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//
// This confidential and proprietary software may be used only as
// authorised by a licensing agreement from ARM Limited
// (C) COPYRIGHT 2020-2021 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 = (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|floating-point|float_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 = (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|floating-point|float_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 = (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|floating-point|float_t|bool_t
|===
|
