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_MIN", input0, axes, keep_dims).To(output0)
19  quant8 = DataTypeConverter().Identify({
20      input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
21      output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
22  })
23  Example({
24      input0: input_data,
25      output0: output_data,
26  }, model=model).AddVariations("relaxed", "float16", quant8)
27
28test(
29    input0=Input("input0", "TENSOR_FLOAT32", "{3, 2}"),
30    input_data=[-1, -2,
31                3, 4,
32                5, -6],
33    axes=[-1],
34    keep_dims=False,
35    output0=Output("output0", "TENSOR_FLOAT32", "{3}"),
36    output_data=[-2, 3, -6],
37)
38
39# Tests below were adapted from tensorflow/lite/kernels/reduce_test.cc
40
41test(
42    input0=Input("input0", "TENSOR_FLOAT32", "{1}"),
43    input_data=[9.527],
44    axes=[0],
45    keep_dims=True,
46    output0=Output("output0", "TENSOR_FLOAT32", "{1}"),
47    output_data=[9.527],
48)
49
50test(
51    input0=Input("input0", "TENSOR_FLOAT32", "{4, 3, 2}"),
52    input_data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8,
53                0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6,
54                1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4],
55    axes=[1, 0, -3, -3],
56    keep_dims=False,
57    output0=Output("output0", "TENSOR_FLOAT32", "{2}"),
58    output_data=[0.1, 0.2],
59)
60
61test(
62    input0=Input("input0", "TENSOR_FLOAT32", "{4, 3, 2}"),
63    input_data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8,
64                0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6,
65                1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4],
66    axes=[0, 2],
67    keep_dims=True,
68    output0=Output("output0", "TENSOR_FLOAT32", "{1, 3, 1}"),
69    output_data=[0.1, 0.3, 0.5],
70)
71