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, 2, 2}") 19f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [1, 2, 3, 4, -9, 10, -11, 12, 5, 6, 7, 8, 13, -14, 15, -16]) 20b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4]) 21pad_valid = Int32Scalar("pad_valid", 2) 22act_none = Int32Scalar("act_none", 0) 23stride = Int32Scalar("stride", 1) 24cm = Int32Scalar("channelMultiplier", 2) 25output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 1, 4}") 26 27model = model.Operation("DEPTHWISE_CONV_2D", 28 i1, f1, b1, 29 pad_valid, 30 stride, stride, 31 cm, act_none).To(output) 32model = model.RelaxedExecution(True) 33 34# Example 1. Input in operand 0, 35input0 = {i1: # input 0 36 [1, 2, 7, 8, 37 3, 4, 9, 10, 38 5, 6, 11, 12]} 39# (i1 (depthconv) f1) 40output0 = {output: # output 0 41 [71, -34, 99, -20, 42 91, -26, 127, -4]} 43 44# Instantiate an example 45Example((input0, output0)) 46