/python/dgl/distributed/standalone_kvstore.py

"""Define a fake kvstore

This kvstore is used when running in the standalone mode
"""

from .. import backend as F

class KVClient(object):
    ''' The fake KVStore client.

    This is to mimic the distributed KVStore client. It's used for DistGraph
    in standalone mode.
    '''
    def __init__(self):
        self._data = {}
        self._all_possible_part_policy = {}
        self._push_handlers = {}
        self._pull_handlers = {}

    @property
    def all_possible_part_policy(self):
        """Get all possible partition policies"""
        return self._all_possible_part_policy

    def barrier(self):
        '''barrier'''

    def register_push_handler(self, name, func):
        '''register push handler'''
        self._push_handlers[name] = func

    def register_pull_handler(self, name, func):
        '''register pull handler'''
        self._pull_handlers[name] = func

    def add_data(self, name, tensor, part_policy):
        '''add data to the client'''
        self._data[name] = tensor
        if part_policy.policy_str not in self._all_possible_part_policy:
            self._all_possible_part_policy[part_policy.policy_str] = part_policy

    def init_data(self, name, shape, dtype, part_policy, init_func):
        '''add new data to the client'''
        self._data[name] = init_func(shape, dtype)
        if part_policy.policy_str not in self._all_possible_part_policy:
            self._all_possible_part_policy[part_policy.policy_str] = part_policy

    def delete_data(self, name):
        '''delete the data'''
        del self._data[name]

    def data_name_list(self):
        '''get the names of all data'''
        return list(self._data.keys())

    def get_data_meta(self, name):
        '''get the metadata of data'''
        return F.dtype(self._data[name]), F.shape(self._data[name]), None

    def push(self, name, id_tensor, data_tensor):
        '''push data to kvstore'''
        if name in self._push_handlers:
            self._push_handlers[name](self._data, name, id_tensor, data_tensor)
        else:
            F.scatter_row_inplace(self._data[name], id_tensor, data_tensor)

    def pull(self, name, id_tensor):
        '''pull data from kvstore'''
        if name in self._pull_handlers:
            return self._pull_handlers[name](self._data, name, id_tensor)
        else:
            return F.gather_row(self._data[name], id_tensor)

    def map_shared_data(self, partition_book):
        '''Mapping shared-memory tensor from server to client.'''