
Here's what I did to export the `pth` to `onnx` (if only for my own future reference):
1. Open the [Colab notebook](https://colab.research.google.com/gist/JingyunLiang/a5e3e54bc9ef8d7bf594f6fee8208533/swinir-demo-on-real-world-image-sr.ipynb#scrollTo=WsqCgH0iqMec) and click Runtime > Run All.
2. Open up and `main_test_swinir.py` in the Colab editor and placing the following line after `output = model(img_lq)`:
```
torch.onnx.export(model, img_lq, "003_realSR_BSRGAN_DFO_s64w8_SwinIR-M_x4_GAN-dynamic.onnx", export_params=True, opset_version=12, do_constant_folding=True, verbose=True, input_names = ['input'], output_names = ['output'], dynamic_axes={'input' : {2 : 'h', 3 : 'w'}, 'output' : {2 : 'h', 3 : 'w'}})
```
3. Run this:
```
!python SwinIR/main_test_swinir.py --task real_sr --model_path experiments/pretrained_models/003_realSR_BSRGAN_DFO_s64w8_SwinIR-M_x4_GAN.pth --folder_lq BSRGAN/testsets/RealSRSet --scale 4
```
And the ONNX file that you see in this repo will be generated.
{"license": "apache-2.0"}
onnx license:apache-2.0 region:us
TAGS
#onnx #license-apache-2.0 #region-us 


Here's what I did to export the 'pth' to 'onnx' (if only for my own future reference):
1. Open the Colab notebook and click Runtime > Run All.
2. Open up and 'main_test_swinir.py' in the Colab editor and placing the following line after 'output = model(img_lq)':

3. Run this:

And the ONNX file that you see in this repo will be generated.
TAGS
#onnx #license-apache-2.0 #region-us 

passage: TAGS
#onnx #license-apache-2.0 #region-us 
