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
|
#
# 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.
#
layout = BoolScalar("layout", False) # NHWC
# TEST 1: BATCH_TO_SPACE_NCHW_1, block_size = [2, 2]
i1 = Input("op1", "TENSOR_FLOAT32", "{4, 1, 1, 2}")
o1 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 2}")
Model().Operation("BATCH_TO_SPACE_ND", i1, [2, 2], layout).To(o1)
# Additional data type
quant8 = DataTypeConverter().Identify({
i1: ("TENSOR_QUANT8_ASYMM", 0.1, 0),
o1: ("TENSOR_QUANT8_ASYMM", 0.1, 0)
})
# Instantiate an example
example = Example({
i1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1],
o1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]
}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
# TEST 2: BATCH_TO_SPACE_NCHW_2, block_size = [2, 2]
i2 = Input("op1", "TENSOR_FLOAT32", "{4, 2, 2, 1}")
o2 = Output("op4", "TENSOR_FLOAT32", "{1, 4, 4, 1}")
Model().Operation("BATCH_TO_SPACE_ND", i2, [2, 2], layout).To(o2)
# Additional data type
quant8 = DataTypeConverter().Identify({
i2: ("TENSOR_QUANT8_ASYMM", 0.5, 128),
o2: ("TENSOR_QUANT8_ASYMM", 0.5, 128)
})
# Instantiate an example
example = Example({
i2: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],
o2: [1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16]
}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
|
