Benjamin Welton
d496bcef18
* Fix dimension mismatch for multi-GPU systems with identical architectures This change addresses an issue where counter dimensions were incorrectly shared across all GPU agents with the same architecture name, even when those agents had different hardware configurations (e.g., different CU counts). Changes: - Updated getBlockDimensions() to accept agent ID instead of architecture name - Made dimension cache agent-specific instead of architecture-specific - Updated set_dimensions() in AST evaluation to use specific agent ID - Modified all API functions to handle agent-specific dimension lookups - Updated tests to work with agent-specific dimensions This fix ensures that dimensions accurately reflect the actual hardware configuration of each individual GPU agent, preventing dimension mismatches in multi-GPU systems where GPUs share the same architecture but have different physical configurations. Counter ID Representation Changes: - Modified counter_id encoding to include agent information in bits 37-32 - Agent logical_node_id is encoded as (value + 1) to ensure agent 0 is detectable - Counter records internally store only 16-bit base metric IDs (bits 15-0) - Tool reconstructs agent-encoded counter IDs from base metric ID & agent info - Instance record counter_id field uses bitwise AND mask to extract base metric ID (counter_id.handle & 0xFFFF) to fit in 16-bit storage - Output generators (CSV, JSON, Perfetto) use agent-encoded IDs for consistency - Updated counter_config.cpp and metrics.cpp to extract base metric ID when needed - All counter lookups now properly handle agent-encoded vs base metric IDs This ensures counter IDs are consistent between metadata and output records while maintaining compact storage in instance records.
1020 خطوط
45 KiB
C++
1020 خطوط
45 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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#include "generateCSV.hpp"
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#include "csv.hpp"
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#include "csv_output_file.hpp"
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#include "domain_type.hpp"
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#include "generateStats.hpp"
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#include "output_config.hpp"
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#include "output_stream.hpp"
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#include "statistics.hpp"
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#include "timestamps.hpp"
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#include "lib/rocprofiler-sdk/counters/id_decode.hpp"
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#include <rocprofiler-sdk/fwd.h>
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#include <rocprofiler-sdk/marker/api_id.h>
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#include <rocprofiler-sdk/cxx/operators.hpp>
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#include <rocprofiler-sdk/cxx/utility.hpp>
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#include <unistd.h>
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#include <cstdint>
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#include <iomanip>
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#include <string_view>
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#include <utility>
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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
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{
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tool::csv_output_file
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get_stats_output_file(const output_config& cfg, std::string_view name)
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{
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return tool::csv_output_file{cfg,
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name,
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tool::csv::stats_csv_encoder{},
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{
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"Name",
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"Calls",
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"TotalDurationNs",
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"AverageNs",
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"Percentage",
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"MinNs",
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"MaxNs",
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"StdDev",
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}};
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}
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tool::csv_output_file
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get_stats_output_file(const output_config& cfg, domain_type domain)
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{
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return get_stats_output_file(cfg, get_domain_stats_file_name(domain));
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}
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void
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write_stats(tool::csv_output_file&& ofs, const stats_entry_vec_t& data_v)
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{
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auto data = stats_entry_vec_t{};
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auto _duration = stats_data_t{};
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for(const auto& [id, value] : data_v)
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{
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data.emplace_back(id, value);
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_duration += value;
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}
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std::sort(data.begin(), data.end(), [](const auto& lhs, const auto& rhs) {
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return (lhs.second.get_sum() > rhs.second.get_sum());
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});
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constexpr float_type one_hundred = 100.0;
