▼Nmkldnn | |
►Cbatch_normalization_backward | Batch normalization backward propagation |
►Cbatch_normalization_forward | Batch normalization for forward propagation |
Cconcat | Implements primitive descriptor and primitive for concat |
►Cconvolution_backward_data | Convolution backward propagation |
►Cconvolution_backward_weights | Convolution weight update |
►Cconvolution_forward | Convolution forward propagation |
►Cdeconvolution_backward_data | Deconvolution backward propagation |
►Cdeconvolution_backward_weights | Deconvolution weight update |
►Cdeconvolution_forward | Deconvolution forward propagation |
►Celtwise_backward | Element-wise operations for backward propagation |
►Celtwise_forward | Element-wise operations for forward propagation |
Cengine | An execution engine |
Cerror | Intel(R) MKL-DNN exception class |
►Cgru_backward | GRU for backward propagation |
►Cgru_forward | GRU for 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 |
►Cinner_product_backward_weights | Inner product for backward propagation with respect to weights |
►Cinner_product_forward | Inner product for forward propagation |
►Clbr_gru_backward | LBR_GRU for backward propagation |
►Clbr_gru_forward | LBR_GRU for forward propagation |
►Clrn_backward | Local response normalization for backward propagation |
►Clrn_forward | Local response normalization for forward propagation |
►Clstm_backward | LSTM for backward propagation |
►Clstm_forward | LSTM for forward propagation |
►Cmemory | Memory that describes the data |
►Cpooling_forward | Pooling for 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 |
►Csoftmax_backward | Softmax for backward propagation |
►Csoftmax_forward | Softmax for 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 |
►Cvanilla_rnn_forward | Vanilla RNN for 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 |