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, 2}") # depth_in = 2
19f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}", [.25, 0, .25, 1, .25, 0, .25, 1]) # depth_out = 2
20b1 = Parameter("op3", "TENSOR_FLOAT32", "{2}", [100, 200]) # depth_out = 2
21pad0 = Int32Scalar("pad0", 0)
22act = Int32Scalar("act", 0)
23stride = Int32Scalar("stride", 1)
24cm = Int32Scalar("channelMultiplier", 1)
25output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 2}")
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, 10, 22,
37     10, 23, 10, 24],
38  }
39# (i1 (conv) f1) + b1
40output0 = {output: # output 0
41           [110, 246]}
42
43# Instantiate an example
44Example((input0, output0))
45