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 # conv_quant8.mod.py with biases and filter being constants 17 18 model = Model() 19 i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 3, 3, 1}, 0.5f, 0") 20 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0", 21 [2, 2, 2, 2]) 22 b1 = Parameter("op3", "TENSOR_INT32", "{1}, 0.25f, 0", [4]) 23 pad0 = Int32Scalar("pad0", 0) 24 act = Int32Scalar("act", 0) 25 stride = Int32Scalar("stride", 1) 26 # output dimension: 27 # (i1.height - f1.height + 1) x (i1.width - f1.width + 1) 28 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 0") 29 30 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, 31 stride, act).To(output) 32 33 # Example 1. Input in operand 0, 34 input0 = { 35 i1: # input 0 36 [8, 8, 8, 8, 4, 8, 8, 8, 8] 37 } 38 # (i1 (conv) f1) + b1 39 output0 = { 40 output: # output 0 41 [15, 15, 15, 15] 42 } 43 44 # Instantiate an example 45 Example((input0, output0)) 46
