'KerasTensor' object has no attribute 'input'

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使用Sequential搭建以下网络量化：
model = Sequential()
model.add(Dense(units=8,kernel_initializer='he_uniform',use_bias=True))
model.add(LeakyReLU(alpha=0.06))
model.add(Dense(units=32,kernel_initializer='he_uniform',use_bias=True))
model.add(Activation('sigmoid'))
model.add(Dense(units=32,kernel_initializer='he_uniform',use_bias=True))
model.add(ReLU())
model.add(Dense(units=2))

nnom.generate_model(model, Input_Arr, name='weights.h')

报错AttributeError: 'KerasTensor' object has no attribute 'input'
keras版本2.14.0

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model = Sequential()
model.add(InputLayer(input_shape=(2,)))
model.add(Dense(units=8,kernel_initializer='he_uniform',use_bias=True))
model.add(LeakyReLU(alpha=0.06))
model.add(Dense(units=32,kernel_initializer='he_uniform',use_bias=True))
model.add(Activation('sigmoid'))
model.add(Dense(units=32,kernel_initializer='he_uniform',use_bias=True))
model.add(ReLU())
model.add(Dense(units=2))