Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.10
Performance library for Deep Learning
|
▼Nmkldnn | |
▼Cbatch_normalization_backward | |
Cdesc | |
Cprimitive_desc | |
▼Cbatch_normalization_forward | |
Cdesc | |
Cprimitive_desc | |
▼Cconcat | |
Cprimitive_desc | |
▼Cconvolution_backward_data | |
Cdesc | |
Cprimitive_desc | |
▼Cconvolution_backward_weights | |
Cdesc | |
Cprimitive_desc | |
▼Cconvolution_forward | |
Cdesc | |
Cprimitive_desc | |
▼Cconvolution_relu_forward | |
Cdesc | |
Cprimitive_desc | |
▼Celtwise_backward | |
Cdesc | |
Cprimitive_desc | |
▼Celtwise_forward | |
Cdesc | |
Cprimitive_desc | |
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 |
Chandle_traits< mkldnn_primitive_desc_t > | |
Chandle_traits< mkldnn_primitive_t > | |
▼Cinner_product_backward_data | |
Cdesc | |
Cprimitive_desc | |
▼Cinner_product_backward_weights | |
Cdesc | |
Cprimitive_desc | |
▼Cinner_product_forward | |
Cdesc | |
Cprimitive_desc | |
▼Clrn_backward | |
Cdesc | |
Cprimitive_desc | |
▼Clrn_forward | |
Cdesc | |
Cprimitive_desc | |
▼Cmemory | Memory primitive that describes the data |
Cdesc | A memory descriptor |
Cprimitive_desc | A memory primitive descriptor |
▼Cpooling_backward | |
Cdesc | |
Cprimitive_desc | |
▼Cpooling_forward | |
Cdesc | |
Cprimitive_desc | |
▼Cprimitive | Base class for all computational primitives |
Cat | A wrapper structure to specify a particular output of a primitive |
▼Creorder | |
Cprimitive_desc | |
▼Csoftmax_forward | |
Cdesc | |
Cprimitive_desc | |
Cstream | |
▼Csum | |
Cprimitive_desc | |
▼Cview | |
Cprimitive_desc | |
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_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_desc | An opaque structure to describe a primitive descriptor |
Cmkldnn_primitive_desc_iterator | An opaque structure to describe a primitive descriptor iterator |
Cmkldnn_softmax_desc_t | A descriptor of a Softmax operation |
Cmkldnn_stream | An opaque structure to describe an execution stream |