bearshng / mac-net Goto Github PK

python test

Error(s) in loading state_dict for MACNet:
        Missing key(s) in state_dict: "net.encoder.5.bn.weight", "net.encoder.5.bn.bias", "net.encoder.5.bn.running_mean", "net.encoder.5.bn.running_var", "net.encoder.5.conv.weight", "net.decoder.5.bn.weight", "net.decoder.5.bn.bias", "net.decoder.5.bn.running_mean", "net.decoder.5.bn.running_var", "net.decoder.5.upsample_conv.conv3d.weight".
        size mismatch for net.decoder.0.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
        size mismatch for net.decoder.0.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
        size mismatch for net.decoder.0.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
        size mismatch for net.decoder.0.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
        size mismatch for net.decoder.0.deconv.weight: copying a param with shape torch.Size([64, 64, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 128, 3, 3, 3]).
        size mismatch for net.decoder.1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
        size mismatch for net.decoder.1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
        size mismatch for net.decoder.1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
        size mismatch for net.decoder.1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
        size mismatch for net.decoder.1.upsample_conv.conv3d.weight: copying a param with shape torch.Size([32, 64, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 128, 3, 3, 3]).
        size mismatch for net.decoder.2.bn.weight: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]).
        size mismatch for net.decoder.2.bn.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]).
        size mismatch for net.decoder.2.bn.running_mean: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]).
        size mismatch for net.decoder.2.bn.running_var: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]).
        size mismatch for net.decoder.2.deconv.weight: copying a param with shape torch.Size([32, 32, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 64, 3, 3, 3]).
        size mismatch for net.decoder.3.bn.weight: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]).
        size mismatch for net.decoder.3.bn.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]).
        size mismatch for net.decoder.3.bn.running_mean: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]).
        size mismatch for net.decoder.3.bn.running_var: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([64]).
        size mismatch for net.decoder.3.upsample_conv.conv3d.weight: copying a param with shape torch.Size([16, 32, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 64, 3, 3, 3]).
        size mismatch for net.decoder.4.bn.weight: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).
        size mismatch for net.decoder.4.bn.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).
        size mismatch for net.decoder.4.bn.running_mean: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).
        size mismatch for net.decoder.4.bn.running_var: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).
        size mismatch for net.decoder.4.deconv.weight: copying a param with shape torch.Size([16, 16, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 32, 3, 3, 3]).
ckpt loading failed @trained_model/ckpt_15, exit ...