'DPN' object has no attribute 'input_space' Cifar10 example

When setting the pre_trained_model to False, running ‘dpns’ gave the error ‘DPN’ object has no attribute ‘input_space’ in Cifar10 example. Except Resntes, all models gave this error. Using the attribute input_size=(32, 32) in make_model resolved the issue. [32x32] is the cifar10 resolution for each band.

model = make_model(
    args.model_name,
    pretrained=True,
    num_classes=len(classes),
    dropout_p=args.dropout_p,
    input_size=(32, 32) 
)

However, this ‘input_size’ gave the error: ResNet’ object has no attribute ‘features’ for all the Resnets. Thus, an if statement may be used to make-the-model. NB. For VGG* and squeezenet*, we need to provide the input-size in any case, Exception: You must provide input_size, e.g. make_model(vgg11, num_classes=10, pretrained=True, input_size=(224, 224)

[creafz]

The second exception should be fixed in e7dc01f. I have changed the function that calculates the number of input features for the classifier, now it should work correctly for all models.

[morawi]

Strangely, it is working now without problems.