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const float_type _total_duration = _duration.get_sum();
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for(const auto& [name, value] : data)
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{
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auto duration_ns = value.get_sum();
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auto calls = value.get_count();
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float_type avg_ns = value.get_mean();
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float_type percent_v = (duration_ns / _total_duration) * one_hundred;
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auto _row = std::stringstream{};
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rocprofiler::tool::csv::stats_csv_encoder::write_row<stats_formatter>(_row,
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name,
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calls,
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duration_ns,
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avg_ns,
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percentage{percent_v},
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value.get_min(),
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value.get_max(),
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value.get_stddev());
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ofs << _row.str() << std::flush;
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}
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}
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} // namespace
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void
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generate_csv(const output_config& cfg,
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const metadata& /*tool_metadata*/,
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std::vector<agent_info>& data)
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{
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if(data.empty()) return;
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std::sort(data.begin(), data.end(), [](const agent_info& lhs, const agent_info& rhs) {
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return lhs.node_id < rhs.node_id;
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});
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auto ofs = tool::csv_output_file{cfg,
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"agent_info",
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tool::csv::agent_info_csv_encoder{},
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{"Node_Id",
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"Logical_Node_Id",
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"Agent_Type",
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"Cpu_Cores_Count",
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"Simd_Count",
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"Cpu_Core_Id_Base",
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"Simd_Id_Base",
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"Max_Waves_Per_Simd",
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"Lds_Size_In_Kb",
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"Gds_Size_In_Kb",
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"Num_Gws",
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"Wave_Front_Size",
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"Num_Xcc",
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"Cu_Count",
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"Array_Count",
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"Num_Shader_Banks",
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"Simd_Arrays_Per_Engine",
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"Cu_Per_Simd_Array",
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"Simd_Per_Cu",
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"Max_Slots_Scratch_Cu",
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"Gfx_Target_Version",
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"Vendor_Id",
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"Device_Id",
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"Location_Id",
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"Domain",
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"Drm_Render_Minor",
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"Num_Sdma_Engines",
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"Num_Sdma_Xgmi_Engines",
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"Num_Sdma_Queues_Per_Engine",
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"Num_Cp_Queues",
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"Max_Engine_Clk_Ccompute",
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"Max_Engine_Clk_Fcompute",
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"Sdma_Fw_Version",
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"Fw_Version",
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"Capability",
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"Cu_Per_Engine",
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"Max_Waves_Per_Cu",
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"Family_Id",
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"Workgroup_Max_Size",
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"Grid_Max_Size",
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"Local_Mem_Size",
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"Hive_Id",
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"Gpu_Id",
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"Workgroup_Max_Dim_X",
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"Workgroup_Max_Dim_Y",
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"Workgroup_Max_Dim_Z",
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"Grid_Max_Dim_X",
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"Grid_Max_Dim_Y",
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"Grid_Max_Dim_Z",
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"Name",
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"Vendor_Name",
