tests/nnapi/specs/V1_1/div_broadcast_float.mod.py


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# model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2}")
i2 = Input("op2", "TENSOR_FLOAT32", "{2, 2}")
act = Int32Scalar("act", 0)
i3 = Output("op3", "TENSOR_FLOAT32", "{2, 2}")
model = model.Operation("DIV", i1, i2, act).To(i3)

# Example 1. Input in operand 0,
input0 = {i1: # input 0
          [1, 2],
          i2: # input 1
          [1, 1, 2, 2]}

output0 = {i3: # output 0
           [1, 2, 0.5, 1]}

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