"AttributeError: 'ReLU' object has no attribute 'threshold' "

Hi, All.

I have met this error when run pytorch inference in Jetson nano.

"AttributeError: ‘ReLU’ object has no attribute ‘threshold’ ".

What wrong to me?

Jetson nano, Ubuntu 18.04LTS aarch64, Pytorch 1.1.0, Torchvision 0.3.0

Thanks.
@bemoregt.

Could you post the code snippet which raises this error?

Have you solved it?I also ran into it when I called the model

I ran into the issue when I am running the following code using the export.pkl model I had saved in my directory:

import fastai
from fastai.vision import *

def main():

    classes = ['Potato___Late_blight',
               'Cherry_(including_sour)___healthy',
               'Apple___Black_rot',
               'Apple___Apple_scab',
               'Cherry_(including_sour)___Powdery_mildew',
               'Potato___healthy',
               'Apple___Cedar_apple_rust',
               'Potato___Early_blight',
               'Apple___healthy']

    #load predictor
    predictor = load_learner('.')
    img = open_image('apple_black_rot1.jpg')
    pred,pred_idx,probs = predictor.predict(img)

    print(classes[pred_idx])

if __name__=="__main__":
    main()

The same error pops up along with various warnings. Is there any fix to this yet?