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"Product_Name",
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"Model_Name"}};
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for(auto& itr : data)
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{
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auto _type = std::string_view{};
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if(itr.type == ROCPROFILER_AGENT_TYPE_CPU)
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_type = "CPU";
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else if(itr.type == ROCPROFILER_AGENT_TYPE_GPU)
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_type = "GPU";
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else
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_type = "UNK";
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auto row_ss = std::stringstream{};
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rocprofiler::tool::csv::agent_info_csv_encoder::write_row(row_ss,
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itr.node_id,
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itr.logical_node_id,
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_type,
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itr.cpu_cores_count,
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itr.simd_count,
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itr.cpu_core_id_base,
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itr.simd_id_base,
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itr.max_waves_per_simd,
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itr.lds_size_in_kb,
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itr.gds_size_in_kb,
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itr.num_gws,
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itr.wave_front_size,
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itr.num_xcc,
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itr.cu_count,
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itr.array_count,
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itr.num_shader_banks,
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itr.simd_arrays_per_engine,
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itr.cu_per_simd_array,
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itr.simd_per_cu,
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itr.max_slots_scratch_cu,
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itr.gfx_target_version,
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itr.vendor_id,
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itr.device_id,
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itr.location_id,
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itr.domain,
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itr.drm_render_minor,
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itr.num_sdma_engines,
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itr.num_sdma_xgmi_engines,
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itr.num_sdma_queues_per_engine,
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itr.num_cp_queues,
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itr.max_engine_clk_ccompute,
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itr.max_engine_clk_fcompute,
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itr.sdma_fw_version.Value,
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itr.fw_version.Value,
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itr.capability.Value,
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itr.cu_per_engine,
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itr.max_waves_per_cu,
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itr.family_id,
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itr.workgroup_max_size,
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itr.grid_max_size,
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itr.local_mem_size,
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itr.hive_id,
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itr.gpu_id,
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itr.workgroup_max_dim.x,
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itr.workgroup_max_dim.y,
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itr.workgroup_max_dim.z,
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itr.grid_max_dim.x,
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itr.grid_max_dim.y,
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itr.grid_max_dim.z,
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itr.name,
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itr.vendor_name,
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itr.product_name,
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itr.model_name);
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ofs << row_ss.str();
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}
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}
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void
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generate_csv(const output_config& cfg,
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const metadata& tool_metadata,
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const generator<tool_buffer_tracing_kernel_dispatch_ext_record_t>& data,
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const stats_entry_t& stats)
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{
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if(data.empty()) return;
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if(cfg.stats && stats)
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write_stats(get_stats_output_file(cfg, domain_type::KERNEL_DISPATCH), stats.entries);
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auto ofs = tool::csv_output_file{cfg,
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domain_type::KERNEL_DISPATCH,
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tool::csv::kernel_trace_with_stream_csv_encoder{},
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{"Kind",
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"Agent_Id",
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"Queue_Id",
