stats.cc

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/*
 * Copyright (c) 2017-2019 ARM Limited
 * All rights reserved
 *
 * The license below extends only to copyright in the software and shall
 * not be construed as granting a license to any other intellectual
 * property including but not limited to intellectual property relating
 * to a hardware implementation of the functionality of the software
 * licensed hereunder.  You may use the software subject to the license
 * terms below provided that you ensure that this notice is replicated
 * unmodified and in its entirety in all distributions of the software,
 * modified or unmodified, in source code or in binary form.
 *
 * Copyright (c) 2006 The Regents of The University of Michigan
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are
 * met: redistributions of source code must retain the above copyright
 * notice, this list of conditions and the following disclaimer;
 * redistributions in binary form must reproduce the above copyright
 * notice, this list of conditions and the following disclaimer in the
 * documentation and/or other materials provided with the distribution;
 * neither the name of the copyright holders nor the names of its
 * contributors may be used to endorse or promote products derived from
 * this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
 * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
 * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
 * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
 * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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 * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */
 
#include "config/use_hdf5.hh"
 
#include "pybind11/pybind11.h"
#include "pybind11/stl.h"
 
#include "base/statistics.hh"
#include "base/stats/text.hh"
#if USE_HDF5
#include "base/stats/hdf5.hh"
#endif
#include "sim/stat_control.hh"
#include "sim/stat_register.hh"
 
 
namespace py = pybind11;
 
static const py::object
cast_stat_info(const Stats::Info *info)
{
    /* PyBind11 gets confused by the InfoProxy magic, so we need to
     * explicitly cast to the right wrapper type. */
 
#define TRY_CAST(T) do {                                \
        auto _stat = dynamic_cast<const T *>(info);     \
        if (_stat)                                      \
            return py::cast(_stat);                     \
    } while (0)
 
    TRY_CAST(Stats::ScalarInfo);
    /* FormulaInfo is a subclass of VectorInfo. Therefore, a cast to
     * FormulaInfo must be attempted before a cast to VectorInfo. Otherwise
     * instances of ForumlaInfo will be cast to VectorInfo.
     */
    TRY_CAST(Stats::FormulaInfo);
    TRY_CAST(Stats::VectorInfo);
    TRY_CAST(Stats::DistInfo);
 
    return py::cast(info);
 
#undef TRY_CAST
}
 
namespace Stats {
 
void
pythonDump()
{
    py::module_ m = py::module_::import("m5.stats");
    m.attr("dump")();
}
 
void
pythonReset()
{
    py::module_ m = py::module_::import("m5.stats");
    m.attr("reset")();
}
 
}
 
void
pybind_init_stats(py::module_ &m_native)
{
    py::module_ m = m_native.def_submodule("stats");
 
    m
        .def("initSimStats", &Stats::initSimStats)
        .def("initText", &Stats::initText, py::return_value_policy::reference)
#if USE_HDF5
        .def("initHDF5", &Stats::initHDF5)
#endif
        .def("registerPythonStatsHandlers",
             &Stats::registerPythonStatsHandlers)
        .def("schedStatEvent", &Stats::schedStatEvent)
        .def("periodicStatDump", &Stats::periodicStatDump)
        .def("updateEvents", &Stats::updateEvents)
        .def("processResetQueue", &Stats::processResetQueue)
        .def("processDumpQueue", &Stats::processDumpQueue)
        .def("enable", &Stats::enable)
        .def("enabled", &Stats::enabled)
        .def("statsList", &Stats::statsList)
        ;
 
    py::class_<Stats::Output>(m, "Output")
        .def("begin", &Stats::Output::begin)
        .def("end", &Stats::Output::end)
        .def("valid", &Stats::Output::valid)
        .def("beginGroup", &Stats::Output::beginGroup)
        .def("endGroup", &Stats::Output::endGroup)
        ;
 
    py::class_<Stats::Info, std::unique_ptr<Stats::Info, py::nodelete>>(
        m, "Info")
        .def_readwrite("name", &Stats::Info::name)
        .def_property_readonly("unit", [](const Stats::Info &info) {
                return info.unit->getUnitString();
            })
        .def_readonly("desc", &Stats::Info::desc)
        .def_readonly("id", &Stats::Info::id)
        .def_property_readonly("flags", [](const Stats::Info &info) {
                return (Stats::FlagsType)info.flags;
            })
        .def("check", &Stats::Info::check)
        .def("baseCheck", &Stats::Info::baseCheck)
        .def("enable", &Stats::Info::enable)
        .def("prepare", &Stats::Info::prepare)
        .def("reset", &Stats::Info::reset)
        .def("zero", &Stats::Info::zero)
        .def("visit", &Stats::Info::visit)
        ;
 
