Intel® oneAPI Deep Neural Network Developer Guide and Reference
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Visible to Intel only — GUID: GUID-26EF024A-AE54-46CB-8208-AC7CAB5686E8
Visible to Intel only — GUID: GUID-26EF024A-AE54-46CB-8208-AC7CAB5686E8
struct dnnl::softmax_backward::primitive_desc
Overview
Primitive descriptor for a softmax backward propagation primitive. More…
#include <dnnl.hpp> struct primitive_desc: public dnnl::primitive_desc { // construction primitive_desc(); primitive_desc( const engine& aengine, algorithm aalgorithm, const memory::desc& diff_src_desc, const memory::desc& diff_dst_desc, const memory::desc& dst_desc, int axis, const softmax_forward::primitive_desc& hint_fwd_pd, const primitive_attr& attr = default_attr(), bool allow_empty = false ); primitive_desc(dnnl_primitive_desc_t pd); // methods memory::desc dst_desc() const; memory::desc diff_src_desc() const; memory::desc diff_dst_desc() const; dnnl::algorithm get_algorithm() const; dnnl::prop_kind get_prop_kind() const; int get_axis() 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(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
);
Detailed Documentation
Primitive descriptor for a softmax backward propagation primitive.
Construction
primitive_desc()
Default constructor. Produces an empty object.
primitive_desc(
const engine& aengine,
algorithm aalgorithm,
const memory::desc& diff_src_desc,
const memory::desc& diff_dst_desc,
const memory::desc& dst_desc,
int axis,
const softmax_forward::primitive_desc& hint_fwd_pd,
const primitive_attr& attr = default_attr(),
bool allow_empty = false
)
Constructs a primitive descriptor for a softmax backward propagation primitive.
Parameters:
aengine |
Engine to use. |
aalgorithm |
Softmax algorithm kind: either dnnl::algorithm::softmax_accurate, or dnnl::algorithm::softmax_log. |
diff_src_desc |
Diff source memory descriptor. |
diff_dst_desc |
Diff destination memory descriptor. |
dst_desc |
Destination memory descriptor. |
axis |
Axis over which softmax is computed. |
hint_fwd_pd |
Primitive descriptor for a softmax forward propagation primitive. It is used as a hint for deciding which memory format to use. |
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 softmax backward propagation primitive from a C API primitive descriptor that must have a matching kind.
Parameters:
pd |
C API primitive descriptor for a softmax backward propagation primitive. |
Methods
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 diff_src_desc() const
Returns a diff source memory descriptor.
Returns:
Diff source memory descriptor.
A zero memory descriptor if the primitive does not have a diff source memory with.
memory::desc diff_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.
dnnl::algorithm get_algorithm() const
Returns an algorithm kind.
Returns:
An algorithm kind.
dnnl::algorithm::undef if the primitive does not have an algorithm parameter.
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.
int get_axis() const
Returns an axis.
Returns:
An axis.
A negative number if the primitive does not have an axis parameter.