Intel® oneAPI Deep Neural Network Developer Guide and Reference
ID
768875
Date
6/30/2025
Public
Abs
AbsBackward
Add
AvgPool
AvgPoolBackward
BatchNormForwardTraining
BatchNormInference
BatchNormTrainingBackward
BiasAdd
BiasAddBackward
Clamp
ClampBackward
Concat
Convolution
ConvolutionBackwardData
ConvolutionBackwardWeights
ConvTranspose
ConvTransposeBackwardData
ConvTransposeBackwardWeights
Dequantize
Divide
DynamicDequantize
DynamicQuantize
Elu
EluBackward
End
Exp
GroupNorm
GELU
GELUBackward
HardSigmoid
HardSigmoidBackward
HardSwish
HardSwishBackward
Interpolate
InterpolateBackward
LayerNorm
LayerNormBackward
LeakyReLU
Log
LogSoftmax
LogSoftmaxBackward
MatMul
Maximum
MaxPool
MaxPoolBackward
Minimum
Mish
MishBackward
Multiply
Pow
PReLU
PReLUBackward
Quantize
Reciprocal
ReduceL1
ReduceL2
ReduceMax
ReduceMean
ReduceMin
ReduceProd
ReduceSum
ReLU
ReLUBackward
Reorder
Round
Select
Sigmoid
SigmoidBackward
SoftMax
SoftMaxBackward
SoftPlus
SoftPlusBackward
Sqrt
SqrtBackward
Square
SquaredDifference
StaticReshape
StaticTranspose
Subtract
Tanh
TanhBackward
TypeCast
Wildcard
enum dnnl_alg_kind_t
enum dnnl_normalization_flags_t
enum dnnl_primitive_kind_t
enum dnnl_prop_kind_t
enum dnnl_query_t
enum dnnl::normalization_flags
enum dnnl::query
struct dnnl_exec_arg_t
struct dnnl_primitive
struct dnnl_primitive_desc
struct dnnl::primitive
struct dnnl::primitive_desc
struct dnnl::primitive_desc_base
enum dnnl_rnn_direction_t
enum dnnl_rnn_flags_t
enum dnnl::rnn_direction
enum dnnl::rnn_flags
struct dnnl::augru_backward
struct dnnl::augru_forward
struct dnnl::gru_backward
struct dnnl::gru_forward
struct dnnl::lbr_augru_backward
struct dnnl::lbr_augru_forward
struct dnnl::lbr_gru_backward
struct dnnl::lbr_gru_forward
struct dnnl::lstm_backward
struct dnnl::lstm_forward
struct dnnl::rnn_primitive_desc_base
struct dnnl::vanilla_rnn_backward
struct dnnl::vanilla_rnn_forward
namespace dnnl::graph::sycl_interop
Overview
SYCL interoperability namespace. More…
namespace sycl_interop {
// global functions
allocator make_allocator(
dnnl_graph_sycl_allocate_f sycl_malloc,
dnnl_graph_sycl_deallocate_f sycl_free
);
engine make_engine_with_allocator(
const sycl::device& adevice,
const sycl::context& acontext,
const allocator& alloc
);
sycl::event execute(
compiled_partition& c_partition,
stream& astream,
const std::vector<tensor>& inputs,
std::vector<tensor>& outputs,
const std::vector<sycl::event>& deps = {}
);
} // namespace sycl_interop
Detailed Documentation
SYCL interoperability namespace.
Global Functions
allocator make_allocator(
dnnl_graph_sycl_allocate_f sycl_malloc,
dnnl_graph_sycl_deallocate_f sycl_free
)
Constructs an allocator from SYCL malloc and free function pointer.
SYCL allocator should be used for SYCL runtime and host allocator should be used for non-SYCL. Currently, only device USM allocator is supported.
Parameters:
sycl_malloc |
The pointer to SYCL malloc function |
sycl_free |
The pointer to SYCL free function |
Returns:
Created allocator
sycl::event execute(
compiled_partition& c_partition,
stream& astream,
const std::vector<tensor>& inputs,
std::vector<tensor>& outputs,
const std::vector<sycl::event>& deps = {}
)
Executes a compiled partition in a specified stream and returns a SYCL event.
Parameters:
c_partition |
Compiled partition to execute. |
astream |
Stream object to run over |
inputs |
Arguments map. |
outputs |
Arguments map. |
deps |
Optional vector with sycl::event dependencies. |
Returns:
Output event.