Args: sequence_length: length of sequence. packed_text_ids: 1-D int tensor, packed text token ids. packed

Input shape: Batch x Time x Channel

Args: hidden_states (`torch.FloatTensor`): Input to the layer of shape `(batch, seq_len, embed_dim)`.

r""" Args: inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`): Optionally,

r""" Returns:

r""" Returns: Examples: ```python >>> from transformers import AutoTokenizer, SiglipTextModel >>> model = S

r""" Returns:

r""" Returns: Examples: ```python >>> from PIL import Image >>> import requests >>> from transformer

r""" Returns: Examples: ```python >>> from PIL import Image >>> import requests >>> from transformer

r""" labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*): Labels for computing the image classification/regression lo

Args: img (PIL Image): Image to be resized. img_num (int): Number of images, used to change max_tokens. Retur

r""" Instantiate a [`SiglipConfig`] (or a derived class) from siglip text model configuration and siglip vision model configuration.

Search for a file across a directory and return its absolute path. Args: filename (Union[str, os.PathLike]): The name of the file to

r""" Returns: image_features (`torch.FloatTensor` of shape `(batch_size, output_dim`): The image embeddings obtained by

Given the list of options for multiple choice question Return the index2ans and all_choices

Retrieve sequence ids from a token list that has no special tokens added. This method is called when adding special tokens using the

r""" Returns: text_features (`torch.FloatTensor` of shape `(batch_size, output_dim`): The text embeddings obtained by

图像分割后随机空白部分patch，用于inpainting任务 参数： image: PIL.Image 输入图像（RGB模式） h_splits: int 行分割数（垂直方向分割块数） w_splits: int 列分割数

Merge multiple images into one image Args: image_links (List, optional): List of image links. Defaults to []. Returns:

Parse the prediction from the generated response. Return the predicted index e.g., A, B, C, D.

Preprocess an image or batch of images. Args: images (`ImageInput`): Image to preprocess. Expects a sing

Thread worker: evaluate a single image and save results

Thread worker: evaluate a single image and save results

Helper for threaded evaluation of a single image.

Thread worker: evaluate one image, save results and return packaged data.

Thread worker: evaluate and package results for one image.

Reads the contents of a text file and returns it as a string. :param file_path: The path to the text file. :return: A string containing

Reads the contents of multiple text files and returns them as a single string, with each file's contents separated by a newline. :param

Save a dictionary of data to a JSON Lines file with the filename as key and caption as value. Args: filename (str): The path to the