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0b2c431d3a
version: sunnypilot v2026.003.000 (dev)
date: 2026-09-14T15:43:39
master commit: a5f44653d7
20 lines
751 B
Python
20 lines
751 B
Python
import sys, pickle
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from tinygrad import GlobalCounters
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from tinygrad.helpers import fetch, getenv
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from examples.test_onnx_imagenet import imagenet_dataloader
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if __name__ == "__main__":
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with open(fetch(sys.argv[1]), "rb") as f:
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run_onnx_jit = pickle.load(f)
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input_name = run_onnx_jit.captured.expected_names[0]
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device = run_onnx_jit.captured.expected_input_info[0][-1]
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print(f"input goes into {input_name=} on {device=}")
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hit = 0
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for i,(img,y) in enumerate(imagenet_dataloader(cnt=getenv("CNT", 100))):
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GlobalCounters.reset()
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p = run_onnx_jit(**{input_name:img.to(device)})
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assert p.shape == (1,1000)
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t = p.to('cpu').argmax().item()
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hit += y==t
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print(f"target: {y:3d} pred: {t:3d} acc: {hit/(i+1)*100:.2f}%")
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