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import abc |
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from cupyx.distributed import _store |
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class _Backend(abc.ABC): |
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def __init__(self, n_devices, rank, |
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host=_store._DEFAULT_HOST, port=_store._DEFAULT_PORT): |
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self._n_devices = n_devices |
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self.rank = rank |
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self._store_proxy = _store.TCPStoreProxy(host, port) |
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if rank == 0: |
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self._store = _store.TCPStore(n_devices) |
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@abc.abstractmethod |
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def all_reduce(self, in_array, out_array, op='sum', stream=None): |
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pass |
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@abc.abstractmethod |
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def reduce(self, in_array, out_array, root=0, op='sum', stream=None): |
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pass |
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@abc.abstractmethod |
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def broadcast(self, in_out_array, root=0, stream=None): |
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pass |
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@abc.abstractmethod |
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def reduce_scatter( |
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self, in_array, out_array, count, op='sum', stream=None): |
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pass |
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@abc.abstractmethod |
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def all_gather(self, in_array, out_array, count, stream=None): |
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pass |
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@abc.abstractmethod |
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def send(self, array, peer, stream=None): |
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pass |
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@abc.abstractmethod |
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def recv(self, out_array, peer, stream=None): |
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pass |
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@abc.abstractmethod |
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def send_recv(self, in_array, out_array, peer, stream=None): |
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pass |
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@abc.abstractmethod |
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def scatter(self, in_array, out_array, root=0, stream=None): |
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pass |
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@abc.abstractmethod |
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def gather(self, in_array, out_array, root=0, stream=None): |
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pass |
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@abc.abstractmethod |
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def all_to_all(self, in_array, out_array, stream=None): |
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pass |
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@abc.abstractmethod |
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def barrier(self): |
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pass |
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def stop(self): |
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if self.rank == 0: |
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self._store.stop() |
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