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path: root/tests/nnapi/specs/V1_2/prelu_broadcast_float_1_nnfw.mod.py
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# model
model = Model()
i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 3}") # a vector of input
i2 = Input("op2", "TENSOR_FLOAT32", "{1, 1, 1, 3}") # a vector of alpha
i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 3}") # a vector of output
model = model.Operation("PRELU", i1, i2).To(i3)

# Example 1. Input in operand 0,
input0 = {i1: # input 0
          [0.0, 0.0, 0.0,
           1.0, 1.0, 1.0,
          -1.0, -1.0, -1.0,
          -2.0, -2.0, -2.0],
          i2: # input 1
          [0.0, 1.0, 2.0]}

output0 = {i3: # output 0
           [0.0, 0.0, 0.0,
            1.0, 1.0, 1.0,
            0.0, -1.0, -2.0,
            0.0, -2.0, -4.0]}
# Instantiate an example
Example((input0, output0))