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
17model = Model()
18i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 3}") # depth_in = 3
19f1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}") # depth_out = 4
20b1 = Input("op3", "TENSOR_FLOAT32", "{4}") # depth_out = 4
21pad0 = Int32Scalar("pad0", 0)
22act = Int32Scalar("act", 0)
23stride = Int32Scalar("stride", 1)
24cm = Int32Scalar("channelMultiplier", 1)
25output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 4}")
26
27model = model.Operation("DEPTHWISE_CONV_2D",
28                        i1, f1, b1,
29                        pad0, pad0, pad0, pad0,
30                        stride, stride,
31                        cm, act).To(output)
32
33# Example 1. Input in operand 0,
34input0 = {
35    i1: [ # input 0
36     10, 21, 100,
37     10, 22, 200,
38     10, 23, 300,
39     10, 24, 400],
40    f1: [
41     .25, 0, 10, 100,
42     .25, 1, 20, 100,
43     .25, 0, 30, 100,
44     .25, 1, 40, 100],
45    b1:
46    [600000, 700000, 800000, 900000]
47  }
48# (i1 (conv) f1) + b1
49output0 = {output: # output 0
50           [600010, 700046, 830000, 900000]}
51
52# Instantiate an example
53Example((input0, output0))
54