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model = Model()
i1 = Input("input", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
radius = Int32Scalar("radius", 20)
bias = Float32Scalar("bias", 9.)
alpha = Float32Scalar("alpha", 4.)
beta = Float32Scalar("beta", .5)
output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
# Example 1. Input in operand 0,
input0 = {i1: # input 0
[-1.1, .6, .7, 1.2, -.7, .1]}
output0 = {output: # output 0
[-.22, .12, .14, .24, -.14, .02]}
# Instantiate an example
Example((input0, output0))
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