after python run/pose2d/valid.py --cfg experiments-local/mixed/resnet50/256_fusion.yaml
size mismatch for aggre_layer.aggre.0.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.1.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.2.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.3.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.4.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.5.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.6.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.7.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.8.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.9.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.10.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.11.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
after python run/pose2d/valid.py --cfg experiments-local/mixed/resnet50/256_fusion.yaml
size mismatch for aggre_layer.aggre.0.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.1.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.2.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.3.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.4.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.5.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.6.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.7.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.8.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.9.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.10.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]). size mismatch for aggre_layer.aggre.11.weight: copying a param with shape torch.Size([6400, 6400]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).
how can i solve it ? thank you.