struct dnnl::layer_normalization_forward::primitive

Intel® oneAPI Deep Neural Network Developer Guide and Reference

Download PDF

ID 768875

Date 2/29/2024

Version

Public

A newer version of this document is available. Customers should click here to go to the newest version.

Visible to Intel only — GUID: GUID-2FEC1C15-9D47-4F4B-A432-E4BB62F1DE0E

View Details

struct dnnl::layer_normalization_forward::primitive_desc

Overview

Primitive descriptor for a layer normalization forward propagation primitive. More…


#include <dnnl.hpp>

struct primitive_desc: public dnnl::primitive_desc
{
    // construction

    primitive_desc();

    primitive_desc(
        const engine& aengine,
        prop_kind aprop_kind,
        const memory::desc& src_desc,
        const memory::desc& dst_desc,
        const memory::desc& stat_desc,
        float epsilon,
        normalization_flags flags,
        const primitive_attr& attr = default_attr(),
        bool allow_empty = false
        );

    primitive_desc(
        const engine& aengine,
        prop_kind aprop_kind,
        const memory::desc& src_desc,
        const memory::desc& dst_desc,
        float epsilon,
        normalization_flags flags,
        const primitive_attr& attr = default_attr(),
        bool allow_empty = false
        );

    primitive_desc(
        const engine& aengine,
        prop_kind aprop_kind,
        const memory::desc& src_desc,
        const memory::desc& dst_desc,
        const memory::desc& stat_desc,
        memory::data_type scale_shift_data_type,
        float epsilon,
        normalization_flags flags,
        const primitive_attr& attr = default_attr(),
        bool allow_empty = false
        );

    primitive_desc(
        const engine& aengine,
        prop_kind aprop_kind,
        const memory::desc& src_desc,
        const memory::desc& dst_desc,
        memory::data_type scale_shift_data_type,
        float epsilon,
        normalization_flags flags,
        const primitive_attr& attr = default_attr(),
        bool allow_empty = false
        );

    primitive_desc(dnnl_primitive_desc_t pd);

    // methods

    memory::desc src_desc() const;
    memory::desc dst_desc() const;
    memory::desc weights_desc() const;
    memory::desc workspace_desc() const;
    memory::desc mean_desc() const;
    memory::desc variance_desc() const;
    dnnl::prop_kind get_prop_kind() const;
    float get_epsilon() const;
    normalization_flags get_flags() const;
};

Inherited Members


public:
    // methods

    handle<T, traits>& operator = (const handle<T, traits>&);
    handle<T, traits>& operator = (handle<T, traits>&&);
    void reset(T t, bool weak = false);
    T get(bool allow_empty = false) const;
    operator T () const;
    operator bool () const;
    bool operator == (const handle<T, traits>& other) const;
    bool operator != (const handle& other) const;
    engine get_engine() const;
    const char* impl_info_str() const;
    memory::dim query_s64(query what) const;
    memory::dims get_strides() const;
    memory::dims get_dilations() const;
    memory::dims get_padding_l() const;
    memory::dims get_padding_r() const;
    float get_epsilon() const;

    template <typename T = unsigned>
    T get_flags() const;

    dnnl::algorithm get_algorithm() const;
    float get_alpha() const;
    float get_beta() const;
    int get_axis() const;
    memory::dim get_local_size() const;
    float get_k() const;
    float get_p() const;
    std::vector<float> get_factors() const;
    dnnl::algorithm get_cell_kind() const;
    dnnl::rnn_direction get_direction() const;
    dnnl::algorithm get_activation_kind() const;
    memory::dims get_kernel() const;
    memory::dim get_group_size() const;
    dnnl::prop_kind get_prop_kind() const;
    memory::desc query_md(query what, int idx = 0) const;
    memory::desc src_desc(int idx) const;
    memory::desc dst_desc(int idx) const;
    memory::desc weights_desc(int idx) const;
    memory::desc diff_src_desc(int idx) const;
    memory::desc diff_dst_desc(int idx) const;
    memory::desc diff_weights_desc(int idx) const;
    memory::desc src_desc() const;
    memory::desc dst_desc() const;
    memory::desc weights_desc() const;
    memory::desc diff_src_desc() const;
    memory::desc diff_dst_desc() const;
    memory::desc diff_weights_desc() const;
    memory::desc workspace_desc() const;
    memory::desc scratchpad_desc() const;
    engine scratchpad_engine() const;
    primitive_attr get_primitive_attr() const;
    dnnl::primitive::kind get_kind() const;
    std::vector<uint8_t> get_cache_blob_id() const;
    bool next_impl();
    primitive_desc_base();
    primitive_desc_base();
    primitive_desc_base();
    primitive_desc_base();

Detailed Documentation

Primitive descriptor for a layer normalization forward propagation primitive.

Construction


primitive_desc()

Default constructor. Produces an empty object.


primitive_desc(
    const engine& aengine,
    prop_kind aprop_kind,
    const memory::desc& src_desc,
    const memory::desc& dst_desc,
    const memory::desc& stat_desc,
    float epsilon,
    normalization_flags flags,
    const primitive_attr& attr = default_attr(),
    bool allow_empty = false
    )

Constructs a primitive descriptor for a layer normalization forward propagation primitive.

