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Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.13
Performance library for Deep Learning
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| ▼C API | |
| Engine operations | |
| Execution stream operations | |
| ▼Primitive operations | |
| ▼Attributes | An extension for controlling primitive behavior |
| Sequence of post operations | An extension for performing extra operations after base operation |
| Batch Normalization | A primitive to perform batch normalization
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| Common primitive operations | |
| Concat | A primitive to concatenate data by arbitrary dimension |
| Convolution | A primitive to compute convolution using different algorithms |
| Convolution followed by ReLU | A merged primitive to compute a convolution followed by relu |
| Eltwise | A primitive to compute element wise operations like parametric rectifier linear unit (ReLU) |
| Inner product | A primitive to compute an inner product |
| LRN | A primitive to perform local response normalization (LRN) across or within channels |
| Memory | A primitive to describe data |
| Pooling | A primitive to perform max, min, or average pooling |
| ReLU (deprecated, use Eltwise instead) | A primitive to compute a parametric rectifier linear unit (ReLU) |
| Reorder | A primitive to copy data between memory formats |
| Softmax | A primitive to perform softmax |
| Sum | A primitive to sum data |
| Service functions | |
| ▼Types | |
| ▼Auxiliary types for memory description | |
| Operation descriptors | |
| Engine | |
| Execution stream | |
| Generic | |
| Primitive | |
| Primitive descriptor attributes | |
| Primitive descriptor iterators | |
| Primitive descriptors | |
| Queries | |
| ▼C++ API | |
| Attributes | |
| Common data types and enumerations | |
| Engine | |
| ▼Primitives | |
| Batch normalization | |
| Concat | |
| Convolution | |
| Eltwise | |
| Inner Product | |
| LRN | |
| Memory | |
| Pooling | |
| Reorder | |
| Softmax | |
| Sum | |
| View | |
| Stream | |
| Utils |
1.8.13