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"Stream_Id",
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"Thread_Id",
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"Dispatch_Id",
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"Kernel_Id",
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"Kernel_Name",
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"Correlation_Id",
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"Start_Timestamp",
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"End_Timestamp",
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"LDS_Block_Size",
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"Scratch_Size",
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"VGPR_Count",
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"Accum_VGPR_Count",
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"SGPR_Count",
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"Workgroup_Size_X",
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"Workgroup_Size_Y",
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"Workgroup_Size_Z",
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"Grid_Size_X",
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"Grid_Size_Y",
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"Grid_Size_Z"}};
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for(auto ditr : data)
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{
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for(auto record : data.get(ditr))
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{
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auto row_ss = std::stringstream{};
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const auto* kernel_info =
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tool_metadata.get_kernel_symbol(record.dispatch_info.kernel_id);
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auto kernel_name = tool_metadata.get_kernel_name(record.dispatch_info.kernel_id,
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cfg.kernel_rename,
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record.correlation_id.external.value);
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auto lds_block_size_v =
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(kernel_info->group_segment_size + (lds_block_size - 1)) & ~(lds_block_size - 1);
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rocprofiler::tool::csv::kernel_trace_with_stream_csv_encoder::write_row(
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row_ss,
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tool_metadata.get_kind_name(record.kind),
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tool_metadata.get_agent_index(record.dispatch_info.agent_id, cfg.agent_index_value)
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.as_string(),
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record.dispatch_info.queue_id.handle,
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record.stream_id.handle,
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record.thread_id,
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record.dispatch_info.dispatch_id,
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record.dispatch_info.kernel_id,
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kernel_name,
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record.correlation_id.internal,
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record.start_timestamp,
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record.end_timestamp,
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lds_block_size_v,
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record.dispatch_info.private_segment_size,
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kernel_info->arch_vgpr_count,
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kernel_info->accum_vgpr_count,
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kernel_info->sgpr_count,
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record.dispatch_info.workgroup_size.x,
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record.dispatch_info.workgroup_size.y,
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record.dispatch_info.workgroup_size.z,
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record.dispatch_info.grid_size.x,
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record.dispatch_info.grid_size.y,
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record.dispatch_info.grid_size.z);
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ofs << row_ss.str();
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}
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}
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}
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void
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generate_csv(const output_config& cfg,
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const metadata& tool_metadata,
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const generator<tool_buffer_tracing_hip_api_ext_record_t>& data,
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const stats_entry_t& stats)
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{
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if(data.empty()) return;
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if(cfg.stats && stats) write_stats(get_stats_output_file(cfg, domain_type::HIP), stats.entries);
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auto ofs = tool::csv_output_file{cfg,
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domain_type::HIP,
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tool::csv::api_csv_encoder{},
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{"Domain",
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"Function",
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"Process_Id",
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"Thread_Id",
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"Correlation_Id",
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"Start_Timestamp",
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"End_Timestamp"}};
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for(auto ditr : data)
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{