Parameters:

aengine	Engine to use.
aprop_kind	Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
src_desc	Source memory descriptor.
dst_desc	Destination memory descriptor.
stat_desc	Statistics memory descriptors.
epsilon	Layer normalization epsilon parameter.
flags	Layer normalization flags (dnnl::normalization_flags).
attr	Primitive attributes to use. Attributes are optional and default to empty attributes.
allow_empty	A flag signifying whether construction is allowed to fail without throwing an exception. In this case an empty object will be produced. This flag is optional and defaults to false.


primitive_desc(
    const engine& aengine,
    prop_kind aprop_kind,
    const memory::desc& src_desc,
    const memory::desc& dst_desc,
    float epsilon,
    normalization_flags flags,
    const primitive_attr& attr = default_attr(),
    bool allow_empty = false
    )

Constructs a primitive descriptor for a layer normalization forward propagation primitive.

Parameters:

aengine	Engine to use.
aprop_kind	Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
src_desc	Source memory descriptor.
dst_desc	Destination memory descriptor.
epsilon	Layer normalization epsilon parameter.
flags	Layer normalization flags (dnnl::normalization_flags).
attr	Primitive attributes to use. Attributes are optional and default to empty attributes.
allow_empty	A flag signifying whether construction is allowed to fail without throwing an exception. In this case an empty object will be produced. This flag is optional and defaults to false.


primitive_desc(
    const engine& aengine,
    prop_kind aprop_kind,
    const memory::desc& src_desc,
    const memory::desc& dst_desc,
    const memory::desc& stat_desc,
    memory::data_type scale_shift_data_type,
    float epsilon,
    normalization_flags flags,
    const primitive_attr& attr = default_attr(),
    bool allow_empty = false
    )

Constructs a primitive descriptor for a layer normalization forward propagation primitive with a user-provided data type for the scale and shift memory objects.

Parameters:

aengine	Engine to use.
aprop_kind	Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
src_desc	Source memory descriptor.
dst_desc	Destination memory descriptor.
stat_desc	Statistics memory descriptors.
scale_shift_data_type	Data type of scale and shift memory. If neither scale nor shift flag are specified the parameter is ignored.
epsilon	Layer normalization epsilon parameter.
flags	Layer normalization flags (dnnl::normalization_flags).
attr	Primitive attributes to use. Attributes are optional and default to empty attributes.
allow_empty	A flag signifying whether construction is allowed to fail without throwing an exception. In this case an empty object will be produced. This flag is optional and defaults to false.


primitive_desc(
    const engine& aengine,
    prop_kind aprop_kind,
    const memory::desc& src_desc,
    const memory::desc& dst_desc,
    memory::data_type scale_shift_data_type,
    float epsilon,
    normalization_flags flags,
    const primitive_attr& attr = default_attr(),
    bool allow_empty = false
    )

Constructs a primitive descriptor for a layer normalization forward propagation primitive with a user-provided data type for the scale and shift memory objects.

Parameters:

aengine	Engine to use.
aprop_kind	Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference.
src_desc	Source memory descriptor.
dst_desc	Destination memory descriptor.
scale_shift_data_type	Data type of scale and shift memory. If neither scale nor shift flag are specified the parameter is ignored.
epsilon	Layer normalization epsilon parameter.
flags	Layer normalization flags (dnnl::normalization_flags).
attr	Primitive attributes to use. Attributes are optional and default to empty attributes.
allow_empty	A flag signifying whether construction is allowed to fail without throwing an exception. In this case an empty object will be produced. This flag is optional and defaults to false.


primitive_desc(dnnl_primitive_desc_t pd)

Constructs a primitive descriptor for a layer normalization forward propagation primitive from a C API primitive descriptor that must have a matching kind.

Parameters:

pd	C API primitive descriptor for a layer normalization forward propagation primitive.

Methods


memory::desc src_desc() const

Returns a source memory descriptor.

Returns:

Source memory descriptor.

A zero memory descriptor if the primitive does not have a source parameter.


memory::desc dst_desc() const

Returns a destination memory descriptor.

Returns:

Destination memory descriptor.

A zero memory descriptor if the primitive does not have a destination parameter.


memory::desc weights_desc() const

Returns a weights memory descriptor.

Returns:

Weights memory descriptor.

A zero memory descriptor if the primitive does not have a weights parameter.


memory::desc workspace_desc() const

Returns the workspace memory descriptor.

Returns:

Workspace memory descriptor.

A zero memory descriptor if the primitive does not require workspace parameter.


memory::desc mean_desc() const

Returns memory descriptor for mean.

Returns:

Memory descriptor for mean.


memory::desc variance_desc() const

Returns memory descriptor for variance.

Returns:

Memory descriptor for variance.


dnnl::prop_kind get_prop_kind() const

Returns a propagation kind.

Returns:

A propagation kind.

dnnl::prop_kind::undef if the primitive does not have a propagation parameter.


float get_epsilon() const

Returns an epsilon.

Returns:

An epsilon.

Zero if the primitive does not have an epsilon parameter.


normalization_flags get_flags() const

Returns normalization flags.

Returns:

Normalization flags.

Select Your Language

Using Intel.com Search

Quick Links

Recent Searches

Advanced Search

Only search in

Intel® oneAPI Deep Neural Network Developer Guide and Reference

struct dnnl::layer_normalization_forward::primitive_desc

Overview

Detailed Documentation