struct dnnl::sum::primitive

Intel® oneAPI Deep Neural Network Developer Guide and Reference

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ID 768875

Date 12/16/2022

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struct dnnl::sum::primitive_desc

Overview

Primitive descriptor for a sum primitive. More…

#include <dnnl.hpp>

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

    primitive_desc();

    primitive_desc(
        const engine& aengine,
        const memory::desc& dst,
        const std::vector<float>& scales,
        const std::vector<memory::desc>& srcs,
        const primitive_attr& attr = default_attr()
        );

    primitive_desc(
        const engine& aengine,
        const std::vector<float>& scales,
        const std::vector<memory::desc>& srcs,
        const primitive_attr& attr = default_attr()
        );

    primitive_desc(dnnl_primitive_desc_t pd);

    // methods

    memory::desc src_desc(int idx = 0) const;
    memory::desc dst_desc() const;
    primitive_desc_base();
    primitive_desc_base(dnnl_primitive_desc_t pd, dnnl::primitive::kind prim_kind);

    primitive_desc_base(
        dnnl_primitive_desc_t pd,
        dnnl::primitive::kind prim_kind,
        dnnl::prop_kind aprop_kind
        );

    primitive_desc_base(
        dnnl_primitive_desc_t pd,
        dnnl::primitive::kind prim_kind,
        dnnl::prop_kind prop_kind1,
        dnnl::prop_kind prop_kind2
        );
};

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;

Detailed Documentation

Primitive descriptor for a sum primitive.

Construction

primitive_desc()

Default constructor. Produces an empty object.

primitive_desc(
    const engine& aengine,
    const memory::desc& dst,
    const std::vector<float>& scales,
    const std::vector<memory::desc>& srcs,
    const primitive_attr& attr = default_attr()
    )

Constructs a primitive descriptor for a sum primitive.

Parameters:

aengine	Engine to perform the operation on.
dst	Destination memory descriptor.
scales	Vector of scales to multiply data in each source memory by.
srcs	Vector of source memory descriptors.
attr	Primitive attributes to use. Attributes are optional and default to empty attributes.

primitive_desc(
    const engine& aengine,
    const std::vector<float>& scales,
    const std::vector<memory::desc>& srcs,
    const primitive_attr& attr = default_attr()
    )

Constructs a primitive descriptor for a sum primitive.

This version derives the destination memory descriptor automatically.

Parameters:

aengine	Engine on which to perform the operation.
scales	Vector of scales by which to multiply data in each source memory object.
srcs	Vector of source memory descriptors.
attr	Primitive attributes to use. Attributes are optional and default to empty attributes.

primitive_desc(dnnl_primitive_desc_t pd)

Constructs a primitive descriptor for sum primitive from a C API primitive descriptor which must have a matching kind.

Parameters:

pd	C API primitive descriptor for reorder primitive.

Methods

memory::desc src_desc(int idx = 0) const

Returns a source memory descriptor.

Parameters:

idx	Source index.

Returns:

Source memory descriptor.

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

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.

primitive_desc_base()

Default constructor. Produces an empty object.

primitive_desc_base(dnnl_primitive_desc_t pd, dnnl::primitive::kind prim_kind)

Constructs a primitive descriptor base object from a clone of a C API primitive descriptor after verifying that it is what the caller expects.

NOTE:

The prim_kind should map to a primitive that does not have different values of propagation kind (e.g. dnnl::binary).

NOTE:

Primitive descriptor base constructed this way does not support next_impl() (will throw).

Parameters:

pd	C API primitive descriptor to clone.
prim_kind	Expected primitive kind.

primitive_desc_base(
    dnnl_primitive_desc_t pd,
    dnnl::primitive::kind prim_kind,
    dnnl::prop_kind aprop_kind
    )

Constructs a primitive descriptor base object from a clone of a C API primitive descriptor after verifying that it is what the caller expects.

NOTE:

Primitive descriptor base constructed this way does not support next_impl() (will throw).

Parameters:

pd	C API primitive descriptor to clone.
prim_kind	Expected primitive kind.
aprop_kind	Expected propagation kind.

primitive_desc_base(
    dnnl_primitive_desc_t pd,
    dnnl::primitive::kind prim_kind,
    dnnl::prop_kind prop_kind1,
    dnnl::prop_kind prop_kind2
    )

Constructs a primitive descriptor base object from a clone of a C API primitive descriptor after verifying that it is what the caller expects.

NOTE:

Primitive descriptor base constructed this way does not support next_impl() (will throw).

Parameters:

pd	C API primitive descriptor to clone.
prim_kind	Expected primitive kind.
prop_kind1	Expected propagation kind (option 1).
prop_kind2	Expected propagation kind (option 2). This value is checked if the check with `prop_kind1` fails.

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Intel® oneAPI Deep Neural Network Developer Guide and Reference

struct dnnl::sum::primitive_desc

Overview

Detailed Documentation