neural_avengers | Master-IASD | readycash | Error | 0 | 0 | 0 | 0 | 0 | 0 | RuntimeError: Error(s) in loading state_dict for Net:
Missing key(s) in state_dict: "conv3.weight", "conv3.bias", "batch_norm1.weight", "batch_norm1.bias", "batch_norm1.running_mean", "batch_norm1.running_var", "batch_norm2.weight", "batch_norm2.bias", "batch_norm2.running_mean", "batch_norm2.running_var", "batch_norm3.weight", "batch_norm3.bias", "batch_norm3.running_mean", "batch_norm3.running_var".
Unexpected key(s) in state_dict: "fc3.weight", "fc3.bias".
size mismatch for conv1.weight: copying a param with shape torch.Size([6, 3, 5, 5]) from checkpoint, the shape in current model is torch.Size([32, 3, 3, 3]).
size mismatch for conv1.bias: copying a param with shape torch.Size([6]) from checkpoint, the shape in current model is torch.Size([32]).
size mismatch for conv2.weight: copying a param with shape torch.Size([16, 6, 5, 5]) from checkpoint, the shape in current model is torch.Size([64, 32, 3, 3]).
size mismatch for conv2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([64]).
size mismatch for fc1.weight: copying a param with shape torch.Size([120, 400]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for fc1.bias: copying a param with shape torch.Size([120]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for fc2.weight: copying a param with shape torch.Size([84, 120]) from checkpoint, the shape in current model is torch.Size([10, 512]).
size mismatch for fc2.bias: copying a param with shape torch.Size([84]) from checkpoint, the shape in current model is torch.Size([10]). |