raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for DataParallel:
Missing key(s) in state_dict: "module.attentions.0.conv1.weight", "module.attentions.0.conv1.bias", "module.attentions.0.conv2.weight", "module.attentions.1.conv1.weight", "module.attentions.1.conv1.bias", "module.attentions.1.conv2.weight"
, "module.attentions.2.conv1.weight", "module.attentions.2.conv1.bias", "module.attentions.2.conv2.weight", "module.attentions.3.conv1.weight", "module.attentions.3.conv1.bias", "module.attentions.3.conv2.weight", "module.dilations.0.conv1.weight",
"module.dilations.0.conv1.bias", "module.dilations.0.conv2_1.weight", "module.dilations.0.conv2_2.weight", "module.dilations.0.conv2_3.weight", "module.dilations.0.conv2_4.weight", "module.dilations.1.conv1.weight", "module.dilations.1.conv1.bias"
, "module.dilations.1.conv2_1.weight", "module.dilations.1.conv2_2.weight", "module.dilations.1.conv2_3.weight", "module.dilations.1.conv2_4.weight", "module.dilations.2.conv1.weight", "module.dilations.2.conv1.bias", "module.dilations.2.conv2_1.we
ight", "module.dilations.2.conv2_2.weight", "module.dilations.2.conv2_3.weight", "module.dilations.2.conv2_4.weight", "module.dilations.3.conv1.weight", "module.dilations.3.conv1.bias", "module.dilations.3.conv2_1.weight", "module.dilations.3.conv2
_2.weight", "module.dilations.3.conv2_3.weight", "module.dilations.3.conv2_4.weight".
size mismatch for module.conv_reduces.0.conv.weight: copying a param with shape torch.Size([1, 60, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 24, 1, 1]).
size mismatch for module.conv_reduces.1.conv.weight: copying a param with shape torch.Size([1, 120, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 24, 1, 1]).
size mismatch for module.conv_reduces.2.conv.weight: copying a param with shape torch.Size([1, 240, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 24, 1, 1]).
size mismatch for module.conv_reduces.3.conv.weight: copying a param with shape torch.Size([1, 240, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 24, 1, 1]).
Rainbow0Dash
commented
1 year ago
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for DataParallel: Missing key(s) in state_dict: "module.attentions.0.conv1.weight", "module.attentions.0.conv1.bias", "module.attentions.0.conv2.weight", "module.attentions.1.conv1.weight", "module.attentions.1.conv1.bias", "module.attentions.1.conv2.weight" , "module.attentions.2.conv1.weight", "module.attentions.2.conv1.bias", "module.attentions.2.conv2.weight", "module.attentions.3.conv1.weight", "module.attentions.3.conv1.bias", "module.attentions.3.conv2.weight", "module.dilations.0.conv1.weight", "module.dilations.0.conv1.bias", "module.dilations.0.conv2_1.weight", "module.dilations.0.conv2_2.weight", "module.dilations.0.conv2_3.weight", "module.dilations.0.conv2_4.weight", "module.dilations.1.conv1.weight", "module.dilations.1.conv1.bias" , "module.dilations.1.conv2_1.weight", "module.dilations.1.conv2_2.weight", "module.dilations.1.conv2_3.weight", "module.dilations.1.conv2_4.weight", "module.dilations.2.conv1.weight", "module.dilations.2.conv1.bias", "module.dilations.2.conv2_1.we ight", "module.dilations.2.conv2_2.weight", "module.dilations.2.conv2_3.weight", "module.dilations.2.conv2_4.weight", "module.dilations.3.conv1.weight", "module.dilations.3.conv1.bias", "module.dilations.3.conv2_1.weight", "module.dilations.3.conv2 _2.weight", "module.dilations.3.conv2_3.weight", "module.dilations.3.conv2_4.weight". size mismatch for module.conv_reduces.0.conv.weight: copying a param with shape torch.Size([1, 60, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 24, 1, 1]). size mismatch for module.conv_reduces.1.conv.weight: copying a param with shape torch.Size([1, 120, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 24, 1, 1]). size mismatch for module.conv_reduces.2.conv.weight: copying a param with shape torch.Size([1, 240, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 24, 1, 1]). size mismatch for module.conv_reduces.3.conv.weight: copying a param with shape torch.Size([1, 240, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 24, 1, 1]).