github-actions[bot]
f8e13417f2
date: 2026-08-15T14:20:10 master commit: d48cfa730bf21593b684efeaf3fd8940695e1dea
24 lines
1010 B
Python
24 lines
1010 B
Python
#!/usr/bin/env python3
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"""Standalone repro/regression for issue #16335."""
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import subprocess
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from pathlib import Path
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from tinygrad import Tensor, Context
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from tinygrad.nn.onnx import OnnxRunner
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VISION_ONNX = Path("/tmp/deep_vision.onnx")
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URL = "https://raw.githubusercontent.com/haraschax/filedump/master/deep_vision.onnx"
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def main():
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if not VISION_ONNX.is_file():
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subprocess.run(["curl", "-L", "--fail", "--silent", "--output", str(VISION_ONNX), URL], check=True)
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with Context(IMAGE=1, FLOAT16=1):
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runner = OnnxRunner(str(VISION_ONNX))
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img = Tensor.zeros(1, 12, 128, 256, dtype="uint8").contiguous().realize()
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big_img = Tensor.zeros(1, 12, 128, 256, dtype="uint8").contiguous().realize()
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out = next(iter(runner({"img": img, "big_img": big_img}).values())).cast("float32")
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out.realize() # END(STORE) assertion fires here during scheduling, before any kernel executes
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print("PASS: scheduled #16335 model without the END(STORE) assertion")
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if __name__ == "__main__":
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main()
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