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, 3, 3, 1}, 0.5f, 0") 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0") 20 b1 = Input("op3", "TENSOR_INT32", "{1}, 0.25f, 0") 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 # output dimension: 25 # (i1.height - f1.height + 1) x (i1.width - f1.width + 1) 26 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 0") 27 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 29 30 # Example 1. Input in operand 0, 31 input0 = {i1: # input 0 32 [8, 8, 8, 8, 4, 8, 8, 8, 8], 33 f1: 34 [2, 2, 2, 2], 35 b1: 36 [4]} 37 # (i1 (conv) f1) + b1 38 output0 = {output: # output 0 39 [15, 15, 15, 15]} 40 41 # Instantiate an example 42 Example((input0, output0)) 43
