(self)

(self)

(self)

(self)

(self, args)

(logits, temperature: float = 1.0, top_p: float=1.0, top_k: int = None, **kwargs)

(self)

(self, device)

(logits_real, logits_fake)

(logit_fake)

(x)

(images, prompts, model=None)

(server, worker)

(server, worker)

(seq_len: int, n_elem: int, base: int = 10000, cls_token_num=120)

(seq_len: int, n_elem: int, base: int = 10000, cls_token_num=120)

(self, model, inputs, prediction_loss_only, ignore_keys: Optional[list[str]] = None)

( self )

(img, prompt_key, pipe=None, model_name=default_model_name, gen_kwargs={"max_new_tokens":256}, messages=defalu

(img,lbl, pipe=None, model_name=default_model_name, gen_kwargs={"max_new_tokens":256}, messages=defalut_messag

(img,lbl, client=None, model_name=default_model_name, gen_kwargs={"max_new_tokens":256}, messages=defalut_mess

(self, batch_size: int)

(self, batch_size: int)

(self)

(self)

(self, lora_id: int)

(self, lora_id: int)

(self, lora_id: int)

(self, lora_id: int)

(value,min_v,max_v,min_q=0,max_q=5,num_bins=10)

(video, file_name, nrow=None, fps=5)

(self,out_dir)

(video, fname, nrow=None, fps=5)

(img_or_path: Union[list, str, Image.Image], prompt: str, model=None, preprocessor=None, tokenizer=None)

( self, tokenizer: Union[PreTrainedTokenizer, PreTrainedTokenizerFast], )

(x, src_dim=-1, dest_dim=-1, make_contiguous=True)

(x, begin, size)

(fn)

(fn)

(self)

(self)

(logits_real, logits_fake)

(x, i, j, shape)

(self)

(self)

(self)

(*args, **kwargs)

(*args, **kwargs)