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)) 21