Visible to Intel only — GUID: GUID-8ED5979C-6E90-4919-AF0B-59F0129690A8
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
Visible to Intel only — GUID: GUID-8ED5979C-6E90-4919-AF0B-59F0129690A8
Service
Overview
A set of functions that aid in oneDNN debugging and profiling. More…
// typedefs
typedef dnnl_version_t dnnl::version_t;
// enums
enum dnnl::cpu_isa;
enum dnnl::cpu_isa_hints;
enum dnnl_cpu_isa_hints_t;
enum dnnl_cpu_isa_t;
enum dnnl::status;
// structs
struct dnnl_version_t;
// global functions
status dnnl::set_verbose(int level);
const version_t* dnnl::version();
fpmath_mode dnnl::get_default_fpmath_mode();
status dnnl::set_default_fpmath_mode(fpmath_mode mode);
status dnnl::set_jit_dump(int enable);
status dnnl::set_jit_profiling_flags(unsigned flags);
status dnnl::set_jit_profiling_jitdumpdir(const std::string& dir);
status dnnl::set_max_cpu_isa(cpu_isa isa);
cpu_isa dnnl::get_effective_cpu_isa();
status dnnl::set_cpu_isa_hints(cpu_isa_hints isa_hints);
cpu_isa_hints dnnl::get_cpu_isa_hints();
dnnl_status_t DNNL_API dnnl_set_jit_dump(int enable);
dnnl_status_t DNNL_API dnnl_set_jit_profiling_flags(unsigned flags);
dnnl_status_t DNNL_API dnnl_set_jit_profiling_jitdumpdir(const char* dir);
dnnl_status_t DNNL_API dnnl_set_max_cpu_isa(dnnl_cpu_isa_t isa);
dnnl_cpu_isa_t DNNL_API dnnl_get_effective_cpu_isa(void);
dnnl_status_t DNNL_API dnnl_set_cpu_isa_hints(dnnl_cpu_isa_hints_t isa_hints);
dnnl_cpu_isa_hints_t DNNL_API dnnl_get_cpu_isa_hints(void);
dnnl_status_t DNNL_API dnnl_set_verbose(int level);
const dnnl_version_t DNNL_API* dnnl_version(void);
// macros
#define DNNL_JIT_PROFILE_LINUX_JITDUMP
#define DNNL_JIT_PROFILE_LINUX_JITDUMP_USE_TSC
#define DNNL_JIT_PROFILE_LINUX_PERF
#define DNNL_JIT_PROFILE_LINUX_PERFMAP
#define DNNL_JIT_PROFILE_NONE
#define DNNL_JIT_PROFILE_VTUNEDetailed Documentation
A set of functions that aid in oneDNN debugging and profiling.
Typedefs
typedef dnnl_version_t dnnl::version_tStructure containing version information as per Semantic Versioning
Global Functions
status dnnl::set_verbose(int level)Configures verbose output to stdout.
NOTE:
Enabling verbose output affects performance. This setting overrides the ONEDNN_VERBOSE environment variable.
Parameters:
level |
Verbosity level:
|
Returns:
dnnl_invalid_arguments / dnnl::status::invalid_arguments if the level value is invalid, and dnnl_success / dnnl::status::success on success.
const version_t* dnnl::version()Returns library version information.
Returns:
Pointer to a constant structure containing
major: major version number,
minor: minor version number,
patch: patch release number,
hash: git commit hash.
fpmath_mode dnnl::get_default_fpmath_mode()Returns the floating-point math mode that will be used by default for all subsequently created primitives.
Returns:
Output FP math mode.
status dnnl::set_default_fpmath_mode(fpmath_mode mode)Sets the floating-point math mode that will be used by default for all subsequently created primitives.
Parameters:
mode |
FP math mode. The possible values are: dnnl_fpmath_mode_strict, dnnl_fpmath_mode_bf16, dnnl_fpmath_mode_f16, dnnl_fpmath_mode_tf32, dnnl_fpmath_mode_any. |
Returns:
dnnl_success on success and a status describing the error otherwise.
status dnnl::set_jit_dump(int enable)Configures dumping of JIT-generated code.
NOTE:
This setting overrides the DNNL_JIT_DUMP environment variable.
