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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.
=== Reduction Operators
==== REDUCE_ALL
Reduce a tensor along the given axis with a logical AND operation
*Arguments:*
|===
|Argument|Type|Name|Shape|Description
|Input|in_t*|input|in_shape|Input tensor with rank from 1 to 4
|Attribute|int|axis|-|Axis to reduce
|Output|out_t*|output|out_shape|Output tensor. Same rank as the input tensor.
|===
*Operation Function:*
[source,c]
----
assert(0<=axis && axis<rank(in_shape))
assert(out_shape[axis]==1)
for_each (index in out_shape) {
tensor_write<in_t>(output, out_shape, index, true)
}
for_each (index in in_shape) {
tmp_index = index;
tmp_index[axis]=0;
value = tensor_read<in_t>(input, in_shape, index)
acc = tensor_read<in_t>(output, out_shape, tmp_index)
acc = acc && value
tensor_write<in_t>(output, out_shape, tmp_index, acc)
}
----
*Supported Data Types:*
|===
|Profile|Mode|in_t|out_t
|Any|Boolean|bool|bool
|===
==== REDUCE_ANY
Reduce a tensor along the given axis with a logical OR operation
*Arguments:*
|===
|Argument|Type|Name|Shape|Description
|Input|in_t*|input|in_shape|Input tensor with rank from 1 to 4
|Attribute|int|axis|-|Axis to reduce
|Output|out_t*|output|out_shape|Output tensor. Same rank as the input tensor.
|===
*Operation Function:*
[source,c]
----
assert(0<=axis && axis<rank(in_shape))
assert(out_shape[axis]==1)
for_each (index in out_shape) {
tensor_write<in_t>(output, out_shape, index, false)
}
for_each (index in in_shape) {
tmp_index = index;
tmp_index[axis]=0;
value = tensor_read<in_t>(input, in_shape, index)
acc = tensor_read<in_t>(output, out_shape, tmp_index)
acc = acc || value
tensor_write<in_t>(output, out_shape, tmp_index, acc)
}
----
*Supported Data Types:*
|===
|Profile|Mode|in_t|out_t
|Any|Boolean|bool|bool
|===
==== REDUCE_MAX
Reduce a tensor along the given axis with a maximum operation
*Arguments:*
|===
|Argument|Type|Name|Shape|Description
|Input|in_t*|input|in_shape|Input tensor with rank from 1 to 4
|Attribute|int|axis|-|Axis to reduce
|Output|out_t*|output|out_shape|Output tensor. Same rank as the input tensor.
|===
*Operation Function:*
[source,c]
----
assert(0<=axis && axis<rank(in_shape))
assert(out_shape[axis]==1)
for_each (index in out_shape) {
tensor_write<in_t>(output, out_shape, index, minimum<in_t>)
}
for_each (index in in_shape) {
tmp_index = index;
tmp_index[axis]=0;
value = tensor_read<in_t>(input, in_shape, index)
acc = tensor_read<in_t>(output, out_shape, tmp_index)
acc = apply_max<in_t>(acc, value)
tensor_write<in_t>(output, out_shape, tmp_index, acc)
}
----
*Supported Data Types:*
|===
|Profile|Mode|in_t|out_t
|Any|signed 8|int8|int8
|Any|signed 16|int16|int16
|Any|signed 32|int32|int32
|MI, MT|float|float|float
|===
==== REDUCE_MIN
Reduce a tensor along the given axis with a minimum operation
*Arguments:*
|===
|Argument|Type|Name|Shape|Description
|Input|in_t*|input|in_shape|Input tensor with rank from 1 to 4
|Attribute|int|axis|-|Axis to reduce
|Output|out_t*|output|out_shape|Output tensor. Same rank as the input tensor.
|===
*Quantization Parameters:*
Quantization is ignored when doing the REDUCE_MIN operation. The input and output must maintain the same parameters.
*Operation Function:*
[source,c]
----
assert(0<=axis && axis<rank(in_shape))
assert(out_shape[axis]==1)
for_each (index in out_shape) {
tensor_write<in_t>(output, out_shape, index, maximum<in_t>)
}
for_each (index in in_shape) {
tmp_index = index;
tmp_index[axis]=0;
value = tensor_read<in_t>(input, in_shape, index)
acc = tensor_read<in_t>(output, out_shape, tmp_index)
acc = apply_min<in_t>(acc, value)
tensor_write<in_t>(output, out_shape, tmp_index, acc)
}
----
*Supported Data Types:*
|===
|Profile|Mode|in_t|out_t
|Any|signed 8|int8|int8
|Any|signed 16|int16|int16
|Any|signed 32|int32|int32
|MI, MT|float|float|float
|===
==== REDUCE_PRODUCT
Reduce a tensor along the given axis by computing the product of the axis.
*Arguments:*
|===
|Argument|Type|Name|Shape|Description
|Input|in_t*|input|in_shape|Input tensor with rank from 1 to 4
|Attribute|int|axis|-|Axis to reduce
|Output|out_t*|output|out_shape|Output tensor. Same rank as the input tensor.
|===
*Operation Function:*
[source,c]
----
assert(0<=axis && axis<rank(in_shape))
assert(out_shape[axis]==1)
for_each (index in out_shape) {
tensor_write<in_t>(output, out_shape, index, 1.0)
}
for_each (index in in_shape) {
tmp_index = index;
tmp_index[axis]=0;
value = tensor_read<in_t>(input, in_shape, index)
acc = tensor_read<in_t>(output, out_shape, tmp_index)
acc = acc * value
tensor_write<in_t>(output, out_shape, tmp_index, acc)
}
----
*Supported Data Types:*
|===
|Profile|Mode|in_t|out_t
|MI, MT|float|float|float
|===
==== REDUCE_SUM
Reduce a tensor along the given axis by computing the sum of the axis.
*Arguments:*
|===
|Argument|Type|Name|Shape|Description
|Input|in_t*|input|in_shape|Input tensor with rank from 1 to 4
|Attribute|int|axis|-|Axis to reduce
|Output|out_t*|output|out_shape|Output tensor. Same rank as the input tensor.
|===
*Operation Function:*
[source,c]
----
assert(0<=axis && axis<rank(in_shape))
assert(out_shape[axis]==1)
for_each (index in out_shape) {
tensor_write<in_t>(output, out_shape, index, 0)
}
for_each (index in in_shape) {
tmp_index = index;
tmp_index[axis]=0;
value = tensor_read<in_t>(input, in_shape, index)
acc = tensor_read<in_t>(output, out_shape, tmp_index)
acc = apply_add<in_t>(acc, value)
tensor_write<in_t>(output, out_shape, tmp_index, acc)
}
----
*Supported Data Types:*
|===
|Profile|Mode|in_t|out_t
|Any|signed 32|int32|int32
|MI, MT|float|float|float
|===
|