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for(auto record : data.get(ditr))
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{
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auto row_ss = std::stringstream{};
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auto api_name = tool_metadata.get_operation_name(record.kind, record.operation);
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rocprofiler::tool::csv::api_csv_encoder::write_row(
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row_ss,
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tool_metadata.get_kind_name(record.kind),
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api_name,
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tool_metadata.process_id,
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record.thread_id,
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record.correlation_id.internal,
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record.start_timestamp,
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record.end_timestamp);
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ofs << row_ss.str();
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}
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}
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}
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void
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generate_csv(const output_config& cfg,
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const metadata& tool_metadata,
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const generator<rocprofiler_buffer_tracing_hsa_api_record_t>& data,
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const stats_entry_t& stats)
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{
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if(data.empty()) return;
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if(cfg.stats && stats) write_stats(get_stats_output_file(cfg, domain_type::HSA), stats.entries);
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auto ofs = tool::csv_output_file{cfg,
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domain_type::HSA,
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tool::csv::api_csv_encoder{},
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{"Domain",
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"Function",
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"Process_Id",
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"Thread_Id",
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"Correlation_Id",
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"Start_Timestamp",
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"End_Timestamp"}};
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for(auto ditr : data)
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{
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for(auto record : data.get(ditr))
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{
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auto row_ss = std::stringstream{};
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auto api_name = tool_metadata.get_operation_name(record.kind, record.operation);
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rocprofiler::tool::csv::api_csv_encoder::write_row(
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row_ss,
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tool_metadata.get_kind_name(record.kind),
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api_name,
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tool_metadata.process_id,
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record.thread_id,
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record.correlation_id.internal,
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record.start_timestamp,
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record.end_timestamp);
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ofs << row_ss.str();
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}
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}
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}
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|
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void
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generate_csv(const output_config& cfg,
|
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const metadata& tool_metadata,
|
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const generator<tool_buffer_tracing_memory_copy_ext_record_t>& data,
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const stats_entry_t& stats)
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{
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if(data.empty()) return;
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|
|
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if(cfg.stats && stats)
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write_stats(get_stats_output_file(cfg, domain_type::MEMORY_COPY), stats.entries);
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auto ofs = tool::csv_output_file{cfg,
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domain_type::MEMORY_COPY,
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tool::csv::memory_copy_with_stream_csv_encoder{},
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{"Kind",
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"Direction",
|
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"Stream_Id",
|
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"Source_Agent_Id",
|
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"Destination_Agent_Id",
|
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"Correlation_Id",
|
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"Start_Timestamp",
|
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"End_Timestamp"}};
|
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|
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for(auto ditr : data)
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{
|
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for(auto record : data.get(ditr))
|
|
{
|
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auto row_ss = std::stringstream{};
