Files
StarPilot/tinygrad_repo/examples/benchmark_onnx.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

36 lines
1.1 KiB
Python

import sys, time
from tinygrad import TinyJit, GlobalCounters, fetch, getenv
from tinygrad.nn.onnx import OnnxRunner
from extra.onnx_helpers import get_example_inputs, validate
def load_onnx_model(onnx_file):
run_onnx = OnnxRunner(onnx_file)
run_onnx_jit = TinyJit(lambda **kwargs: next(iter(run_onnx({k:v.to(None) for k,v in kwargs.items()}).values())), prune=True)
return run_onnx_jit, run_onnx.graph_inputs
if __name__ == "__main__":
onnx_file = fetch(sys.argv[1])
run_onnx_jit, input_specs = load_onnx_model(onnx_file)
print("loaded model")
for i in range(3):
new_inputs = get_example_inputs(input_specs)
GlobalCounters.reset()
print(f"run {i}")
run_onnx_jit(**new_inputs)
# run 20 times
for _ in range(20):
new_inputs = get_example_inputs(input_specs)
GlobalCounters.reset()
st = time.perf_counter()
out = run_onnx_jit(**new_inputs)
mt = time.perf_counter()
val = out.numpy()
et = time.perf_counter()
print(f"enqueue {(mt-st)*1e3:6.2f} ms -- total run {(et-st)*1e3:6.2f} ms")
if getenv("ORT"):
validate(onnx_file, new_inputs, rtol=1e-3, atol=1e-3)
print("model validated")