Intel® oneAPI Deep Neural Network Developer Guide and Reference
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Visible to Intel only — GUID: GUID-CB04E4C9-7B29-46B8-8347-F7FCC17885AE
Visible to Intel only — GUID: GUID-CB04E4C9-7B29-46B8-8347-F7FCC17885AE
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.