| """ | |
| 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 torchvision | |
| import yaml | |
| # Download and trace the model. | |
| model = torchvision.models.mobilenet_v2(pretrained=True) | |
| 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) |