Parameters:
enable |
Flag value. Set to 0 to disable and set to 1 to enable. |
Returns:
dnnl_invalid_arguments / dnnl::status::invalid_arguments if the flag value is invalid, and dnnl_success / dnnl::status::success on success.
status dnnl::set_jit_profiling_flags(unsigned flags)Sets library profiling flags.
The flags define which profilers are supported.
NOTE:
This setting overrides DNNL_JIT_PROFILE environment variable.
Passing DNNL_JIT_PROFILE_NONE disables profiling completely.
Parameters:
flags |
Profiling flags that can contain the following bits:
|
Returns:
dnnl_invalid_arguments / dnnl::status::invalid_arguments if the flags value is invalid, and dnnl_success / dnnl::status::success on success.
See also:
status dnnl::set_jit_profiling_jitdumpdir(const std::string& dir)Sets JIT dump output path.
Only applicable to Linux and is only used when profiling flags have DNNL_JIT_PROFILE_LINUX_PERF bit set.
After the first JIT kernel is generated, the jitdump output will be placed into temporary directory created using the mkdtemp template ‘dir/.debug/jit/dnnl.XXXXXX’.
NOTE:
This setting overrides JITDUMPDIR environment variable. If JITDUMPDIR is not set, and this function is never called, the path defaults to HOME. Passing NULL reverts the value to default.
NOTE:
The directory is accessed only when the first JIT kernel is being created. JIT profiling will be disabled in case of any errors accessing or creating this directory.
Parameters:
dir |
JIT dump output path. |
Returns:
dnnl_success / dnnl::status::success if the output directory was set correctly and an error status otherwise.
dnnl_unimplemented / dnnl::status::unimplemented on Windows.
See also:
status dnnl::set_max_cpu_isa(cpu_isa isa)Sets the maximal ISA the library can dispatch to on the CPU.
See dnnl_cpu_isa_t and dnnl::cpu_isa for the list of the values accepted by the C and C++ API functions respectively.
This function has effect only once, and returns an error on subsequent calls. It should also be invoked before any other oneDNN API call, otherwise it may return an error.
This function overrides the DNNL_MAX_CPU_ISA environment variable. The environment variable can be set to the desired maximal ISA name in upper case and with dnnl_cpu_isa prefix removed. For example: DNNL_MAX_CPU_ISA=AVX2.
NOTE:
The ISAs are only partially ordered:
SSE41 < AVX < AVX2 < AVX2_VNNI < AVX2_VNNI_2,
AVX2 < AVX512_CORE < AVX512_CORE_VNNI < AVX512_CORE_BF16 < AVX10_1_512 < AVX10_1_512_AMX < AVX10_1_512_AMX_FP16,
AVX2_VNNI < AVX10_1_512. Aliases:
AVX512_CORE_FP16 = AVX10_1_512
AVX512_CORE_AMX = AVX10_1_512_AMX
AVX512_CORE_AMX_FP16 = AVX10_1_512_AMX_FP16
Parameters:
isa |
Maximal ISA the library should dispatch to. Pass dnnl_cpu_isa_default / dnnl::cpu_isa::isa_default to remove ISA restrictions (except for ISAs with initial support in the library). |
Returns:
dnnl_success / dnnl::status::success on success and a dnnl_invalid_arguments / dnnl::status::invalid_arguments if the isa parameter is invalid or the ISA cannot be changed at this time.
dnnl_unimplemented / dnnl::status::unimplemented if the feature was disabled at build time (see Build Options for more details).
See also:
CPU Dispatcher Control for more details
cpu_isa dnnl::get_effective_cpu_isa()Gets the maximal ISA the library can dispatch to on the CPU.
See dnnl_cpu_isa_t and dnnl::cpu_isa for the list of the values returned by the C and C++ API functions respectively.
Returns:
dnnl_cpu_isa_t value reflecting the maximal ISA the library may dispatch to.
See also:
CPU Dispatcher Control for more details
status dnnl::set_cpu_isa_hints(cpu_isa_hints isa_hints)Sets the hints flag for the CPU ISA.
See dnnl_cpu_isa_hints_t and dnnl::cpu_isa_hints for the list of the values accepted by the C and C++ API functions respectively.
