计算模型参数量报错

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Unexpected key(s) in state_dict: "extractor.7.weight", "extractor.7.bias", "extractor.10.weight", "extractor.10.bias", "extractor.12.weight", "extractor.12.bias", "extractor.14.weight", "extractor.14.bias", "extractor.17.weight", "extractor.17.bias", "extractor.19.weight", "extractor.19.bias", "extractor.21.weight", "extractor.21.bias", "extractor.24.weight", "extractor.24.bias", "extractor.26.weight", "extractor.26.bias", "extractor.28.weight", "extractor.28.bias", "extractor.0.bias", "extractor.2.weight", "extractor.2.bias", "extractor.5.weight", "extractor.5.bias", "head.classifier.2.weight", "head.classifier.2.bias", "head.classifier.0.weight", "head.classifier.0.bias". 
size mismatch for extractor.0.weight: copying a param with shape torch.Size([64, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 3, 7, 7]).
size mismatch for rpn.conv1.weight: copying a param with shape torch.Size([512, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 1024, 3, 3]).
size mismatch for head.cls_loc.weight: copying a param with shape torch.Size([84, 4096]) from checkpoint, the shape in current model is torch.Size([84, 2048]).
size mismatch for head.score.weight: copying a param with shape torch.Size([21, 4096]) from checkpoint, the shape in current model is torch.Size([21, 2048]).