|
| Primitive descriptors |
|
| Convolution |
| Computes a forward propagation, backward propagation, or weight update for convolution operation with bias on a batch of multi-dimensional tensors.
|
|
| 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 such as rectified linear unit (ReLU).
|
|
| Softmax |
| A primitive to perform softmax.
|
|
| Batch normalization |
| A primitive to perform batch normalization.
|
|
| layer normalization |
| A primitive to perform layer 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.
|
|
| Binary |
| A primitive to perform tensor operations over two tensors.
|
|