Intel® oneAPI Deep Neural Network Developer Guide and Reference
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Visible to Intel only — GUID: GUID-05DAE699-8DEA-45E8-9498-8CD25FA9047F
Visible to Intel only — GUID: GUID-05DAE699-8DEA-45E8-9498-8CD25FA9047F
enum dnnl_primitive_kind_t
Overview
Kinds of primitives. More…
#include <dnnl_types.h> enum dnnl_primitive_kind_t { dnnl_undefined_primitive, dnnl_reorder, dnnl_shuffle, dnnl_concat, dnnl_sum, dnnl_convolution, dnnl_deconvolution, dnnl_eltwise, dnnl_lrn, dnnl_batch_normalization, dnnl_inner_product, dnnl_rnn, dnnl_gemm, dnnl_binary, dnnl_matmul, dnnl_resampling, dnnl_pooling, dnnl_reduction, dnnl_prelu, dnnl_softmax, dnnl_layer_normalization, dnnl_group_normalization, dnnl_primitive_kind_max = 0x7fff, };
Detailed Documentation
Kinds of primitives.
Used to implement a way to extend the library with new primitives without changing the ABI.
Enum Values
dnnl_undefined_primitive
Undefined primitive.
dnnl_reorder
A reorder primitive.
dnnl_shuffle
A shuffle primitive.
dnnl_concat
A (out-of-place) concat primitive.
dnnl_sum
A sum primitive.
dnnl_convolution
A convolution primitive.
dnnl_deconvolution
A deconvolution primitive.
dnnl_eltwise
An element-wise primitive.
dnnl_lrn
An LRN primitive.
dnnl_batch_normalization
A batch normalization primitive.
dnnl_inner_product
An inner product primitive.
dnnl_rnn
A rnn primitive.
dnnl_gemm
A matrix multiplication primitive (internal).
dnnl_binary
A binary primitive.
dnnl_matmul
A matrix multiplication primitive.
dnnl_resampling
A resampling primitive.
dnnl_pooling
A pooling primitive.
dnnl_reduction
A reduction primitive.
dnnl_prelu
A PReLU primitive.
dnnl_softmax
A softmax primitive.
dnnl_layer_normalization
A layer normalization primitive.
dnnl_group_normalization
A group normalization primitive.
dnnl_primitive_kind_max
Parameter to allow internal only primitives without undefined behavior.
This parameter is chosen to be valid for so long as sizeof(int) >= 2.