TFlearn -如何每一步都不向tensorboard发送数据

pip install tflearn

import tflearn
import tensorflow as tf

class CustomCallback(tflearn.callbacks.Callback):
    def on_epoch_end(self, training_state):
        # 在此处添加自定义操作，例如打印损失值或准确率
        print("Epoch结束，当前损失值：", training_state.global_loss)

    def on_batch_end(self, training_state):
        # 在此处添加自定义操作，例如打印损失值或准确率
        print("批次结束，当前损失值：", trainingstate.global_loss)

# 假设您已经定义了模型和数据
model = tflearn.DNN(network, tensorboard_verbose=0)  # 设置tensorboard_verbose为0以禁用TensorBoard日志记录
model.fit(X_train, Y_train, epochs=10, callbacks=[CustomCallback()])