Pytoch counts the number of the same elements in the tensor

import torch

class_dic={0:"Benign",1:"In Situ",2:"Invasive",3:"Normal"}
results={"Benign":0,"In Situ":0,"Invasive":0,"Normal":0}
c=torch.tensor([1, 1, 1, 1, 3, 2, 1, 1, 3, 3, 1, 2])
print(c)
#tensor Turn first numpy Re turn list
cc=c.numpy().tolist()
dict = {}
for key in cc:
    dict[key] = dict.get(key, 0) + 1
# Get the dictionary dict={1: 7, 3: 3, 2: 2}
results[class_dic[max(dict,key=dict.get)]] = results.get(class_dic[max(dict,key=dict.get)], 0) + 1
# What kind of calculation does it belong to  results={'Benign': 0, 'In Situ': 1, 'Invasive': 0, 'Normal': 0}
print(dict)
print(results)