1# model
2model = Model()
3i1 = Input("op1", "TENSOR_FLOAT32", "{2}") # a vector of 2 float32s
4i2 = Input("op2", "TENSOR_FLOAT32", "{2}") # another vector of 2 float32s
5b0 = Int32Scalar("b0", 0) # an int32_t scalar bias
6tmp = Internal("tmp", "TENSOR_FLOAT32", "{2}")
7tmp2 = Internal("tmp2", "TENSOR_FLOAT32", "{2}")
8o3 = Output("op3", "TENSOR_FLOAT32", "{2}")
9i4 = Input("op4", "TENSOR_FLOAT32", "{2}") # another vector of 2 float32s
10model = model.Operation("ADD", i1, i2, b0).To(tmp)
11model = model.Operation("ADD", tmp, i2, b0).To(tmp2)
12model = model.Operation("ADD", tmp2, i4, b0).To(o3)
13
14# Example 1. Input in operand 0,
15input0 = {i1: # input 0
16          [1.0, 2.0],
17          i2: # input 1
18          [3.0, 4.0],
19          i4: # input 4
20          [5.0, 6.0]}
21
22output0 = {o3: # output 0
23           [9.0, 12.0]}
24
25# Instantiate an example
26Example((input0, output0))
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