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修改
Caffe/caffe.proto
文件并生成新的caffe_pb2.py
,修复pooling层转化后,caffe无法读取ceil_mode参数问题添加avgpool层return_indices参数以修复AvgPool2d在正向传递时参数个数不足的错误
修改
example/resnet_pytorch_2_caffe.py
,使用model/resnet.py
中的模型而不是torchvision中的resnet模型,将model/resnet.py中ResNet类使用的AvgPool2d替换为AdaptiveAvgPool2d,flatten算子替换为view