enum dnnl::graph::op::attr

Intel® oneAPI Deep Neural Network Developer Guide and Reference

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ID 768875

Date 7/13/2023

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enum dnnl::graph::op::attr

Overview

Attributes of operations. More…

#include <dnnl_graph.hpp>

enum attr
{
    undef                          = dnnl_graph_op_attr_undef,
    alpha                          = dnnl_graph_op_attr_alpha,
    beta                           = dnnl_graph_op_attr_beta,
    epsilon                        = dnnl_graph_op_attr_epsilon,
    max                            = dnnl_graph_op_attr_max,
    min                            = dnnl_graph_op_attr_min,
    momentum                       = dnnl_graph_op_attr_momentum,
    scales                         = dnnl_graph_op_attr_scales,
    axis                           = dnnl_graph_op_attr_axis,
    begin_norm_axis                = dnnl_graph_op_attr_begin_norm_axis,
    groups                         = dnnl_graph_op_attr_groups,
    axes                           = dnnl_graph_op_attr_axes,
    dilations                      = dnnl_graph_op_attr_dilations,
    dst_shape                      = dnnl_graph_op_attr_dst_shape,
    kernel                         = dnnl_graph_op_attr_kernel,
    order                          = dnnl_graph_op_attr_order,
    output_padding                 = dnnl_graph_op_attr_output_padding,
    pads_begin                     = dnnl_graph_op_attr_pads_begin,
    pads_end                       = dnnl_graph_op_attr_pads_end,
    shape                          = dnnl_graph_op_attr_shape,
    sizes                          = dnnl_graph_op_attr_sizes,
    src_shape                      = dnnl_graph_op_attr_src_shape,
    strides                        = dnnl_graph_op_attr_strides,
    weights_shape                  = dnnl_graph_op_attr_weights_shape,
    zps                            = dnnl_graph_op_attr_zps,
    exclude_pad                    = dnnl_graph_op_attr_exclude_pad,
    keep_dims                      = dnnl_graph_op_attr_keep_dims,
    keep_stats                     = dnnl_graph_op_attr_keep_stats,
    per_channel_broadcast          = dnnl_graph_op_attr_per_channel_broadcast,
    special_zero                   = dnnl_graph_op_attr_special_zero,
    transpose_a                    = dnnl_graph_op_attr_transpose_a,
    transpose_b                    = dnnl_graph_op_attr_transpose_b,
    use_affine                     = dnnl_graph_op_attr_use_affine,
    use_dst                        = dnnl_graph_op_attr_use_dst,
    auto_broadcast                 = dnnl_graph_op_attr_auto_broadcast,
    auto_pad                       = dnnl_graph_op_attr_auto_pad,
    coordinate_transformation_mode = dnnl_graph_op_attr_coordinate_transformation_mode,
    data_format                    = dnnl_graph_op_attr_data_format,
    mode                           = dnnl_graph_op_attr_mode,
    qtype                          = dnnl_graph_op_attr_qtype,
    rounding_type                  = dnnl_graph_op_attr_rounding_type,
    weights_format                 = dnnl_graph_op_attr_weights_format,
};

Detailed Documentation

Attributes of operations.

Different operations support different attributes. Check the document of each operation for what attributes are supported and what are the potential values for them. Missing required attribute or illegal attribute value may lead to failure when adding the operation to a graph.

Enum Values

undef

Undefined op attribute.

alpha

Specifies an alpha attribute to an op.

beta

Specifies an beta attribute to an op.

epsilon

Specifies an epsilon attribute to an op.

max

Specifies a max attribute to an op.

min

Specifies a min attribute to an op.

momentum

Specifies a momentum attribute to an op.

scales

Specifies a scales attribute to an op.

axis

Specifies an axis attribute to an op.

begin_norm_axis

Specifies a begin_norm_axis attribute to an op.

groups

Specifies a groups attribute to an op.

axes

Specifies an axes attribute to an op.

dilations

Specifies a dilations attribute to an op.

dst_shape

Specifies an dst_shape attribute to an op.

kernel

Specifies a kernel attribute to an op.

order

Specifies an order attribute to an op.

output_padding

Specifies an output_padding attribute to an op.

pads_begin

Specifies a pads_begin attribute to an op.

pads_end

Specifies a pads_end attribute to an op.

shape

Specifies a shape attribute to an op.

sizes

Specifies a sizes attribute to an op.

src_shape

Specifies an src_shape attribute to an op.

strides

Specifies a strides attribute to an op.

weights_shape

Specifies a weight_shape attribute to an op.

zps

Specifies a zps attribute to an op.

exclude_pad

Specifies an exclude_pad attribute to an op.

keep_dims

Specifies a keep_dims attribute to an op.

keep_stats

Specifies a keep_stats attribute to an op.

per_channel_broadcast

Specifies a per_channel_broadcast attribute to an op.

special_zero

Specifies a special_zero attribute to an op.

transpose_a

Specifies a transpose_a attribute to an op.

transpose_b

Specifies a transpose_b attribute to an op.

use_affine

Specifies an use_affine attribute to an op.

use_dst

Specifies an use_dst attribute to an op.

auto_broadcast

Specifies an auto_broadcast attribute to an op.

The value can be “none” or “numpy”.

auto_pad

Specifies an auto_pad attribute to an op.

The value can be “none”, “same_upper”, “same_lower”, or “valid”.

coordinate_transformation_mode

Specifies an coordinate_transformation_mode attribute to an op.

The value can be “half_pixel” or “align_corners”. The attribute is defined for Interpolate operations.

data_format

Specifies a data_format of an op. The value can be “NCX” or “NXC”.

mode

Specifies a mode attribute of an op.

The value can be “nearest”, “linear”, “bilinear”, or “trilinear”. The attribute is defined for Interpolate operations.

qtype

Specifies a qtype attribute to an op.

The value can be “per_channel” or “per_tensor”. The attribute is defined for quantization operations.

rounding_type

Specifies a rounding_type attribute to an op.

The value can be “ceil” or “floor”.

weights_format

Specifies a weights_format of an op.

The value can be “OIX”, “XIO”, “IOX”, or “XOI”. Different operations may support different values.

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Intel® oneAPI Deep Neural Network Developer Guide and Reference

enum dnnl::graph::op::attr

Overview

Detailed Documentation