This code is in Keras, how to do the same in Pytorch?
# explain how the input to the 7th layer of the model explains the top two classes
def map2layer(x, layer):
    feed_dict = dict(zip([model.layers[0].input], [preprocess_input(x.copy())]))
    return K.get_session().run(model.layers[layer].input, feed_dict) Use words with all capital letters to highlight key points, but make sure that words with all capital letters appear less than 15 times
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