在给出的run_text2text_csl.py文件中 和 args.fp16 有关的属性全部都要出错,我手动在命令行添加了--fp16 true但是报错,报错信息为args属性中没有--fp16,只有以下属性
[-h] [--pretrained_model_path PRETRAINED_MODEL_PATH]
[--output_model_path OUTPUT_MODEL_PATH] --train_path TRAIN_PATH
--dev_path DEV_PATH [--test_path TEST_PATH]
[--config_path CONFIG_PATH]
[--embedding {word,pos,seg,sinusoidalpos,dual} [{word,pos,seg,sinusoidalpos,dual} ...]]
[--tgt_embedding {word,pos,seg,sinusoidalpos,dual} [{word,pos,seg,sinusoidalpos,dual} ...]]
[--max_seq_length MAX_SEQ_LENGTH] [--relative_position_embedding]
[--share_embedding] [--remove_embedding_layernorm]
[--factorized_embedding_parameterization]
[--encoder {transformer,rnn,lstm,gru,birnn,bilstm,bigru,gatedcnn,dual}]
[--decoder {None,transformer}]
[--mask {fully_visible,causal,causal_with_prefix}]
[--layernorm_positioning {pre,post}]
[--feed_forward {dense,gated}]
[--relative_attention_buckets_num RELATIVE_ATTENTION_BUCKETS_NUM]
[--remove_attention_scale] [--remove_transformer_bias]
[--layernorm {normal,t5}] [--bidirectional] [--parameter_sharing]
[--has_residual_attention] [--has_lmtarget_bias]
[--target {sp,lm,mlm,bilm,cls} [{sp,lm,mlm,bilm,cls} ...]]
[--tie_weights] [--pooling {mean,max,first,last}]
[--prefix_lm_loss] [--learning_rate LEARNING_RATE]
[--warmup WARMUP] [--lr_decay LR_DECAY]
[--optimizer {adamw,adafactor}]
[--scheduler {linear,cosine,cosine_with_restarts,polynomial,constant,constant_with_warmup,inverse_sqrt,tri_stage}]
[--batch_size BATCH_SIZE] [--seq_length SEQ_LENGTH]
[--dropout DROPOUT] [--epochs_num EPOCHS_NUM]
[--report_steps REPORT_STEPS] [--seed SEED] [--log_path LOG_PATH]
[--log_level {ERROR,INFO,DEBUG,NOTSET}]
[--log_file_level {ERROR,INFO,DEBUG,NOTSET}]
[--tokenizer {bert,bpe,char,space,xlmroberta}]
[--vocab_path VOCAB_PATH] [--merges_path MERGES_PATH]
[--spm_model_path SPM_MODEL_PATH] [--do_lower_case {true,false}]
[--tgt_seq_length TGT_SEQ_LENGTH] [--metrics METRICS]
在给出的run_text2text_csl.py文件中 和 args.fp16 有关的属性全部都要出错,我手动在命令行添加了--fp16 true但是报错,报错信息为args属性中没有--fp16,只有以下属性
[-h] [--pretrained_model_path PRETRAINED_MODEL_PATH]
[--output_model_path OUTPUT_MODEL_PATH] --train_path TRAIN_PATH
--dev_path DEV_PATH [--test_path TEST_PATH]
[--config_path CONFIG_PATH]
[--embedding {word,pos,seg,sinusoidalpos,dual} [{word,pos,seg,sinusoidalpos,dual} ...]]
[--tgt_embedding {word,pos,seg,sinusoidalpos,dual} [{word,pos,seg,sinusoidalpos,dual} ...]]
[--max_seq_length MAX_SEQ_LENGTH] [--relative_position_embedding]
[--share_embedding] [--remove_embedding_layernorm]
[--factorized_embedding_parameterization]
[--encoder {transformer,rnn,lstm,gru,birnn,bilstm,bigru,gatedcnn,dual}]
[--decoder {None,transformer}]
[--mask {fully_visible,causal,causal_with_prefix}]
[--layernorm_positioning {pre,post}]
[--feed_forward {dense,gated}]
[--relative_attention_buckets_num RELATIVE_ATTENTION_BUCKETS_NUM]
[--remove_attention_scale] [--remove_transformer_bias]
[--layernorm {normal,t5}] [--bidirectional] [--parameter_sharing]
[--has_residual_attention] [--has_lmtarget_bias]
[--target {sp,lm,mlm,bilm,cls} [{sp,lm,mlm,bilm,cls} ...]]
[--tie_weights] [--pooling {mean,max,first,last}]
[--prefix_lm_loss] [--learning_rate LEARNING_RATE]
[--warmup WARMUP] [--lr_decay LR_DECAY]
[--optimizer {adamw,adafactor}]
[--scheduler {linear,cosine,cosine_with_restarts,polynomial,constant,constant_with_warmup,inverse_sqrt,tri_stage}]
[--batch_size BATCH_SIZE] [--seq_length SEQ_LENGTH]
[--dropout DROPOUT] [--epochs_num EPOCHS_NUM]
[--report_steps REPORT_STEPS] [--seed SEED] [--log_path LOG_PATH]
[--log_level {ERROR,INFO,DEBUG,NOTSET}]
[--log_file_level {ERROR,INFO,DEBUG,NOTSET}]
[--tokenizer {bert,bpe,char,space,xlmroberta}]
[--vocab_path VOCAB_PATH] [--merges_path MERGES_PATH]
[--spm_model_path SPM_MODEL_PATH] [--do_lower_case {true,false}]
[--tgt_seq_length TGT_SEQ_LENGTH] [--metrics METRICS]