1297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# 2297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# Copyright (C) 2017 The Android Open Source Project 3297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# 4297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# Licensed under the Apache License, Version 2.0 (the "License"); 5297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# you may not use this file except in compliance with the License. 6297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# You may obtain a copy of the License at 7297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# 8297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# http://www.apache.org/licenses/LICENSE-2.0 9297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# 10297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# Unless required by applicable law or agreed to in writing, software 11297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# distributed under the License is distributed on an "AS IS" BASIS, 12297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# See the License for the specific language governing permissions and 14297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# limitations under the License. 15297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# 16297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung 17297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungmodel = Model() 18297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungi1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") 19297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungf1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}") 20297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungb1 = Input("op3", "TENSOR_FLOAT32", "{4}") 21297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungpad0 = Int32Scalar("pad0", 0) 22297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungact = Int32Scalar("act", 0) 23297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungstride = Int32Scalar("stride", 1) 24297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungcm = Int32Scalar("channelMultiplier", 2) 25297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungoutput = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}") 26297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung 27297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungmodel = model.Operation("DEPTHWISE_CONV_2D", 28297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung i1, f1, b1, 29297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung pad0, pad0, pad0, pad0, 30297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung stride, stride, 31297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung cm, act).To(output) 32297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung 33297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# Example 1. Input in operand 0, 34297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sunginput0 = {i1: # input 0 35297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung [10, 21, 10, 22, 10, 23, 36297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung 10, 24, 10, 25, 10, 26, 37297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung 10, 27, 10, 28, 10, 29], 38297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung f1: 39297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung [.25, 0, .2, 0, 40297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung .25, 0, 0, .3, 41297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung .25, 0, 0, 0, 42297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung .25, .1, 0, 0], 43297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung b1: 44297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung [1, 2, 3, 4]} 45297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# (i1 (conv) f1) + b1 46297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# filter usage: 47297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# in_ch1 * f_1 --> output_d1 48297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# in_ch1 * f_2 --> output_d2 49297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# in_ch2 * f_3 --> output_d3 50297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# in_ch3 * f_4 --> output_d4 51297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sungoutput0 = {output: # output 0 52297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung [11, 3, 7.2, 10.6, 53297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung 11, 3, 7.4, 10.9, 54297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung 11, 3, 7.8, 11.5, 55297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung 11, 3, 8.0, 11.8]} 56297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung 57297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) Sung# Instantiate an example 58297c580a2d2da2839d936437bf4e3a4c64034950I-Jui (Ray) SungExample((input0, output0)) 59