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_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0")
19f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0")
20b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0")
21pad0 = Int32Scalar("pad0", 0)
22act = Int32Scalar("act", 0)
23stride = Int32Scalar("stride", 1)
24cm = Int32Scalar("channelMultiplier", 1)
25output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 2}, 1.f, 0")
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 = {i1: # input 0
35          [4, 16, 4, 32, 4, 64, 4, 128],
36          f1:
37          [2, 4,  2, 0,  2, 2,  2, 0],
38          b1:
39          [0, 0]}
40# (i1 (depthconv) f1)
41output0 = {output: # output 0
42           [8, 48]}
43
44# Instantiate an example
45Example((input0, output0))
46