问题:
今天保存keras模型时出现一个warning:
模型:
def model_bulid(self):
self.model = Sequential()
self.model.add(
LSTM(64, input_shape=(self.x_train_st.shape[1], self.x_train_st.shape[2]), activation='relu', name="LSTM"))
self.model.add(Dense(32, activation='relu', name="layer2"))
self.model.add(Dense(32, activation='relu', name="layer3"))
self.model.add(Dense(self.y_shape[1], name="out"))
保存:
def model_save(self, model_name=None) -> None:
self.model_name = model_name or "预训练模型"
# self.model.save("PreTrain_model.h5")
if not os.path.exists(f"{absolute_path}/dat/model/{model_name}/"):
os.makedirs(f"{absolute_path}/dat/model/{model_name}/")
# 模型参数保存
model = self.model
self.path = f"{absolute_path}/dat/model/{self.model_name}/{self.model_name}.h5"
model.save(f"{absolute_path}/dat/model/{self.model_name}/{self.model_name}.h5")
# 其他参数保存
pkl_path = f"{absolute_path}/dat/model/{self.model_name}/{self.model_name}.pkl"
f = open(pkl_path, 'wb')
self.model = None
pickle.dump(self, f)
f.close()
self.model = model
警告:
WARNING:absl:Function _wrapped_model
contains input name(s) LSTM_input with unsupported characters which will be renamed to lstm_input in the SavedModel.
解决:
把模型中定义的名字改为小写即可:
def model_bulid(self):
self.model = Sequential()
self.model.add(
LSTM(64, input_shape=(self.x_train_st.shape[1], self.x_train_st.shape[2]), activation='relu', name="LSTM"))
self.model.add(Dense(32, activation='relu', name="layer2"))
self.model.add(Dense(32, activation='relu', name="layer3"))
self.model.add(Dense(self.y_shape[1], name="out"))
改为(name=“LSTM” => name=“lstm” ):
def model_bulid(self):
self.model = Sequential()
self.model.add(
LSTM(64, input_shape=(self.x_train_st.shape[1], self.x_train_st.shape[2]), activation='relu', name="lstm"))
self.model.add(Dense(32, activation='relu', name="layer2"))
self.model.add(Dense(32, activation='relu', name="layer3"))
self.model.add(Dense(self.y_shape[1], name="out"))