Intel® oneAPI Deep Neural Network Developer Guide and Reference
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Inner Product
Overview
A primitive to compute an inner product. More…
// structs struct dnnl::inner_product_backward_data; struct dnnl::inner_product_backward_weights; struct dnnl::inner_product_forward; // global functions dnnl_status_t DNNL_API dnnl_inner_product_forward_primitive_desc_create( dnnl_primitive_desc_t* primitive_desc, dnnl_engine_t engine, dnnl_prop_kind_t prop_kind, const_dnnl_memory_desc_t src_desc, const_dnnl_memory_desc_t weights_desc, const_dnnl_memory_desc_t bias_desc, const_dnnl_memory_desc_t dst_desc, const_dnnl_primitive_attr_t attr ); dnnl_status_t DNNL_API dnnl_inner_product_backward_data_primitive_desc_create( dnnl_primitive_desc_t* primitive_desc, dnnl_engine_t engine, const_dnnl_memory_desc_t diff_src_desc, const_dnnl_memory_desc_t weights_desc, const_dnnl_memory_desc_t diff_dst_desc, const_dnnl_primitive_desc_t hint_fwd_pd, const_dnnl_primitive_attr_t attr ); dnnl_status_t DNNL_API dnnl_inner_product_backward_weights_primitive_desc_create( dnnl_primitive_desc_t* primitive_desc, dnnl_engine_t engine, const_dnnl_memory_desc_t src_desc, const_dnnl_memory_desc_t diff_weights_desc, const_dnnl_memory_desc_t diff_bias_desc, const_dnnl_memory_desc_t diff_dst_desc, const_dnnl_primitive_desc_t hint_fwd_pd, const_dnnl_primitive_attr_t attr );
Detailed Documentation
A primitive to compute an inner product.
See also:
Inner Product in developer guide
Global Functions
dnnl_status_t DNNL_API dnnl_inner_product_forward_primitive_desc_create( dnnl_primitive_desc_t* primitive_desc, dnnl_engine_t engine, dnnl_prop_kind_t prop_kind, const_dnnl_memory_desc_t src_desc, const_dnnl_memory_desc_t weights_desc, const_dnnl_memory_desc_t bias_desc, const_dnnl_memory_desc_t dst_desc, const_dnnl_primitive_attr_t attr )
Creates a primitive descriptor for an inner product forward propagation primitive.
Parameters:
primitive_desc  |  
        Output primitive_descriptor.  |  
       
engine  |  
        Engine to use.  |  
       
prop_kind  |  
        Propagation kind. Possible values are dnnl_forward_training and dnnl_forward_inference.  |  
       
src_desc  |  
        Source memory descriptor.  |  
       
weights_desc  |  
        Weights memory descriptor.  |  
       
bias_desc  |  
        Bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to dnnl_format_kind_undef disables the bias term.  |  
       
dst_desc  |  
        Destination memory descriptor.  |  
       
attr  |  
        Primitive attributes (can be NULL).  |  
       
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_inner_product_backward_data_primitive_desc_create( dnnl_primitive_desc_t* primitive_desc, dnnl_engine_t engine, const_dnnl_memory_desc_t diff_src_desc, const_dnnl_memory_desc_t weights_desc, const_dnnl_memory_desc_t diff_dst_desc, const_dnnl_primitive_desc_t hint_fwd_pd, const_dnnl_primitive_attr_t attr )
Creates a primitive descriptor for an inner product backward propagation primitive.
Parameters:
primitive_desc  |  
        Output primitive_descriptor.  |  
       
engine  |  
        Engine to use.  |  
       
diff_src_desc  |  
        Diff source memory descriptor.  |  
       
weights_desc  |  
        Weights memory descriptor.  |  
       
diff_dst_desc  |  
        Diff destination memory descriptor.  |  
       
hint_fwd_pd  |  
        Primitive descriptor for a respective forward propagation primitive.  |  
       
attr  |  
        Primitive attributes (can be NULL).  |  
       
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_inner_product_backward_weights_primitive_desc_create( dnnl_primitive_desc_t* primitive_desc, dnnl_engine_t engine, const_dnnl_memory_desc_t src_desc, const_dnnl_memory_desc_t diff_weights_desc, const_dnnl_memory_desc_t diff_bias_desc, const_dnnl_memory_desc_t diff_dst_desc, const_dnnl_primitive_desc_t hint_fwd_pd, const_dnnl_primitive_attr_t attr )
Creates a primitive descriptor for an inner product weights gradient primitive.
Parameters:
primitive_desc  |  
        Output primitive_descriptor.  |  
       
engine  |  
        Engine to use.  |  
       
src_desc  |  
        Source memory descriptor.  |  
       
diff_weights_desc  |  
        Diff weights memory descriptor.  |  
       
diff_bias_desc  |  
        Diff bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to dnnl_format_kind_undef disables the bias term.  |  
       
diff_dst_desc  |  
        Diff destination memory descriptor.  |  
       
hint_fwd_pd  |  
        Primitive descriptor for a respective forward propagation primitive.  |  
       
attr  |  
        Primitive attributes (can be NULL).  |  
       
Returns:
dnnl_success on success and a status describing the error otherwise.