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
|
#
# Copyright (c) 2019 Samsung Electronics Co., Ltd.
# Copyright (C) 2017 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.
#
model = Model()
in0 = Input("op1", "TENSOR_FLOAT32", "{3, 1}")
weights = Input("op2", "TENSOR_FLOAT32", "{1, 1}")
bias = Input("b0", "TENSOR_FLOAT32", "{1}")
out0 = Output("op3", "TENSOR_FLOAT32", "{3, 1}")
act = Int32Scalar("act", 0)
model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
# Example 1. Input in operand 0,
input0 = {in0: # input 0
[2, 32, 16],
weights: [2],
bias: [4]}
output0 = {out0: # output 0
[8, 68, 36]}
# Instantiate an example
Example((input0, output0))
# Example 2. Input in operand 0,
input1 = {in0: # input 0
[2, 32, 16],
weights: [4],
bias: [4]}
output1 = {out0: # output 0
[12, 132, 68]}
Example((input1, output1))
# Example 3. Input in operand 0,
input2 = {in0: # input 0
[2, 32, 16],
weights: [10],
bias: [4]}
output2 = {out0: # output 0
[24, 324, 164]}
# Instantiate an example
Example((input2, output2))
|
