Desc: 初始化 Args: self : self points : 构成polygon的点, 首点和末点不相同 holes : 区域内洞的表达 Return:

Desc: 两个region进行交集, 差集, 并集运算 Args: self : self op : "interact", "subtract", "union" regi

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of inpunt tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Reshape the last dimension of input tensor x so that it becomes two dimensions and then transpose. Specifically, input a tensor with

Creates examples for the training and dev sets.

Creates examples for the training and dev sets.

stdin sample generator: read from stdin

eval_exact_match

eval_exact_match

Args: db (TYPE): NULL col (TYPE): NULL Returns: TODO Raises: NULL

:param src_ids: :param position_ids: :param sentence_ids: :param task_ids: :param input_mask: :return

encode images and texts independently by Vit and RoBERTa, get the optimal grounded tokens

Get the absolute index for the list of layers

get token id

Initialize token information from a list of subtoken strings. Args: subtoken_strings: a list of subtokens reserved_tokens

Checks whether `chars` is a whitespace character.

Loads the dataset Args: data_path: the data file to load

Reads a comma separated value file.

Reads a tab separated value file.

Reads a tab separated value file.

_read_json_file

_read_json_file

resplit

resplit

:param text: input text, unicode string :return: tokenized text, list

Truncates a sequence pair in place to the maximum length.

Truncates a sequence pair in place to the maximum length.

:param filename

apply rule

Build batches

:param filenames: :param vocab_size: :return:

calculate max sequence length

calc_cover_rate

calc_cover_rate

calc_cover_rate

calc_cover_rate

calc mrr at k for dataset

calc mrr at k for dataset

calc ndcg at k for dataset

calc ndcg at k for dataset

calculate_f1

candidate slection

candidate slection

size of allocated memory

Reformat the data and drop literals if necessary.

Reformat the data.

Reformat the data.