|
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auto api_name = tool_metadata.get_operation_name(record.kind, record.operation);
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rocprofiler::tool::csv::memory_copy_with_stream_csv_encoder::write_row(
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row_ss,
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tool_metadata.get_kind_name(record.kind),
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api_name,
|
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record.stream_id.handle,
|
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tool_metadata.get_agent_index(record.src_agent_id, cfg.agent_index_value)
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.as_string(),
|
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tool_metadata.get_agent_index(record.dst_agent_id, cfg.agent_index_value)
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.as_string(),
|
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record.correlation_id.internal,
|
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record.start_timestamp,
|
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record.end_timestamp);
|
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ofs << row_ss.str();
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}
|
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}
|
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}
|
|
|
|
void
|
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generate_csv(const output_config& cfg,
|
|
const metadata& tool_metadata,
|
|
const generator<tool_buffer_tracing_memory_allocation_ext_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
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if(cfg.stats && stats)
|
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write_stats(get_stats_output_file(cfg, domain_type::MEMORY_ALLOCATION), stats.entries);
|
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|
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auto ofs = tool::csv_output_file{cfg,
|
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domain_type::MEMORY_ALLOCATION,
|
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tool::csv::memory_allocation_csv_encoder{},
|
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{"Kind",
|
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"Operation",
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"Agent_Id",
|
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"Allocation_Size",
|
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"Address",
|
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"Correlation_Id",
|
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"Start_Timestamp",
|
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"End_Timestamp"}};
|
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for(auto ditr : data)
|
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{
|
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for(auto record : data.get(ditr))
|
|
{
|
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auto agent_info = std::string{};
|
|
// Free functions currently do not track agent information. Only set it on allocation
|
|
// operations, otherwise set it to 0 currently
|
|
if(record.operation == ROCPROFILER_MEMORY_ALLOCATION_ALLOCATE ||
|
|
record.operation == ROCPROFILER_MEMORY_ALLOCATION_VMEM_ALLOCATE)
|
|
{
|
|
agent_info = tool_metadata.get_agent_index(record.agent_id, cfg.agent_index_value)
|
|
.as_string();
|
|
}
|
|
auto api_name = tool_metadata.get_operation_name(record.kind, record.operation);
|
|
auto row_ss = std::stringstream{};
|
|
|
|
rocprofiler::tool::csv::memory_allocation_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_metadata.get_kind_name(record.kind),
|
|
api_name,
|
|
agent_info,
|
|
record.allocation_size,
|
|
rocprofiler::sdk::utility::as_hex(record.address.handle, 16),
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(const output_config& cfg,
|
|
const metadata& tool_metadata,
|
|
const generator<rocprofiler_buffer_tracing_marker_api_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(cfg.stats && stats)
|
|
write_stats(get_stats_output_file(cfg, domain_type::MARKER), stats.entries);
|
|
|
|
auto ofs = tool::csv_output_file{cfg,
|
|
domain_type::MARKER,
|
|
tool::csv::marker_csv_encoder{},
|
|
{"Domain",
|
|
"Function",
|
|
"Process_Id",
|
|
"Thread_Id",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
for(auto ditr : data)
|
|
{
|
|
for(auto record : data.get(ditr))
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto _name = std::string_view{};
|
|
|
|
if(record.kind == ROCPROFILER_BUFFER_TRACING_MARKER_CORE_RANGE_API &&
|
|
(record.operation == ROCPROFILER_MARKER_CORE_RANGE_API_ID_roctxMarkA ||
|
|
record.operation == ROCPROFILER_MARKER_CORE_RANGE_API_ID_roctxThreadRangeA ||
|
|
record.operation == ROCPROFILER_MARKER_CORE_RANGE_API_ID_roctxProcessRangeA))
|
|
{
|
|
_name = tool_metadata.get_marker_message(record.correlation_id.internal);
|
|
}
|
|
else
|
|
{
|
|
_name = tool_metadata.get_operation_name(record.kind, record.operation);
|
|
}
|
|
|
|
tool::csv::marker_csv_encoder::write_row(row_ss,
|
|
tool_metadata.get_kind_name(record.kind),
|
|
_name,
|
|
tool_metadata.process_id,
|
|
record.thread_id,
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(const output_config& cfg,
|
|
const metadata& tool_metadata,
|
|
const generator<tool_counter_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(cfg.stats && stats)
|
|
write_stats(get_stats_output_file(cfg, domain_type::COUNTER_COLLECTION), stats.entries);
|
|
|
|
auto ofs = tool::csv_output_file{cfg,
|
|
domain_type::COUNTER_COLLECTION,
|
|
tool::csv::counter_collection_csv_encoder{},
|
|
{"Correlation_Id",
|
|
"Dispatch_Id",
|
|
"Agent_Id",
|
|
"Queue_Id",
|
|
"Process_Id",
|
|
"Thread_Id",
|
|
"Grid_Size",
|
|
"Kernel_Id",
|
|
"Kernel_Name",
|
|
"Workgroup_Size",
|
|
"LDS_Block_Size",
|
|
"Scratch_Size",
|
|
"VGPR_Count",
|
|
"Accum_VGPR_Count",
|
|
"SGPR_Count",
|
|
"Counter_Name",
|
|
"Counter_Value",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
|
|
auto counter_id_to_name = std::unordered_map<rocprofiler_counter_id_t, std::string_view>{};
|
|
for(const auto& itr : tool_metadata.get_counter_info())
|
|
{
|
|
