380 lines
14 KiB
C++
380 lines
14 KiB
C++
#include <helpers/ConstantTadHelper.h>
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#include <helpers/Loops.h>
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#include <helpers/OmpLaunchHelper.h>
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#include <helpers/ShapeBuilders.h>
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#include <loops/legacy_ops.h>
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#include <loops/reduce_float.h>
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#include <system/op_boilerplate.h>
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#include <types/types.h>
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#include <algorithm>
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using namespace simdOps;
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namespace functions {
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namespace reduce {
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// =============================================================================
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// TYPE-SAFE UTILITIES FOR ALL NUMERIC TYPES INCLUDING FLOAT16
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// =============================================================================
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namespace SafeTypeUtils {
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/**
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* @brief Type-safe array initialization that works with float16 and all other types
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*/
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template<typename T>
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SD_INLINE void initializeArray(T* array, size_t count) {
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if constexpr (std::is_arithmetic_v<T>) {
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// For arithmetic types including float16, use loop initialization
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for (size_t i = 0; i < count; i++) {
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array[i] = static_cast<T>(0);
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}
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} else {
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// For non-arithmetic types, use default initialization
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std::fill_n(array, count, T{});
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}
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}
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/**
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* @brief Safe type conversion for mixed-type operations
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*/
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template<typename From, typename To>
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SD_INLINE constexpr To safeCast(const From& value) {
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return static_cast<To>(value);
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}
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/**
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* @brief Convert parameter arrays between types safely
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*/
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template<typename SourceType, typename TargetType>
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SD_INLINE void convertParams(const SourceType* source, TargetType* target, size_t count = 8) {
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if (source && target) {
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for (size_t i = 0; i < count; i++) {
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target[i] = safeCast<SourceType, TargetType>(source[i]);
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}
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}
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}
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/**
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* @brief Determine appropriate parameter type for mixed operations
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* For float16, use float for better compatibility; otherwise use Z type
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*/
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template<typename X, typename Z>
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struct CompatibleParamType {
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using type = typename std::conditional_t<
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std::is_same_v<Z, float16> || std::is_same_v<Z, bfloat16>,
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float, // Use float for half-precision types
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Z // Use Z for all other types
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>;
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};
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} // namespace SafeTypeUtils
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// =============================================================================
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// REDUCE FLOAT FUNCTION IMPLEMENTATION WITH FLOAT16 SUPPORT
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// =============================================================================
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template <typename X, typename Z>
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template <typename OpType>
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void SD_HOST ReduceFloatFunction<X, Z>::execScalar(const void *vx, const sd::LongType *xShapeInfo, void *vextraParams,
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void *vz, const sd::LongType *zShapeInfo) {
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auto x = reinterpret_cast<const X *>(vx);
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auto z = reinterpret_cast<Z *>(vz);
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// Convert to Z* for consistency with macro expectations
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Z *extraParams = nullptr;
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Z convertedParams[8];
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if (vextraParams != nullptr) {
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if constexpr (std::is_same_v<Z, X>) {
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extraParams = reinterpret_cast<Z*>(vextraParams);
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} else {
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// Convert parameters to Z type
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auto originalParams = reinterpret_cast<X*>(vextraParams);
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for (int i = 0; i < 8; ++i) {
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convertedParams[i] = static_cast<Z>(originalParams[i]);
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}