This function has effect only once, and returns an error on subsequent calls. It should also be invoked before any other oneDNN API call, otherwise it may return an error.
This function overrides the DNNL_CPU_ISA_HINTS environment variable.
Parameters:
isa_hints |
CPU ISA hints to be passed over to the implementation. Pass dnnl_cpu_isa_no_hints / dnnl::cpu_isa_hints::no_hints to use default features i.e. no hints. |
Returns:
dnnl_success / dnnl::status::success on success and a dnnl_runtime_error / dnnl::status::runtime_error if the ISA hints cannot be specified at the current time.
dnnl_unimplemented / dnnl::status::unimplemented if the feature was disabled at build time (see Build Options for more details).
See also:
CPU ISA Hints for more details
cpu_isa_hints dnnl::get_cpu_isa_hints()Gets the ISA specific hints that library can follow.
See dnnl_cpu_isa_hints_t and dnnl::cpu_isa_hints for the list of the values returned by the C and C++ API functions respectively.
Returns:
dnnl_cpu_isa_hints_t value reflecting the ISA specific hints the library can follow.
See also:
CPU ISA Hints for more details
dnnl_status_t DNNL_API dnnl_set_jit_dump(int enable)Configures dumping of JIT-generated code.
NOTE:
This setting overrides the DNNL_JIT_DUMP environment variable.
Parameters:
enable |
Flag value. Set to 0 to disable and set to 1 to enable. |
Returns:
dnnl_invalid_arguments / dnnl::status::invalid_arguments if the flag value is invalid, and dnnl_success / dnnl::status::success on success.
dnnl_status_t DNNL_API dnnl_set_jit_profiling_flags(unsigned flags)Sets library profiling flags.
The flags define which profilers are supported.
NOTE:
This setting overrides DNNL_JIT_PROFILE environment variable.
Passing DNNL_JIT_PROFILE_NONE disables profiling completely.
Parameters:
flags |
Profiling flags that can contain the following bits:
|
Returns:
dnnl_invalid_arguments / dnnl::status::invalid_arguments if the flags value is invalid, and dnnl_success / dnnl::status::success on success.
See also:
dnnl_status_t DNNL_API dnnl_set_jit_profiling_jitdumpdir(const char* dir)Sets JIT dump output path.
Only applicable to Linux and is only used when profiling flags have DNNL_JIT_PROFILE_LINUX_PERF bit set.
After the first JIT kernel is generated, the jitdump output will be placed into temporary directory created using the mkdtemp template ‘dir/.debug/jit/dnnl.XXXXXX’.
NOTE:
This setting overrides JITDUMPDIR environment variable. If JITDUMPDIR is not set, and this function is never called, the path defaults to HOME. Passing NULL reverts the value to default.
NOTE:
The directory is accessed only when the first JIT kernel is being created. JIT profiling will be disabled in case of any errors accessing or creating this directory.
Parameters:
dir |
JIT dump output path. |
Returns:
dnnl_success / dnnl::status::success if the output directory was set correctly and an error status otherwise.
dnnl_unimplemented / dnnl::status::unimplemented on Windows.
See also:
dnnl_status_t DNNL_API dnnl_set_max_cpu_isa(dnnl_cpu_isa_t isa)Sets the maximal ISA the library can dispatch to on the CPU.
See dnnl_cpu_isa_t and dnnl::cpu_isa for the list of the values accepted by the C and C++ API functions respectively.
This function has effect only once, and returns an error on subsequent calls. It should also be invoked before any other oneDNN API call, otherwise it may return an error.
This function overrides the DNNL_MAX_CPU_ISA environment variable. The environment variable can be set to the desired maximal ISA name in upper case and with dnnl_cpu_isa prefix removed. For example: DNNL_MAX_CPU_ISA=AVX2.
