keras模型保存报错解决

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"))