add argument

Desc: 运行分类 Args: self : self points : 需要分类的point Return: list of mygeo.Point, 无法分类的point

Desc: region重新赋值 Args: self : self region : 一个新的region Return: None Raise:

Desc: 顶点替换, 将区域中的points点序列替换成newpoints点序列 Args: self : self src_points : old points dest_newpoin

doc

adds the token to vocab Args: token: a string cnt: a num indicating the count of the token to add, default is

parse args and load config from conf file

add argument of the group

add argument of the group

Return a view of the list of tokens from [i, j).

Desc: 添加一个key, 如果key已经存在, 返回key对应的value Args: key : key value : value, 如果value == None, 则认为value = key

pop

bpe decoding

index

add_arg

clone

resize the used memory to 'size', should not be greater than capacity

add_arg

Add argument

convert to tensor

:param key,default_value: :retrun:

get the size of vocabulary Returns: an integer indicating the size

generating record file :param data_list: :param is_train: :return:

read file

override this function since initial parameters will return with a generator.z :return:

bpe encoding

获取 reduction: str, ['sum', 'mean', None]

Decoding to generate output text

set relation for position (i, j)

data_generator

get an object from this queue

Not implemented

Pad the instances to the max sequence length in batch, and generate the corresponding position data and attention bias.

Desc: Point作为dict的key的对象 Args: self : self Return: None Raise: None

Encoding the source input

generate ernie tokens

prepare embedding

create tensors

Desc: 判断对象是否有效 Args: self : Return: None Raise: None

Pad the instances to the max sequence length in batch, and generate the corresponding position data and attention bias.

Pad the instances to the max sequence length in batch, and generate the corresponding position data and attention bias.

step

batch_reader

Calculates word n-grams for multiple sentences.

load

replace ll with vals in idxs position

Pad the instances to the max sequence length in batch, and generate the corresponding position data and attention bias.

search

Add a new hypothesis to the list.

run eval