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tracer.cc
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tracer.cc
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// Copyright 2019-2024, NVIDIA CORPORATION & AFFILIATES. 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 NVIDIA CORPORATION 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 ``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, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY 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 "tracer.h"
#include <stdlib.h>
#include "common.h"
#include "triton/common/logging.h"
#ifdef TRITON_ENABLE_GPU
#include <cuda_runtime_api.h>
#endif // TRITON_ENABLE_GPU
#ifndef _WIN32
#include "opentelemetry/sdk/resource/semantic_conventions.h"
#include "opentelemetry/sdk/trace/batch_span_processor_factory.h"
namespace otel_common = opentelemetry::common;
#endif
namespace triton { namespace server {
TRITONSERVER_Error*
TraceManager::Create(
TraceManager** manager, const TRITONSERVER_InferenceTraceLevel level,
const uint32_t rate, const int32_t count, const uint32_t log_frequency,
const std::string& filepath, const InferenceTraceMode mode,
const triton::server::TraceConfigMap& config_map)
{
// Always create TraceManager regardless of the global setting as they
// can be updated at runtime even if tracing is not enable at start.
// No trace should be sampled if the setting is not valid.
*manager = new TraceManager(
level, rate, count, log_frequency, filepath, mode, config_map);
return nullptr; // success
}
TraceManager::TraceManager(
const TRITONSERVER_InferenceTraceLevel level, const uint32_t rate,
const int32_t count, const uint32_t log_frequency,
const std::string& filepath, const InferenceTraceMode mode,
const TraceConfigMap& config_map)
{
std::shared_ptr<TraceFile> file(new TraceFile(filepath));
global_default_.reset(new TraceSetting(
level, rate, count, log_frequency, file, mode, config_map,
false /*level_specified*/, false /*rate_specified*/,
false /*count_specified*/, false /*log_frequency_specified*/,
false /*filepath_specified*/, false /*mode_specified*/,
false /*config_map_specified*/));
global_setting_.reset(new TraceSetting(
level, rate, count, log_frequency, file, mode, config_map,
false /*level_specified*/, false /*rate_specified*/,
false /*count_specified*/, false /*log_frequency_specified*/,
false /*filepath_specified*/, false /*mode_specified*/,
false /*config_map_specified*/));
trace_files_.emplace(filepath, file);
InitTracer(config_map);
}
TRITONSERVER_Error*
TraceManager::UpdateTraceSetting(
const std::string& model_name, const NewSetting& new_setting)
{
std::lock_guard<std::mutex> w_lk(w_mu_);
RETURN_IF_ERR(UpdateTraceSettingInternal(model_name, new_setting));
// If updating global setting, must check and update the model settings
// that are (partially) mirroring global setting.
if (model_name.empty()) {
// Default constructed setting means no active update,
// only the unspecified fields will be checked and updated.
NewSetting setting;
// Make a copy of the set as UpdateTraceSettingInternal() may modify
// 'fallback_used_models_'
auto fallback_models = fallback_used_models_;
for (const auto& name : fallback_models) {
RETURN_IF_ERR(UpdateTraceSettingInternal(name, setting));
}
}
return nullptr;
}
TRITONSERVER_Error*
TraceManager::UpdateTraceSettingInternal(
const std::string& model_name, const NewSetting& new_setting)
{
// First try to get the current setting and fallback setting,
// current setting may be 'nullptr' if the setting is newly added
const TraceSetting* current_setting = nullptr;
const TraceSetting* fallback_setting = nullptr;
if (!model_name.empty()) {
auto it = model_settings_.find(model_name);
if (it != model_settings_.end()) {
current_setting = it->second.get();
}
fallback_setting = global_setting_.get();
} else {
current_setting = global_setting_.get();
fallback_setting = global_default_.get();
}
