Files
deeplearning4j--deeplearning4j/libnd4j/include/legacy/cpu/NativeOpExecutioner_scalar_bool.cpp
T
2026-07-13 12:47:05 +08:00

44 lines
2.0 KiB
C++

/* ******************************************************************************
*
* Scalar operations - BOOL TYPES ONLY (non-TAD version)
*
******************************************************************************/
#include <array/DataTypeUtils.h>
#include <exceptions/datatype_exception.h>
#include <execution/Threads.h>
#include <legacy/NativeOpExecutioner.h>
#include <loops/scalar.h>
#include <system/op_boilerplate.h>
#include <types/types.h>
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execScalarBool(sd::LaunchContext *lc, int opNum, const void *hX, const sd::LongType *hXShapeInfo,
const void *dX, const sd::LongType *dXShapeInfo, void *hZ,
const sd::LongType *hZShapeInfo, void *dZ, const sd::LongType *dZShapeInfo,
const void *hScalar, const sd::LongType *hScalarShapeInfo, const void *dScalar,
const sd::LongType *dScalarShapeInfo, void *extraParams, bool allowParallelism) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
// Only handle operations that result in boolean output
if (zType != sd::DataType::BOOL) {
return; // Let other files handle non-bool result types
}
auto func = PRAGMA_THREADS_FOR {
BUILD_TRIPLE_SELECTOR(xType,yType,zType,functions::scalar::ScalarTransform,
::transform(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, hScalar, extraParams, start, stop),
SD_COMMON_TYPES,SD_COMMON_TYPES,SD_BOOL_TYPES);
};
auto zLen = shape::length(hZShapeInfo);
samediff::Threads::parallel_for(
func, 0, zLen, 1,
!allowParallelism
? 1
: sd::math::sd_max<int>(
1, sd::math::sd_min<int>(zLen / 1024, sd::Environment::getInstance().maxMasterThreads())));
}