How is the FP16 model trained?

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❓How is the FP16 model trained? Can I save the FP16 model as a normal model after training?

Before asking:

What is your question?

1. 用ddp训练: ++train_conf.use_fp16=true,最后保存的模型仍为fp32
2. 用deepseed训练: FunASR/funasr/models/sanm/attention.py", line 518, in forward [rank0]: inputs = inputs * mask [rank0]: ~~~~~~~^~~~~~ [rank0]: RuntimeError: The size of tensor a (0) must match the size of tensor b (74) at non-singleton dimension 1

Code

What have you tried?

What's your environment?

• OS (e.g., Linux):
• FunASR Version (e.g., 1.0.0):
• ModelScope Version (e.g., 1.11.0):
• PyTorch Version (e.g., 2.0.0):
• How you installed funasr (pip, source):
• Python version:
• GPU (e.g., V100M32)
• CUDA/cuDNN version (e.g., cuda12.1):
• Any other relevant information: