def test_future_map_raise_exception():
f = RPCFuture()
new = f.map(process_err)
f.set_result(40)
with pytest.raises(TExc):
assert new.result()
def test_propagates_only_once_1():
rpc_fut = RPCFuture()
fut = Future()
rpc_fut.attach(fut)
rpc_fut.cancel()
rpc_fut.set_result(42)
with pytest.raises(CancelledError):
assert fut.result(timeout=1)
def load_model(self, config: dict, model_file: bytes, model_state: bytes,
optimizer_state: bytes,
devices: list) -> RPCFuture[SetDeviceReturnType]:
logger.info("load model")
logger.debug(
"config %s\n model_file %s\n model_state %s\n optimizer_state %s\n devices %s\n",
config,
model_file,
model_state,
optimizer_state,
devices,
)
fut = RPCFuture()
ret = SetDeviceReturnType((1, 1, 1, 10, 10), [(1, 1, 1, 10, 10),
(1, 1, 1, 20, 20)],
(0, 0, 0, 4, 4))
fut.set_result(ret)
return fut
def test_future_map_returns_new_future():
f = RPCFuture()
new = f.map(lambda v: v + 2)
f.set_result(40)
assert new.result() == 42
def forward(self, batch: NDArray) -> RPCFuture[NDArray]:
logger.info("forward for array of shape %s", batch.shape)
fut = RPCFuture()
fut.set_result(batch)
return fut
