blob: 879168f866b7b5b6dcb749b5de71c2cd2e5fae86 [file] [log] [blame]
import argparse
import torch
def run_model(level):
m = torch.nn.Linear(20, 30)
input = torch.randn(128, 20)
with torch.backends.mkl.verbose(level):
m(input)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("--verbose-level", default=0, type=int)
args = parser.parse_args()
try:
run_model(args.verbose_level)
except Exception as e:
print(e)