问Keras记录每批训练和测试的损失和准确性

EN

class Histories(keras.callbacks.Callback):
def __init__(self, test_data):
    self.test_data = test_data

def on_train_begin(self, logs={}):
    self.train_acc = []
    self.test_acc = []
    self.train_loss = []
    self.test_loss = []

def on_batch_end(self, batch, logs={}):
    train_loss_batch = logs.get('loss')
    train_acc_batch = logs.get('accuracy')
    self.train_loss.append(train_loss_batch)
    self.train_acc.append(train_acc_batch)
    print('\nTrain loss: {}, acc: {}\n'.format(train_loss_batch, train_acc_batch))

    x, y = self.test_data
    test_loss_batch, test_acc_batch = self.model.evaluate(x, y, verbose=0)
    self.test_loss.append(test_loss_batch)
    self.test_acc.append(test_acc_batch)
    print('\nTesting loss: {}, acc: {}\n'.format(test_loss_batch, test_acc_batch))

histories = my_callbacks.Histories((x_test, y_test))
model.fit(x_train_reduced, y_train_reduced, batch_size, epochs, verbose=1, callbacks=[histories])