mirror of
https://github.com/firestar5683/StarPilot.git
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firestar5683
22a8575199
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.
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
import subprocess, sys, os, random
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CHILD_SCRIPT = """
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import os, random
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import numpy as np
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from tinygrad import Tensor, Device
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from tinygrad.runtime.ops_amd import AMDDevice
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dev = Device["AMD"]
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for i in range({N}):
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sz = random.randint(1, {MAX_SZ})
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data = np.random.randint(0, 256, sz, dtype=np.uint8)
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t = Tensor(data, device="AMD").contiguous().realize()
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dev.synchronize()
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result = t.numpy()
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assert (result == data).all(), f"Data mismatch at iter {{i}}"
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""".strip()
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def run_child(n_ops, max_sz, timeout):
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env = os.environ.copy()
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env.setdefault("SDMA_RING_SIZE", "4096")
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script = CHILD_SCRIPT.format(N=n_ops, MAX_SZ=max_sz)
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p = subprocess.Popen([sys.executable, "-c", script], stdout=subprocess.PIPE, stderr=subprocess.PIPE, env=env)
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try:
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_, stderr = p.communicate(timeout=timeout)
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return ("ok" if p.returncode == 0 else "fail"), stderr.decode(errors='replace')
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except subprocess.TimeoutExpired:
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p.kill()
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p.communicate()
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return "timeout", "TIMEOUT: SDMA ring likely stuck"
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if __name__ == "__main__":
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n_iters = int(os.environ.get("FUZZ_ITERS", "10000"))
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timeout = int(os.environ.get("FUZZ_TIMEOUT", "10"))
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max_sz = int(os.environ.get("FUZZ_MAX_SZ", "65536"))
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timeouts = 0
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failures = 0
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for i in range(n_iters):
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# Run child with many ops to stress the small sdma ring buffer across warm starts
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n_ops = random.randint(20, 100)
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status, stderr = run_child(n_ops=n_ops, max_sz=max_sz, timeout=timeout)
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if status == "timeout":
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timeouts += 1
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print(f"\tstderr: {stderr[:500]}")
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elif status == "fail":
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failures += 1
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print(f"\tstderr: {stderr[:500]}")
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else:
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print(f"iter {i}: ok (n_ops={n_ops})")
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print(f"\n=== Results: {n_iters} iterations, {timeouts} timeouts, {failures} failures ===")
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