Benjamin Welton
4f05850efd
CSV output truncates doubles to ints when it shouldn't. Derived metrics are (mostly) doubles and lose precision (or become worthless) if treated as an int. Converted these to double to match the format we return from rocprof-sdk. Co-authored-by: Benjamin Welton <ben@amd.com>
659 строки
29 KiB
C++
659 строки
29 KiB
C++
// MIT License
|
|
//
|
|
// Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved.
|
|
//
|
|
// Permission is hereby granted, free of charge, to any person obtaining a copy
|
|
// of this software and associated documentation files (the "Software"), to deal
|
|
// in the Software without restriction, including without limitation the rights
|
|
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
|
// copies of the Software, and to permit persons to whom the Software is
|
|
// furnished to do so, subject to the following conditions:
|
|
//
|
|
// The above copyright notice and this permission notice shall be included in all
|
|
// copies or substantial portions of the Software.
|
|
//
|
|
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
|
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
|
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
|
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|
// SOFTWARE.
|
|
|
|
#include "generateCSV.hpp"
|
|
#include "config.hpp"
|
|
#include "csv.hpp"
|
|
#include "generateStats.hpp"
|
|
#include "helper.hpp"
|
|
#include "statistics.hpp"
|
|
|
|
#include <rocprofiler-sdk/fwd.h>
|
|
#include <rocprofiler-sdk/marker/api_id.h>
|
|
#include <unistd.h>
|
|
|
|
#include <cstdint>
|
|
#include <iomanip>
|
|
#include <string_view>
|
|
#include <utility>
|
|
|
|
namespace rocprofiler
|
|
{
|
|
namespace tool
|
|
{
|
|
namespace
|
|
{
|
|
tool::output_file
|
|
get_stats_output_file(std::string name)
|
|
{
|
|
return tool::output_file{std::move(name),
|
|
tool::csv::stats_csv_encoder{},
|
|
{
|
|
"Name",
|
|
"Calls",
|
|
"TotalDurationNs",
|
|
"AverageNs",
|
|
"Percentage",
|
|
"MinNs",
|
|
"MaxNs",
|
|
"StdDev",
|
|
}};
|
|
}
|
|
|
|
void
|
|
write_stats(output_file&& ofs, const stats_entry_vec_t& data_v)
|
|
{
|
|
auto data = stats_entry_vec_t{};
|
|
auto _duration = stats_data_t{};
|
|
for(const auto& [id, value] : data_v)
|
|
{
|
|
data.emplace_back(id, value);
|
|
_duration += value;
|
|
}
|
|
|
|
std::sort(data.begin(), data.end(), [](const auto& lhs, const auto& rhs) {
|
|
return (lhs.second.get_sum() > rhs.second.get_sum());
|
|
});
|
|
|
|
constexpr float_type one_hundred = 100.0;
|
|
|
|
const float_type _total_duration = _duration.get_sum();
|
|
for(const auto& [name, value] : data)
|
|
{
|
|
auto duration_ns = value.get_sum();
|
|
auto calls = value.get_count();
|
|
float_type avg_ns = value.get_mean();
|
|
float_type percent_v = (duration_ns / _total_duration) * one_hundred;
|
|
|
|
auto _row = std::stringstream{};
|
|
rocprofiler::tool::csv::stats_csv_encoder::write_row<stats_formatter>(_row,
|
|
name,
|
|
calls,
|
|
duration_ns,
|
|
avg_ns,
|
|
percentage{percent_v},
|
|
value.get_min(),
|
|
value.get_max(),
|
|
value.get_stddev());
|
|
ofs << _row.str() << std::flush;
|
|
}
|
|
}
|
|
} // namespace
|
|
|
|
void
|
|
generate_csv(tool_table* /*tool_functions*/, std::vector<rocprofiler_agent_v0_t>& data)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
std::sort(data.begin(), data.end(), [](rocprofiler_agent_v0_t lhs, rocprofiler_agent_v0_t rhs) {
|
|
return lhs.node_id < rhs.node_id;
|
|
});
|
|
|
|
