funasr/train_utils/model_summary.py
@@ -47,6 +47,8 @@ def model_summary(model: torch.nn.Module) -> str: message = "Model structure:\n" message += str(model) # for p in model.parameters(): # print(f"{p.numel()}") tot_params = sum(p.numel() for p in model.parameters()) num_params = sum(p.numel() for p in model.parameters() if p.requires_grad) percent_trainable = "{:.1f}".format(num_params * 100.0 / tot_params)