// Prepare the updated setting, use two passes for simplicity:
// 1. Set all fields based on 'fallback_setting'
// 2. If there are specified fields based on current and new setting,
// use the specified value
TRITONSERVER_InferenceTraceLevel level = fallback_setting->level_;
uint32_t rate = fallback_setting->rate_;
int32_t count = fallback_setting->count_;
uint32_t log_frequency = fallback_setting->log_frequency_;
std::string filepath = fallback_setting->file_->FileName();
InferenceTraceMode mode = fallback_setting->mode_;
TraceConfigMap config_map = fallback_setting->config_map_;
// Whether the field value is specified:
// if clear then it is not specified, otherwise,
// it is specified if it is being updated, or it was previously specified
const bool level_specified =
(new_setting.clear_level_ ? false
: (((current_setting != nullptr) &&
current_setting->level_specified_) ||
(new_setting.level_ != nullptr)));
const bool rate_specified =
(new_setting.clear_rate_ ? false
: (((current_setting != nullptr) &&
current_setting->rate_specified_) ||
(new_setting.rate_ != nullptr)));
const bool count_specified =
(new_setting.clear_count_ ? false
: (((current_setting != nullptr) &&
current_setting->count_specified_) ||
(new_setting.count_ != nullptr)));
const bool log_frequency_specified =
(new_setting.clear_log_frequency_
? false
: (((current_setting != nullptr) &&
current_setting->log_frequency_specified_) ||
(new_setting.log_frequency_ != nullptr)));
const bool filepath_specified =
(((current_setting != nullptr) && current_setting->filepath_specified_));
if (level_specified) {
level = (new_setting.level_ != nullptr) ? *new_setting.level_
: current_setting->level_;
}
if (rate_specified) {
rate = (new_setting.rate_ != nullptr) ? *new_setting.rate_
: current_setting->rate_;
}
if (count_specified) {
count = (new_setting.count_ != nullptr) ? *new_setting.count_
: current_setting->count_;
}
if (log_frequency_specified) {
log_frequency = (new_setting.log_frequency_ != nullptr)
? *new_setting.log_frequency_
: current_setting->log_frequency_;
}
if (filepath_specified) {
filepath = current_setting->file_->FileName();
}
// Some special case when updating model setting
if (!model_name.empty()) {
bool all_specified =
(level_specified & rate_specified & count_specified &
log_frequency_specified & filepath_specified);
bool none_specified =
!(level_specified | rate_specified | count_specified |
log_frequency_specified | filepath_specified);
if (all_specified) {
fallback_used_models_.erase(model_name);
} else if (none_specified) {
// Simply let the model uses global setting
std::lock_guard<std::mutex> r_lk(r_mu_);
model_settings_.erase(model_name);
return nullptr;
} else {
fallback_used_models_.emplace(model_name);
}
}
// Create TraceSetting object with the updated setting
std::shared_ptr<TraceFile> file;
const auto it = trace_files_.find(filepath);
if (it != trace_files_.end()) {
file = it->second.lock();
// The TraceFile object is no longer valid
if (file == nullptr) {
trace_files_.erase(it);
}
}
if (file == nullptr) {
file.reset(new TraceFile(filepath));
trace_files_.emplace(filepath, file);
}
std::shared_ptr<TraceSetting> lts(new TraceSetting(
level, rate, count, log_frequency, file, mode, config_map,
level_specified, rate_specified, count_specified, log_frequency_specified,
filepath_specified, false /*mode_specified*/,
false /*config_map_specified*/));
// The only invalid setting allowed is if it disables tracing
if ((!lts->Valid()) && (level != TRITONSERVER_TRACE_LEVEL_DISABLED)) {
return TRITONSERVER_ErrorNew(
TRITONSERVER_ERROR_INVALID_ARG,
(std::string("Attempting to set invalid trace setting :") +
lts->Reason())
.c_str());
}
// Update / Init the setting in read lock to exclude reader access,
// we replace the object instead of modifying the existing object in case
// of there are ongoing traces. This makes sure those traces are referring
// to the setting when the traces are sampled.
