//
// 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

*Arguments:*

|===
|Argument|Type|Name|Shape|Description

|Input|in_t*|input1|shape1|Input tensor
|Input|in_t*|input2|shape2|Input tensor with the same rank as input1
|Output|out_t*|output|shape|Output tensor with broadcast shape if necessary
|===

*Operation Function:*

[source,c++]
----
for_each(index in shape) {
    index1 = apply_broadcast(shape, shape1, index);
    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);
}
----

*Supported Data Types:*

|===
|Profile|Mode|in_t|out_t

|Any|signed 32|int32_t|bool_t
|MI, MT|fp16|fp16_t|bool_t
|MI, MT|bf16|bf16_t|bool_t
|MI, MT|fp32|fp32_t|bool_t
|===

==== GREATER

Elementwise greater than comparison operation

*Arguments:*

|===
|Argument|Type|Name|Shape|Description

|Input|in_t*|input1|shape1|Input tensor
|Input|in_t*|input2|shape2|Input tensor with the same rank as input1
|Output|out_t*|output|shape|Output tensor with broadcast shape if necessary
|===

*Operation Function:*

[source,c++]
----
for_each(index in shape) {
    index1 = apply_broadcast(shape, shape1, index);
    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);
}
----

*Supported Data Types:*
|===
|Profile|Mode|in_t|out_t

|Any|signed 32|int32_t|bool_t
|MI, MT|fp16|fp16_t|bool_t
|MI, MT|bf16|bf16_t|bool_t
|MI, MT|fp32|fp32_t|bool_t
|===

==== GREATER_EQUAL

Elementwise comparison operation

*Arguments:*

|===
|Argument|Type|Name|Shape|Description

|Input|in_t*|input1|shape1|Input tensor
|Input|in_t*|input2|shape2|Input tensor with the same rank as input1
|Output|out_t*|output|shape|Output tensor with broadcast shape if necessary
|===

*Operation Function:*

[source,c++]
----
for_each(index in shape) {
    index1 = apply_broadcast(shape, shape1, index);
    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);
}
----

*Supported Data Types:*

|===
|Profile|Mode|in_t|out_t

|Any|signed 32|int32_t|bool_t
|MI, MT|fp16|fp16_t|bool_t
|MI, MT|bf16|bf16_t|bool_t
|MI, MT|fp32|fp32_t|bool_t
|===