// // 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|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 |Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* [source,c] ---- ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { tensor_write(output, shape, index, true); } for_each(index in shape1) { tmp_index = index; tmp_index[axis]=0; value = tensor_read(input, shape1, index); acc = tensor_read(output, shape, tmp_index); acc = acc && value; tensor_write(output, shape, tmp_index, acc); } ---- *Supported Data Types:* |=== |Profile|Mode|in_t |Any|Boolean|bool_t |=== ==== REDUCE_ANY Reduce a tensor along the given axis with a logical OR operation *Arguments:* |=== |Argument|Type|Name|Shape|Description |Input|in_t*|input|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 |Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* [source,c] ---- ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { tensor_write(output, shape, index, false); } for_each(index in shape1) { tmp_index = index; tmp_index[axis]=0; value = tensor_read(input, shape1, index); acc = tensor_read(output, shape, tmp_index); acc = acc || value; tensor_write(output, shape, tmp_index, acc); } ---- *Supported Data Types:* |=== |Profile|Mode|in_t |Any|Boolean|bool_t |=== ==== REDUCE_MAX Reduce a tensor along the given axis with a maximum operation *Arguments:* |=== |Argument|Type|Name|Shape|Description |Input|in_t*|input|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 |Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* [source,c] ---- ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { tensor_write(output, shape, index, minimum); } for_each(index in shape1) { tmp_index = index; tmp_index[axis]=0; value = tensor_read(input, shape1, index); acc = tensor_read(output, shape, tmp_index); acc = apply_max(acc, value); tensor_write(output, shape, tmp_index, acc); } ---- *Supported Data Types:* |=== |Profile|Mode|in_t |Any|signed 8|int8_t |Any|signed 16|int16_t |Any|signed 32|int32_t |MI, MT|floating-point|float_t |=== ==== REDUCE_MIN Reduce a tensor along the given axis with a minimum operation *Arguments:* |=== |Argument|Type|Name|Shape|Description |Input|in_t*|input|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 |Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* [source,c] ---- ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { tensor_write(output, shape, index, maximum); } for_each(index in shape1) { tmp_index = index; tmp_index[axis]=0; value = tensor_read(input, shape1, index); acc = tensor_read(output, shape, tmp_index); acc = apply_min(acc, value); tensor_write(output, shape, tmp_index, acc); } ---- *Supported Data Types:* |=== |Profile|Mode|in_t |Any|signed 8|int8_t |Any|signed 16|int16_t |Any|signed 32|int32_t |MI, MT|floating-point|float_t |=== ==== 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|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 |Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* [source,c] ---- ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { tensor_write(output, shape, index, 1.0); } for_each(index in shape1) { tmp_index = index; tmp_index[axis]=0; value = tensor_read(input, shape1, index); acc = tensor_read(output, shape, tmp_index); acc = acc * value; tensor_write(output, shape, tmp_index, acc); } ---- *Supported Data Types:* |=== |Profile|Mode|in_t |MI, MT|floating-point|float_t |=== ==== 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|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 |Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* [source,c] ---- ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { tensor_write(output, shape, index, 0); } for_each(index in shape1) { tmp_index = index; tmp_index[axis]=0; value = tensor_read(input, shape1, index); acc = tensor_read(output, shape, tmp_index); acc = apply_add(acc, value); tensor_write(output, shape, tmp_index, acc); } ---- *Supported Data Types:* |=== |Profile|Mode|in_t |Any|signed 32|int32_t |MI, MT|floating-point|float_t |===