1#
2# Copyright (C) 2021 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
17from itertools import chain
18
19def test(name, axis_value, input_tensor, output_tensor, input_data, output_data):
20    model = Model().Operation("REVERSE", input_tensor, [axis_value]).To(output_tensor)
21    quant8_asymm_type = ("TENSOR_QUANT8_ASYMM", 0.5, 4)
22    quant8_asymm = DataTypeConverter(name="quant8_asymm").Identify({
23        input_tensor: quant8_asymm_type,
24        output_tensor: quant8_asymm_type,
25        })
26    quant8_asymm_signed_type = ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, -9)
27    quant8_asymm_signed = DataTypeConverter(name="quant8_asymm_signed").Identify({
28        input_tensor: quant8_asymm_signed_type,
29        output_tensor: quant8_asymm_signed_type,
30        })
31    Example({
32        input_tensor: input_data,
33        output_tensor: output_data,
34        }, model=model, name=name).AddVariations("float16", quant8_asymm, quant8_asymm_signed, "int32")
35
36def rrange(hi, lo):
37    return range(hi, lo, -1)
38
39test(
40    name="dim1",
41    axis_value=0,
42    input_tensor=Input("in", ("TENSOR_FLOAT32", [3])),
43    output_tensor=Output("out", ("TENSOR_FLOAT32", [3])),
44    input_data=[6, 7, 8],
45    output_data=[8, 7, 6],
46    )
47
48test(
49    name="dim3_axis0",
50    axis_value=0,
51    input_tensor=Input("in", ("TENSOR_FLOAT32", [2,3,4])),
52    output_tensor=Output("out", ("TENSOR_FLOAT32", [2,3,4])),
53    input_data = list(range(24)),
54    output_data = list(chain(range(12,24), range(0,12))),
55    )
56
57test(
58    name="dim3_axis1",
59    axis_value=1,
60    input_tensor=Input("in", ("TENSOR_FLOAT32", [2,3,4])),
61    output_tensor=Output("out", ("TENSOR_FLOAT32", [2,3,4])),
62    input_data = list(range(24)),
63    output_data = list(chain(range(8,12), range(4,8), range(0,4),
64                             range(20,24), range(16,20), range(12,16))),
65    )
66
67test(
68    name="dim3_axis2",
69    axis_value=2,
70    input_tensor=Input("in", ("TENSOR_FLOAT32", [2,3,4])),
71    output_tensor=Output("out", ("TENSOR_FLOAT32", [2,3,4])),
72    input_data = list(range(24)),
73    output_data = list(chain(rrange(3,-1), rrange(7,3), rrange(11,7),
74                             rrange(15,11), rrange(19,15), rrange(23,19)))
75    )
76