| import torch | |
| import torch.onnx | |
| from basicsr.archs.rrdbnet_arch import RRDBNet | |
| # An instance of your model | |
| model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32) | |
| model.load_state_dict(torch.load('experiments/pretrained_models/RealESRGAN_x4plus.pth')['params_ema']) | |
| # set the train mode to false since we will only run the forward pass. | |
| model.train(False) | |
| model.cpu().eval() | |
| # An example input you would normally provide to your model's forward() method | |
| x = torch.rand(1, 3, 64, 64) | |
| # Export the model | |
| with torch.no_grad(): | |
| torch_out = torch.onnx._export(model, x, 'realesrgan-x4.onnx', opset_version=11, export_params=True) | |