import torchvision trian_set = torchvision.datasets.CIFAR10(root="./mydata", train= True, download= True) test_set = torchvision.datasets.CIFAR10(root="./mydata", train= False, download= True) In the same virtual environment, I can execute the above code correctly with .py, but Jupyter Notebook reports an error. How can I solve this? ImportError: DLL load failed while importing _imaging: 操作系统无法运行 %1。 pillow version already matched pytorch version import os import sys # 添加 Python DLL 和 site-packages 目录(Pillow 的 _imaging.pyd 依赖 DLL) python_path = sys.exec_prefix os.environ["PATH"] = ( python_path + r"\Library\bin;" + python_path + r"\Library\lib;" + python_path + r"\Lib\site-packages\PIL;" + os.environ["PATH"] ) # 再导入 Pillow from PIL import Image print("Pillow version:", Image.__version__) sometimes I can fix the problem by import OS, but it does not work all the time. ImportError: DLL load failed while importing _imaging: 操作系统无法运行 %1。How can I solve the problem completely? Continue reading...