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Add --list-devices option
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parent
29c595ddc5
commit
04702d7903
26
main.py
26
main.py
@ -110,6 +110,18 @@ def main(args, prof):
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finally:
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cuda.Context.pop()
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def list_devices():
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import pycuda.driver as cuda
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cuda.init()
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for i in range(cuda.Device.count()):
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dev = cuda.Device(i)
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attrs = dev.get_attributes()
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print 'Device %d (%s): compute %d.%d, free mem %d, PCI %s' % (
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i, dev.name(),
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attrs[cuda.device_attribute.COMPUTE_CAPABILITY_MAJOR],
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attrs[cuda.device_attribute.COMPUTE_CAPABILITY_MINOR],
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dev.total_memory(), dev.pci_bus_id())
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description='Render fractal flames.')
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@ -137,12 +149,18 @@ if __name__ == "__main__":
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help='Use half-loops when converting nodes to animations')
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parser.add_argument('--print', action='store_true',
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help="Print the blended animation and exit.")
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parser.add_argument('--list-devices', action='store_true',
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help="List devices and exit.")
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parser.add_argument('--device', metavar='NUM', type=int,
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help="GPU device number to use (from nvidia-smi).")
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help="GPU device number to use (may differ from nvidia-smi).")
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parser.add_argument('--keep', action='store_true',
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help="Keep compiled kernels to help with profiling")
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help="Keep compiled kernels to help with profiling")
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profile.add_args(parser)
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args = parser.parse_args()
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pname, prof = profile.get_from_args(args)
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main(args, prof)
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if args.list_devices:
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list_devices()
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else:
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pname, prof = profile.get_from_args(args)
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main(args, prof)
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