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, 3, 2, 2}")
19f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [1, 2, 3, 4, -9, 10, -11, 12, 5, 6, 7, 8, 13, -14, 15, -16])
20b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4])
21pad_valid = Int32Scalar("pad_valid", 2)
22act_none = Int32Scalar("act_none", 0)
23stride = Int32Scalar("stride", 1)
24cm = Int32Scalar("channelMultiplier", 2)
25output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 1, 4}")
26
27model = model.Operation("DEPTHWISE_CONV_2D",
28                        i1, f1, b1,
29                        pad_valid,
30                        stride, stride,
31                        cm, act_none).To(output)
32model = model.RelaxedExecution(True)
33
34# Example 1. Input in operand 0,
35input0 = {i1: # input 0
36          [1, 2, 7, 8,
37           3, 4, 9, 10,
38           5, 6, 11, 12]}
39# (i1 (depthconv) f1)
40output0 = {output: # output 0
41           [71, -34, 99, -20,
42            91, -26, 127, -4]}
43
44# Instantiate an example
45Example((input0, output0))
46