diff --git "a/code/2021_spring/\345\234\272\346\231\257\350\257\206\345\210\253/\351\273\204\347\216\256\347\220\2522019302110409/convert_python36.py" "b/code/2021_spring/\345\234\272\346\231\257\350\257\206\345\210\253/\351\273\204\347\216\256\347\220\2522019302110409/convert_python36.py"
new file mode 100644
index 0000000000000000000000000000000000000000..f2b926c9b5e5eacb734d5a3456ade059a569cb77
--- /dev/null
+++ "b/code/2021_spring/\345\234\272\346\231\257\350\257\206\345\210\253/\351\273\204\347\216\256\347\220\2522019302110409/convert_python36.py"
@@ -0,0 +1,20 @@
+import torch
+from torch.autograd import Variable as V
+import torchvision.models as models
+from torchvision import transforms as trn
+from torch.nn import functional as F
+
+
+archs = ['resnet50','densenet161','alexnet']
+for arch in archs:
+    model_file = 'whole_%s_places365.pth.tar' % arch
+    save_file = 'whole_%s_places365_python36.pth.tar' % arch
+
+    from functools import partial
+    import pickle
+    pickle.load = partial(pickle.load, encoding="latin1")
+    pickle.Unpickler = partial(pickle.Unpickler, encoding="latin1")
+    model = torch.load(model_file, map_location=lambda storage, loc: storage, pickle_module=pickle)
+    torch.save(model, save_file)
+    print('converting %s -> %s'%(model_file, save_file))
+