//
// 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.

=== Scatter/Gather Operators

==== GATHER

Generate a tensor for which each element in the output is a subtensor of the values tensor based on the indices.
N is the number of batches, W the number of indices in each batch, K the range of each index and C the number data channels for each index.

*Arguments:*

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

|Input|value_t*|values|[N,K,C]|3D value tensor
|Input|index_t*|indices|[N,W]|2D index tensor
|Output|value_t*|output|[N,W,C]|3D output tensor
|===

*Quantization Parameters:*

None

*Operation Function:*

[source,c]
----
for_each(0<=n<N, 0<=w<W, 0<=c<C) {
    index_t k = tensor_read<index_t>(indices, [N,W], [n,w])
    assert(0<=k && k<K)
    value_t value = tensor_read<value_t>(values, [N,K,C], [n, k, c])
    tensor_write<value_t>(output, [N,W,C], [n,w,c])
}
----

*Supported Data Types:*

|===
|Profile|Mode|index_t|value_t

|Any|signed 8|int32|aint8
|Any|signed 16|int32|int16
|Any|signed 32|int32|int32
|MI,MT|float|int32|float
|===