NOTE:
The ISAs are only partially ordered:
SSE41 < AVX < AVX2 < AVX2_VNNI < AVX2_VNNI_2,
AVX2 < AVX512_CORE < AVX512_CORE_VNNI < AVX512_CORE_BF16 < AVX10_1_512 < AVX10_1_512_AMX < AVX10_1_512_AMX_FP16,
AVX2_VNNI < AVX10_1_512. Aliases:
AVX512_CORE_FP16 = AVX10_1_512
AVX512_CORE_AMX = AVX10_1_512_AMX
AVX512_CORE_AMX_FP16 = AVX10_1_512_AMX_FP16
Parameters:
isa |
Maximal ISA the library should dispatch to. Pass dnnl_cpu_isa_default / dnnl::cpu_isa::isa_default to remove ISA restrictions (except for ISAs with initial support in the library). |
Returns:
dnnl_success / dnnl::status::success on success and a dnnl_invalid_arguments / dnnl::status::invalid_arguments if the isa parameter is invalid or the ISA cannot be changed at this time.
dnnl_unimplemented / dnnl::status::unimplemented if the feature was disabled at build time (see Build Options for more details).
See also:
CPU Dispatcher Control for more details
dnnl_cpu_isa_t DNNL_API dnnl_get_effective_cpu_isa(void)Gets the maximal ISA the library can dispatch to on the CPU.
See dnnl_cpu_isa_t and dnnl::cpu_isa for the list of the values returned by the C and C++ API functions respectively.
Returns:
dnnl_cpu_isa_t value reflecting the maximal ISA the library may dispatch to.
See also:
CPU Dispatcher Control for more details
dnnl_status_t DNNL_API dnnl_set_cpu_isa_hints(dnnl_cpu_isa_hints_t isa_hints)Sets the hints flag for the CPU ISA.
See dnnl_cpu_isa_hints_t and dnnl::cpu_isa_hints for the list of the values accepted by the C and C++ API functions respectively.
This function has effect only once, and returns an error on subsequent calls. It should also be invoked before any other oneDNN API call, otherwise it may return an error.
This function overrides the DNNL_CPU_ISA_HINTS environment variable.
Parameters:
isa_hints |
CPU ISA hints to be passed over to the implementation. Pass dnnl_cpu_isa_no_hints / dnnl::cpu_isa_hints::no_hints to use default features i.e. no hints. |
Returns:
dnnl_success / dnnl::status::success on success and a dnnl_runtime_error / dnnl::status::runtime_error if the ISA hints cannot be specified at the current time.
dnnl_unimplemented / dnnl::status::unimplemented if the feature was disabled at build time (see Build Options for more details).
See also:
CPU ISA Hints for more details
dnnl_cpu_isa_hints_t DNNL_API dnnl_get_cpu_isa_hints(void)Gets the ISA specific hints that library can follow.
See dnnl_cpu_isa_hints_t and dnnl::cpu_isa_hints for the list of the values returned by the C and C++ API functions respectively.
Returns:
dnnl_cpu_isa_hints_t value reflecting the ISA specific hints the library can follow.
See also:
CPU ISA Hints for more details
dnnl_status_t DNNL_API dnnl_set_verbose(int level)Configures verbose output to stdout.
NOTE:
Enabling verbose output affects performance. This setting overrides the ONEDNN_VERBOSE environment variable.
Parameters:
level |
Verbosity level:
|
Returns:
dnnl_invalid_arguments / dnnl::status::invalid_arguments if the level value is invalid, and dnnl_success / dnnl::status::success on success.
const dnnl_version_t DNNL_API* dnnl_version(void)Returns library version information.
Returns:
Pointer to a constant structure containing
major: major version number,
minor: minor version number,
patch: patch release number,
hash: git commit hash.
Macros
#define DNNL_JIT_PROFILE_LINUX_JITDUMPEnable Linux perf integration via jitdump files.
#define DNNL_JIT_PROFILE_LINUX_JITDUMP_USE_TSCInstruct Linux perf integration via jitdump files to use TSC.
DNNL_JIT_PROFILE_LINUX_JITDUMP must be set too for this to take effect.
#define DNNL_JIT_PROFILE_LINUX_PERFEnable Linux perf integration (both jitdump and perfmap)
#define DNNL_JIT_PROFILE_LINUX_PERFMAPEnable Linux perf integration via perfmap files.
#define DNNL_JIT_PROFILE_NONEDisable profiling completely.
#define DNNL_JIT_PROFILE_VTUNEEnable VTune Profiler integration.