], tuple(nlb[x] for x in buffers)))
|
|
return nschedule
|
|
|
|
if __name__ == "__main__":
|
|
schedule, schedule_independent = get_schedule(sys.argv[1] if len(sys.argv) > 1 else OPENPILOT_MODEL)
|
|
run_schedule(schedule_independent, disable_logging=True)
|
|
schedule = fix_schedule_for_images(schedule)
|
|
|
|
image_count = 0
|
|
for si in schedule:
|
|
if isinstance(si.out.dtype, ImageDType):
|
|
image_count += 1
|
|
|
|
print(f"**** running real kernels {image_count}/{len(schedule)} images ****")
|
|
with Context(DEBUG=2, BEAM=getenv("LATEBEAM")):
|
|
GlobalCounters.reset()
|
|
run_schedule(schedule)
|
|
|