1# 2# Copyright (C) 2018 The Android Open Source Project 3# 4# Licensed under the Apache License, Version 2.0 (the "License"); 5# you may not use this file except in compliance with the License. 6# You may obtain a copy of the License at 7# 8# http://www.apache.org/licenses/LICENSE-2.0 9# 10# Unless required by applicable law or agreed to in writing, software 11# distributed under the License is distributed on an "AS IS" BASIS, 12# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13# See the License for the specific language governing permissions and 14# limitations under the License. 15# 16 17model = Model() 18i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") 19f1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}") 20b1 = Input("op3", "TENSOR_FLOAT32", "{4}") 21pad0 = Int32Scalar("pad0", 0) 22act = Int32Scalar("act", 0) 23stride = Int32Scalar("stride", 1) 24cm = Int32Scalar("channelMultiplier", 2) 25output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}") 26 27model = model.Operation("DEPTHWISE_CONV_2D", 28 i1, f1, b1, 29 pad0, pad0, pad0, pad0, 30 stride, stride, 31 cm, act).To(output) 32model = model.RelaxedExecution(True) 33 34# Example 1. Input in operand 0, 35input0 = {i1: # input 0 36 [10, 21, 10, 22, 10, 23, 37 10, 24, 10, 25, 10, 26, 38 10, 27, 10, 28, 10, 29], 39 f1: 40 [.25, 0, .2, 0, 41 .25, 0, 0, .3, 42 .25, 0, 0, 0, 43 .25, .1, 0, 0], 44 b1: 45 [1, 2, 3, 4]} 46# (i1 (conv) f1) + b1 47# filter usage: 48# in_ch1 * f_1 --> output_d1 49# in_ch1 * f_2 --> output_d2 50# in_ch2 * f_3 --> output_d3 51# in_ch3 * f_4 --> output_d4 52output0 = {output: # output 0 53 [11, 3, 7.2, 10.6, 54 11, 3, 7.4, 10.9, 55 11, 3, 7.8, 11.5, 56 11, 3, 8.0, 11.8]} 57 58# Instantiate an example 59Example((input0, output0)) 60