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 model = Model() 17 i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 3, 6, 1}, 0.5f, 127") 18 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 127", 19 [129, 131, 133, 135]) 20 b1 = Parameter("op3", "TENSOR_INT32", "{1}, 0.25f, 0", [-4]) 21 pad_valid = Int32Scalar("pad_valid", 2) 22 act_none = Int32Scalar("act_none", 0) 23 stride1 = Int32Scalar("stride1", 1) 24 stride3 = Int32Scalar("stride3", 3) 25 26 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 127") 27 28 model = model.Operation("CONV_2D", i1, f1, b1, pad_valid, stride3, 29 stride1, act_none).To(output) 30 31 # Example 1. Input in operand 0, 32 input0 = { 33 i1: # input 0 34 [133, 131, 129, 125, 123, 121, 35 135, 133, 131, 123, 121, 119, 36 137, 135, 133, 121, 119, 117] 37 } 38 39 output0 = { 40 output: # output 0 41 [157, 103, 167, 93] 42 } 43 44 # Instantiate an example 45 Example((input0, output0)) 46
