crashes with functional model

[btekgit]

When functional model is used, the api does not recognize input layer.
ere is code
`import keras;
from keras.layers import Input, Dense
from keras.models import Model

#This returns a tensor
inputs = Input(shape=(784,))
#a layer instance is callable on a tensor, and returns a tensor
l1 = Dense(units=800,kernel_initializer=keras.initializers.Ones(), activation='relu')(inputs)
l2 = Dense(units=800,kernel_initializer=keras.initializers.Ones(), activation='relu')(l1)
lo = Dense(10, activation='softmax')(l2)

#This creates a model that includes
#the Input layer and three Dense layers
model = Model(inputs=inputs, outputs=lo)
model.compile(optimizer='rmsprop',
loss='categorical_crossentropy',
metrics=['accuracy'])

from ann_visualizer.visualize import ann_viz;

ann_viz(model, title="");`

[RedaOps]

Can you post the error message you are getting?