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
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
|
#
# Copyright (C) 2019 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.
#
input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{6}, 1.0, -128")
axis = Int32Scalar("axis", 0)
num_splits = Int32Scalar("num_splits", 3)
output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128")
output1 = Output("output1", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128")
output2 = Output("output2", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128")
model = Model().Operation("SPLIT", input0, axis, num_splits).To(
(output0, output1, output2))
# Example 1.
input_dict = {input0: [-127, -126, -125, -124, -123, -122]}
output_dict = {
output0: [-127, -126],
output1: [-125, -124],
output2: [-123, -122],
}
# Instantiate an example
Example((input_dict, output_dict)).AddRelaxed()
#######################################################
input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 2.0, -125")
axis = Int32Scalar("axis", 0)
num_splits = Int32Scalar("num_splits", 2)
output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3}, 2.0, -125")
output1 = Output("output1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3}, 2.0, -125")
model = Model().Operation("SPLIT", input0, axis, num_splits).To(
(output0, output1))
# Example 1.
input_dict = {input0: [-127, -126, -125, -124, -123, -122]}
output_dict = {
output0: [-127, -126, -125],
output1: [-124, -123, -122],
}
# Instantiate an example
Example((input_dict, output_dict)).AddRelaxed()
#######################################################
input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 2.0, -125")
axis = Int32Scalar("axis", 1)
num_splits = Int32Scalar("num_splits", 3)
output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 1}, 2.0, -125")
output1 = Output("output1", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 1}, 2.0, -125")
output2 = Output("output2", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 1}, 2.0, -125")
model = Model().Operation("SPLIT", input0, axis, num_splits).To(
(output0, output1, output2))
# Example 1.
input_dict = {input0: [-127, -126, -125, -124, -123, -122]}
output_dict = {
output0: [-127, -124],
output1: [-126, -123],
output2: [-125, -122],
}
# Instantiate an example
Example((input_dict, output_dict))
#######################################################
input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 2, 2}, 1.0, -128")
axis = Int32Scalar("axis", 1)
num_splits = Int32Scalar("num_splits", 2)
output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED",
"{2, 1, 2}, 1.0, -128")
output1 = Output("output1", "TENSOR_QUANT8_ASYMM_SIGNED",
"{2, 1, 2}, 1.0, -128")
model = Model().Operation("SPLIT", input0, axis, num_splits).To(
(output0, output1))
# Example 1.
input_dict = {input0: [-127, -126, -125, -124, -123, -122, -121, -120]}
output_dict = {
output0: [-127, -126, -123, -122],
output1: [-125, -124, -121, -120],
}
# Instantiate an example
Example((input_dict, output_dict))
|
