timemory 3.3.0
Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.
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Implementation of the data_tracker component(s) More...
#include "timemory/components/base.hpp"
#include "timemory/components/data_tracker/types.hpp"
#include "timemory/data/handler.hpp"
#include "timemory/mpl/concepts.hpp"
#include "timemory/mpl/types.hpp"
#include "timemory/settings/declaration.hpp"
#include "timemory/units.hpp"
#include <cassert>
#include <cstdint>
#include <limits>
#include <memory>
#include <sstream>
#include <string>
#include <type_traits>
#include <unordered_map>
#include <utility>
Go to the source code of this file.
Classes | |
struct | tim::component::data_tracker< InpT, Tag > |
This component is provided to facilitate data tracking. The first template parameter is the type of data to be tracked, the second is a custom tag for differentiating trackers which handle the same data types but record different high-level data. More... | |
class | tim::component::data_tracker< InpT, Tag >::vector_map< LhsT, RhsT, HashT > |
Namespaces | |
namespace | tim |
namespace | tim::component |
Typedefs | |
template<typename T > | |
using | tim::component::data_handler_t = typename T::handler_type |
an alias for getting the handle_type of a data tracker More... | |
using | tim::component::data_tracker_integer = data_tracker< intmax_t, TIMEMORY_API > |
using | tim::component::data_tracker_unsigned = data_tracker< size_t, TIMEMORY_API > |
using | tim::component::data_tracker_floating = data_tracker< double, TIMEMORY_API > |
Implementation of the data_tracker component(s)
Definition in file components.hpp.