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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.
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
#!/usr/bin/env python3
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from tinygrad import Tensor, Device, GlobalCounters, Context, dtypes
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from tinygrad.helpers import getenv, colored
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SZ = 8_000_000_000
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GPUS = getenv("GPUS", 4) # TODO: expose a way in tinygrad to access this
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if __name__ == "__main__":
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# create tensors
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tens = [Tensor.ones(SZ, dtype=dtypes.uint8, device=f"{Device.DEFAULT}:{i}").contiguous() for i in range(GPUS)]
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Tensor.realize(*tens)
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bw = [[0.0]*GPUS for _ in range(GPUS)]
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for i in range(GPUS):
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for j in range(GPUS):
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GlobalCounters.reset()
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with Context(DEBUG=2):
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if i == j:
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# this copy would be optimized out, just add 1
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(tens[i]+1).realize()
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else:
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tens[i].to(f"{Device.DEFAULT}:{j}").realize()
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t = max(GlobalCounters.time_sum_s, 1e-9)
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bw[i][j] = SZ / t / 1e9 # GB/s
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def fmt(x):
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c = "green" if x > 50 else "yellow" if x > 20 else "red"
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return colored(f"{x:6.1f}", c)
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# header
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print(" " * 8 + " ".join(f"{'d'+str(j):>6}" for j in range(GPUS)))
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# rows
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for i in range(GPUS):
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print(f"{'s'+str(i):>6} -> " + " ".join(fmt(x) for x in bw[i]))
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