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
17model = Model()
18i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 3}")
19i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}")
20
21# Color wize (channel-wise) normalization
22model = model.Operation("L2_NORMALIZATION", i1).To(i2)
23model = model.RelaxedExecution(True)
24
25# Example 1. Input in operand 0,
26input0 = {i1: # input 0 - 4 color, 3 channels
27          [0, 3,  4, # 5
28           0, 5, 12, # 13,
29           0, 8, 15, # 17,
30           0, 7, 24]} # 25
31
32output0 = {i2: # output 0
33           [0, .6, .8,
34            0, 0.38461539149284363, 0.92307698726654053,
35            0, 0.47058823704719543, 0.88235294818878174,
36            0, 0.28, 0.96]}
37
38# Instantiate an example
39Example((input0, output0))
40