1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
|
#
# Copyright (C) 2018 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# TEST 1: PRELU
i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 3}")
a1 = Parameter("alpha", "TENSOR_FLOAT32", "{1, 1, 3}", [0, 1, 2])
o1 = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 3}")
Model().Operation("PRELU", i1, a1).To(o1)
# output.scale > input.scale && output.scale > input.scale * alpha.scale
quant8_gt = DataTypeConverter().Identify({
i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
a1: ("TENSOR_QUANT8_ASYMM", 0.25, 50),
o1: ("TENSOR_QUANT8_ASYMM", 0.5, 120)
})
# output.scale == input.scale
quant8_eq1 = DataTypeConverter().Identify({
i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
a1: ("TENSOR_QUANT8_ASYMM", 0.25, 50),
o1: ("TENSOR_QUANT8_ASYMM", 0.25, 120)
})
# output.scale == input.scale * alpha.scale
quant8_eq2 = DataTypeConverter().Identify({
i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
a1: ("TENSOR_QUANT8_ASYMM", 0.5, 50),
o1: ("TENSOR_QUANT8_ASYMM", 0.125, 120)
})
# output.scale < input.scale && output.scale < input.scale * alpha.scale
quant8_lt = DataTypeConverter().Identify({
i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
a1: ("TENSOR_QUANT8_ASYMM", 0.5, 50),
o1: ("TENSOR_QUANT8_ASYMM", 0.1, 120)
})
# Instantiate an example
Example({
i1: [ 0, 0, 0,
1, 1, 1,
-1, -1, -1,
-2, -2, -2],
o1: [ 0, 0, 0,
1, 1, 1,
0, -1, -2,
0, -2, -4]
}).AddInput(a1).AddVariations("relaxed", quant8_gt, quant8_eq1, quant8_eq2, quant8_lt, "float16")
|