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extraParams = convertedParams;
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}
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}
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const auto length = shape::length(xShapeInfo);
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if (shape::isEmptyConst(xShapeInfo)) {
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z[0] = static_cast<Z>(OpType::startingValue(x));
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return;
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}
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if (sd::ArrayOptions::arrayType(xShapeInfo) == sd::ArrayType::EMPTY) {
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if (sd::ArrayOptions::arrayType(zShapeInfo) == sd::ArrayType::EMPTY) return;
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const auto startingVal = static_cast<Z>(OpType::startingValue(x));
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for (sd::LongType i = 0; i < length; i++) {
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z[i] = startingVal;
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}
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return;
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}
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auto startingValue = static_cast<typename OpType::InterType>(OpType::startingValue(x));
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int maxThreads = sd::math::sd_min<int>(64, sd::Environment::getInstance().maxThreads());
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typename OpType::InterType intermediate[64];
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PRAGMA_OMP_SIMD
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for (auto e = 0; e < maxThreads; e++) {
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intermediate[e] = startingValue;
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}
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sd::LongType xRank = shape::rank(xShapeInfo);
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sd::LongType* xShape = shape::shapeOf(xShapeInfo);
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sd::LongType* xStride = shape::stride(xShapeInfo);
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if(shape::isViewConst(xShapeInfo)) {
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auto func = PRAGMA_THREADS_FOR {
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for (auto i = start; i < stop; i++) {
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sd::LongType coords[SD_MAX_RANK];
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INDEX2COORDS(i, xRank, xShape, coords);
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sd::LongType indexOffset;
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COORDS2INDEX(xRank, xStride, coords, indexOffset);
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auto opResult = OpType::op(x[indexOffset], extraParams);
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intermediate[thread_id] = OpType::update(
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intermediate[thread_id],
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opResult,
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extraParams
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);
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}
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};
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maxThreads = samediff::Threads::parallel_for(func, 0, length, 1, maxThreads);
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PRAGMA_OMP_SIMD
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for (int e = 1; e < maxThreads; e++) {
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intermediate[0] = OpType::merge(intermediate[0], intermediate[e], extraParams);
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}
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z[0] = OpType::postProcess(intermediate[0], length, extraParams);
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} else {
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auto func = PRAGMA_THREADS_FOR {
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for (auto i = start; i < stop; i++) {
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auto opResult = OpType::op(x[i], extraParams);
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intermediate[thread_id] = OpType::update(
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intermediate[thread_id],
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opResult,
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extraParams
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);
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}
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};
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maxThreads = samediff::Threads::parallel_for(func, 0, length, 1, maxThreads);
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PRAGMA_OMP_SIMD
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for (int e = 1; e < maxThreads; e++) {
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intermediate[0] = OpType::merge(intermediate[0], intermediate[e], extraParams);
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}
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z[0] = OpType::postProcess(intermediate[0], length, extraParams);
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}
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}
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template <typename X, typename Z>
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template <typename OpType>
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Z SD_HOST ReduceFloatFunction<X, Z>::execScalar(const void *vx, const sd::LongType *xShapeInfo, void *vextraParams) {
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auto x = reinterpret_cast<const X *>(vx);
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// Convert to Z* for compatibility with OpType::op
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Z *extraParams = nullptr;
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Z convertedParams[8];
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if (vextraParams != nullptr) {
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if constexpr (std::is_same_v<Z, X>) {
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extraParams = reinterpret_cast<Z*>(vextraParams);
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} else {
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// Convert the parameters to Z type
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auto originalParams = reinterpret_cast<X*>(vextraParams);
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for (int i = 0; i < 8; ++i) {
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convertedParams[i] = static_cast<Z>(originalParams[i]);
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}
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extraParams = convertedParams;
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}
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}
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const sd::LongType length = shape::length(xShapeInfo);
