Do I need to give the label in the forward()

I use mxnet on insightface to extract features.

The output of the model is a feature, but insightface sets the label for forward().

db =,), label=(_label,))
model.forward(db, is_train=False)

and did not enter a label when loading the model.

model.bind(data_shapes=[(‘data’, (args.batch_size, 3, image_size[0], image_size[1]))])

I don’t think you should enter a label in the feature extraction to avoid errors.