{
std::lock_guard<std::mutex> r_lk(r_mu_);
if (model_name.empty()) {
// global update
global_setting_ = std::move(lts);
} else {
auto it = model_settings_.find(model_name);
if (it != model_settings_.end()) {
// Model update
it->second = std::move(lts);
} else {
// Model init
model_settings_.emplace(model_name, lts);
}
}
}
return nullptr;
}
void
TraceManager::GetTraceSetting(
const std::string& model_name, TRITONSERVER_InferenceTraceLevel* level,
uint32_t* rate, int32_t* count, uint32_t* log_frequency,
std::string* filepath, InferenceTraceMode* trace_mode,
TraceConfigMap* config_map)
{
std::shared_ptr<TraceSetting> trace_setting;
{
std::lock_guard<std::mutex> r_lk(r_mu_);
auto m_it = model_settings_.find(model_name);
trace_setting =
(m_it == model_settings_.end()) ? global_setting_ : m_it->second;
}
*level = trace_setting->level_;
*rate = trace_setting->rate_;
*count = trace_setting->count_;
*log_frequency = trace_setting->log_frequency_;
*filepath = trace_setting->file_->FileName();
*trace_mode = trace_setting->mode_;
*config_map = trace_setting->config_map_;
}
void
TraceManager::GetTraceSetting(
const std::string& model_name, std::shared_ptr<TraceSetting>& trace_setting)
{
std::lock_guard<std::mutex> r_lk(r_mu_);
auto m_it = model_settings_.find(model_name);
trace_setting =
(m_it == model_settings_.end()) ? global_setting_ : m_it->second;
}
TraceManager::TraceStartOptions
TraceManager::GetTraceStartOptions(
AbstractCarrier& carrier, const std::string& model_name)
{
TraceManager::TraceStartOptions start_options;
GetTraceSetting(model_name, start_options.trace_setting);
if (!start_options.trace_setting->level_ ==
TRITONSERVER_TRACE_LEVEL_DISABLED &&
start_options.trace_setting->mode_ == TRACE_MODE_OPENTELEMETRY) {
#ifndef _WIN32
auto prop =
otel_cntxt::propagation::GlobalTextMapPropagator::GetGlobalPropagator();
auto ctxt = otel_cntxt::Context();
ctxt = prop->Extract(carrier, ctxt);
otel_trace_api::SpanContext span_context =
otel_trace_api::GetSpan(ctxt)->GetContext();
if (span_context.IsValid()) {
start_options.propagated_context = ctxt;
start_options.force_sample = true;
}
#else
LOG_ERROR << "Unsupported trace mode: "
<< TraceManager::InferenceTraceModeString(
start_options.trace_setting->mode_);
#endif // _WIN32
}
return start_options;
}
std::shared_ptr<TraceManager::Trace>
TraceManager::SampleTrace(const TraceStartOptions& start_options)
{
std::shared_ptr<Trace> ts =
start_options.trace_setting->SampleTrace(start_options.force_sample);
if (ts != nullptr) {
ts->setting_ = start_options.trace_setting;
if (ts->setting_->mode_ == TRACE_MODE_OPENTELEMETRY) {
#ifndef _WIN32
auto steady_timestamp_ns =
std::chrono::duration_cast<std::chrono::nanoseconds>(
std::chrono::steady_clock::now().time_since_epoch())
.count();
if (ts->span_stacks_.find(ts->trace_id_) == ts->span_stacks_.end()) {
std::unique_ptr<
std::stack<opentelemetry::nostd::shared_ptr<otel_trace_api::Span>>>
st(new std::stack<
opentelemetry::nostd::shared_ptr<otel_trace_api::Span>>());
ts->span_stacks_.emplace(ts->trace_id_, std::move(st));
}
auto active_span =
otel_trace_api::GetSpan(start_options.propagated_context);
if (active_span->GetContext().IsValid()) {
ts->span_stacks_[ts->trace_id_]->emplace(active_span);
}
// Storing "InferRequest" span as a root span
// to keep it alive for the duration of the request.
