Load pretrained model state_dict error ,when run synthesis.py

[bowenAccount]

RuntimeError: Error(s) in loading state_dict for WaveNet:
Missing key(s) in state_dict: "upsample_net.conv_in.weight", "upsample_net.upsample.up_layers.1.weight_g", "upsample_net.upsample.up_layers
.1.weight_v", "upsample_net.upsample.up_layers.3.weight_g", "upsample_net.upsample.up_layers.3.weight_v", "upsample_net.upsample.up_layers.5.weight
g", "upsample_net.upsample.up_layers.5.weight_v", "upsample_net.upsample.up_layers.7.weight_g", "upsample_net.upsample.up_layers.7.weight_v".
Unexpected key(s) in state_dict: "upsample_conv.0.bias", "upsample_conv.0.weight_g", "upsample_conv.0.weight_v", "upsample_conv.2.bias", "u
psample_conv.2.weight_g", "upsample_conv.2.weight_v", "upsample_conv.4.bias", "upsample_conv.4.weight_g", "upsample_conv.4.weight_v", "upsample_con
v.6.bias", "upsample_conv.6.weight_g", "upsample_conv.6.weight_v", "conv_layers.0.conv1x1c.bias", "conv_layers.1.conv1x1c.bias", "conv_layers.2.con
v1x1c.bias", "conv_layers.3.conv1x1c.bias", "conv_layers.4.conv1x1c.bias", "conv_layers.5.conv1x1c.bias", "conv_layers.6.conv1x1c.bias", "conv_laye
rs.7.conv1x1c.bias", "conv_layers.8.conv1x1c.bias", "conv_layers.9.conv1x1c.bias", "conv_layers.10.conv1x1c.bias", "conv_layers.11.conv1x1c.bias",
"conv_layers.12.conv1x1c.bias", "conv_layers.13.conv1x1c.bias", "conv_layers.14.conv1x1c.bias", "conv_layers.15.conv1x1c.bias", "conv_layers.16.con
v1x1c.bias", "conv_layers.17.conv1x1c.bias", "conv_layers.18.conv1x1c.bias", "conv_layers.19.conv1x1c.bias", "conv_layers.20.conv1x1c.bias", "conv
layers.21.conv1x1c.bias", "conv_layers.22.conv1x1c.bias", "conv_layers.23.conv1x1c.bias".

[bowenAccount]

'--preset': '20180510_mixture_lj_checkpoint_step000320000_ema.json',
'--speaker-id': None,
'': './model/20180510_mixture_lj_checkpoint_step000320000_ema.pth',

[Mingrg]

@liu7719 Hi, I got the same error, do you figure it out why is this happening now?

[kxiong0]

Make sure to use the right hyperparameters