33 lines
999 B
Python
33 lines
999 B
Python
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# model
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model = Model()
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i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}")
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i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}")
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act = Int32Scalar("act", 0) # an int32_t scalar fuse_activation
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i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}")
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model = model.Operation("DIV", i1, i2, act).To(i3)
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# Example 1. Input in operand 0,
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input0 = {i1: # input 0
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[2.0, -4.0, 8.0, -16.0],
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i2: # input 1
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[2.0, -2.0, -4.0, 4.0]}
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output0 = {i3: # output 0
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[1.0, 2.0, -2.0, -4.0]}
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# Instantiate an example
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Example((input0, output0))
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# Test DIV by zero.
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# It is undefined behavior. The output is ignored and we only require the drivers to not crash.
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input0 = Input("input0", "TENSOR_FLOAT32", "{1}")
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input1 = Input("input1", "TENSOR_FLOAT32", "{1}")
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output = IgnoredOutput("output", "TENSOR_FLOAT32", "{1}")
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model = Model("by_zero").Operation("DIV", input0, input1, 0).To(output)
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Example({
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input0: [1],
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input1: [0],
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output: [0],
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}).AddVariations("relaxed")
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