1cfe77f9ed8a14f97c7f18e4097492a2776a05d2aI-Jui (Ray) Sungi4 = Int32Scalar("b4", 2) 2cfe77f9ed8a14f97c7f18e4097492a2776a05d2aI-Jui (Ray) Sungi5 = Int32Scalar("b5", 2) 3cfe77f9ed8a14f97c7f18e4097492a2776a05d2aI-Jui (Ray) Sungi6 = Int32Scalar("b6", 2) 4cfe77f9ed8a14f97c7f18e4097492a2776a05d2aI-Jui (Ray) Sungi7 = Int32Scalar("b7", 0) 5dcd2fbf1da7ebdc1aa1b57c74db4fffd2911e3b8I-Jui (Ray) Sungi2 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}") # input 0 6dcd2fbf1da7ebdc1aa1b57c74db4fffd2911e3b8I-Jui (Ray) Sungi3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 1}") # output 0 7dcd2fbf1da7ebdc1aa1b57c74db4fffd2911e3b8I-Jui (Ray) Sungi0 = Parameter("op0", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}", [1, 1, 1, 1]) # parameters 8dcd2fbf1da7ebdc1aa1b57c74db4fffd2911e3b8I-Jui (Ray) Sungi1 = Parameter("op1", "TENSOR_INT32", "{1}", [0]) # parameters 9dcd2fbf1da7ebdc1aa1b57c74db4fffd2911e3b8I-Jui (Ray) Sungmodel = Model() 10dcd2fbf1da7ebdc1aa1b57c74db4fffd2911e3b8I-Jui (Ray) Sungmodel = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3) 11dcd2fbf1da7ebdc1aa1b57c74db4fffd2911e3b8I-Jui (Ray) Sung 12