怎么synthesizer_train.py都不见了，用train.py训练是跑上了，就是没有输出LOSS图也没有模型文件生成？

**Summary[问题简述（一句话）]**
说明和现行文件不匹配，无synthesizer_train.py,也无synthesizer输出模型的目录。

**Env & To Reproduce[复现与环境]**
描述你用的环境、代码版本、模型
import argparse

def main():
# Arguments
preparser = argparse.ArgumentParser(description='Training model.')
preparser.add_argument('--type', type=str, help='type of training ')

###
paras, _ = preparser.parse_known_args()
paras.type = "synth"
if paras.type == "synth":
from control.cli.synthesizer_train import new_train
new_train()
if paras.type == "vits":
from models.synthesizer.train_vits import new_train
new_train()

if __name__ == "__main__":
main()
print("over")

**Screenshots[截图（如有）]**


Start by checking the current training entry point and the imports for control.cli.synthesizer_train and models.synthesizer.train_vits, then reproduce the reported run through train.py. Confirm which files and output directories the current code actually uses; done means the documented training path runs and produces the expected loss plot and model files.

Written by the indexing model from the issue text.