File size: 1,659 Bytes
56f0cee | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | import abc
from cupyx.distributed import _store
class _Backend(abc.ABC):
def __init__(self, n_devices, rank,
host=_store._DEFAULT_HOST, port=_store._DEFAULT_PORT):
self._n_devices = n_devices
self.rank = rank
self._store_proxy = _store.TCPStoreProxy(host, port)
if rank == 0:
self._store = _store.TCPStore(n_devices)
@abc.abstractmethod
def all_reduce(self, in_array, out_array, op='sum', stream=None):
pass
@abc.abstractmethod
def reduce(self, in_array, out_array, root=0, op='sum', stream=None):
pass
@abc.abstractmethod
def broadcast(self, in_out_array, root=0, stream=None):
pass
@abc.abstractmethod
def reduce_scatter(
self, in_array, out_array, count, op='sum', stream=None):
pass
@abc.abstractmethod
def all_gather(self, in_array, out_array, count, stream=None):
pass
@abc.abstractmethod
def send(self, array, peer, stream=None):
pass
@abc.abstractmethod
def recv(self, out_array, peer, stream=None):
pass
@abc.abstractmethod
def send_recv(self, in_array, out_array, peer, stream=None):
pass
@abc.abstractmethod
def scatter(self, in_array, out_array, root=0, stream=None):
pass
@abc.abstractmethod
def gather(self, in_array, out_array, root=0, stream=None):
pass
@abc.abstractmethod
def all_to_all(self, in_array, out_array, stream=None):
pass
@abc.abstractmethod
def barrier(self):
pass
def stop(self):
if self.rank == 0:
self._store.stop()
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