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#
16def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True):
17  model = Model().Operation("LESS", input0, input1).To(output0)
18  example = Example({
19      input0: input0_data,
20      input1: input1_data,
21      output0: output_data,
22  }, model=model, name=name)
23  if do_variations:
24      example.AddVariations("int32", "float16", "relaxed")
25
26test(
27    name="simple",
28    input0=Input("input0", "TENSOR_FLOAT32", "{3}"),
29    input1=Input("input1", "TENSOR_FLOAT32", "{3}"),
30    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
31    input0_data=[5, 7, 10],
32    input1_data=[10, 7, 5],
33    output_data=[True, False, False],
34)
35
36test(
37    name="broadcast",
38    input0=Input("input0", "TENSOR_FLOAT32", "{2, 1}"),
39    input1=Input("input1", "TENSOR_FLOAT32", "{2}"),
40    output0=Output("output0", "TENSOR_BOOL8", "{2, 2}"),
41    input0_data=[5, 10],
42    input1_data=[10, 5],
43    output_data=[True, False, False, False],
44)
45
46test(
47    name="quantized_different_scale",
48    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [3], 1.0, 128)),
49    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 2.0, 128)),
50    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
51    input0_data=[129, 130, 131], # effectively 1, 2, 3
52    input1_data=[129],           # effectively 2
53    output_data=[True, False, False],
54    do_variations=False,
55)
56
57test(
58    name="quantized_different_zero_point",
59    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [3], 1.0, 128)),
60    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.0, 129)),
61    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
62    input0_data=[129, 130, 131], # effectively 1, 2, 3
63    input1_data=[131],           # effectively 2
64    output_data=[True, False, False],
65    do_variations=False,
66)
67
68test(
69    name="quantized_overflow_second_input_if_requantized",
70    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [1], 1.64771, 31)),
71    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.49725, 240)),
72    output0=Output("output0", "TENSOR_BOOL8", "{1}"),
73    input0_data=[0],
74    input1_data=[200],
75    output_data=[False],
76    do_variations=False,
77)
78
79test(
80    name="quantized_overflow_first_input_if_requantized",
81    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [1], 1.49725, 240)),
82    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.64771, 31)),
83    output0=Output("output0", "TENSOR_BOOL8", "{1}"),
84    input0_data=[200],
85    input1_data=[0],
86    output_data=[True],
87    do_variations=False,
88)
89
90test(
91    name="boolean",
92    input0=Input("input0", "TENSOR_BOOL8", "{4}"),
93    input1=Input("input1", "TENSOR_BOOL8", "{4}"),
94    output0=Output("output0", "TENSOR_BOOL8", "{4}"),
95    input0_data=[False, True, False, True],
96    input1_data=[False, False, True, True],
97    output_data=[False, False, True, False],
98    do_variations=False,
99)
100