U, Srihari
7243889d6a
* Add perfetto support for scratch memory
* Updated tests and docs.
* Update docs data
* Added underflow check
* Record all free events to 0 bytes
* Add format
* Address review comment
* updated tests for scratch memory
* update scratch-memory tests.
[ROCm/rocprofiler-sdk commit: 6f2a5a9646]
118 sor
4.2 KiB
C++
118 sor
4.2 KiB
C++
// MIT License
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//
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// Copyright (c) 2023-2025 Advanced Micro Devices, Inc. All rights reserved.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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#pragma once
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#include "lib/common/mpl.hpp"
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#include <array>
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#include <cstddef>
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#include <iomanip>
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#include <ios>
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#include <ostream>
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#include <string_view>
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#include <type_traits>
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namespace rocprofiler
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{
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namespace tool
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{
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namespace csv
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{
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struct numerical_formatter
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{
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template <typename Tp>
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std::ostream& operator()(std::ostream& ofs, const Tp& _val) const
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{
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using value_type = common::mpl::unqualified_type_t<Tp>;
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if constexpr(std::is_floating_point<value_type>::value)
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{
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constexpr value_type one = 1;
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if(_val >= one)
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ofs << std::setprecision(6) << std::fixed;
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else
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ofs << std::setprecision(8) << std::scientific;
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}
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return ofs;
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}
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};
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template <typename FmtT = numerical_formatter, typename TupleT, size_t... Idx>
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std::ostream&
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write_csv_entry(std::ostream& ofs, TupleT&& _data, std::index_sequence<Idx...>)
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{
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auto _write = [&ofs](size_t idx, auto&& _val) {
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using value_type = common::mpl::unqualified_type_t<decltype(_val)>;
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if(idx > 0) ofs << ",";
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if constexpr(common::mpl::is_string_type<value_type>::value) ofs << "\"";
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FmtT{}(ofs, _val) << _val;
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if constexpr(common::mpl::is_string_type<value_type>::value) ofs << "\"";
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};
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(_write(Idx, std::get<Idx>(_data)), ...);
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return (ofs << '\n');
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}
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template <size_t NumCols>
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struct csv_encoder
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{
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static constexpr auto columns = NumCols;
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template <typename FmtT = numerical_formatter,
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typename... Args,
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typename Tp = void,
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std::enable_if_t<sizeof...(Args) == columns, int> = 0>
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static auto write_row(std::ostream& ofs, Args&&... args)
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{
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write_csv_entry<FmtT>(
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ofs, std::make_tuple(std::forward<Args>(args)...), std::make_index_sequence<columns>{});
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return csv_encoder<columns>{};
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}
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template <typename FmtT = numerical_formatter, typename Tp, size_t N>
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static auto write_row(std::ostream& ofs, const std::array<Tp, N>& arr)
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{
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static_assert(N == columns, "Error! too many/few args passed");
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write_csv_entry<FmtT>(ofs, arr, std::make_index_sequence<columns>{});
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return csv_encoder<columns>{};
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}
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};
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using api_csv_encoder = csv_encoder<7>;
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using agent_info_csv_encoder = csv_encoder<53>;
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using counter_collection_csv_encoder = csv_encoder<19>;
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using memory_allocation_csv_encoder = csv_encoder<8>;
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using marker_csv_encoder = csv_encoder<7>;
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using list_basic_metrics_csv_encoder = csv_encoder<5>;
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using list_derived_metrics_csv_encoder = csv_encoder<5>;
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using scratch_memory_encoder = csv_encoder<9>;
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using stats_csv_encoder = csv_encoder<8>;
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using pc_sampling_host_trap_csv_encoder = csv_encoder<6>;
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using kernel_trace_with_stream_csv_encoder = csv_encoder<22>;
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using memory_copy_with_stream_csv_encoder = csv_encoder<8>;
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using pc_sampling_stochastic_csv_encoder = csv_encoder<10>;
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} // namespace csv
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} // namespace tool
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} // namespace rocprofiler
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