def output_dtype(self):
self._op_db = db.refresh(self._op_db)
if self._op_db.outputs is None or self._op_db.outputs == "null":
return None
data_id = json.loads(self._op_db.outputs)[0]
data = Data(id=data_id)
return data.dtype
def to_scalar(self):
self._op_db = db.refresh(self._op_db)
if self._op_db.outputs is None or self._op_db.outputs == "null":
return None
data_id = json.loads(self._op_db.outputs)[0]
data = Data(id=data_id)
return Scalar(data.value)
def value(self):
self._data_db = db.refresh(self._data_db)
if self.dtype == "ndarray":
file_path = self._data_db.file_path
value = np.load(file_path, allow_pickle=True)
return value
elif self.dtype in ["int", "float"]:
if self.dtype == "int":
return int(self._data_db.value)
elif self.dtype == "float":
return float(self._data_db.value)
def status(self):
self._graph_db = db.refresh(self._graph_db)
return self._graph_db.status
def dtype(self):
self._data_db = db.refresh(self._data_db)
return self._data_db.type
def status(self):
self._op_db = db.refresh(self._op_db)
return self._op_db.status
