Intel® oneAPI Deep Neural Network Developer Guide and Reference
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Visible to Intel only — GUID: GUID-DDABEFDF-AD48-451D-88E2-77670A50D0B1
Visible to Intel only — GUID: GUID-DDABEFDF-AD48-451D-88E2-77670A50D0B1
struct dnnl::layer_normalization_backward
Overview
Layer normalization backward propagation primitive. More…
#include <dnnl.hpp> struct layer_normalization_backward: public dnnl::primitive { // structs struct primitive_desc; // construction layer_normalization_backward(); layer_normalization_backward(const primitive_desc& pd); layer_normalization_backward( const primitive_desc& pd, const std::vector<uint8_t>& cache_blob ); };
Inherited Members
public: // enums enum kind; // 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; const_dnnl_primitive_desc_t get_primitive_desc() const; kind get_kind() const; std::vector<uint8_t> get_cache_blob() const; void execute(const stream& astream, const std::unordered_map<int, memory>& args) const; handle(); handle(); handle(); handle();
Detailed Documentation
Layer normalization backward propagation primitive.
Construction
layer_normalization_backward()
Default constructor. Produces an empty object.
layer_normalization_backward(const primitive_desc& pd)
Constructs a layer normalization backward propagation primitive.
Parameters:
pd |
Primitive descriptor for a layer normalization backward propagation primitive. |
layer_normalization_backward( const primitive_desc& pd, const std::vector<uint8_t>& cache_blob )
Constructs a layer normalization backward propagation primitive from a cache blob.
Parameters:
pd |
Primitive descriptor for a layer normalization backward propagation primitive. |
cache_blob |
Cache blob. |