struct dnnl::lrn_forward::primitive

Intel® oneAPI Deep Neural Network Developer Guide and Reference

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ID 768875

Date 9/17/2024

Version

Public

Visible to Intel only — GUID: GUID-911F2D25-3DBE-4EE1-8C8E-A2AEBB233C80

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struct dnnl::lrn_forward::primitive_desc

Overview

Primitive descriptor for an LRN 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,
        algorithm aalgorithm,
        const memory::desc& src_desc,
        const memory::desc& dst_desc,
        memory::dim local_size,
        float alpha,
        float beta,
        float k,
        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 workspace_desc() const;
    algorithm get_algorithm() const;
    prop_kind get_prop_kind() const;
    float get_alpha() const;
    float get_beta() const;
    memory::dim get_local_size() const;
    float get_k() 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 an LRN forward propagation primitive.

Construction

primitive_desc()

Default constructor. Produces an empty object.

primitive_desc(
    const engine& aengine,
    prop_kind aprop_kind,
    algorithm aalgorithm,
    const memory::desc& src_desc,
    const memory::desc& dst_desc,
    memory::dim local_size,
    float alpha,
    float beta,
    float k,
    const primitive_attr& attr = default_attr(),
    bool allow_empty = false
    )

Constructs a primitive descriptor for an LRN 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.
aalgorithm	LRN algorithm kind: either dnnl::algorithm::lrn_across_channels, or dnnl::algorithm::lrn_within_channel.
src_desc	Source memory descriptor.
dst_desc	Destination memory descriptor.
local_size	Regularization local size.
alpha	The alpha regularization parameter.
beta	The beta regularization parameter.
k	The k regularization parameter.
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 an LRN forward propagation primitive from a C API primitive descriptor that must have a matching kind.

Parameters:

pd	C API primitive descriptor for an LRN 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 workspace_desc() const

Returns the workspace memory descriptor.

Returns:

Workspace memory descriptor.

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

algorithm get_algorithm() const

Returns an algorithm kind.

Returns:

An algorithm kind.

dnnl::algorithm::undef if the primitive does not have an algorithm parameter.

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_alpha() const

Returns an alpha.

Returns:

An alpha.

Zero if the primitive does not have an alpha parameter.

float get_beta() const

Returns a beta.

Returns:

A beta.

Zero if the primitive does not have a beta parameter.

memory::dim get_local_size() const

Returns an LRN local size parameter.

Returns:

An LRN local size parameter.

Zero if the primitive does not have an LRN local size parameter.

float get_k() const

Returns an LRN K parameter.

Returns:

An LRN K parameter.

Zero if the primitive does not have an LRN K parameter.

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Intel® oneAPI Deep Neural Network Developer Guide and Reference

struct dnnl::lrn_forward::primitive_desc

Overview

Detailed Documentation