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# model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{8}")
axis = Int32Scalar("axis", 0)
num_out = Int32Scalar("num_out", 8)
i2 = Output("op2", "TENSOR_FLOAT32", "{1}")
i3 = Output("op3", "TENSOR_FLOAT32", "{1}")
i4 = Output("op4", "TENSOR_FLOAT32", "{1}")
i5 = Output("op5", "TENSOR_FLOAT32", "{1}")
i6 = Output("op6", "TENSOR_FLOAT32", "{1}")
i7 = Output("op7", "TENSOR_FLOAT32", "{1}")
i8 = Output("op8", "TENSOR_FLOAT32", "{1}")
i9 = Output("op9", "TENSOR_FLOAT32", "{1}")
model = model.Operation("SPLIT_EX", i1, axis, num_out).To([i2, i3, i4, i5, i6, i7, i8, i9])
# Example 1. Input in operand 0,
input0 = {i1: # input 0
[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0]}
output0 = {
i2: # output 0
[1.0],
i3: # output 1
[2.0],
i4: # output 2
[3.0],
i5: # output 3
[4.0],
i6: # output 4
[5.0],
i7: # output 5
[6.0],
i8: # output 6
[7.0],
i9: # output 7
[8.0]}
# Instantiate an example
Example((input0, output0))
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