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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.
=== 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 selector tensor
|Input|in_t*|input2|shape2|Input value tensor if input1 is True
|Input|in_t*|input3|shape3|Input value tensor if input1 is False
|Output|in_t*|output|shape|Output tensor of same type as input2 and input3, 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);
in_t acc = 0;
if (value1 == True) {
acc = value2;
} else {
acc = value3;
}
tensor_write<in_t>(output, shape, index, acc);
}
----
*Supported Data Types:*
|===
|Profile|Mode|bool_t|in_t
|Any|Boolean|bool_t|bool_t
|Any|signed 8|bool_t|int8_t
|Any|signed 16|bool_t|int16_t
|Any|signed 32|bool_t|int32_t
|MI, MT|floating-point|bool_t|float_t
|===
|