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Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.16
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 | |
| ►Creorder | |
| ►Crnn_backward | |
| ►Crnn_cell | |
| ►Crnn_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_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 integer 8bit winograd convolution |
1.8.13