xref: /frameworks/ml/nn/tools/test_generator/tests/P_full/addfloat.mod.py

# model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{2}") # a vector of 2 float32s
i2 = Input("op2", "TENSOR_FLOAT32", "{2}") # another vector of 2 float32s
b0 = Int32Scalar("b0", 0) # an int32_t scalar bias
i3 = Output("op3", "TENSOR_FLOAT32", "{2}")
model = model.Operation("ADD", i1, i2, b0).To(i3)

# Example 1. Input in operand 0,
input0 = {i1: # input 0
          [1.0, 2.0],
          i2: # input 1
          [3.0, 4.0]}

output0 = {i3: # output 0
           [4.0, 6.0]}

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