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, 3, 3}")
19f1 = Input("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}")
20b1 = Input("op3", "TENSOR_FLOAT32", "{3}")
21pad0 = Int32Scalar("pad0", 0)
22act = Int32Scalar("act", 0)
23stride = Int32Scalar("stride", 1)
24# output dimension:
25#     (i1.height - f1.height + 1) x (i1.width - f1.width + 1)
26output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 3, 3}")
27
28model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
29
30# Example 1. Input in operand 0,
31input0 = {i1: # input 0
32          [  1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.,
33             10.,  11.,  12.,  13.,  14.,  15.,  16.,  17.,  18.],
34          f1:
35          [ 1.,  4.,  7.,
36            2.,  5.,  8.,
37            3.,  6.,  9.],
38          b1:
39          [0., 0., 0.]}
40
41output0 = {output: # output 0
42           [  30.,   36.,   42.,
43              66.,   81.,   96.,
44              102.,  126.,  150.,
45              138.,  171.,  204.,
46              174.,  216.,  258.,
47              210.,  261.,  312.]
48          }
49
50# Instantiate an example
51Example((input0, output0))
52