1# model 2model = Model() 3i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") 4i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") 5act = Int32Scalar("act", 0) # an int32_t scalar fuse_activation 6i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") 7model = model.Operation("DIV", i1, i2, act).To(i3) 8 9# Example 1. Input in operand 0, 10input0 = {i1: # input 0 11 [2.0, -4.0, 8.0, -16.0], 12 i2: # input 1 13 [2.0, -2.0, -4.0, 4.0]} 14 15output0 = {i3: # output 0 16 [1.0, 2.0, -2.0, -4.0]} 17 18# Instantiate an example 19Example((input0, output0)) 20 21 22# Test DIV by zero. 23# It is undefined behavior. The output is ignored and we only require the drivers to not crash. 24input0 = Input("input0", "TENSOR_FLOAT32", "{1}") 25input1 = Input("input1", "TENSOR_FLOAT32", "{1}") 26output = IgnoredOutput("output", "TENSOR_FLOAT32", "{1}") 27model = Model("by_zero").Operation("DIV", input0, input1, 0).To(output) 28Example({ 29 input0: [1], 30 input1: [0], 31 output: [0], 32}).AddVariations("relaxed") 33