    py::class_<Stats::ScalarInfo, Stats::Info,
               std::unique_ptr<Stats::ScalarInfo, py::nodelete>>(
                   m, "ScalarInfo")
        .def_property_readonly("value", [](const Stats::ScalarInfo &info) {
                return info.value();
            })
        .def_property_readonly("result", [](const Stats::ScalarInfo &info) {
                return info.result();
            })
        .def_property_readonly("total", [](const Stats::ScalarInfo &info) {
                return info.total();
            })
        ;
 
    py::class_<Stats::VectorInfo, Stats::Info,
               std::unique_ptr<Stats::VectorInfo, py::nodelete>>(
                    m, "VectorInfo")
        .def_readwrite("subnames", &Stats::VectorInfo::subnames)
        .def_readwrite("subdescs", &Stats::VectorInfo::subdescs)
        .def_property_readonly("size", [](const Stats::VectorInfo &info) {
                return info.size();
            })
        .def_property_readonly("value", [](const Stats::VectorInfo &info) {
                return info.value();
            })
        .def_property_readonly("result", [](const Stats::VectorInfo &info) {
                return info.result();
            })
        .def_property_readonly("total", [](const Stats::VectorInfo &info) {
                return info.total();
            })
        ;
 
    py::class_<Stats::FormulaInfo, Stats::VectorInfo,
               std::unique_ptr<Stats::FormulaInfo, py::nodelete>>(
                      m, "FormulaInfo")
        .def_property_readonly("str", [](const Stats::FormulaInfo &info) {
                return info.str();
            })
        ;
 
    py::class_<Stats::DistInfo, Stats::Info,
                std::unique_ptr<Stats::DistInfo, py::nodelete>>(
                    m, "DistInfo")
        .def_property_readonly("min_val", [](const Stats::DistInfo &info) {
                return info.data.min_val;
            })
        .def_property_readonly("max_val", [](const Stats::DistInfo &info) {
                return info.data.max_val;
            })
        .def_property_readonly("bucket_size", [](const Stats::DistInfo &info) {
                return info.data.bucket_size;
            })
        .def_property_readonly("values", [](const Stats::DistInfo &info) {
                return info.data.cvec;
            })
        .def_property_readonly("overflow", [](const Stats::DistInfo &info) {
                return info.data.overflow;
            })
        .def_property_readonly("underflow", [](const Stats::DistInfo &info) {
                return info.data.underflow;
            })
        .def_property_readonly("sum", [](const Stats::DistInfo &info) {
                return info.data.sum;
            })
        .def_property_readonly("logs", [](const Stats::DistInfo &info) {
                return info.data.logs;
            })
        .def_property_readonly("squares", [](const Stats::DistInfo &info) {
                return info.data.squares;
            })
        ;
 
    py::class_<Stats::Group, std::unique_ptr<Stats::Group, py::nodelete>>(
        m, "Group")
        .def("regStats", &Stats::Group::regStats)
        .def("resetStats", &Stats::Group::resetStats)
        .def("preDumpStats", &Stats::Group::preDumpStats)
        .def("getStats", [](const Stats::Group &self)
             -> std::vector<py::object> {
 
                 auto stats = self.getStats();
                std::vector<py::object> py_stats;
                py_stats.reserve(stats.size());
                std::transform(stats.begin(), stats.end(),
                               std::back_inserter(py_stats),
                               cast_stat_info);
                return py_stats;
            })
        .def("getStatGroups", &Stats::Group::getStatGroups)
        .def("addStatGroup", &Stats::Group::addStatGroup)
        .def("resolveStat", [](const Stats::Group &self,
                               const std::string &name) -> py::object {
                 const Stats::Info *stat = self.resolveStat(name);
                 if (!stat)
                     throw pybind11::key_error("Unknown stat name");
 
                 return cast_stat_info(stat);
             })
        ;
}