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, 3, 3}, 0.5, 0") 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0") 20 b1 = Input("op3", "TENSOR_INT32", "{3}, 0.25, 0") 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 0") 25 26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 27 28 # Example 1. Input in operand 0, 29 input0 = {i1: # input 0 30 [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 31 10, 11, 12, 13, 14, 15, 16, 17, 18], 32 f1: 33 [ 1, 4, 7, 34 2, 5, 8, 35 3, 6, 9], 36 b1: 37 [0, 0, 0]} 38 39 output0 = {output: # output 0 40 [ 8, 9, 11, 41 17, 21, 24, 42 26, 32, 38, 43 35, 43, 51, 44 44, 54, 65, 45 53, 66, 78] 46 } 47 48 # Instantiate an example 49 Example((input0, output0)) 50
