aboutsummaryrefslogtreecommitdiff
path: root/chapters/comparison.adoc
blob: f4da3615e3d852559f832db25fc1f582b4c37648 (plain)
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
//
// This confidential and proprietary software may be used only as
// authorised by a licensing agreement from ARM Limited
// (C) COPYRIGHT 2020-2022 ARM Limited
// ALL RIGHTS RESERVED
// The entire notice above must be reproduced on all authorised
// copies and copies may only be made to the extent permitted
// by a licensing agreement from ARM Limited.

=== Comparison Operators

==== EQUAL

Elementwise comparison operation

include::{generated}/operators/EQUAL.adoc[]

[source,c++]
----
for_each(index in shape) {
    dim_t index1 = apply_broadcast(shape, shape1, index);
    dim_t index2 = apply_broadcast(shape, shape2, index);
    in_t value1 = tensor_read<in_t>(input1, shape1, index1);
    in_t value2 = tensor_read<in_t>(input2, shape2, index2);
    out_t result;
    if (isNaN(value1) || isNaN(value2))
        result = False;
    else
        result = (value1 == value2) ? True : False;
    tensor_write<out_t>(output, shape, index, result);
}
----

==== GREATER

Elementwise greater than comparison operation

include::{generated}/operators/GREATER.adoc[]

[source,c++]
----
for_each(index in shape) {
    dim_t index1 = apply_broadcast(shape, shape1, index);
    dim_t index2 = apply_broadcast(shape, shape2, index);
    in_t value1 = tensor_read<in_t>(input1, shape1, index1);
    in_t value2 = tensor_read<in_t>(input2, shape2, index2);
    out_t result;
    if (isNaN(value1) || isNaN(value2))
        result = False;
    else
        result = (value1 > value2) ? True : False;
    tensor_write<out_t>(output, shape, index, result);
}
----

==== GREATER_EQUAL

Elementwise comparison operation

include::{generated}/operators/GREATER_EQUAL.adoc[]

[source,c++]
----
for_each(index in shape) {
    dim_t index1 = apply_broadcast(shape, shape1, index);
    dim_t index2 = apply_broadcast(shape, shape2, index);
    in_t value1 = tensor_read<in_t>(input1, shape1, index1);
    in_t value2 = tensor_read<in_t>(input2, shape2, index2);
    out_t result;
    if (isNaN(value1) || isNaN(value2))
        result = False;
    else
        result = (value1 >= value2) ? True : False;
    tensor_write<out_t>(output, shape, index, result);
}
----