auto ofs = tool::output_file{"agent_info",
|
|
tool::csv::agent_info_csv_encoder{},
|
|
{"Node_Id",
|
|
"Logical_Node_Id",
|
|
"Agent_Type",
|
|
"Cpu_Cores_Count",
|
|
"Simd_Count",
|
|
"Cpu_Core_Id_Base",
|
|
"Simd_Id_Base",
|
|
"Max_Waves_Per_Simd",
|
|
"Lds_Size_In_Kb",
|
|
"Gds_Size_In_Kb",
|
|
"Num_Gws",
|
|
"Wave_Front_Size",
|
|
"Num_Xcc",
|
|
"Cu_Count",
|
|
"Array_Count",
|
|
"Num_Shader_Banks",
|
|
"Simd_Arrays_Per_Engine",
|
|
"Cu_Per_Simd_Array",
|
|
"Simd_Per_Cu",
|
|
"Max_Slots_Scratch_Cu",
|
|
"Gfx_Target_Version",
|
|
"Vendor_Id",
|
|
"Device_Id",
|
|
"Location_Id",
|
|
"Domain",
|
|
"Drm_Render_Minor",
|
|
"Num_Sdma_Engines",
|
|
"Num_Sdma_Xgmi_Engines",
|
|
"Num_Sdma_Queues_Per_Engine",
|
|
"Num_Cp_Queues",
|
|
"Max_Engine_Clk_Ccompute",
|
|
"Max_Engine_Clk_Fcompute",
|
|
"Sdma_Fw_Version",
|
|
"Fw_Version",
|
|
"Capability",
|
|
"Cu_Per_Engine",
|
|
"Max_Waves_Per_Cu",
|
|
"Family_Id",
|
|
"Workgroup_Max_Size",
|
|
"Grid_Max_Size",
|
|
"Local_Mem_Size",
|
|
"Hive_Id",
|
|
"Gpu_Id",
|
|
"Workgroup_Max_Dim_X",
|
|
"Workgroup_Max_Dim_Y",
|
|
"Workgroup_Max_Dim_Z",
|
|
"Grid_Max_Dim_X",
|
|
"Grid_Max_Dim_Y",
|
|
"Grid_Max_Dim_Z",
|
|
"Name",
|
|
"Vendor_Name",
|
|
"Product_Name",
|
|
"Model_Name"}};
|
|
|
|
for(auto& itr : data)
|
|
{
|
|
auto _type = std::string_view{};
|
|
if(itr.type == ROCPROFILER_AGENT_TYPE_CPU)
|
|
_type = "CPU";
|
|
else if(itr.type == ROCPROFILER_AGENT_TYPE_GPU)
|
|
_type = "GPU";
|
|
else
|
|
_type = "UNK";
|
|
|
|
auto row_ss = std::stringstream{};
|
|
rocprofiler::tool::csv::agent_info_csv_encoder::write_row(row_ss,
|
|
itr.node_id,
|
|
itr.logical_node_id,
|
|
_type,
|
|
itr.cpu_cores_count,
|
|
itr.simd_count,
|
|
itr.cpu_core_id_base,
|
|
itr.simd_id_base,
|
|
itr.max_waves_per_simd,
|
|
itr.lds_size_in_kb,
|
|
itr.gds_size_in_kb,
|
|
itr.num_gws,
|
|
itr.wave_front_size,
|
|
itr.num_xcc,
|
|
itr.cu_count,
|
|
itr.array_count,
|
|
itr.num_shader_banks,
|
|
itr.simd_arrays_per_engine,
|
|
itr.cu_per_simd_array,
|
|
itr.simd_per_cu,
|
|
itr.max_slots_scratch_cu,
|
|
itr.gfx_target_version,
|
|
itr.vendor_id,
|
|
itr.device_id,
|
|
itr.location_id,
|
|
itr.domain,
|
|
itr.drm_render_minor,
|
|
itr.num_sdma_engines,
|
|
itr.num_sdma_xgmi_engines,
|
|
itr.num_sdma_queues_per_engine,
|
|
itr.num_cp_queues,
|
|
itr.max_engine_clk_ccompute,
|
|
itr.max_engine_clk_fcompute,
|
|
itr.sdma_fw_version.Value,
|
|
itr.fw_version.Value,
|
|
itr.capability.Value,
|
|
itr.cu_per_engine,
|
|
itr.max_waves_per_cu,
|
|
itr.family_id,
|
|
itr.workgroup_max_size,
|
|
itr.grid_max_size,
|
|
itr.local_mem_size,
|
|
itr.hive_id,
|
|
itr.gpu_id,
|
|
itr.workgroup_max_dim.x,
|
|
itr.workgroup_max_dim.y,
|
|
itr.workgroup_max_dim.z,
|
|
itr.grid_max_dim.x,
|
|
itr.grid_max_dim.y,
|
|
itr.grid_max_dim.z,
|
|
itr.name,
|
|
itr.vendor_name,
|
|
itr.product_name,
|
|
itr.model_name);
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(tool_table* tool_functions,
|
|
const std::deque<rocprofiler_buffer_tracing_kernel_dispatch_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(tool::get_config().stats && stats)
|
|
write_stats(get_stats_output_file("kernel_stats"), stats.entries);
|
|
|
|
auto ofs = tool::output_file{"kernel_trace",
|
|
tool::csv::kernel_trace_csv_encoder{},
|
|
{"Kind",
|
|
"Agent_Id",
|
|
"Queue_Id",
|
|
"Thread_Id",
|
|
"Dispatch_Id",
|
|
"Kernel_Id",
|
|
"Kernel_Name",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp",
|
|
"Private_Segment_Size",
|
|
"Group_Segment_Size",
|
|