// Counter records now contain agent-encoded IDs (reconstructed in tool.cpp),
|
|
// so we use the full agent-encoded ID from metadata as the map key
|
|
counter_id_to_name.emplace(itr.id, itr.name);
|
|
}
|
|
|
|
for(auto ditr : data)
|
|
{
|
|
for(const auto& record : data.get(ditr))
|
|
{
|
|
auto kernel_id = record.dispatch_data.dispatch_info.kernel_id;
|
|
auto counter_id_value = std::map<rocprofiler_counter_id_t, double>{};
|
|
auto record_vector = record.read();
|
|
|
|
// Accumulate counters based on ID
|
|
for(auto& count : record_vector)
|
|
{
|
|
counter_id_value[count.id] += count.value;
|
|
}
|
|
|
|
const auto& correlation_id = record.dispatch_data.correlation_id;
|
|
const auto* kernel_info = tool_metadata.get_kernel_symbol(kernel_id);
|
|
auto lds_block_size_v =
|
|
(kernel_info->group_segment_size + (lds_block_size - 1)) & ~(lds_block_size - 1);
|
|
|
|
auto magnitude = [](rocprofiler_dim3_t dims) { return (dims.x * dims.y * dims.z); };
|
|
auto row_ss = std::stringstream{};
|
|
for(auto& [counter_id, counter_value] : counter_id_value)
|
|
{
|
|
tool::csv::counter_collection_csv_encoder::write_row(
|
|
row_ss,
|
|
correlation_id.internal,
|
|
record.dispatch_data.dispatch_info.dispatch_id,
|
|
tool_metadata
|
|
.get_agent_index(record.dispatch_data.dispatch_info.agent_id,
|
|
cfg.agent_index_value)
|
|
.as_string(),
|
|
record.dispatch_data.dispatch_info.queue_id.handle,
|
|
tool_metadata.process_id,
|
|
record.thread_id,
|
|
magnitude(record.dispatch_data.dispatch_info.grid_size),
|
|
record.dispatch_data.dispatch_info.kernel_id,
|
|
tool_metadata.get_kernel_name(
|
|
kernel_id, cfg.kernel_rename, correlation_id.external.value),
|
|
magnitude(record.dispatch_data.dispatch_info.workgroup_size),
|
|
lds_block_size_v,
|
|
record.dispatch_data.dispatch_info.private_segment_size,
|
|
kernel_info->arch_vgpr_count,
|
|
kernel_info->accum_vgpr_count,
|
|
kernel_info->sgpr_count,
|
|
counter_id_to_name.at(counter_id),
|
|
counter_value,
|
|
record.dispatch_data.start_timestamp,
|
|
record.dispatch_data.end_timestamp);
|
|
}
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(const output_config& cfg,
|
|
const metadata& tool_metadata,
|
|
const generator<rocprofiler_buffer_tracing_scratch_memory_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(cfg.stats && stats)
|
|
write_stats(get_stats_output_file(cfg, domain_type::SCRATCH_MEMORY), stats.entries);
|
|
|
|
auto ofs = tool::csv_output_file{cfg,
|
|
domain_type::SCRATCH_MEMORY,
|
|
tool::csv::scratch_memory_encoder{},
|
|
{
|
|
"Kind",
|
|
"Operation",
|
|
"Agent_Id",
|
|
"Queue_Id",
|
|
"Thread_Id",
|
|
"Alloc_Flags",
|
|
"Start_Timestamp",
|
|
"End_Timestamp",
|
|
"Allocation_Size",
|
|
}};
|
|
|
|
for(auto ditr : data)
|
|
{
|
|
for(auto record : data.get(ditr))
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto kind_name = tool_metadata.get_kind_name(record.kind);
|
|
auto op_name = tool_metadata.get_operation_name(record.kind, record.operation);
|
|
|
|
tool::csv::scratch_memory_encoder::write_row(
|
|
row_ss,
|
|
kind_name,
|
|
op_name,
|
|
tool_metadata.get_agent_index(record.agent_id, cfg.agent_index_value).as_string(),
|
|
record.queue_id.handle,
|
|
record.thread_id,
|
|
record.flags,
|
|
record.start_timestamp,
|
|
record.end_timestamp,
|
|
record.allocation_size);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(const output_config& cfg,
|
|
const metadata& tool_metadata,
|
|
const generator<rocprofiler_buffer_tracing_rccl_api_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(cfg.stats && stats)
|
|
write_stats(get_stats_output_file(cfg, domain_type::RCCL), stats.entries);
|
|
|
|
auto ofs = tool::csv_output_file{cfg,
|
|
domain_type::RCCL,
|
|
tool::csv::api_csv_encoder{},
|
|
{"Domain",
|
|
"Function",
|
|
"Process_Id",
|
|
"Thread_Id",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
for(auto ditr : data)
|
|
{
|
|
for(auto record : data.get(ditr))
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto api_name = tool_metadata.get_operation_name(record.kind, record.operation);
|
|
rocprofiler::tool::csv::api_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_metadata.get_kind_name(record.kind),
|
|
api_name,
|
|
tool_metadata.process_id,
|
|
record.thread_id,
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(const output_config& cfg,
|
|
const metadata& tool_metadata,
|
|
const generator<rocprofiler_buffer_tracing_rocdecode_api_ext_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(cfg.stats && stats)
|
|
write_stats(get_stats_output_file(cfg, domain_type::ROCDECODE), stats.entries);
|
|
|
|
auto ofs = tool::csv_output_file{cfg,
|
|
domain_type::ROCDECODE,
|
|
tool::csv::api_csv_encoder{},
|
|
{"Domain",
|
|
"Function",
|
|
"Process_Id",
|
|
"Thread_Id",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
for(auto ditr : data)
|
|
{
|
|
for(auto record : data.get(ditr))
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto api_name = tool_metadata.get_operation_name(record.kind, record.operation);
|
|
rocprofiler::tool::csv::api_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_metadata.get_kind_name(record.kind),
|
|
api_name,
|
|
tool_metadata.process_id,
|
|
record.thread_id,
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(const output_config& cfg,
|
|
const metadata& tool_metadata,
|
|
const generator<rocprofiler_buffer_tracing_rocjpeg_api_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(cfg.stats && stats)
|
|
write_stats(get_stats_output_file(cfg, domain_type::ROCJPEG), stats.entries);
|
|
|
|
auto ofs = tool::csv_output_file{cfg,
|
|
domain_type::ROCJPEG,
|
|
tool::csv::api_csv_encoder{},
|
|
{"Domain",
|
|
"Function",
|
|
"Process_Id",
|
|
"Thread_Id",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
for(auto ditr : data)
|
|
{
|
|
for(auto record : data.get(ditr))
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto api_name = tool_metadata.get_operation_name(record.kind, record.operation);
|
|
rocprofiler::tool::csv::api_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_metadata.get_kind_name(record.kind),
|
|
api_name,
|
|
tool_metadata.process_id,
|
|
record.thread_id,
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(const output_config& cfg,
|
|
const metadata& tool_metadata,
|
|
const generator<rocprofiler_tool_pc_sampling_host_trap_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(cfg.stats && stats)
