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// Copyright (C) 2008-2011 Anders Logg
//
// This file is part of DOLFINx (https://www.fenicsproject.org)
//
// SPDX-License-Identifier: LGPL-3.0-or-later
#include "Table.h"
#include "MPI.h"
#include <array>
#include <functional>
#include <iostream>
#include <map>
#include <variant>
namespace
{
std::string to_str(std::variant<std::string, int, double> value)
{
if (std::holds_alternative<int>(value))
return std::to_string(std::get<int>(value));
else if (std::holds_alternative<double>(value))
return std::to_string(std::get<double>(value));
else if (std::holds_alternative<std::string>(value))
return std::get<std::string>(value);
else
throw std::runtime_error("Variant incorrect");
}
} // namespace
using namespace dolfinx;
//-----------------------------------------------------------------------------
Table::Table(std::string title, bool right_justify)
: name(std::move(title)), _right_justify(right_justify)
{
// Do nothing
}
//-----------------------------------------------------------------------------
void Table::set(const std::string& row, const std::string& col,
std::variant<std::string, int, double> value)
{
// Add row
if (std::find(_rows.begin(), _rows.end(), row) == _rows.end())
_rows.push_back(row);
// Add column
if (std::find(_cols.begin(), _cols.end(), col) == _cols.end())
_cols.push_back(col);
// Store value
std::pair<std::string, std::string> key(row, col);
_values[key] = std::move(value);
}
//-----------------------------------------------------------------------------
std::variant<std::string, int, double> Table::get(const std::string& row,
const std::string& col) const
{
std::pair<std::string, std::string> key(row, col);
auto it = _values.find(key);
if (it == _values.end())
{
throw std::runtime_error("Missing table value for entry (\"" + row
+ "\", \"" + col + "\")");
}
return it->second;
}
//-----------------------------------------------------------------------------
Table Table::reduce(MPI_Comm comm, Table::Reduction reduction) const
{
std::string new_title;
// Prepare reduction operation y := op(y, x)
std::function<double(double, double)> op_impl;
switch (reduction)
{
case Table::Reduction::average:
new_title = "[MPI_AVG] ";
op_impl = [](double y, double x) { return y + x; };
break;
case Table::Reduction::min:
new_title = "[MPI_MIN] ";
op_impl = [](double y, double x) { return std::min(y, x); };
break;
case Table::Reduction::max:
new_title = "[MPI_MAX] ";
op_impl = [](double y, double x) { return std::max(y, x); };
break;
default:
throw std::runtime_error("Cannot perform reduction of Table. Requested "
"reduction not implemented");
}
new_title += name;
const int mpi_size = dolfinx::MPI::size(comm);
// Handle trivial reduction
if (mpi_size == 1)
{
Table table_all(*this);
table_all.name = new_title;
return table_all;
}
// Get keys, values into containers for int doubles
std::string keys;
std::vector<double> values;
for (auto& it : _values)
{
if (const auto* const pval = std::get_if<double>(&it.second))
{
keys += it.first.first + '\0' + it.first.second + '\0';
values.push_back(*pval);
}
}
// Gather to rank zero
// Get string data size on each process
std::vector<int> pcounts(mpi_size), offsets(mpi_size + 1, 0);
const int local_size_str = keys.size();
int err = MPI_Gather(&local_size_str, 1, MPI_INT, pcounts.data(), 1, MPI_INT,
0, comm);
dolfinx::MPI::check_error(comm, err);
std::partial_sum(pcounts.begin(), pcounts.end(), offsets.begin() + 1);
std::vector<char> out_str(offsets.back());
err = MPI_Gatherv(keys.data(), keys.size(), MPI_CHAR, out_str.data(),
pcounts.data(), offsets.data(), MPI_CHAR, 0, comm);
dolfinx::MPI::check_error(comm, err);
// Rebuild string
std::vector<std::string> keys_all(mpi_size);
for (int p = 0; p < mpi_size; ++p)
{
keys_all[p] = std::string(out_str.begin() + offsets[p],