ts->root_span_ =
ts->StartSpan("InferRequest", steady_timestamp_ns, ts->trace_id_);
ts->span_stacks_[ts->trace_id_]->emplace(ts->root_span_);
#else
LOG_ERROR << "Unsupported trace mode: "
<< TraceManager::InferenceTraceModeString(ts->setting_->mode_);
#endif
}
}
return ts;
}
TraceManager::Trace::~Trace()
{
if (setting_->mode_ == TRACE_MODE_TRITON) {
// Write trace now
setting_->WriteTrace(streams_);
} else if (setting_->mode_ == TRACE_MODE_OPENTELEMETRY) {
#ifndef _WIN32
EndSpan(trace_id_);
#else
LOG_ERROR << "Unsupported trace mode: "
<< TraceManager::InferenceTraceModeString(setting_->mode_);
#endif
}
}
void
TraceManager::Trace::CaptureTimestamp(
const std::string& name, uint64_t timestamp_ns)
{
if (setting_->level_ & TRITONSERVER_TRACE_LEVEL_TIMESTAMPS) {
if (setting_->mode_ == TRACE_MODE_TRITON) {
std::lock_guard<std::mutex> lk(mtx_);
std::stringstream* ss = nullptr;
{
if (streams_.find(trace_id_) == streams_.end()) {
std::unique_ptr<std::stringstream> stream(new std::stringstream());
ss = stream.get();
streams_.emplace(trace_id_, std::move(stream));
} else {
ss = streams_[trace_id_].get();
// If the string stream is not newly created, add "," as there is
// already content in the string stream
*ss << ",";
}
}
*ss << "{\"id\":" << trace_id_ << ",\"timestamps\":["
<< "{\"name\":\"" << name << "\",\"ns\":" << timestamp_ns << "}]}";
} else if (setting_->mode_ == TRACE_MODE_OPENTELEMETRY) {
#ifndef _WIN32
root_span_->AddEvent(
name, time_offset_ + std::chrono::nanoseconds{timestamp_ns});
#else
LOG_ERROR << "Unsupported trace mode: "
<< TraceManager::InferenceTraceModeString(setting_->mode_);
#endif
}
}
}
std::string
TraceManager::Trace::RetrieveActivityName(
TRITONSERVER_InferenceTrace* trace,
TRITONSERVER_InferenceTraceActivity activity, uint64_t timestamp_ns)
{
std::string activity_name =
TRITONSERVER_InferenceTraceActivityString(activity);
if (activity == TRITONSERVER_TRACE_CUSTOM_ACTIVITY) {
const char* val = nullptr;
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceContext(trace, &val),
"Failed to retrieve trace context");
std::string context_str = (val != nullptr) ? std::string(val) : "";
triton::common::TritonJson::Value context;
LOG_TRITONSERVER_ERROR(
context.Parse(context_str), "Failed to parse trace context");
std::string look_for_key = std::to_string(timestamp_ns);
if (context.Find(look_for_key.c_str())) {
context.MemberAsString(look_for_key.c_str(), &activity_name);
}
}
return activity_name;
}
void
TraceManager::InitTracer(const triton::server::TraceConfigMap& config_map)
{
switch (global_setting_->mode_) {
case TRACE_MODE_OPENTELEMETRY: {
#ifndef _WIN32
otlp::OtlpHttpExporterOptions exporter_options;
otel_resource::ResourceAttributes attributes = {};
otel_trace_sdk::BatchSpanProcessorOptions processor_options;
ProcessOpenTelemetryParameters(
config_map, exporter_options, attributes, processor_options);
auto exporter = otlp::OtlpHttpExporterFactory::Create(exporter_options);
auto processor = otel_trace_sdk::BatchSpanProcessorFactory::Create(
std::move(exporter), processor_options);
auto resource = otel_resource::Resource::Create(attributes);
std::shared_ptr<otel_trace_api::TracerProvider> provider =
otel_trace_sdk::TracerProviderFactory::Create(
std::move(processor), resource);
otel_trace_api::Provider::SetTracerProvider(provider);
otel_cntxt::propagation::GlobalTextMapPropagator::SetGlobalPropagator(
opentelemetry::nostd::shared_ptr<
otel_cntxt::propagation::TextMapPropagator>(
new otel_trace_api::propagation::HttpTraceContext()));
break;
#else
LOG_ERROR << "Unsupported trace mode: "
<< TraceManager::InferenceTraceModeString(
global_setting_->mode_);
break;
#endif
}
default:
return;
}
}
void
TraceManager::CleanupTracer()
{
switch (global_setting_->mode_) {
case TRACE_MODE_OPENTELEMETRY: {
#ifndef _WIN32
std::shared_ptr<otel_trace_api::TracerProvider> none;
otel_trace_api::Provider::SetTracerProvider(none);
break;
#else
LOG_ERROR << "Unsupported trace mode: "
<< TraceManager::InferenceTraceModeString(
global_setting_->mode_);
break;
#endif
}
default:
return;
}
}
#ifndef _WIN32
void
TraceManager::ProcessOpenTelemetryParameters(
const triton::server::TraceConfigMap& config_map,
otlp::OtlpHttpExporterOptions& exporter_options,
otel_resource::ResourceAttributes& attributes,
otel_trace_sdk::BatchSpanProcessorOptions& processor_options)
{
attributes[otel_resource::SemanticConventions::kServiceName] =
std::string("triton-inference-server");
auto mode_key = std::to_string(TRACE_MODE_OPENTELEMETRY);
auto otel_options_it = config_map.find(mode_key);
if (otel_options_it == config_map.end()) {
return;
}
for (const auto& [setting, value] : otel_options_it->second) {
// FIXME add more configuration options of OTLP HTTP Exporter
if (setting == "url") {
exporter_options.url = std::get<std::string>(value);
}
if (setting == "resource") {
auto user_setting = std::get<std::string>(value);
auto pos = user_setting.find('=');
auto key = user_setting.substr(0, pos);
auto value = user_setting.substr(pos + 1);
attributes[key] = value;
}
if (setting == "bsp_max_queue_size") {
processor_options.max_queue_size = std::get<uint32_t>(value);
}
if (setting == "bsp_schedule_delay") {
processor_options.schedule_delay_millis =
std::chrono::milliseconds(std::get<uint32_t>(value));
}
if (setting == "bsp_max_export_batch_size") {
processor_options.max_export_batch_size = std::get<uint32_t>(value);
}
}
}
void
TraceManager::Trace::StartSpan(
TRITONSERVER_InferenceTrace* trace,
TRITONSERVER_InferenceTraceActivity activity, uint64_t timestamp_ns,
uint64_t trace_id, std::string display_name)
{
uint64_t parent_id;
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceParentId(trace, &parent_id),
"getting trace parent id");
auto span_parent_id = parent_id;
// Currently, only 2 types of sub-spans are supported:
// request span and compute span. Compute span is a leaf span
// and can not be a parent of any sub-span. If parent_id==0,
// then current model is either a standalone model, or an ensemble model.
// In both cases, the parent of the new request sub-span is the kRootSpan.
// A request span with trace id = `trace_id` is a parent of a compute span,
// started in the same trace.
// If parent_id > 0, then this is a child trace, spawned from
// the ensamble's main request. For this instance, the parent
// span is the ensembles's request span.
if ((parent_id == 0 && activity == TRITONSERVER_TRACE_REQUEST_START) ||
(activity == TRITONSERVER_TRACE_COMPUTE_START) ||
(activity == TRITONSERVER_TRACE_CUSTOM_ACTIVITY)) {
span_parent_id = trace_id;
}
auto span = StartSpan(display_name, timestamp_ns, span_parent_id);
if (activity == TRITONSERVER_TRACE_REQUEST_START) {
int64_t model_version;
const char* request_id;
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceModelVersion(trace, &model_version),
"getting model version");
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceRequestId(trace, &request_id),
"getting request id");
span->SetAttribute("triton.model_name", display_name);
span->SetAttribute("triton.model_version", model_version);
span->SetAttribute("triton.trace_id", trace_id);
span->SetAttribute("triton.trace_parent_id", parent_id);
if (std::string(request_id) != "") {
span->SetAttribute("triton.request_id", request_id);
}
triton::common::TritonJson::WriteBuffer buffer;
PrepareTraceContext(span, &buffer);
TRITONSERVER_InferenceTraceSetContext(trace, buffer.Contents().c_str());
}
span_stacks_[trace_id]->emplace(span);
}
opentelemetry::nostd::shared_ptr<otel_trace_api::Span>
TraceManager::Trace::StartSpan(
std::string display_name, const uint64_t& raw_timestamp_ns,
uint64_t trace_id)
{
otel_trace_api::StartSpanOptions options;
options.kind = otel_trace_api::SpanKind::kServer;
options.start_system_time =
time_offset_ + std::chrono::nanoseconds{raw_timestamp_ns};
options.start_steady_time =
otel_common::SteadyTimestamp{std::chrono::nanoseconds{raw_timestamp_ns}};
// If the new span is a child span, we need to retrieve its parent and
// provide it through StartSpanOptions to the child span
if (span_stacks_.find(trace_id) != span_stacks_.end() &&
!span_stacks_[trace_id]->empty()) {
options.parent = span_stacks_[trace_id]->top()->GetContext();
}
auto provider = opentelemetry::trace::Provider::GetTracerProvider();
return provider->GetTracer(kTritonTracer)->StartSpan(display_name, options);
}
void
TraceManager::Trace::EndSpan(uint64_t trace_id)
{
auto timestamp_ns = std::chrono::duration_cast<std::chrono::nanoseconds>(
std::chrono::steady_clock::now().time_since_epoch())
.count();
EndSpan(timestamp_ns, trace_id);
}
void
TraceManager::Trace::EndSpan(
const uint64_t& raw_timestamp_ns, uint64_t trace_id)
{
if (span_stacks_.find(trace_id) != span_stacks_.end() &&
!span_stacks_[trace_id]->empty()) {
otel_trace_api::EndSpanOptions end_options;
end_options.end_steady_time = otel_common::SteadyTimestamp{
std::chrono::nanoseconds{raw_timestamp_ns}};
span_stacks_[trace_id]->top()->End(end_options);
span_stacks_[trace_id]->pop();
}
}
void
TraceManager::Trace::ReportToOpenTelemetry(
TRITONSERVER_InferenceTrace* trace,
TRITONSERVER_InferenceTraceActivity activity, uint64_t timestamp_ns)
{
uint64_t id;
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceId(trace, &id), "getting trace id");
if (span_stacks_.find(id) == span_stacks_.end()) {
std::unique_ptr<
std::stack<opentelemetry::nostd::shared_ptr<otel_trace_api::Span>>>
st(new std::stack<
opentelemetry::nostd::shared_ptr<otel_trace_api::Span>>());
span_stacks_.emplace(id, std::move(st));
}
AddEvent(trace, activity, timestamp_ns, id);
}
void
TraceManager::Trace::AddEvent(
TRITONSERVER_InferenceTrace* trace,
TRITONSERVER_InferenceTraceActivity activity, uint64_t timestamp_ns,
uint64_t trace_id)
{
std::string activity_name =
RetrieveActivityName(trace, activity, timestamp_ns);
static std::string start = "_START";
static std::string end = "_END";
if (activity == TRITONSERVER_TRACE_REQUEST_START ||
activity == TRITONSERVER_TRACE_COMPUTE_START ||
(activity == TRITONSERVER_TRACE_CUSTOM_ACTIVITY &&
activity_name.length() > start.length() &&
std::equal(start.rbegin(), start.rend(), activity_name.rbegin()))) {
std::string span_name = activity_name;
if (activity == TRITONSERVER_TRACE_CUSTOM_ACTIVITY) {
span_name =
activity_name.substr(0, activity_name.length() - start.length());
} else if (activity == TRITONSERVER_TRACE_REQUEST_START) {
const char* model_name;
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceModelName(trace, &model_name),
"getting model name");
span_name = model_name;
} else if (activity == TRITONSERVER_TRACE_COMPUTE_START) {
span_name = "compute";
}
StartSpan(trace, activity, timestamp_ns, trace_id, span_name);
}
AddEvent(activity_name, timestamp_ns, trace_id);
if (activity == TRITONSERVER_TRACE_REQUEST_END ||
activity == TRITONSERVER_TRACE_COMPUTE_END ||
(activity == TRITONSERVER_TRACE_CUSTOM_ACTIVITY &&
activity_name.length() > end.length() &&
std::equal(end.rbegin(), end.rend(), activity_name.rbegin()))) {
EndSpan(timestamp_ns, trace_id);
}
}
void
TraceManager::Trace::AddEvent(
const std::string& event, uint64_t timestamp, uint64_t trace_id)
{
if (span_stacks_.find(trace_id) != span_stacks_.end() &&
!span_stacks_[trace_id]->empty()) {
span_stacks_[trace_id]->top()->AddEvent(
event, time_offset_ + std::chrono::nanoseconds{timestamp});
}
}
void
TraceManager::Trace::PrepareTraceContext(
opentelemetry::nostd::shared_ptr<otel_trace_api::Span> span,
triton::common::TritonJson::WriteBuffer* buffer)
{
triton::common::TritonJson::Value json(
triton::common::TritonJson::ValueType::OBJECT);
char trace_id[32] = {0};
char span_id[16] = {0};
char trace_flags[2] = {0};
span->GetContext().span_id().ToLowerBase16(span_id);
span->GetContext().trace_id().ToLowerBase16(trace_id);
span->GetContext().trace_flags().ToLowerBase16(trace_flags);
std::string kTraceParent = std::string("traceparent");
std::string kTraceState = std::string("tracestate");
std::string traceparent = std::string("00-") + std::string(trace_id, 32) +
std::string("-") + std::string(span_id, 16) +
std::string("-") + std::string(trace_flags, 2);
std::string tracestate = span->GetContext().trace_state()->ToHeader();
json.SetStringObject(kTraceParent.c_str(), traceparent);
if (!tracestate.empty()) {
json.SetStringObject(kTraceState.c_str(), tracestate);
}
json.Write(buffer);
}
#endif
void
TraceManager::TraceRelease(TRITONSERVER_InferenceTrace* trace, void* userp)
{
uint64_t id;
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceId(trace, &id), "getting trace id");
auto ts = reinterpret_cast<std::shared_ptr<TraceManager::Trace>*>(userp);
std::lock_guard<std::mutex> lk((*ts)->mtx_);
(*ts)->spawned_traces_tracker_.erase(id);
// The userp will be shared with the trace children, so only delete it
// if no more TraceRelease calls are expected
if ((*ts)->spawned_traces_tracker_.empty()) {
delete ts;
}
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceDelete(trace), "deleting trace");
}
const char*
TraceManager::InferenceTraceModeString(InferenceTraceMode mode)
{
switch (mode) {
case TRACE_MODE_TRITON:
return "triton";
case TRACE_MODE_OPENTELEMETRY:
return "opentelemetry";
}
return "<unknown>";
}
void
TraceManager::TraceActivity(
TRITONSERVER_InferenceTrace* trace,
TRITONSERVER_InferenceTraceActivity activity, uint64_t timestamp_ns,
void* userp)
{
uint64_t id;
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceId(trace, &id), "getting trace id");
// The function may be called with different traces but the same 'userp',
// group the activity of the same trace together for more readable output.
auto ts =
reinterpret_cast<std::shared_ptr<TraceManager::Trace>*>(userp)->get();
std::lock_guard<std::mutex> lk(ts->mtx_);
if (ts->spawned_traces_tracker_.find(id) ==
ts->spawned_traces_tracker_.end()) {
ts->spawned_traces_tracker_.emplace(id);
}
if (ts->setting_->mode_ == TRACE_MODE_OPENTELEMETRY) {
#ifndef _WIN32
ts->ReportToOpenTelemetry(trace, activity, timestamp_ns);
#else
LOG_ERROR << "Unsupported trace mode: "
<< TraceManager::InferenceTraceModeString(ts->setting_->mode_);
#endif
return;
}
std::stringstream* ss = nullptr;
{
if (ts->streams_.find(id) == ts->streams_.end()) {
std::unique_ptr<std::stringstream> stream(new std::stringstream());
ss = stream.get();
ts->streams_.emplace(id, std::move(stream));
} else {
ss = ts->streams_[id].get();
// If the string stream is not newly created, add "," as there is
// already content in the string stream
*ss << ",";
}
}
// If 'activity' is TRITONSERVER_TRACE_REQUEST_START then collect
// and serialize trace details.