"Workgroup_Size_X",
|
|
"Workgroup_Size_Y",
|
|
"Workgroup_Size_Z",
|
|
"Grid_Size_X",
|
|
"Grid_Size_Y",
|
|
"Grid_Size_Z"}};
|
|
|
|
for(const auto& record : data)
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto kernel_name = tool_functions->tool_get_kernel_name_fn(
|
|
record.dispatch_info.kernel_id, record.correlation_id.external.value);
|
|
rocprofiler::tool::csv::kernel_trace_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_functions->tool_get_domain_name_fn(record.kind),
|
|
tool_functions->tool_get_agent_node_id_fn(record.dispatch_info.agent_id),
|
|
record.dispatch_info.queue_id.handle,
|
|
record.thread_id,
|
|
record.dispatch_info.dispatch_id,
|
|
record.dispatch_info.kernel_id,
|
|
kernel_name,
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp,
|
|
record.dispatch_info.private_segment_size,
|
|
record.dispatch_info.group_segment_size,
|
|
record.dispatch_info.workgroup_size.x,
|
|
record.dispatch_info.workgroup_size.y,
|
|
record.dispatch_info.workgroup_size.z,
|
|
record.dispatch_info.grid_size.x,
|
|
record.dispatch_info.grid_size.y,
|
|
record.dispatch_info.grid_size.z);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(tool_table* tool_functions,
|
|
const std::deque<rocprofiler_buffer_tracing_hip_api_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(tool::get_config().stats && stats)
|
|
write_stats(get_stats_output_file("hip_api_stats"), stats.entries);
|
|
|
|
auto ofs = tool::output_file{"hip_api_trace",
|
|
tool::csv::api_csv_encoder{},
|
|
{"Domain",
|
|
"Function",
|
|
"Process_Id",
|
|
"Thread_Id",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
for(const auto& record : data)
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto api_name = tool_functions->tool_get_operation_name_fn(record.kind, record.operation);
|
|
rocprofiler::tool::csv::api_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_functions->tool_get_domain_name_fn(record.kind),
|
|
api_name,
|
|
getpid(),
|
|
record.thread_id,
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(tool_table* tool_functions,
|
|
const std::deque<rocprofiler_buffer_tracing_hsa_api_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(tool::get_config().stats && stats)
|
|
write_stats(get_stats_output_file("hsa_api_stats"), stats.entries);
|
|
|
|
auto ofs = tool::output_file{"hsa_api_trace",
|
|
tool::csv::api_csv_encoder{},
|
|
{"Domain",
|
|
"Function",
|
|
"Process_Id",
|
|
"Thread_Id",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
|
|
for(const auto& record : data)
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto api_name = tool_functions->tool_get_operation_name_fn(record.kind, record.operation);
|
|
rocprofiler::tool::csv::api_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_functions->tool_get_domain_name_fn(record.kind),
|
|
api_name,
|
|
getpid(),
|
|
record.thread_id,
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(tool_table* tool_functions,
|
|
const std::deque<rocprofiler_buffer_tracing_memory_copy_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(tool::get_config().stats && stats)
|
|
write_stats(get_stats_output_file("memory_copy_stats"), stats.entries);
|
|
|
|
auto ofs = tool::output_file{"memory_copy_trace",
|
|
tool::csv::memory_copy_csv_encoder{},
|
|
{"Kind",
|
|
"Direction",
|
|
"Source_Agent_Id",
|
|
"Destination_Agent_Id",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
for(const auto& record : data)
