32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
import random
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from tinygrad import Device
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from tinygrad.helpers import getenv, DEBUG
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def main():
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seed = getenv("SEED", 1337)
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n_gpus = getenv("GPUS", 3)
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iters = getenv("ITERS", 10000000)
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only_compute = bool(getenv("ONLY_COMPUTE", 0))
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print(f"{n_gpus} GPUs for {iters} iterations, {only_compute=}, seed {seed}")
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devs = tuple([Device[f"{Device.DEFAULT}:{x}"] for x in range(n_gpus)])
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for i in range(iters):
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dev = random.choice(devs)
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q_t = random.choice([dev.hw_copy_queue_t, dev.hw_compute_queue_t] if not only_compute else [dev.hw_compute_queue_t])
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deps_sigs = random.randint(0, len(devs))
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wait_devs = random.sample(devs, deps_sigs)
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q = q_t()
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for d in wait_devs: q.wait(d.timeline_signal, d.timeline_value - 1)
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q.wait(dev.timeline_signal, dev.timeline_value - 1).signal(dev.timeline_signal, dev.timeline_value).submit(dev)
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dev.timeline_value += 1
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if sync:=random.randint(0, 10) < 3: dev.synchronize()
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if DEBUG >= 2: print(f"{i}: {q_t} {dev.device_id} timeline {dev.timeline_value}, wait for {[d.device_id for d in wait_devs]}, {sync=}")
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elif i % 100 == 0: print(f"\rCompleted {i} iterations", end='')
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if __name__ == "__main__":
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main()
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