现在开始学习keras，作为一个小白，先写一个一个简单的序贯模型和函数式模型

import numpyas np

from keras.layersimport Embedding

from keras.modelsimport Sequential,Input,Model

##序贯式编程

model = Sequential()

model.add(Embedding(1000,64,input_length=10))

input_array = np.random.randint(1000,size=(32,10))

model.compile('rmsprop','mse')

output_array = model.predict(input_array)

assert output_array.shape == (32,10,64)

print('first')

print(output_array.shape)

###函数式模型

a_input = Input(shape=(10,))

ember = Embedding(1000,64,input_length=10)(a_input)

model = Model(inputs = a_input,outputs=ember)

input_array = np.random.randint(1000,size=(32,10))

model.compile('rmsprop',loss ='categorical_crossentropy',metrics=['mse'])

output_array = model.predict(input_array)

assert output_array.shape == (32,10,64)

print('second')

print(output_array.shape)