Using Tensorflow Layers in Keras

Question

I\'ve been trying to build a sequential model in Keras using the pooling layer tf.nn.fractional_max_pool. I know I could try making my own custom layer in Keras

Answer 1

Got it to work. For future reference, this is how you would need to implement it. Since tf.nn.fractional_max_pool returns 3 tensors, you need to get the first one only:

model.add(InputLayer(input_tensor=tf.nn.fractional_max_pool(model.layers[3].output, p_ratio)[0]))

Or using Lambda layer:

def frac_max_pool(x):
    return tf.nn.fractional_max_pool(x,p_ratio)[0]

With the model implementation being:

model.add(Lambda(frac_max_pool))