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 17 model = Model() 18 i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0") 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0") 20 b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0") 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1) 25 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 2}, 1.f, 0") 26 27 model = 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, 34 input0 = {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) 41 output0 = {output: # output 0 42 [8, 48]} 43 44 # Instantiate an example 45 Example((input0, output0)) 46
