chapters/comparison.adoc

//
// 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++]
----
ERROR_IF(shape != broadcast_shape(shape1, shape2));
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++]
----
ERROR_IF(shape != broadcast_shape(shape1, shape2));
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++]
----
ERROR_IF(shape != broadcast_shape(shape1, shape2));
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);
}
----