Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 123]

▼Nmkldnn
►Cbatch_normalization_backward	Batch normalization backward propagation
Cdesc	Descriptor for batch normalization backward propagation
Cprimitive_desc	Primitive descriptor for batch normalization backward propagation
►Cbatch_normalization_forward	Batch normalization for forward propagation
Cdesc	Descriptor for batch normalization forward propagation
Cprimitive_desc	Primitive descriptor for batch normalization forward propagation
Cconcat	Implements primitive descriptor and primitive for concat
►Cconvolution_backward_data	Convolution backward propagation
Cdesc	Descriptor for convolution backward propagation
Cprimitive_desc	Primitive descriptor for convolution backward propagation
►Cconvolution_backward_weights	Convolution weight update
Cdesc	Descriptor for convolution weight update
Cprimitive_desc	Primitive descriptor for convolution weight update
►Cconvolution_forward	Convolution forward propagation
Cdesc	Descriptor for convolution forward propagation
Cprimitive_desc	Primitive descriptor for convolution forward propagation
►Cdeconvolution_backward_data	Deconvolution backward propagation
Cdesc	Descriptor for deconvolution backward propagation
Cprimitive_desc	Primitive descriptor for deconvolution backward propagation
►Cdeconvolution_backward_weights	Deconvolution weight update
Cdesc	Descriptor for deconvolution weight update
Cprimitive_desc	Primitive descriptor for deconvolution weight update
►Cdeconvolution_forward	Deconvolution forward propagation
Cdesc	Descriptor for convolution forward propagation
Cprimitive_desc	Primitive descriptor for deconvolution forward propagation
►Celtwise_backward	Element-wise operations for backward propagation
Cdesc	Initializes an eltwise descriptor for backward propagation using aalgorithm algorithm memory descriptors diff_data_desc and data_desc, and the alpha and beta parameters
Cprimitive_desc	Primitive descriptor for eltwise backward propagation
►Celtwise_forward	Element-wise operations for forward propagation
Cdesc	Initializes an eltwise descriptor for forward propagation using prop_kind (possible values are mkldnn::forward_training and mkldnn::forward_inference), aalgorithm algorithm, memory descriptor data_desc, alpha, and beta parameters
Cprimitive_desc	Primitive descriptor for eltwise forward propagation
Cengine	An execution engine
Cerror	Intel(R) MKL-DNN exception class
►Cgru_backward	GRU for backward propagation
Cdesc	GRU descriptor for backward propagation
Cprimitive_desc	Primitive descriptor for GRU backward propagation
►Cgru_forward	GRU for forward propagation
Cdesc	Descriptor for GRU forward propagation
Cprimitive_desc	Primitive descriptor for GRU forward propagation
Chandle	A class for wrapping an Intel(R) MKL-DNN handle
Chandle_traits	A class that provides the destructor for an Intel(R) MKL-DNN C handle
►Cinner_product_backward_data	Inner product for backward propagation with respect to data
Cdesc	Initializes an inner product descriptor for backward propagation with respect to data using memory descriptors
Cprimitive_desc	Primitive descriptor for inner product backward propagation with respect to data
►Cinner_product_backward_weights	Inner product for backward propagation with respect to weights
Cdesc	Initializes an inner product descriptor for backward propagation with respect to weights using memory descriptors
Cprimitive_desc	Primitive descriptor for inner product backward propagation with respect to weights
►Cinner_product_forward	Inner product for forward propagation
Cdesc	Initializes an inner product descriptor for forward propagation using prop_kind (possible values are mkldnn::prop_kind::forward_training and mkldnn::prop_kind::forward_inference) and memory descriptors
Cprimitive_desc	Primitive descriptor for inner product forward propagation
►Clbr_gru_backward	LBR_GRU for backward propagation
Cdesc	LBR_GRU descriptor for backward propagation
Cprimitive_desc	Primitive descriptor for LBR_GRU backward propagation
►Clbr_gru_forward	LBR_GRU for forward propagation
Cdesc	Descriptor for LBR GRU forward propagation
