训练保存的或者下载作者提供的模型都是模型参数，我们要将它导出为预测模型，这样可以直接使用模型，不再需要模型结构代码，同时使用Inference接口可以加速预测，详细参数请查看该程序。
python export_model.py --resume_model=models/ConformerModel_fbank/best_model/输出结果：
2024-09-21 15:33:53.584 | INFO | ppasr.utils.utils:print_arguments:13 - ----------- 额外配置参数 -----------
2024-09-21 15:33:53.585 | INFO | ppasr.utils.utils:print_arguments:15 - configs: configs/conformer.yml
2024-09-21 15:33:53.585 | INFO | ppasr.utils.utils:print_arguments:15 - resume_model: models/ConformerModel_fbank/best_model/
2024-09-21 15:33:53.585 | INFO | ppasr.utils.utils:print_arguments:15 - save_model: models/
2024-09-21 15:33:53.585 | INFO | ppasr.utils.utils:print_arguments:15 - save_quant: False
2024-09-21 15:33:53.585 | INFO | ppasr.utils.utils:print_arguments:15 - use_gpu: True
2024-09-21 15:33:53.585 | INFO | ppasr.utils.utils:print_arguments:16 - ------------------------------------------------
2024-09-21 15:33:53.607 | INFO | ppasr.utils.utils:print_arguments:19 - ----------- 配置文件参数 -----------
2024-09-21 15:33:53.607 | INFO | ppasr.utils.utils:print_arguments:23 - dataset_conf:
2024-09-21 15:33:53.607 | INFO | ppasr.utils.utils:print_arguments:26 - batch_sampler:
2024-09-21 15:33:53.607 | INFO | ppasr.utils.utils:print_arguments:28 - batch_size: 6
2024-09-21 15:33:53.607 | INFO | ppasr.utils.utils:print_arguments:28 - drop_last: True
2024-09-21 15:33:53.607 | INFO | ppasr.utils.utils:print_arguments:28 - shuffle: True
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - sortagrad: True
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:26 - dataLoader:
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - num_workers: 4
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:26 - dataset:
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - manifest_type: txt
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - max_duration: 20
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - min_duration: 0.5
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - sample_rate: 16000
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - target_dB: -20
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - use_dB_normalization: True
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:30 - mean_istd_path: dataset/mean_istd.json
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:30 - test_manifest: dataset/test.jsonl
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:30 - train_manifest: dataset/train.jsonl
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:23 - decoder_conf:
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:26 - decoder_args:
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - attention_heads: 4
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - dropout_rate: 0.1
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - linear_units: 1024
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - num_blocks: 3
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - positional_dropout_rate: 0.1
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - r_num_blocks: 3
2024-09-21 15:33:53.608 | INFO | ppasr.utils.utils:print_arguments:28 - self_attention_dropout_rate: 0.1
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - src_attention_dropout_rate: 0.1
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:30 - decoder_name: BiTransformerDecoder
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:23 - encoder_conf:
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:26 - encoder_args:
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - activation_type: swish
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - attention_dropout_rate: 0.1
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - attention_heads: 4
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - cnn_module_kernel: 15
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - dropout_rate: 0.1
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - input_layer: conv2d
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - linear_units: 2048
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - normalize_before: True
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - num_blocks: 12
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - output_size: 256
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - pos_enc_layer_type: rel_pos
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - positional_dropout_rate: 0.1
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:28 - use_cnn_module: True
2024-09-21 15:33:53.610 | INFO | ppasr.utils.utils:print_arguments:30 - encoder_name: ConformerEncoder
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:23 - model_conf:
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:30 - model: ConformerModel
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:26 - model_args:
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - ctc_weight: 0.3
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - length_normalized_loss: False
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - lsm_weight: 0.1
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - reverse_weight: 0.3
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - streaming: True
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:23 - optimizer_conf:
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:30 - optimizer: Adam
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:26 - optimizer_args:
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - lr: 0.001
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - weight_decay: 1e-06
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:30 - scheduler: WarmupLR
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:26 - scheduler_args:
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - min_lr: 1e-05
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - warmup_steps: 25000
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:23 - preprocess_conf:
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:30 - feature_method: fbank
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:26 - method_args:
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:28 - num_mel_bins: 80
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:23 - tokenizer_conf:
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:30 - build_vocab_size: None
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:30 - model_type: char
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:30 - non_linguistic_symbols: []
2024-09-21 15:33:53.611 | INFO | ppasr.utils.utils:print_arguments:30 - remove_non_linguistic_symbols: False
2024-09-21 15:33:53.612 | INFO | ppasr.utils.utils:print_arguments:30 - vocab_model_dir: dataset/vocab_model/
2024-09-21 15:33:53.612 | INFO | ppasr.utils.utils:print_arguments:23 - train_conf:
2024-09-21 15:33:53.612 | INFO | ppasr.utils.utils:print_arguments:30 - accum_grad: 4
2024-09-21 15:33:53.612 | INFO | ppasr.utils.utils:print_arguments:30 - enable_amp: False
2024-09-21 15:33:53.612 | INFO | ppasr.utils.utils:print_arguments:30 - grad_clip: 5.0
2024-09-21 15:33:53.612 | INFO | ppasr.utils.utils:print_arguments:30 - log_interval: 100
2024-09-21 15:33:53.612 | INFO | ppasr.utils.utils:print_arguments:30 - max_epoch: 200
2024-09-21 15:33:53.613 | INFO | ppasr.utils.utils:print_arguments:30 - use_compile: False
2024-09-21 15:33:53.613 | INFO | ppasr.utils.utils:print_arguments:33 - ------------------------------------------------
2024-09-21 15:33:53.979 | INFO | ppasr.model_utils:build_model:23 - 成功创建模型：ConformerModel，参数为：{'streaming': True, 'ctc_weight': 0.3, 'lsm_weight': 0.1, 'reverse_weight': 0.3, 'length_normalized_loss': False, 'input_size': 80, 'vocab_size': 8000, 'mean_istd_path': 'dataset/mean_istd.json', 'sos_id': 2, 'eos_id': 3}
2024-09-21 15:33:54.401 | INFO | ppasr.trainer:export:615 - 成功恢复模型参数和优化方法参数：models/ConformerModel_fbank/best_model/model.pth
2024-09-21 15:33:55.666 | INFO | ppasr.trainer:export:627 - 预测模型已保存：models/ConformerModel_fbank/inference_model\inference.pth