About the missing parameter 'loader' in Guided Upsampling when inference is done

[ScarletBlaze]

Thank you for sharing. We would like to use your model as a baseline for comparison. However, there is currently a little problem based on the inference code you provided, as shown in the below, how can I solve this situation?

[18130282610]

Hi! I found that we have a same problem. So can we communicate together? I really look forward for you reply .My email is 2639013159@qq.com

[18130282610]

Thank you for sharing. We would like to use your model as a baseline for comparison. However, there is currently a little problem based on the inference code you provided, as shown in the below, how can I solve this situation?

I remember that I have deal with this problem. You can code as below. "self._dict = yaml.load(self._yaml,Loader=yaml.FullLoader)" Apart from this question,I have another.So can we communicate ? I am sorry that my English is poor.Look forward for you relpy. My email is 2639013159@qq.com