{
    "type": "WaveNet",
    "n_feat": 9,
    "n_out": 80,
    "batch_size": 256,
    "pre_train_steps": 10000,
    "res_channels": 256,
    "skip_channels": 256,
    "kernel_size": 5,
    "dilations": [
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        1,
        1,
        1,
        1,
        1,
        1,
        1
    ],
    "causal": false,
    "detach_feature_map_from_gan": false
}