fixed script for inference

This commit is contained in:
JinZr 2024-10-07 09:53:09 +08:00
parent 93eedced80
commit b65eba2d15

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@ -289,9 +289,9 @@ def main():
logging.info(f"Number of parameters in decoder: {num_param_d}")
num_param_q = sum([p.numel() for p in quantizer.parameters()])
logging.info(f"Number of parameters in quantizer: {num_param_q}")
num_param_ds = sum([p.numel() for p in multi_scale_discriminator.parameters()])
num_param_ds = sum([p.numel() for p in multi_scale_discriminator.parameters()]) if multi_scale_discriminator is not None else 0
logging.info(f"Number of parameters in multi_scale_discriminator: {num_param_ds}")
num_param_dp = sum([p.numel() for p in multi_period_discriminator.parameters()])
num_param_dp = sum([p.numel() for p in multi_period_discriminator.parameters()]) if multi_period_discriminator is not None else 0
logging.info(f"Number of parameters in multi_period_discriminator: {num_param_dp}")
num_param_dstft = sum(
[p.numel() for p in multi_scale_stft_discriminator.parameters()]