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auto startingValue = static_cast<typename OpType::InterType>(OpType::startingValue(x));
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sd::LongType xRank = shape::rank(xShapeInfo);
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sd::LongType *xShape = shape::shapeOf(xShapeInfo);
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sd::LongType *xStride = shape::stride(xShapeInfo);
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for (sd::LongType i = 0; i < length; i++) {
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sd::LongType coords[SD_MAX_RANK];
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INDEX2COORDS(i, xRank, xShape, coords);
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sd::LongType offset;
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COORDS2INDEX(xRank, xStride, coords, offset);
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auto opResult = OpType::op(x[offset], extraParams);
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startingValue = OpType::update(startingValue, opResult, extraParams);
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}
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return OpType::postProcess(startingValue, length, extraParams);
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}
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template <typename X, typename Z>
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template <typename OpType>
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void SD_HOST ReduceFloatFunction<X, Z>::exec(sd::memory::Workspace *workspace, const void *vx,
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const sd::LongType *xShapeInfo, void *vextraParams, void *vz,
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const sd::LongType *zShapeInfo, const sd::LongType *dims) {
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const X *x = reinterpret_cast<const X *>(vx);
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Z *z = reinterpret_cast<Z *>(vz);
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using CompatibleParamType = typename SafeTypeUtils::CompatibleParamType<X, Z>::type;
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CompatibleParamType *compatibleExtraParams = nullptr;
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CompatibleParamType convertedParams[8];
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SafeTypeUtils::initializeArray(convertedParams, 8);
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if (vextraParams != nullptr) {
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if constexpr (std::is_same_v<X, CompatibleParamType>) {
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compatibleExtraParams = reinterpret_cast<CompatibleParamType*>(vextraParams);
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} else {
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SafeTypeUtils::convertParams(reinterpret_cast<X*>(vextraParams), convertedParams, 8);
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compatibleExtraParams = convertedParams;
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}
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}
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const int xRank = shape::rank(xShapeInfo);
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const int zRank = shape::rank(zShapeInfo);
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if (sd::ArrayOptions::arrayType(xShapeInfo) == sd::ArrayType::EMPTY) {
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const auto startingVal = std::is_same<OpType, simdOps::Mean<X, Z>>::value
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? sd::DataTypeUtils::nanOrZero<Z>()
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: SafeTypeUtils::safeCast<X, Z>(OpType::startingValue(x));
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const auto zLen = shape::length(zShapeInfo);
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if (z != nullptr)
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for (sd::LongType i = 0; i < zLen; i++) z[i] = startingVal;
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return;
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}
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if (shape::length(zShapeInfo) == 1) {
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z[0] = execScalar<OpType>(x, xShapeInfo, compatibleExtraParams);
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return;
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}
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if (OpType::requiresSpecialAccumulation) {
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// FIXED: Handle execSpecial with flexible parameter types
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// The enhanced macro provides template overloads that accept any arithmetic type
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if constexpr (std::is_same_v<CompatibleParamType, sd::LongType>) {
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// Direct call for sd::LongType parameters
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OpType::execSpecial(x, xShapeInfo, compatibleExtraParams, z, zShapeInfo,
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const_cast<sd::LongType *>(dims) + zRank, xRank - zRank,
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nullptr, nullptr);
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} else {
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// Convert to sd::LongType for operations that specifically need it
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sd::LongType longExtraParams[8];
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SafeTypeUtils::initializeArray(longExtraParams, 8);
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if (compatibleExtraParams != nullptr) {
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SafeTypeUtils::convertParams(compatibleExtraParams, longExtraParams, 8);
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}
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// Use template overload that accepts sd::LongType*
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OpType::execSpecial(x, xShapeInfo, longExtraParams, z, zShapeInfo,
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const_cast<sd::LongType *>(dims) + zRank, xRank - zRank,
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nullptr, nullptr);
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}
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return;
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}
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#ifdef SD_LOOPS_INLINED
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sd::ReductionLoops<X, Z, CompatibleParamType>::template loopReduce<OpType>(workspace, x, xShapeInfo, z, zShapeInfo, dims, compatibleExtraParams);
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#else
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sd::ReductionFloatLoops<X, Z>::template innerloopReduce<OpType>(workspace, x, xShapeInfo, z, zShapeInfo, dims, compatibleExtraParams);
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#endif