out_str.begin() + offsets[p + 1]);
}
// Get value data size on each process
const int local_size = values.size();
err = MPI_Gather(&local_size, 1, MPI_INT, pcounts.data(), 1, MPI_INT, 0,
comm);
dolfinx::MPI::check_error(comm, err);
std::partial_sum(pcounts.begin(), pcounts.end(), offsets.begin() + 1);
std::vector<double> values_all(offsets.back());
err = MPI_Gatherv(values.data(), values.size(), dolfinx::MPI::mpi_t<double>,
values_all.data(), pcounts.data(), offsets.data(),
dolfinx::MPI::mpi_t<double>, 0, comm);
dolfinx::MPI::check_error(comm, err);
// Return empty table on rank > 0
if (MPI::rank(comm) > 0)
return Table(new_title);
// Construct dvalues map from obtained data
std::map<std::array<std::string, 2>, double> dvalues_all;
std::array<std::string, 2> key;
const double* values_ptr = values_all.data();
for (int i = 0; i < dolfinx::MPI::size(comm); ++i)
{
std::stringstream keys_stream(keys_all[i]);
while (std::getline(keys_stream, key[0], '\0'),
std::getline(keys_stream, key[1], '\0'))
{
if (auto it = dvalues_all.find(key); it != dvalues_all.end())
it->second = op_impl(it->second, *(values_ptr++));
else
dvalues_all[key] = *(values_ptr++);
}
}
assert(values_ptr == values_all.data() + values_all.size());
// Weight by MPI size when averaging
if (reduction == Table::Reduction::average)
{
const double w = 1.0 / static_cast<double>(MPI::size(comm));
for (auto& it : dvalues_all)
it.second *= w;
}
// Construct table to return
Table table_all(new_title);
for (auto& it : _values)
{
if (std::holds_alternative<int>(it.second))
table_all.set(it.first.first, it.first.second, it.second);
}
// NB - the cast to std::variant should not be needed: needed by Intel
// compiler.
for (const auto& it : dvalues_all)
{
table_all.set(it.first[0], it.first[1],
std::variant<std::string, int, double>(it.second));
}
return table_all;
}
//-----------------------------------------------------------------------------
std::string Table::str() const
{
std::stringstream s;
std::vector<std::vector<std::string>> tvalues;
std::vector<std::size_t> col_sizes;
// Format values and compute column sizes
col_sizes.push_back(name.size());
for (std::size_t j = 0; j < _cols.size(); j++)
col_sizes.push_back(_cols[j].size());
for (std::size_t i = 0; i < _rows.size(); i++)
{
tvalues.emplace_back();
col_sizes[0] = std::max(col_sizes[0], _rows[i].size());
for (std::size_t j = 0; j < _cols.size(); j++)
{
const std::string value = to_str(get(_rows[i], _cols[j]));
tvalues[i].push_back(value);
col_sizes[j + 1] = std::max(col_sizes[j + 1], value.size());
}
}
std::size_t row_size = 2 * col_sizes.size() + 1;
for (std::size_t j = 0; j < col_sizes.size(); j++)
row_size += col_sizes[j];
// Stay silent if no data
if (tvalues.empty())
return "";
// Write table
s << name;
for (std::size_t k = 0; k < col_sizes[0] - name.size(); k++)
s << " ";
s << " |";
for (std::size_t j = 0; j < _cols.size(); j++)
{
if (_right_justify)
{
for (std::size_t k = 0; k < col_sizes[j + 1] - _cols[j].size(); k++)
s << " ";
s << " " << _cols[j];
}
else
{
s << " " << _cols[j];
for (std::size_t k = 0; k < col_sizes[j + 1] - _cols[j].size(); k++)
s << " ";
}
}
s << "\n";
for (std::size_t k = 0; k < row_size; k++)
s << "-";
for (std::size_t i = 0; i < _rows.size(); i++)
{
s << "\n";
s << _rows[i];
for (std::size_t k = 0; k < col_sizes[0] - _rows[i].size(); k++)
s << " ";
s << " |";
for (std::size_t j = 0; j < _cols.size(); j++)
{
if (_right_justify)
{
for (std::size_t k = 0; k < col_sizes[j + 1] - tvalues[i][j].size();
k++)
{
s << " ";
}
s << " " << tvalues[i][j];
}
else
{
s << " " << tvalues[i][j];
for (std::size_t k = 0; k < col_sizes[j + 1] - tvalues[i][j].size();
k++)
s << " ";
}
}
}
return s.str();
}
//-----------------------------------------------------------------------------
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