collect and preprocess raw data from acl Imdb dataset

Client pull weights from server. Namely server push weights from clients.

Server pull weights from clients. Namely clients push weights to the server. It is the gather process.

Server push weights to clients. Namely clients pull weights from server. It is the scatter process.

return {alg_name: score}

Crop the image at random offset to get a patch of the given size. Args: patch(tuple): width and height of the patch i

Read a SQuAD json file into a list of SquadExample.

Receive an integer from socket. Args: conn (socket.socket): Socket connection. pack_format (str, optional): Pack format. Defaults

Resize the image to be the given width and height

Args: num_case: num of resize cases, must be <= the length of size_list inplace: inplace imgs or not (return new_imgs

Args: num_case: num of rotate cases, must be <= the length of angle_list inplace: inplace imgs or not ( return new_im

run the forward of singa model Args: x (np.ndarray[]): a list of numpy ndarray as inputs Returns: a

:param time_budget: the given time budget, in second :return:

Save states. Args: fpath: output file path (without the extension) aux_states(dict): values are standard data types o

Save states. Args: fpath: output file path (without the extension) aux_states(dict): values are standard data types o

[reference] https://gist.github.com/KirillVladimirov/005ec7f762293d2321385580d3dbe335

[reference] https://gist.github.com/KirillVladimirov/005ec7f762293d2321385580d3dbe335

Select model online for structured data. :param budget: time budget :param data_loader: time budget :param only_pha

Select model online for structured data. :param budget: time budget :param data_loader: time budget :param only_pha

Send an integer from socket. Args: conn (socket.socket): Socket connection. i (int): Integer to send. pack_format (str, o