‘_PrefetchDataset’ object has no attribute ‘shape’ when calling resnet_v2.preprocess_input()
trainingdata = keras.utils.image_dataset_from_directory( directory=’archive/chest_xray/train/’, labels=’inferred’, label_mode=’int’, batch_size=32, image_size=(512,512) ) validationdata = keras.utils.image_dataset_from_directory( directory=’archive/chest_xray/test/’, labels=’inferred’, label_mode=’int’, batch_size=32, image_size=(512,512) ) td = keras.applications.resnet_v2.preprocess_input(trainingdata) vd = keras.applications.resnet_v2.preprocess_input(validationdata) input = keras.Input(shape=(512, 512, 3)) Traceback (most recent call last): File “C:UsersYouDocumentskeras modelsPNEUMONIA.PY”, line 25, in <module> td = keras.applications.resnet_v2.preprocess_input(trainingdata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File “C:UsersYouDocumentskeras models.venvLibsite-packageskerassrcapplicationsresnet_v2.py”, line 134, in preprocess_input return imagenet_utils.preprocess_input( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ […]