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| | Common primitive operations |
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| | Attributes |
| | An extension for controlling primitive behavior.
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| | Memory |
| | A primitive to describe and store data.
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| | Reorder |
| | A primitive to copy data between memory formats.
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| | Concat |
| | A primitive to concatenate data by arbitrary dimension.
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| | Sum |
| | A primitive to sum data.
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| | Binary |
| | A primitive to perform tensor operations over two tensors.
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| | Convolution |
| | The convolution primitive computes a forward, backward, or weight update for a batched convolution operation on 1D, 2D, or 3D spatial data with bias.
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| | Deconvolution |
| | A primitive to compute deconvolution using different algorithms.
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| | Shuffle |
| | A primitive to shuffle data along the axis.
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| | Eltwise |
| | A primitive to compute element-wise operations such as parametric rectifier linear unit (ReLU).
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| | Softmax |
| | A primitive to perform softmax.
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| | Pooling |
| | A primitive to perform max or average pooling.
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| | LRN |
| | A primitive to perform local response normalization (LRN) across or within channels.
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| | Batch Normalization |
| | A primitive to perform batch normalization.
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| | Layer Normalization |
| | A primitive to perform layer normalization.
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| | Inner product |
| | A primitive to compute an inner product.
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| | RNN |
| | A primitive to compute the common recurrent layer.
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