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StarPilot/tinygrad_repo/test/external/external_benchmark_schedule.py
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firestar5683 22a8575199 Vendor dependencies and resources for standalone builds
Keep official openpilot ancestry and dependency licenses. Store resources directly in Git, remove LFS setup requirements, and leave the downloadable big model outside the source tree.
2026-10-03 21:01:18 +00:00

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1.7 KiB
Python

from extra.models.resnet import ResNet50
from tinygrad import Tensor, nn, Device
from tinygrad.helpers import Profiling, Timing, getenv
from tinygrad.uop.ops import Ops
from tinygrad.codegen import full_rewrite_to_sink
from tinygrad.codegen.late.linearizer import linearize
from tinygrad.uop.spec import type_verify, spec_program
if __name__ == "__main__":
mdl = ResNet50()
for p in nn.state.get_parameters(mdl): p.replace(Tensor.empty(p.shape))
img = Tensor.empty(64, 3, 224, 224)
PROFILE = getenv("PYPROFILE", 0)
FORWARD_ONLY = getenv("FORWARD_ONLY", 0)
SCHEDULE_ONLY = getenv("SCHEDULE_ONLY", 0)
LINEARIZE = bool(getenv("LINEARIZE", 1))
with Timing("all "):
with Timing("***** model tensor in "):
out = mdl(img)
if not FORWARD_ONLY:
with Timing("***** model schedule in "):
with Profiling(PROFILE >= 3):
linear = out.schedule_linear()
if not SCHEDULE_ONLY:
asts = list({call.src[0].key:call.src[0] for call in linear.src if call.src[0].op is Ops.SINK}.values())
if (restrict_kernel := getenv("RESTRICT_KERNEL", -1)) != -1: asts = asts[restrict_kernel:restrict_kernel+1]
with Profiling(PROFILE, fn="/tmp/rewrite.prof"):
with Timing("***** model rewrite in "):
rewritten_uops = []
for u in asts:
rewritten_uops.append(full_rewrite_to_sink(u, ren=Device.default.renderer))
if LINEARIZE:
with Timing("***** model linearize in "):
uops_line = []
for u in rewritten_uops:
uops_line.append(linearize(u))
with Timing("***** model verify in "):
for u in uops_line: type_verify(u, spec_program)
print(sum(len(u) for u in uops_line))