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto api_name = tool_functions->tool_get_operation_name_fn(record.kind, record.operation);
|
|
rocprofiler::tool::csv::memory_copy_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_functions->tool_get_domain_name_fn(record.kind),
|
|
api_name,
|
|
tool_functions->tool_get_agent_node_id_fn(record.src_agent_id),
|
|
tool_functions->tool_get_agent_node_id_fn(record.dst_agent_id),
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(tool_table* tool_functions,
|
|
const std::deque<rocprofiler_buffer_tracing_marker_api_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(tool::get_config().stats && stats)
|
|
write_stats(get_stats_output_file("marker_api_stats"), stats.entries);
|
|
|
|
auto ofs = tool::output_file{"marker_api_trace",
|
|
tool::csv::marker_csv_encoder{},
|
|
{"Domain",
|
|
"Function",
|
|
"Process_Id",
|
|
"Thread_Id",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
for(const auto& record : data)
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto _name = std::string_view{};
|
|
|
|
if(record.kind == ROCPROFILER_BUFFER_TRACING_MARKER_CORE_API &&
|
|
(record.operation == ROCPROFILER_MARKER_CORE_API_ID_roctxMarkA ||
|
|
record.operation == ROCPROFILER_MARKER_CORE_API_ID_roctxRangePushA ||
|
|
record.operation == ROCPROFILER_MARKER_CORE_API_ID_roctxRangeStartA))
|
|
{
|
|
_name = tool_functions->tool_get_roctx_msg_fn(record.correlation_id.internal);
|
|
}
|
|
else
|
|
{
|
|
_name = tool_functions->tool_get_operation_name_fn(record.kind, record.operation);
|
|
}
|
|
|
|
tool::csv::marker_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_functions->tool_get_domain_name_fn(record.kind),
|
|
_name,
|
|
getpid(),
|
|
record.thread_id,
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(tool_table* tool_functions,
|
|
const std::deque<rocprofiler_tool_counter_collection_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(tool::get_config().stats && stats)
|
|
write_stats(get_stats_output_file("counter_collection_stats"), stats.entries);
|
|
|
|
auto ofs = tool::output_file{"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",
|
|
"SGPR_Count",
|
|
"Counter_Name",
|
|
"Counter_Value"}};
|
|
for(const auto& record : data)
|
|
{
|
|
auto kernel_id = record.dispatch_data.dispatch_info.kernel_id;
|
|
auto counter_name_value = std::map<std::string, double>{};
|
|
for(uint64_t i = 0; i < record.counter_count; i++)
|
|
{
|
|
const auto& count = record.records.at(i);
|
|
auto rec = count.record_counter;
|
|
std::string counter_name = tool_functions->tool_get_counter_info_name_fn(rec.id);
|
|
auto search = counter_name_value.find(counter_name);
|
|
if(search == counter_name_value.end())
|
|
counter_name_value.emplace(
|
|
std::pair<std::string, double>{counter_name, rec.counter_value});
|
|
else
|
|
search->second = search->second + rec.counter_value;
|
|
}
|
|
|
|
const auto& correlation_id = record.dispatch_data.correlation_id;
|
|
|
|
auto magnitude = [](rocprofiler_dim3_t dims) { return (dims.x * dims.y * dims.z); };
|
|
auto row_ss = std::stringstream{};
|
|
for(auto& itr : counter_name_value)
|
|
{
|
|
tool::csv::counter_collection_csv_encoder::write_row(
|
|
row_ss,
|
|
correlation_id.internal,
|
|
record.dispatch_data.dispatch_info.dispatch_id,
|
|
tool_functions->tool_get_agent_node_id_fn(
|
|
record.dispatch_data.dispatch_info.agent_id),
|
|
record.dispatch_data.dispatch_info.queue_id.handle,
|
|
getpid(),
|
|
record.thread_id,
|
|
magnitude(record.dispatch_data.dispatch_info.grid_size),
|
|
record.dispatch_data.dispatch_info.kernel_id,
|
|
tool_functions->tool_get_kernel_name_fn(kernel_id, correlation_id.external.value),
|
|
magnitude(record.dispatch_data.dispatch_info.workgroup_size),
|
|
record.lds_block_size_v,
|
|
record.dispatch_data.dispatch_info.private_segment_size,
|
|
record.arch_vgpr_count,
|
|
record.sgpr_count,
|
|
itr.first,
|
|
itr.second);
|
|
}
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(tool_table* tool_functions,
|
|
const std::deque<rocprofiler_buffer_tracing_scratch_memory_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(tool::get_config().stats && stats)
|
|
write_stats(get_stats_output_file("scratch_memory_stats"), stats.entries);
|
|
|
|
auto ofs = tool::output_file{"scratch_memory_trace",
|
|
tool::csv::scratch_memory_encoder{},
|
|
{
|
|
"Kind",
|
|
"Operation",
|
|
"Agent_Id",
|
|
"Queue_Id",
|
|
"Thread_Id",
|
|
"Alloc_flags",
|
|
"Start_Timestamp",
|
|
"End_Timestamp",
|
|
}};
|
|
|
|
for(const auto& record : data)
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto kind_name = tool_functions->tool_get_domain_name_fn(record.kind);
|
|
auto op_name = tool_functions->tool_get_operation_name_fn(record.kind, record.operation);
|
|
|
|
tool::csv::scratch_memory_encoder::write_row(
|
|
row_ss,
|
|
kind_name,
|
|
op_name,
|
|
tool_functions->tool_get_agent_node_id_fn(record.agent_id),
|
|
record.queue_id.handle,
|
|
record.thread_id,
|
|
record.flags,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(tool_table* tool_functions,
|
|
const std::deque<rocprofiler_buffer_tracing_rccl_api_record_t>& data,
|
|
const stats_entry_t& stats)
|
|
{
|
|
if(data.empty()) return;
|
|
|
|
if(tool::get_config().stats && stats)
|
|
write_stats(get_stats_output_file("rccl_api_stats"), stats.entries);
|
|
|
|
auto ofs = tool::output_file{"rccl_api_trace",
|
|
tool::csv::api_csv_encoder{},
|
|
{"Domain",
|
|
"Function",
|
|
"Process_Id",
|
|
"Thread_Id",
|
|
"Correlation_Id",
|
|
"Start_Timestamp",
|
|
"End_Timestamp"}};
|
|
for(const auto& record : data)
|
|
{
|
|
auto row_ss = std::stringstream{};
|
|
auto api_name = tool_functions->tool_get_operation_name_fn(record.kind, record.operation);
|
|
rocprofiler::tool::csv::api_csv_encoder::write_row(
|
|
row_ss,
|
|
tool_functions->tool_get_domain_name_fn(record.kind),
|
|
api_name,
|
|
getpid(),
|
|
record.thread_id,
|
|
record.correlation_id.internal,
|
|
record.start_timestamp,
|
|
record.end_timestamp);
|
|
|
|
ofs << row_ss.str();
|
|
}
|
|
}
|
|
|
|
void
|
|
generate_csv(tool_table* /*tool_functions*/, const domain_stats_vec_t& data_v)
|
|
{
|
|
using csv_encoder_t = rocprofiler::tool::csv::stats_csv_encoder;
|
|
|
|
if(!tool::get_config().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("domain_stats");
|
|
|
|
const float_type _total_duration = _total_stats.get_sum();
|
|
for(const auto& [type, value] : _data)
|
|
{
|
|
auto name = get_domain_column_name(type);
|
|
auto duration_ns = value.total.get_sum();
|
|
auto calls = value.total.get_count();
|
|
auto avg_ns = value.total.get_mean();
|
|
auto percent_v = value.total.get_percent(_total_duration);
|
|
|
|
auto _row = std::stringstream{};
|
|
csv_encoder_t::write_row<stats_formatter>(_row,
|
|
name,
|
|
calls,
|
|
duration_ns,
|
|
avg_ns,
|
|
percentage{percent_v},
|
|
value.total.get_min(),
|
|
value.total.get_max(),
|
|
value.total.get_stddev());
|
|
ofs << _row.str() << std::flush;
|
|
}
|
|
}
|
|
} // namespace tool
|
|
} // namespace rocprofiler
|