.. SPDX-FileCopyrightText: 2020-2022 Intel Corporation .. .. SPDX-License-Identifier: CC-BY-4.0 .. include:: ../../replacements.inc.rst ReduceL2 ######## ReduceL2 operation performs the reduction with finding the L2 norm (square root of sum of squares) on a given \src data along dimensions specified by axes. Take channel axis = 0 and keep_dims = True as an example: .. math:: \dst_{0,\cdots,\cdots} = \sqrt{\sum\limits_{i}{\src_{i,\cdots,\cdots}^2}} ,i \in [0,channelNum-1] Operation Attributes ******************** +------------------+---------------+------------+---------------------+-------------+ | Attribute | Description | Value Type | Supported | Required or | | Name | | | Values | Optional | +==================+===============+============+=====================+=============+ | |attr_axes| | Specify | s64 | A s64 list | Optional | | | indices of | | values | | | | src tensor, | | which is in | | | | along which | | the range | | | | the | | of [-r,r-1] | | | | reduction | | where | | | | is | | r = rank(src). | | | | performed. | | Empty list(default) | | | | If axes is | | | | | | a list, | | | | | | reduce over | | | | | | all of | | | | | | them. If | | | | | | axes is | | | | | | empty, | | | | | | corresponds | | | | | | to the | | | | | | identity | | | | | | operation. | | | | | | If axes | | | | | | contains | | | | | | all | | | | | | dimensions | | | | | | of src | | | | | | tensor, a | | | | | | single | | | | | | reduction | | | | | | value is | | | | | | calculated | | | | | | for the | | | | | | entire src | | | | | | tensor. | | | | | | Exactly one | | | | | | of | | | | | | attribute | | | | | | |attr_axes| | | | | | | and the | | | | | | second | | | | | | input | | | | | | tensor | | | | | | axes | | | | | | should be | | | | | | available. | | | | +------------------+---------------+------------+---------------------+-------------+ | |attr_keep_dims| | If set to | bool | true, | Optional | | | true it | | false | | | | holds axes | | (default) | | | | that are | | | | | | used for | | | | | | reduction. | | | | | | For each | | | | | | such axes, | | | | | | dst | | | | | | dimension | | | | | | is equal to | | | | | | 1. | | | | +------------------+---------------+------------+---------------------+-------------+ Execution Arguments ******************* The inputs and outputs must be provided according to the below index order when constructing an operation. Inputs ====== ===== ============= ==================== Index Argument Name Required or Optional ===== ============= ==================== 0 src Required 1 axes Optional ===== ============= ==================== @note axes is an 1-D tensor specifying the axis along which the reduction is performed. 1D tensor of unique elements. The range of elements is [-r, r-1], where r is the rank of src tensor. Exactly one of attribute axes and the second input tensor axes should be available. Outputs ======= ===== ============= ==================== Index Argument Name Required or Optional ===== ============= ==================== 0 dst Required ===== ============= ==================== @note The result of ReduceL2 function applied to src tensor. shape[i] = shapeOf(data)[i] for all i that is not in the list of axes from the second input. For dimensions from axes, shape[i] == 1 if keep_dims == True, or i-th dimension is removed from the dst otherwise. Supported Data Types ******************** ReduceL2 operation supports the following data type combinations. ================== ==== Source/Destination Axes ================== ==== f32 s32 bf16 s32 f16 s32 ================== ====