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path: root/runtimes/tests/neural_networks_test/specs/Ex/gather_2D_float.mod.py
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# model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{3,4}") # a vector of 2 float32s
i2 = Input("op2", "TENSOR_INT32", "{2}") # another vector of 2 int32s
axis = Int32Scalar("axis", 0)
i3 = Output("op3", "TENSOR_FLOAT32", "{2,4}")
model = model.Operation("GATHER_EX", i1, i2, axis).To(i3)

# Example 1. Input in operand 0,
input0 = {i1: # input 0
          [3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789,
          7.123456789123456789, 8.123456789123456789, 9.123456789123456789, 1.123456789123456789,
          2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789],
          i2: # input 1
          [2, 0]}

output0 = {i3: # output 0
           [2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789,
           3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789]}

# Instantiate an example
Example((input0, output0))