Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)  0.17.4
Performance library for Deep Learning
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 123]
 ▼Nmkldnn
 ►Cbatch_normalization_backward
 ►Cbatch_normalization_forward
 ►Cconcat
 ►Cconvolution_backward_data
 ►Cconvolution_backward_weights
 ►Cconvolution_forward
 ►Cconvolution_relu_forwardA merged convolution-relu primitive for inference mode only
 ►Cdeconvolution_backward_data
 ►Cdeconvolution_backward_weights
 ►Cdeconvolution_forward
 ►Celtwise_backward
 ►Celtwise_forward
 CengineAn execution engine
 CerrorIntel(R) MKL-DNN exception class
 ChandleA class for wrapping an Intel(R) MKL-DNN handle. It is used as the base class for primitive (mkldnn_primitive_t), engine (mkldnn_engine_t), and stream (mkldnn_stream_t) handles. An object of the mkldnn::handle class can be passed by value. This class enables wrapping:
 Chandle_traitsA class that provides the destructor for an Intel(R) MKL-DNN C handle
 ►Cinner_product_backward_data
 ►Cinner_product_backward_weights
 ►Cinner_product_forward
 ►Clrn_backward
 ►Clrn_forward
 ►CmemoryMemory primitive that describes the data
 ►Cpooling_backward
 ►Cpooling_forward
 Cpost_ops
 ►CprimitiveBase class for all computational primitives
 Cprimitive_attr
 Cprimitive_descA base class for all primitive descriptors
 ►Creorder
 ►Crnn_backward
 ►Crnn_cell
 ►Crnn_forward
 ►Cshuffle_backward
 ►Cshuffle_forward
 ►Csoftmax_backward
 ►Csoftmax_forward
 Cstream
 ►Csum
 ►Cview
 Cmkldnn_batch_normalization_desc_tA descriptor of a Batch Normalization operation
 Cmkldnn_blocking_desc_tGeneric description of blocked data layout for most memory formats
 Cmkldnn_convolution_desc_tA descriptor of a convolution operation
 Cmkldnn_convolution_relu_desc_tA descriptor of a convolution followed by relu operation
 Cmkldnn_eltwise_desc_tA descriptor of a element-wise operation
 Cmkldnn_engineAn opaque structure to describe an engine
 Cmkldnn_inner_product_desc_tA descriptor of an inner product operation
 Cmkldnn_lrn_desc_tA descriptor of a Local Response Normalization (LRN) operation
 Cmkldnn_memory_desc_tMemory descriptor
 Cmkldnn_pooling_desc_tA descriptor of a pooling operation
 Cmkldnn_post_opsAn opaque structure for a chain of post operations
 Cmkldnn_primitiveAn opaque structure to describe a primitive
 Cmkldnn_primitive_at_tA wrapper structure to specify a particular output of a primitive
 Cmkldnn_primitive_attrAn opaque structure for primitive descriptor attributes
 Cmkldnn_primitive_descAn opaque structure to describe a primitive descriptor
 Cmkldnn_primitive_desc_iteratorAn opaque structure to describe a primitive descriptor iterator
 Cmkldnn_rnn_cell_desc_t
 Cmkldnn_rnn_desc_tA descriptor for an rnn operation
 Cmkldnn_shuffle_desc_tA descriptor of a shuffle operation
 Cmkldnn_softmax_desc_tA descriptor of a Softmax operation
 Cmkldnn_streamAn opaque structure to describe an execution stream
 Cmkldnn_wino_desc_tDescription of tensor of weights for winograd 2x3 convolution