依赖包报错

Traceback (most recent call last):
File "E:/王庆洲毕设/PyTorch_Tutorial-master/Code/main_training/main.py", line 38, in
writer = SummaryWriter(log_dir=log_dir)
File "D:\MiniConda3\envs\PyTorch_Tutorial-master\lib\site-packages\tensorboardX\writer.py", line 292, in init
from caffe2.python import workspace # workaround for pytorch/issue#10249
File "D:\MiniConda3\envs\PyTorch_Tutorial-master\lib\site-packages\caffe2\python_init_.py", line 2, in
from caffe2.proto import caffe2_pb2
File "D:\MiniConda3\envs\PyTorch_Tutorial-master\lib\site-packages\caffe2\proto_init_.py", line 11, in
from caffe2.proto import caffe2_pb2, metanet_pb2, torch_pb2
File "D:\MiniConda3\envs\PyTorch_Tutorial-master\lib\site-packages\caffe2\proto\caffe2_pb2.py", line 22, in
create_key=_descriptor._internal_create_key,
AttributeError: module 'google.protobuf.descriptor' has no attribute '_internal_create_key'

Start at Code/main_training/main.py line 38, where SummaryWriter is created, and trace the tensorboardX, caffe2, and google.protobuf imports shown in the traceback. Reproduce the failure in the reported environment and inspect the installed dependency versions. Done means the training entry point initializes SummaryWriter without the descriptor AttributeError.