Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  1.0.4
Performance library for Deep Learning
List of all members
mkldnn::concat Struct Reference

Implements primitive descriptor and primitive for concat. More...

#include <mkldnn.hpp>

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Additional Inherited Members

- Public Types inherited from mkldnn::primitive
enum  kind {
  kind::undef = mkldnn_undefined_primitive, kind::reorder = mkldnn_reorder, kind::shuffle = mkldnn_shuffle, kind::concat = mkldnn_concat,
  kind::sum = mkldnn_sum, kind::convolution = mkldnn_convolution, kind::deconvolution = mkldnn_deconvolution, kind::eltwise = mkldnn_eltwise,
  kind::softmax = mkldnn_softmax, kind::pooling = mkldnn_pooling, kind::lrn = mkldnn_lrn, kind::batch_normalization = mkldnn_batch_normalization,
  kind::inner_product = mkldnn_inner_product, kind::rnn = mkldnn_rnn
}
 Kinds of primitives. More...
 
- Public Member Functions inherited from mkldnn::primitive
const_mkldnn_primitive_desc_t get_primitive_desc () const
 Returns the descriptor of the underlying C API primitive.
 
- Public Member Functions inherited from mkldnn::handle< mkldnn_primitive_t >
 handle (mkldnn_primitive_t t, bool weak=false)
 Constructs a C handle wrapper. More...
 
 handle ()
 Empty constructor. More...
 
void reset (mkldnn_primitive_t t, bool weak=false)
 Resets the value of a C handle. More...
 
mkldnn_primitive_t get (bool allow_emtpy=false) const
 Returns the value of the underlying C handle.
 

Detailed Description

Implements primitive descriptor and primitive for concat.

Creates an out-of-place primitive descriptor for concatenation of n inputs by concat_dimension with resulting output_desc memory descriptor. output_desc can be NULL or specified with the mkldnn::memory::format_tag::any format kind–in this case, the appropriate memory format would be chosen automatically.


The documentation for this struct was generated from the following file: