| import torch | |
| import torch.nn as nn | |
| import torch.onnx | |
| # Define a simple model | |
| class SimpleModel(nn.Module): | |
| def __init__(self): | |
| super(SimpleModel, self).__init__() | |
| self.fc = nn.Linear(10, 1) | |
| def forward(self, x): | |
| return self.fc(x) | |
| # Instantiate and export the model | |
| model = SimpleModel() | |
| dummy_input = torch.randn(1, 10) | |
| onnx_path = "../model.onnx" | |
| torch.onnx.export(model, dummy_input, onnx_path, input_names=['input'], output_names=['output']) |