|
|
write_stats(get_stats_output_file(cfg, domain_type::PC_SAMPLING_HOST_TRAP), stats.entries);
|
|
|
|
auto ofs = tool::csv_output_file{cfg,
|
|
domain_type::PC_SAMPLING_HOST_TRAP,
|
|
tool::csv::pc_sampling_host_trap_csv_encoder{},
|
|
{"Sample_Timestamp",
|
|
"Exec_Mask",
|
|
"Dispatch_Id",
|
|
"Instruction",
|
|
"Instruction_Comment",
|
|
"Correlation_Id"}};
|
|
for(auto ditr : data)
|
|
{
|
|
for(const auto& record : data.get(ditr))
|
|
{
|
|
if(record.inst_index == -1)
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
std::string inst_comment =
|
|
"Unrecognized code object id, physical virtual address of PC:" +
|
|
std::to_string(record.pc_sample_record.pc.code_object_offset);
|
|
rocprofiler::tool::csv::pc_sampling_host_trap_csv_encoder::write_row(
|
|
row_ss,
|
|
record.pc_sample_record.timestamp,
|
|
record.pc_sample_record.exec_mask,
|
|
record.pc_sample_record.dispatch_id,
|
|
"",
|
|
inst_comment,
|
|
record.pc_sample_record.correlation_id.internal);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
else
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
rocprofiler::tool::csv::pc_sampling_host_trap_csv_encoder::write_row(
|
|
row_ss,
|
|
record.pc_sample_record.timestamp,
|
|
record.pc_sample_record.exec_mask,
|
|
record.pc_sample_record.dispatch_id,
|
|
tool_metadata.get_instruction(record.inst_index),
|
|
tool_metadata.get_comment(record.inst_index),
|
|
record.pc_sample_record.correlation_id.internal);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(const output_config& cfg,
|
|
const metadata& tool_metadata,
|
|
const generator<rocprofiler_tool_pc_sampling_stochastic_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(cfg.stats && stats)
|
|
write_stats(get_stats_output_file(cfg, domain_type::PC_SAMPLING_STOCHASTIC), stats.entries);
|
|
|
|
auto ofs = tool::csv_output_file{cfg,
|
|
domain_type::PC_SAMPLING_STOCHASTIC,
|
|
tool::csv::pc_sampling_stochastic_csv_encoder{},
|
|
{
|
|
"Sample_Timestamp",
|
|
"Exec_Mask",
|
|
"Dispatch_Id",
|
|
"Instruction",
|
|
"Instruction_Comment",
|
|
"Correlation_Id",
|
|
"Wave_Issued_Instruction",
|
|
"Instruction_Type",
|
|
"Stall_Reason",
|
|
"Wave_Count",
|
|
}};
|
|
for(auto ditr : data)
|
|
{
|
|
for(const auto& record : data.get(ditr))
|
|
{
|
|
std::string inst;
|
|
std::string inst_comment;
|
|
if(record.inst_index == -1)
|
|
{
|
|
// A sample originates from a blit kernel or self-modifying code,
|
|
// so instruction cannot be decoded
|
|
inst_comment = "Unrecognized code object id, physical virtual address of PC:" +
|
|
std::to_string(record.pc_sample_record.pc.code_object_offset);
|
|
}
|
|
else
|
|
{
|
|
// Provide decoded instruction and comment
|
|
inst = tool_metadata.get_instruction(record.inst_index);
|
|
inst_comment = tool_metadata.get_comment(record.inst_index);
|
|
}
|
|
|
|
auto row_ss = std::stringstream{};
|
|
rocprofiler::tool::csv::pc_sampling_stochastic_csv_encoder::write_row(
|
|
row_ss,
|
|
record.pc_sample_record.timestamp,
|
|
record.pc_sample_record.exec_mask,
|
|
record.pc_sample_record.dispatch_id,
|
|
inst,
|
|
inst_comment,
|
|
record.pc_sample_record.correlation_id.internal,
|
|
// As wave_issued is uint8_t of size 1, it can be dumped as char.
|
|
// To prevent that, explicitly cast it to integer, so that CSV output
|
|
// shows human-readable 0/1 values.
|
|
static_cast<unsigned int>(record.pc_sample_record.wave_issued),
|
|
std::string(rocprofiler_get_pc_sampling_instruction_type_name(
|
|
static_cast<rocprofiler_pc_sampling_instruction_type_t>(
|
|
record.pc_sample_record.inst_type))),
|
|
std::string(rocprofiler_get_pc_sampling_instruction_not_issued_reason_name(
|
|
static_cast<rocprofiler_pc_sampling_instruction_not_issued_reason_t>(
|
|
record.pc_sample_record.snapshot.reason_not_issued))),
|
|
// Similar reasoning as for wave_issued.
|
|
static_cast<unsigned int>(record.pc_sample_record.wave_count));
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(const output_config& cfg,
|
|
const metadata& /*tool_metadata*/,
|
|
const domain_stats_vec_t& data_v)
|
|
{
|
|
using csv_encoder_t = rocprofiler::tool::csv::stats_csv_encoder;
|
|
|
|
if(!cfg.stats) return;
|
|
|
|
auto _data = data_v;
|
|
auto _total_stats = stats_data_t{};
|
|
for(const auto& itr : _data)
|
|
_total_stats += itr.second.total;
|
|
|
|
if(_total_stats.get_count() == 0) return;
|
|
|
|
std::sort(_data.begin(), _data.end(), [](const auto& lhs, const auto& rhs) {
|
|
return (lhs.second.total.get_sum() > rhs.second.total.get_sum());
|
|
});
|
|
|
|
auto ofs = get_stats_output_file(cfg, "domain_stats");
|
|
|
|
const float_type _total_duration = _total_stats.get_sum();
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for(const auto& [type, value] : _data)
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{
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auto name = get_domain_column_name(type);
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|
auto duration_ns = value.total.get_sum();
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|
auto calls = value.total.get_count();
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|
auto avg_ns = value.total.get_mean();
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auto percent_v = value.total.get_percent(_total_duration);
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|
|
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auto _row = std::stringstream{};
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csv_encoder_t::write_row<stats_formatter>(_row,
|
|
name,
|
|
calls,
|
|
duration_ns,
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|
avg_ns,
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|
percentage{percent_v},
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|
value.total.get_min(),
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|
value.total.get_max(),
|
|
value.total.get_stddev());
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|
ofs << _row.str() << std::flush;
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|
}
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|
}
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} // namespace tool
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} // namespace rocprofiler
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