| """ |
| This is a script for PyTorch Android custom selective build test. It prepares |
| MobileNetV2 TorchScript model, and dumps root ops used by the model for custom |
| build script to create a tailored build which only contains these used ops. |
| """ |
| |
| import torch |
| import yaml |
| from torchvision import models |
| |
| # Download and trace the model. |
| model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1) |
| model.eval() |
| example = torch.rand(1, 3, 224, 224) |
| # TODO: create script model with `torch.jit.script` |
| traced_script_module = torch.jit.trace(model, example) |
| |
| # Save traced TorchScript model. |
| traced_script_module.save("MobileNetV2.pt") |
| |
| # Dump root ops used by the model (for custom build optimization). |
| ops = torch.jit.export_opnames(traced_script_module) |
| |
| with open("MobileNetV2.yaml", "w") as output: |
| yaml.dump(ops, output) |