Cprimitive_desc	Primitive descriptor for LBR_GRU forward propagation
►Clrn_backward	Local response normalization for backward propagation
Cdesc	Descriptor for local response normalization backward propagation
Cprimitive_desc	Primitive descriptor for local response normalization backward propagation
►Clrn_forward	Local response normalization for forward propagation
Cdesc	Descriptor for local response normalization forward propagation
Cprimitive_desc	Primitive descriptor for local response normalization forward propagation
►Clstm_backward	LSTM for backward propagation
Cdesc	LSTM descriptor for backward propagation
Cprimitive_desc	Primitive descriptor for LSTM backward propagation
►Clstm_forward	LSTM for forward propagation
Cdesc	Descriptor for LSTM forward propagation
Cprimitive_desc	Primitive descriptor for LSTM forward propagation
►Cmemory	Memory that describes the data
Cdesc	A memory descriptor
►Cpooling_forward	Pooling for forward propagation
Cdesc	Descriptor for pooling forward propagation
Cprimitive_desc	Primitive descriptor for pooling forward propagation
Cpost_ops	Post operations
Cprimitive	Base class for all computational primitives
Cprimitive_attr	Primitive attributes
Cprimitive_desc	A base class for all primitive descriptors
Creorder	Initializes a reorder primitive using the description of the source (src_engine and src_md) and destination (dst_engine and dst_md) memory, and an attr attribute
Cshuffle_backward	Shuffle for backward propagation
►Cshuffle_forward	Shuffle for forward propagation
Cdesc	Descriptor for shuffle forward propagation
Cprimitive_desc	Primitive descriptor for shuffle forward propagation
►Csoftmax_backward	Softmax for backward propagation
Cdesc	Descriptor for softmax backward propagation
Cprimitive_desc	Primitive descriptor for softmax backward propagation
►Csoftmax_forward	Softmax for forward propagation
Cdesc	Descriptor for softmax forward propagation
Cprimitive_desc	Primitive descriptor for softmax forward propagation
Cstream	An execution stream
Csum	Creates an out-of-place sum primitive descriptor for sum of n inputs multiplied by the scale with resulting output_desc memory descriptor
►Cvanilla_rnn_backward	Vanilla RNN for backward propagation
Cdesc	RNN descriptor for backward propagation
Cprimitive_desc	Primitive descriptor for RNN backward propagation
►Cvanilla_rnn_forward	Vanilla RNN for forward propagation
Cdesc	Descriptor for RNN forward propagation
Cprimitive_desc	Primitive descriptor for RNN forward propagation
Cmkldnn_batch_normalization_desc_t	A descriptor of a Batch Normalization operation
Cmkldnn_blocking_desc_t	Generic description of blocked data layout for most memory formats
Cmkldnn_convolution_desc_t	A descriptor of a convolution operation
Cmkldnn_eltwise_desc_t	A descriptor of a element-wise operation
Cmkldnn_engine	An opaque structure to describe an engine
Cmkldnn_exec_arg_t	An auxiliary structure to specify primitive's inputs/outputs at execution
Cmkldnn_inner_product_desc_t	A descriptor of an inner product operation
Cmkldnn_lrn_desc_t	A descriptor of a Local Response Normalization (LRN) operation
Cmkldnn_memory	An opaque structure to describe a memory
Cmkldnn_memory_desc_t	Memory descriptor
Cmkldnn_memory_extra_desc_t	Description of extra information stored in memory
Cmkldnn_pooling_desc_t	A descriptor of a pooling operation
Cmkldnn_post_ops	An opaque structure for a chain of post operations
Cmkldnn_primitive	An opaque structure to describe a primitive
Cmkldnn_primitive_attr	An opaque structure for primitive descriptor attributes
Cmkldnn_primitive_desc	An opaque structure to describe a primitive descriptor
Cmkldnn_primitive_desc_iterator	An opaque structure to describe a primitive descriptor iterator
Cmkldnn_rnn_desc_t	A descriptor for an RNN operation
Cmkldnn_rnn_packed_desc_t	Description of tensor of packed weights for rnn
Cmkldnn_shuffle_desc_t	A descriptor of a shuffle operation
Cmkldnn_softmax_desc_t	A descriptor of a Softmax operation
Cmkldnn_stream	An opaque structure to describe an execution stream
Cmkldnn_version_t	Version type
Cmkldnn_wino_desc_t	Description of tensor of weights for winograd 2x3 convolution