Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.17.3
Performance library for Deep Learning
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▼Nmkldnn | |
►Cbatch_normalization_backward | |
►Cbatch_normalization_forward | |
►Cconcat | |
►Cconvolution_backward_data | |
►Cconvolution_backward_weights | |
►Cconvolution_forward | |
►Cconvolution_relu_forward | A merged convolution-relu primitive for inference mode only |
►Cdeconvolution_backward_data | |
►Cdeconvolution_backward_weights | |
►Cdeconvolution_forward | |
►Celtwise_backward | |
►Celtwise_forward | |
Cengine | An execution engine |
Cerror | Intel(R) MKL-DNN exception class |
Chandle | A 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_traits | A 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 | |
►Cmemory | Memory primitive that describes the data |
►Cpooling_backward | |
►Cpooling_forward | |
Cpost_ops | |
►Cprimitive | Base class for all computational primitives |
Cprimitive_attr | |
Cprimitive_desc | A 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_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_convolution_relu_desc_t | A descriptor of a convolution followed by relu operation |
Cmkldnn_eltwise_desc_t | A descriptor of a element-wise operation |
Cmkldnn_engine | An opaque structure to describe an engine |
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_desc_t | Memory descriptor |
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_at_t | A wrapper structure to specify a particular output of 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_cell_desc_t | |
Cmkldnn_rnn_desc_t | A descriptor for an rnn operation |
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_wino_desc_t | Description of tensor of weights for winograd 2x3 convolution |