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
17# Derived from tensorflow/lite/kernels/activations_test.cc
18
19def test(input0, output0, input_data, beta, axis, output_data):
20  model = Model().Operation("LOG_SOFTMAX", input0, beta, axis).To(output0)
21  Example({
22      input0: input_data,
23      output0: output_data,
24  }, model=model).AddVariations("relaxed", "float16")
25
26test(
27    input0=Input("input0", "TENSOR_FLOAT32", "{1, 1, 1, 2, 4}"),
28    output0=Output("output0", "TENSOR_FLOAT32", "{1, 1, 1, 2, 4}"),
29    input_data=[0, -6, 2, 4,
30                3, -2, 10, 1],
31    beta=1.0,
32    axis=4,
33    output_data=[-4.14297, -10.14297, -2.14297, -.142971,
34                 -7.00104, -12.00104, -.00104087, -9.00104],
35)
36
37test(
38    input0=Input("input0", "TENSOR_FLOAT32", "{1, 1, 1, 4, 2}"),
39    output0=Output("output0", "TENSOR_FLOAT32", "{1, 1, 1, 4, 2}"),
40    input_data=[0, -6,
41                2, 4,
42                3, -2,
43                10, 1],
44    beta=1.0,
45    axis=-1,
46    output_data=[-.00247565, -6.00247,
47                 -2.12692, -.126928,
48                 -.00671534, -5.00671,
49                 -.000123374, -9.00012],
50)
51
52test(
53    input0=Input("input0", "TENSOR_FLOAT32", "{1, 1, 2, 4, 1}"),
54    output0=Output("output0", "TENSOR_FLOAT32", "{1, 1, 2, 4, 1}"),
55    input_data=[0, 2, 3, 10,
56                -6, 4, -2, 1],
57    beta=1.0,
58    axis=-3,
59    output_data=[-.00247565, -2.12692, -.00671534, -.000123374,
60                 -6.00247, -.126928, -5.00671, -9.00012],
61)
62
63test(
64    input0=Input("input0", "TENSOR_FLOAT32", "{1, 1, 1, 2, 4}"),
65    output0=Output("output0", "TENSOR_FLOAT32", "{1, 1, 1, 2, 4}"),
66    input_data=[0, -.6, .2, .4,
67                .3, -.2, 1, .1],
68    beta=10.0,
69    axis=4,
70    output_data=[-4.14297, -10.14297, -2.14297, -.142971,
71                 -7.00104, -12.00104, -.00104087, -9.00104],
72)
73