| ▼Ndnnl | OneDNN namespace |
| ▶Cbatch_normalization_backward | Batch normalization backward propagation primitive |
| ▶Cbatch_normalization_forward | Batch normalization forward propagation primitive |
| ▶Cbinary | Elementwise binary operator primitive |
| ▶Cconcat | Tensor concatenation (concat) primitive |
| ▶Cconvolution_backward_data | Convolution backward propagation primitive |
| ▶Cconvolution_backward_weights | Convolution weights gradient primitive |
| ▶Cconvolution_forward | Convolution forward propagation primitive |
| ▶Cdeconvolution_backward_data | Deconvolution backward propagation primitive |
| ▶Cdeconvolution_backward_weights | Deconvolution weights gradient primitive |
| ▶Cdeconvolution_forward | Deconvolution forward propagation primitive |
| ▶Celtwise_backward | Elementwise unary operation backward propagation primitive |
| ▶Celtwise_forward | Elementwise unary operation forward propagation primitive |
| Cengine | An execution engine |
| Cerror | OneDNN exception class |
| ▶Cgru_backward | GRU backward propagation primitive |
| ▶Cgru_forward | GRU forward propagation primitive |
| Chandle | OneDNN C API handle wrapper class |
| Chandle_traits | A class that provides the destructor for a oneDNN C API handle |
| ▶Cinner_product_backward_data | Inner product backward propagation primitive |
| ▶Cinner_product_backward_weights | Inner product weights gradient primitive |
| ▶Cinner_product_forward | Inner product forward propagation primitive |
| ▶Clayer_normalization_backward | Layer normalization backward propagation primitive |
| ▶Clayer_normalization_forward | Layer normalization forward propagation primitive |
| ▶Clbr_gru_backward | LBR GRU backward propagation primitive |
| ▶Clbr_gru_forward | LBR GRU forward propagation primitive |
| ▶Clogsoftmax_backward | Logsoftmax backward propagation primitive |
| ▶Clogsoftmax_forward | Logsoftmax forward propagation primitive |
| ▶Clrn_backward | Local response normalization (LRN) backward propagation primitive |
| ▶Clrn_forward | Local response normalization (LRN) forward propagation primitive |
| ▶Clstm_backward | LSTM backward propagation primitive |
| ▶Clstm_forward | LSTM forward propagation primitive |
| ▶Cmatmul | Matrix multiplication (matmul) primitive |
| ▶Cmemory | Memory object |
| ▶Cpooling_backward | Pooling backward propagation primitive |
| ▶Cpooling_forward | Pooling forward propagation primitive |
| Cpost_ops | Post-ops |
| Cprimitive | Base class for all computational primitives |
| Cprimitive_attr | Primitive attributes |
| Cprimitive_desc | A base class for descriptors of all primitives that have an operation descriptor and that support iteration over multiple implementations |
| Cprimitive_desc_base | Base class for all primitive descriptors |
| ▶Creorder | Reorder primitive |
| ▶Cresampling_backward | Resampling backward propagation primitive |
| ▶Cresampling_forward | Resampling forward propagation |
| Crnn_primitive_desc_base | Base class for primitive descriptors for RNN primitives |
| ▶Cshuffle_backward | Shuffle backward propagation primitive |
| ▶Cshuffle_forward | Shuffle forward propagation primitive |
| ▶Csoftmax_backward | Softmax backward propagation primitive |
| ▶Csoftmax_forward | Softmax forward propagation primitive |
| Cstream | An execution stream |
| Cstream_attr | A container for stream attributes |
| ▶Csum | Out-of-place summation (sum) primitive |
| Cthreadpool_iface | Abstract threadpool interface |
| ▶Cvanilla_rnn_backward | Vanilla RNN backward propagation primitive |
| ▶Cvanilla_rnn_forward | Vanilla RNN forward propagation primitive |
| Cdnnl_batch_normalization_desc_t | A descriptor of a Batch Normalization operation |
| Cdnnl_binary_desc_t | A descriptor of a binary operation |
| Cdnnl_blocking_desc_t | Generic description of blocked data layout for most memory formats |
| Cdnnl_convolution_desc_t | A descriptor of a convolution operation |
| Cdnnl_eltwise_desc_t | A descriptor of a element-wise operation |
| Cdnnl_engine | An opaque structure to describe an engine |
| Cdnnl_exec_arg_t | A structure that contains an index and a memory object, and is used to pass arguments to dnnl_primitive_execute() |
| Cdnnl_inner_product_desc_t | A descriptor of an inner product operation |
| Cdnnl_layer_normalization_desc_t | A descriptor of a Layer Normalization operation |
| Cdnnl_lrn_desc_t | A descriptor of a Local Response Normalization (LRN) operation |
| Cdnnl_matmul_desc_t | A descriptor of a matrix multiplication operation |
| Cdnnl_memory | An opaque structure to describe a memory |
| Cdnnl_memory_desc_t | Memory descriptor |
| Cdnnl_memory_extra_desc_t | Description of extra information stored in memory |
| Cdnnl_pooling_desc_t | A descriptor of a pooling operation |
| Cdnnl_post_ops | An opaque structure for a chain of post operations |
| Cdnnl_primitive | An opaque structure to describe a primitive |
| Cdnnl_primitive_attr | An opaque structure for primitive descriptor attributes |
| Cdnnl_primitive_desc | An opaque structure to describe a primitive descriptor |
| Cdnnl_primitive_desc_iterator | An opaque structure to describe a primitive descriptor iterator |
| Cdnnl_resampling_desc_t | A descriptor of resampling operation |
| Cdnnl_rnn_desc_t | A descriptor for an RNN operation |
| Cdnnl_rnn_packed_desc_t | Description of tensor of packed weights for rnn |
| Cdnnl_shuffle_desc_t | A descriptor of a shuffle operation |
| Cdnnl_softmax_desc_t | A descriptor of a Softmax operation |
| Cdnnl_stream | An opaque structure to describe an execution stream |
| Cdnnl_version_t | Structure containing version information as per Semantic Versioning |
| Cdnnl_wino_desc_t | Description of tensor of weights for winograd 2x3 convolution |