def send_proto(self, iter_id, name, proto):
any_proto = google.protobuf.any_pb2.Any()
any_proto.Pack(proto)
msg = tws_pb.TrainerWorkerMessage(data=tws_pb.DataMessage(
iter_id=iter_id, name=name, any_data=any_proto))
self._transmit(msg)
logging.debug('Data: send protobuf %s for iter %d. seq_num=%d.', name,
iter_id, msg.seq_num)
def start(self, iter_id):
assert self._current_iter_id is None, "Last iter not finished"
self._current_iter_id = iter_id
msg = tws_pb.TrainerWorkerMessage(start=tws_pb.StartMessage(
iter_id=iter_id))
self._transmit(msg)
logging.debug("Starting iter %d", iter_id)
def commit(self):
assert self._current_iter_id is not None, "Not started yet"
with self._condition:
last_iter_id = self._current_iter_id
self._current_iter_id = None
if last_iter_id in self._received_data:
del self._received_data[last_iter_id]
msg = tws_pb.TrainerWorkerMessage(commit=tws_pb.CommitMessage(
iter_id=last_iter_id))
self._transmit(msg)
logging.debug("iter %d committed", last_iter_id)
def _keepalive_daemon_fn(self):
stop_event = threading.Event()
def shutdown_fn():
stop_event.set()
return
self._keepalive_daemon_shutdown_fn = shutdown_fn
assert self._streaming_mode and self._connected
while not stop_event.is_set():
with self._transmit_send_lock:
msg = tws_pb.TrainerWorkerMessage(
seq_num=-1, # not used for keep alive message
keepalive=tws_pb.KeepAliveMessage()
)
self._transmit_queue.put(msg)
time.sleep(1)
def send(self, iter_id, name, x):
msg = tws_pb.TrainerWorkerMessage(data=tws_pb.DataMessage(
iter_id=iter_id, name=name, tensor=tf.make_tensor_proto(x)))
self._transmit(msg)
logging.debug('Data: send %s for iter %d. seq_num=%d.', name, iter_id,
msg.seq_num)
def prefetch(self, iter_id, sample_ids):
msg = tws_pb.TrainerWorkerMessage(prefetch=tws_pb.PrefetchMessage(
iter_id=iter_id, sample_ids=sample_ids))
self._transmit(msg)
def fake_start_message(seq_num, iter_id):
return tws_pb.TrainerWorkerMessage(
seq_num=seq_num, start=tws_pb.StartMessage(iter_id=iter_id))
