mirror of
https://github.com/StepanovPlaton/NeuralNetwork.git
synced 2026-04-03 20:30:39 +04:00
Tensor math OpenCL lib
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@@ -38,8 +38,8 @@ public:
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using ITensor::operator+;
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using ITensor::operator-;
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Tensor operator+() override;
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Tensor operator-() override;
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Tensor operator+() const override;
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Tensor operator-() const override;
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Tensor &operator+=(const T scalar) override;
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@@ -2,6 +2,7 @@
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#include "tensor.hpp"
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#include <iostream>
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#include <random>
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#include <sstream>
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@@ -79,13 +80,15 @@ const T &Tensor<T, Dim>::operator()(Indices... indices) const {
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}
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// ===== OPERATORS =====
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template <typename T, int Dim> Tensor<T, Dim> Tensor<T, Dim>::operator+() {
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template <typename T, int Dim>
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Tensor<T, Dim> Tensor<T, Dim>::operator+() const {
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Tensor result = *this;
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for (T &e : result.data_)
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e = +e;
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return result;
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}
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template <typename T, int Dim> Tensor<T, Dim> Tensor<T, Dim>::operator-() {
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template <typename T, int Dim>
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Tensor<T, Dim> Tensor<T, Dim>::operator-() const {
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Tensor result = *this;
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for (T &e : result.data_)
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e = -e;
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@@ -156,46 +159,5 @@ Tensor<T, Dim>::operator%(const Tensor &other) const {
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// ===== UTILS =====
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template <typename T, int Dim> std::string Tensor<T, Dim>::toString() const {
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std::ostringstream oss;
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if constexpr (Dim == 0) {
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oss << "Scalar<" << typeid(T).name() << ">: " << data_[0];
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} else if constexpr (Dim == 1) {
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oss << "Vector<" << typeid(T).name() << ">(" << shape_[0] << "): [";
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for (size_t i = 0; i < getSize(); ++i) {
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oss << data_[i];
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if (i < getSize() - 1)
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oss << ", ";
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}
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oss << "]";
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} else if constexpr (Dim == 2) {
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oss << "Matrix<" << typeid(T).name() << ">(" << shape_[axes_[0]] << "x"
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<< shape_[axes_[1]] << "):";
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for (size_t i = 0; i < shape_[axes_[0]]; ++i) {
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oss << "\n [";
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for (size_t j = 0; j < shape_[axes_[1]]; ++j) {
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oss << (*this)(i, j);
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if (j < shape_[axes_[1]] - 1)
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oss << ", ";
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}
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oss << "]";
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}
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} else {
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oss << "Tensor" << Dim << "D<" << typeid(T).name() << ">" << "[";
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for (size_t i = 0; i < Dim; ++i) {
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oss << shape_[axes_[i]];
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if (i < Dim - 1)
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oss << "x";
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}
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oss << "]: [";
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size_t show = std::min(getSize(), size_t(10));
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for (size_t i = 0; i < show; ++i) {
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oss << data_[i];
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if (i < show - 1)
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oss << ", ";
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}
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if (getSize() > 10)
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oss << ", ...";
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oss << "]";
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}
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return oss.str();
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return ITensor::format(data_);
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}
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