def p2p_fn(tensor, context, peer):
pygloo.recv(
context,
gloo_util.get_tensor_ptr(tensor),
gloo_util.get_tensor_n_elements(tensor),
gloo_util.get_gloo_tensor_dtype(tensor),
peer,
)
def test_send_recv(rank, world_size, fileStore_path):
'''
rank # Rank of this process within list of participating processes
world_size # Number of participating processes
'''
if rank == 0:
if os.path.exists(fileStore_path):
shutil.rmtree(fileStore_path)
os.makedirs(fileStore_path)
else:
time.sleep(0.5)
context = pygloo.rendezvous.Context(rank, world_size)
attr = pygloo.transport.tcp.attr("localhost")
# Perform rendezvous for TCP pairs
dev = pygloo.transport.tcp.CreateDevice(attr)
fileStore = pygloo.rendezvous.FileStore(fileStore_path)
store = pygloo.rendezvous.PrefixStore(str(world_size), fileStore)
context.connectFullMesh(store, dev)
if rank == 0:
sendbuf = np.array([[1, 2, 3], [1, 2, 3]], dtype=np.float32)
sendptr = sendbuf.ctypes.data
# sendbuf = torch.Tensor([[1,2,3],[1,2,3]]).float()
# sendptr = sendbuf.data_ptr()
data_size = sendbuf.size if isinstance(
sendbuf, np.ndarray) else sendbuf.numpy().size
datatype = pygloo.glooDataType_t.glooFloat32
peer = 1
pygloo.send(context, sendptr, data_size, datatype, peer)
print(f"rank {rank} sends {sendbuf}")
elif rank == 1:
recvbuf = np.zeros((2, 3), dtype=np.float32)
recvptr = recvbuf.ctypes.data
# recvbuf = torch.zeros(2,3).float()
# recvptr = recvbuf.data_ptr()
data_size = recvbuf.size if isinstance(
recvbuf, np.ndarray) else recvbuf.numpy().size
datatype = pygloo.glooDataType_t.glooFloat32
peer = 0
pygloo.recv(context, recvptr, data_size, datatype, peer)
print(f"rank {rank} receives {recvbuf}")
else:
raise Exception(
"Only support 2 process to test send function and recv function")
def do_recv(self):
recvbuf = np.zeros((2, 3), dtype=np.float32)
recvptr = recvbuf.ctypes.data
data_size = recvbuf.size if isinstance(
recvbuf, np.ndarray) else recvbuf.numpy().size
datatype = pygloo.glooDataType_t.glooFloat32
peer = 0
pygloo.recv(self._context, recvptr, data_size, datatype, peer)
return recvbuf