| import argparse |
| |
| import torch |
| |
| |
| class Module(torch.nn.Module): |
| def __init__(self) -> None: |
| super().__init__() |
| self.conv = torch.nn.Conv2d(1, 10, 5, 1) |
| |
| def forward(self, x): |
| y = self.conv(x) |
| return y |
| |
| |
| def run_model(level): |
| m = Module().eval() |
| d = torch.rand(1, 1, 112, 112) |
| with torch.backends.mkldnn.verbose(level): |
| m(d) |
| |
| |
| 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) |