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, 3, 3}, 0.5, 0")
19f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0", [10, 40, 70, 20, 50, 80, 30, 60, 90])
20b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0])
21pad0 = Int32Scalar("pad0", 0)
22act = Int32Scalar("act", 0)
23stride = Int32Scalar("stride", 1)
24output = Output("op4",  "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 0")
25
26model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
27
28# Example 1. Input in operand 0,
29input0 = {i1: # input 0
30          [  1,   2,   3,   4,   5,   6,   7,   8,   9,
31            10,  11,  12,  13,  14,  15,  16,  17,  18]}
32
33output0 = {output: # output 0
34           [  75,  90,  105,
35              165, 203, 240,
36              255, 255, 255,
37              255, 255, 255,
38              255, 255, 255,
39              255, 255, 255]
40          }
41
42# Instantiate an example
43Example((input0, output0))
44