14d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang# model
24d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wangmodel = Model()
34d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wangi1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}")
44d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wangi2 = Parameter("op2", "TENSOR_INT32", "{4, 2}", [0, 0, 1, 1, 1, 1, 0, 0])
54d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wangi3 = Output("op3", "TENSOR_FLOAT32", "{1, 4, 4, 1}")
64d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wangmodel = model.Operation("PAD", i1, i2).To(i3)
74d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang
84d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang# Example 1. Input in operand 0,
94d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wanginput0 = {i1: # input 0
104d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang          [1.0, 2.0,
114d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang           3.0, 4.0,]}
124d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang
134d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wangoutput0 = {i3: # output 0
144d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang           [0.0, 0.0, 0.0, 0.0,
154d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang            0.0, 1.0, 2.0, 0.0,
164d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang            0.0, 3.0, 4.0, 0.0,
174d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang            0.0, 0.0, 0.0, 0.0]}
184d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang
194d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao Wang# Instantiate an example
204d8c48b3cc55c0748ef87a0ba8bbbd3959680213Miao WangExample((input0, output0))
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