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_FLOAT32", "{1, 2, 2, 3}") 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}") 20 21 # Color wize (channel-wise) normalization 22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) 23 24 # Example 1. Input in operand 0, 25 input0 = {i1: # input 0 - 4 color, 3 channels 26 [0, 3, 4, # 5 27 0, 5, 12, # 13, 28 0, 8, 15, # 17, 29 0, 7, 24]} # 25 30 31 output0 = {i2: # output 0 32 [0, .6, .8, 33 0, 0.38461539149284363, 0.92307698726654053, 34 0, 0.47058823704719543, 0.88235294818878174, 35 0, 0.28, 0.96]} 36 37 # Instantiate an example 38 Example((input0, output0)) 39
