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
17def test(input0, output0, axes, keep_dims, input_data, output_data):
18  model = Model().Operation("REDUCE_SUM", input0, axes, keep_dims).To(output0)
19  Example({
20      input0: input_data,
21      output0: output_data,
22  }, model=model).AddVariations("relaxed", "float16")
23
24test(
25    input0=Input("input0", "TENSOR_FLOAT32", "{3, 2}"),
26    input_data=[-1, -2,
27                3, 4,
28                5, -6],
29    axes=[-1],
30    keep_dims=False,
31    output0=Output("output0", "TENSOR_FLOAT32", "{3}"),
32    output_data=[-1 - 2, 3 + 4, 5 - 6],
33)
34
35# Tests below were adapted from tensorflow/lite/kernels/reduce_test.cc
36
37test(
38    input0=Input("input0", "TENSOR_FLOAT32", "{1}"),
39    input_data=[9.527],
40    axes=[0],
41    keep_dims=True,
42    output0=Output("output0", "TENSOR_FLOAT32", "{1}"),
43    output_data=[9.527],
44)
45
46test(
47    input0=Input("input0", "TENSOR_FLOAT32", "{4, 3, 2}"),
48    input_data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8,
49                0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6,
50                1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4],
51    axes=[1, 0, -3, -3],
52    keep_dims=False,
53    output0=Output("output0", "TENSOR_FLOAT32", "{2}"),
54    output_data=[14.4, 15.6],
55)
56
57test(
58    input0=Input("input0", "TENSOR_FLOAT32", "{4, 3, 2}"),
59    input_data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8,
60                0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6,
61                1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4],
62    axes=[0, 2],
63    keep_dims=True,
64    output0=Output("output0", "TENSOR_FLOAT32", "{1, 3, 1}"),
65    output_data=[8.4, 10.0, 11.6],
66)
67