RuntimeError: Error(s) in loading state_dict for EfficientDetBackbone:
size mismatch for classifier.header.pointwise_conv.conv.weight: copying a param with shape torch.Size([396, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([810, 64, 1, 1]).
size mismatch for classifier.header.pointwise_conv.conv.bias: copying a param with shape torch.Size([396]) from checkpoint, the shape in current model is torch.Size([810]).
为什么会出现上面的维度不匹配的问题
RuntimeError: Error(s) in loading state_dict for EfficientDetBackbone: size mismatch for classifier.header.pointwise_conv.conv.weight: copying a param with shape torch.Size([396, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([810, 64, 1, 1]). size mismatch for classifier.header.pointwise_conv.conv.bias: copying a param with shape torch.Size([396]) from checkpoint, the shape in current model is torch.Size([810]). 为什么会出现上面的维度不匹配的问题