remove example1, due to https://github.com/gaogaotiantian/viztracer/issues/81
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@ -1,21 +1,35 @@
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# same as example1, but without explicit viztracer calls
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import threading
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import time
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import viztracer
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import time
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# if we don't run with gil_load, we just skip it
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import gil_load
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try:
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gil_load.init()
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gil_load.start()
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use_gil_load = True
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except RuntimeError:
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use_gil_load = False
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def run():
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def some_computation():
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total = 0
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for i in range(1_000_000):
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total += i
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return total
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with viztracer.VizTracer(output_file="example1.json"):
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thread1 = threading.Thread(target=run)
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thread2 = threading.Thread(target=run)
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thread1 = threading.Thread(target=some_computation)
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thread2 = threading.Thread(target=some_computation)
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def main(args=None):
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thread1.start()
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thread2.start()
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time.sleep(0.2)
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for thread in [thread1, thread2]:
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thread.join()
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if use_gil_load:
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gil_load.stop()
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stats = gil_load.get()
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print(gil_load.format(stats))
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if __name__ == "__main__":
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main()
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@ -1,6 +1,7 @@
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# same as example1, but without explicit viztracer calls
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# shows high gil load, but no wait
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import threading
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import time
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import numpy as np
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# if we don't run with gil_load, we just skip it
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import gil_load
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@ -11,25 +12,35 @@ try:
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except RuntimeError:
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use_gil_load = False
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def some_computation():
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N = 1024*1024*32
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M = 4
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x = np.arange(N, dtype='f8')
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def some_numpy_computation():
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total = 0
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for i in range(1_000_000):
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total += i
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for i in range(M):
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total += x.sum()
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return total
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thread1 = threading.Thread(target=some_computation)
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thread2 = threading.Thread(target=some_computation)
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thread1 = threading.Thread(target=some_numpy_computation)
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thread2 = threading.Thread(target=some_numpy_computation)
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def main(args=None):
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thread1.start()
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thread2.start()
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time.sleep(0.2)
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total = 0
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for i in range(2_000_000):
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total += i
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for thread in [thread1, thread2]:
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thread.join()
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if use_gil_load:
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gil_load.stop()
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stats = gil_load.get()
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print(gil_load.format(stats))
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if __name__ == "__main__":
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main()
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