Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.17
Performance library for Deep Learning
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▼C API | |
▼Primitive operations | |
Common primitive operations | |
▼Attributes | An extension for controlling primitive behavior |
Sequence of post operations | An extension for performing extra operations after base operation |
Memory | A primitive to describe and store data |
Reorder | A primitive to copy data between memory formats |
Concat | A primitive to concatenate data by arbitrary dimension |
Sum | A primitive to sum data |
Convolution | A primitive to compute convolution using different algorithms |
Deconvolution | A primitive to compute deconvolution using different algorithms |
Shuffle | A primitive to shuffle data along the axis |
Eltwise | A primitive to compute element wise operations like parametric rectifier linear unit (ReLU) |
ReLU (deprecated, use Eltwise instead) | A primitive to compute a parametric rectifier linear unit (ReLU) |
Softmax | A primitive to perform softmax |
Pooling | A primitive to perform max or average pooling |
LRN | A primitive to perform local response normalization (LRN) across or within channels |
Batch Normalization | A primitive to perform batch normalization |
Inner product | A primitive to compute an inner product |
Convolution followed by ReLU (deprecated) | A merged primitive to compute a convolution followed by relu |
RNN | A primitive to compute common recurrent layer |
Engine operations | |
Execution stream operations | |
Service functions | |
BLAS functions | |
▼Types | |
Generic | |
▼Auxiliary types for memory description | |
Operation descriptors | |
Engine | |
Primitive descriptor iterators | |
Primitive descriptors | |
Primitive descriptor attributes | |
Primitive | |
Queries | |
Execution stream | |
▼C++ API | |
Utils | |
Common data types and enumerations | A proxy to Types in C API |
Attributes | An extension for controlling primitive behavior |
Engine | Engine operations |
▼Memory and memory related operations | |
Memory | A primitive to describe and store data |
Reorder | A primitive to copy data between memory formats |
View | A primitive to view on a memory |
Concat | A primitive to concatenate data by arbitrary dimension |
Sum | A primitive to sum data |
▼Primitives | |
Primitive descriptors | |
Convolution | A primitive to compute convolution using different algorithms |
Deconvolution | A primitive to compute deconvolution using different algorithms |
LRN | A primitive to perform local response normalization (LRN) across or within channels |
Pooling | A primitive to perform max or average pooling |
Eltwise | A primitive to compute element wise operations like parametric rectifier linear unit (ReLU) |
Softmax | A primitive to perform softmax |
Batch normalization | A primitive to perform batch normalization |
Inner Product | A primitive to compute an inner product |
RNN | A primitive to compute common recurrent layer |
Shuffle | A primitive to shuffle data along the axis |
Stream | Execution stream operations |