feat(cpp-object-oriented-modular-refactoring): step 10 - dense-blas-adapter
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+16
-24
@@ -2,32 +2,22 @@
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#include <mkl.h>
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#include <limits>
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#include <stdexcept>
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#include <utility>
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#include "math/dense_blas_internal.h"
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namespace fesa {
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namespace {
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/// @brief Converts a dense vector size to the private MKL integer contract.
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MKL_INT ToMklSize(const std::size_t size) {
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if (size > static_cast<std::size_t>((std::numeric_limits<MKL_INT>::max)())) {
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/// @brief Preserves the Vector exception contract around private size
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/// conversion.
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MKL_INT MklSizeOrThrow(const std::size_t size) {
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const auto converted = dense_blas_internal::ToMklSize(size);
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if (!converted.HasValue()) {
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throw std::length_error{"Dense vector size exceeds the MKL integer range."};
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}
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return static_cast<MKL_INT>(size);
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}
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/// @brief Copies owned values without exposing the dense backend publicly.
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void CopyValues(const std::vector<double>& source,
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std::vector<double>& destination) {
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if (source.empty()) {
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return;
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}
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// Keep the backend operation in this translation unit so public ownership
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// remains independent of MKL headers and integer types.
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cblas_dcopy(ToMklSize(source.size()), source.data(), 1, destination.data(),
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1);
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return converted.Value();
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}
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} // namespace
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@@ -36,7 +26,8 @@ Vector::Vector(const std::size_t size, const double value)
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: values_(size, value) {}
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Vector::Vector(const Vector& other) : values_(other.Size()) {
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CopyValues(other.values_, values_);
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dense_blas_internal::CopyValues(other.values_.data(), other.values_.size(),
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values_.data());
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}
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Vector::Vector(Vector&& other) noexcept : values_(std::move(other.values_)) {
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@@ -46,7 +37,8 @@ Vector::Vector(Vector&& other) noexcept : values_(std::move(other.values_)) {
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Vector& Vector::operator=(const Vector& other) {
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if (this != &other) {
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std::vector<double> copied(other.Size());
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CopyValues(other.values_, copied);
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dense_blas_internal::CopyValues(other.values_.data(), other.values_.size(),
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copied.data());
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values_.swap(copied);
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}
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return *this;
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@@ -83,7 +75,7 @@ double Vector::Dot(const Vector& rhs) const {
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return 0.0;
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}
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return cblas_ddot(ToMklSize(Size()), Data(), 1, rhs.Data(), 1);
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return cblas_ddot(MklSizeOrThrow(Size()), Data(), 1, rhs.Data(), 1);
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}
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double Vector::Norm() const {
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@@ -91,7 +83,7 @@ double Vector::Norm() const {
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return 0.0;
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}
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return cblas_dnrm2(ToMklSize(Size()), Data(), 1);
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return cblas_dnrm2(MklSizeOrThrow(Size()), Data(), 1);
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}
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void Vector::Scale(const double alpha) {
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@@ -99,7 +91,7 @@ void Vector::Scale(const double alpha) {
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return;
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}
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cblas_dscal(ToMklSize(Size()), alpha, Data(), 1);
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cblas_dscal(MklSizeOrThrow(Size()), alpha, Data(), 1);
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}
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void Vector::Axpy(const double alpha, const Vector& x) {
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@@ -110,7 +102,7 @@ void Vector::Axpy(const double alpha, const Vector& x) {
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return;
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}
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cblas_daxpy(ToMklSize(Size()), alpha, x.Data(), 1, Data(), 1);
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cblas_daxpy(MklSizeOrThrow(Size()), alpha, x.Data(), 1, Data(), 1);
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}
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} // namespace fesa
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