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}
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template <typename X, typename Z>
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Z ReduceFloatFunction<X, Z>::execScalar(const int opNum, const void *x, const sd::LongType *xShapeInfo,
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void *extraParams) {
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RETURNING_DISPATCH_BY_OPNUM_TT(execScalar, PARAMS(x, xShapeInfo, extraParams), REDUCE_FLOAT_OPS);
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}
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template <typename X, typename Z>
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void ReduceFloatFunction<X, Z>::execScalar(const int opNum, const void *x, const sd::LongType *xShapeInfo,
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void *extraParams, void *z, const sd::LongType *zShapeInfo) {
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DISPATCH_BY_OPNUM_TT(execScalar, PARAMS(x, xShapeInfo, extraParams, z, zShapeInfo), REDUCE_FLOAT_OPS);
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}
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template <typename X, typename Z>
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template <typename OpType>
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void SD_HOST ReduceFloatFunction<X, Z>::exec(const void *x, const sd::LongType *xShapeInfo, void *extraParams,
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void *vresult, const sd::LongType *resultShapeInfo) {
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auto z = reinterpret_cast<Z *>(vresult);
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z[0] = execScalar<OpType>(x, xShapeInfo, extraParams);
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}
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template <typename X, typename Z>
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template <typename OpType>
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Z SD_HOST ReduceFloatFunction<X, Z>::execScalar(const void *vx, sd::LongType xEws, sd::LongType length,
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void *vextraParams) {
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auto x = reinterpret_cast<const X *>(vx);
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using CompatibleParamType = typename SafeTypeUtils::CompatibleParamType<X, Z>::type;
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CompatibleParamType *compatibleExtraParams = nullptr;
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CompatibleParamType convertedParams[8];
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SafeTypeUtils::initializeArray(convertedParams, 8);
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if (vextraParams != nullptr) {
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if constexpr (std::is_same_v<X, CompatibleParamType>) {
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compatibleExtraParams = reinterpret_cast<CompatibleParamType*>(vextraParams);
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} else {
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SafeTypeUtils::convertParams(reinterpret_cast<X*>(vextraParams), convertedParams, 8);
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compatibleExtraParams = convertedParams;
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}
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}
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int maxThreads = sd::math::sd_min<int>(64, sd::Environment::getInstance().maxThreads());
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using InterType = typename OpType::InterType;
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InterType intermediate[64];
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PRAGMA_OMP_SIMD
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for (auto e = 0; e < maxThreads; e++) {
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intermediate[e] = SafeTypeUtils::safeCast<X, InterType>(OpType::startingValue(x));
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}
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auto func = PRAGMA_THREADS_FOR {
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if (xEws == 1) {
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for (auto i = start; i < stop; i++) {
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auto opResult = OpType::op(x[i], compatibleExtraParams);
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intermediate[thread_id] = OpType::update(
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intermediate[thread_id],
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SafeTypeUtils::safeCast<decltype(opResult), InterType>(opResult),
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compatibleExtraParams
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);
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}
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} else {
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for (auto i = start; i < stop; i++) {
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auto opResult = OpType::op(x[i * xEws], compatibleExtraParams);
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intermediate[thread_id] = OpType::update(
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intermediate[thread_id],
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SafeTypeUtils::safeCast<decltype(opResult), InterType>(opResult),
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compatibleExtraParams
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);
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}
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}
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};
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maxThreads = samediff::Threads::parallel_for(func, 0, length, 1, maxThreads);
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for (int e = 1; e < maxThreads; e++)
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intermediate[0] = OpType::update(intermediate[0], intermediate[e], compatibleExtraParams);
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return SafeTypeUtils::safeCast<InterType, Z>(OpType::postProcess(intermediate[0], length, compatibleExtraParams));
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}
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template <typename X, typename Z>
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void ReduceFloatFunction<X, Z>::exec(int opNum, sd::memory::Workspace *workspace, const void *vx,
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const sd::LongType *xShapeInfo, void *vextraParams, void *vz,
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const sd::LongType *zShapeInfo, const sd::LongType *dims) {
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DISPATCH_BY_OPNUM_TT(exec, PARAMS(workspace, vx, xShapeInfo, vextraParams, vz, zShapeInfo, dims), REDUCE_FLOAT_OPS);
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}
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} // namespace reduce
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} // namespace functions
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