1# 2# Copyright (C) 2017 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_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0") 19f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0") 20b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0") 21pad0 = Int32Scalar("pad0", 0) 22act = Int32Scalar("act", 0) 23stride = Int32Scalar("stride", 1) 24cm = Int32Scalar("channelMultiplier", 1) 25output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 2}, 1.f, 0") 26 27model = model.Operation("DEPTHWISE_CONV_2D", 28 i1, f1, b1, 29 pad0, pad0, pad0, pad0, 30 stride, stride, 31 cm, act).To(output) 32 33# Example 1. Input in operand 0, 34input0 = {i1: # input 0 35 [4, 16, 4, 32, 4, 64, 4, 128], 36 f1: 37 [2, 4, 2, 0, 2, 2, 2, 0], 38 b1: 39 [0, 0]} 40# (i1 (depthconv) f1) 41output0 = {output: # output 0 42 [8, 48]} 43 44# Instantiate an example 45Example((input0, output0)) 46