//
// This confidential and proprietary software may be used only as
// authorised by a licensing agreement from ARM Limited
// (C) COPYRIGHT 2020 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.

=== Elementwise Ternary Operators

==== SELECT

Elementwise select of the output based on a condition.

*Arguments:*

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

|Input|bool_t|input1|shape1|
|Input|in_t*|input2|shape2|Input tensor from 1 to 4 dims
|Input|in_t*|input3|shape3|Input tensor with the same rank as Input 0
|Output|out_t*|output|shape|Output tensor of same type, as the input tensors, with broadcast shape if necessary
|===

*Quantization Parameters:*

None

*Operation Function:*

[source,c]
----
for_each (index in shape) {
    index1 = apply_broadcast(shape, shape1, index)
    index2 = apply_broadcast(shape, shape2, index)
    index3 = apply_broadcast(shape, shpae3, index)
    bool_t value1 = tensor_read<in_t>(input1, shape1, index1)
    in_t value2 = tensor_read<in_t>(input2, shape2, index2)
    in_t value3 = tensor_read<in_t>(input3, shape3, index3)
    if (value1 == True){
         in_t acc = value2
    } else {
         in_t acc = value3
    }
    tensor_write<out_t>(output, shape, index, acc)
}
----

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

|Any|Boolean|bool|bool|bool
|Any|signed 8|bool|aint8/int8|aint8/int8
|Any|signed 16|bool|int16|int16
|Any|signed 32|bool|int32|int32
|MI, MT|float|bool|float|float
|===
