fast ai trained model for inference combine of image and tabular data

Question

I am a new user fast ai library and what I did is build a combining model image and tabular data and already the model is trained. and now I want to predict single record from test data frame and the type for each is {fastai.data_block.LabelLists}, I used this method

integratedata,_=get_imagetabdatasets(test_image,tab_data)

to integrate input image and tabular data and the final shape is by calling

integratedata[0][0]

(Image (3, 128, 128), TabularLine [tensor([2]), tensor([-0.6136])])

and when I called

learn.predict(integratedata[0][0])

the error was->: ‘ImageTabDataset’ object has no attribute ‘set_item’ ,

so what should I do to infer single input or single record from data frame. I hope clear on my question.

I used this notebook as a reference

Answer 1

等待大神答复