↓ 1 callersFunctionattention_fn_default(query_layer, key_layer, value_layer, attention_mask,
attention_dropout=None, log_atten
SwissArmyTransformer/sat/transformer_defaults.py:47
↓ 1 callersMethodbatch_generate(self, tokenizer, queries, max_length: int = 2048, num_beams=1,
do_sample=True, top_p=0.7, temper
SwissArmyTransformer/examples/chatglm/chat_model.py:192
↓ 1 callersMethodbatch_generate(self, tokenizer, queries, max_length: int = 8192, num_beams=1,
do_sample=True, top_p=0.8, temper
SwissArmyTransformer/examples/chatglm2/chat_model.py:180
↓ 1 callersFunctionchat(model, tokenizer,
max_length: int = 256, num_beams=1, top_p=0.7, top_k=0, temperature=0.95)
SwissArmyTransformer/examples/llama/chat_sat.py:8
↓ 1 callersFunctionchat(model, tokenizer,
max_length: int = 256, num_beams=1, top_p=0.7, top_k=0, temperature=0.95)
SwissArmyTransformer/examples/chatglm3/chat_sat.py:31
↓ 1 callersFunctionchat(model, tokenizer,
query: str, history: List[Tuple[str, str]] = None,
max_length: int = 1024
SwissArmyTransformer/examples/chatglm/chat_sat.py:70
↓ 1 callersFunctionchat(model, tokenizer,
max_length: int = 256, top_p=0.7, top_k=0, temperature=0.95)
SwissArmyTransformer/examples/chatglm2/chat_sat.py:8
↓ 1 callersMethoddecode(self, input_ids, position_ids, attention_mask, encoder_outputs,cross_attention_mask=None, **kw_args)
SwissArmyTransformer/sat/model/encoder_decoder_model.py:67
↓ 1 callersMethoddecode(self, input_ids, attention_mask=None, encoder_outputs=None, cross_attention_mask=None, **kw_args)
SwissArmyTransformer/sat/model/official/t5_model.py:270