if (activity == TRITONSERVER_TRACE_REQUEST_START) {
const char* model_name;
int64_t model_version;
uint64_t parent_id;
const char* request_id;
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceModelName(trace, &model_name),
"getting model name");
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceModelVersion(trace, &model_version),
"getting model version");
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceParentId(trace, &parent_id),
"getting trace parent id");
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceRequestId(trace, &request_id),
"getting request id");
*ss << "{\"id\":" << id << ",\"model_name\":\"" << model_name
<< "\",\"model_version\":" << model_version;
if (std::string(request_id) != "") {
*ss << ",\"request_id\":\"" << request_id << "\"";
}
if (parent_id != 0) {
*ss << ",\"parent_id\":" << parent_id;
}
*ss << "},";
}
*ss << "{\"id\":" << id << ",\"timestamps\":["
<< "{\"name\":\""
<< ts->RetrieveActivityName(trace, activity, timestamp_ns)
<< "\",\"ns\":" << timestamp_ns << "}]}";
}
void
TraceManager::TraceTensorActivity(
TRITONSERVER_InferenceTrace* trace,
TRITONSERVER_InferenceTraceActivity activity, const char* name,
TRITONSERVER_DataType datatype, const void* base, size_t byte_size,
const int64_t* shape, uint64_t dim_count,
TRITONSERVER_MemoryType memory_type, int64_t memory_type_id, void* userp)
{
if ((activity != TRITONSERVER_TRACE_TENSOR_QUEUE_INPUT) &&
(activity != TRITONSERVER_TRACE_TENSOR_BACKEND_INPUT) &&
(activity != TRITONSERVER_TRACE_TENSOR_BACKEND_OUTPUT)) {
LOG_ERROR << "Unsupported activity: "
<< TRITONSERVER_InferenceTraceActivityString(activity);
return;
}
void* buffer_base = const_cast<void*>(base);
if (memory_type == TRITONSERVER_MEMORY_GPU) {
#ifdef TRITON_ENABLE_GPU
buffer_base = malloc(byte_size);
if (buffer_base == nullptr) {
LOG_ERROR << "Failed to malloc CPU buffer";
return;
}
FAIL_IF_CUDA_ERR(
cudaMemcpy(buffer_base, base, byte_size, cudaMemcpyDeviceToHost),
"copying buffer into CPU memory");
#else
LOG_ERROR << "GPU buffer is unsupported";
return;
#endif // TRITON_ENABLE_GPU
}
uint64_t id;
LOG_TRITONSERVER_ERROR(
TRITONSERVER_InferenceTraceId(trace, &id), "getting trace id");
// The function may be called with different traces but the same 'userp',
// group the activity of the same trace together for more readable output.
auto ts =
reinterpret_cast<std::shared_ptr<TraceManager::Trace>*>(userp)->get();
if (ts->setting_->mode_ == TRACE_MODE_OPENTELEMETRY) {
LOG_ERROR << "Tensor level tracing is not supported by the mode: "
<< TraceManager::InferenceTraceModeString(ts->setting_->mode_);
} else if (ts->setting_->mode_ == TRACE_MODE_TRITON) {
std::lock_guard<std::mutex> lk(ts->mtx_);
std::stringstream* ss = nullptr;
{
if (ts->streams_.find(id) == ts->streams_.end()) {
std::unique_ptr<std::stringstream> stream(new std::stringstream());
ss = stream.get();
ts->streams_.emplace(id, std::move(stream));
ts->spawned_traces_tracker_.emplace(id);
} else {
ss = ts->streams_[id].get();
// If the string stream is not newly created, add "," as there is
// already content in the string stream
*ss << ",";
}
}
// collect and serialize trace details.
*ss << "{\"id\":" << id << ",\"activity\":\""
<< TRITONSERVER_InferenceTraceActivityString(activity) << "\"";
// collect tensor
*ss << ",\"tensor\":{";
// collect tensor name
*ss << "\"name\":\"" << std::string(name) << "\"";
// collect tensor data
*ss << ",\"data\":\"";
size_t element_count = 1;
for (uint64_t i = 0; i < dim_count; i++) {
element_count *= shape[i];
}
switch (datatype) {
case TRITONSERVER_TYPE_BOOL: {
const uint8_t* bool_base =
reinterpret_cast<const uint8_t*>(buffer_base);
for (size_t e = 0; e < element_count; ++e) {
*ss << ((bool_base[e] == 0) ? false : true);
if (e < (element_count - 1))
*ss << ",";
}
break;
}
case TRITONSERVER_TYPE_UINT8: {
const uint8_t* cbase = reinterpret_cast<const uint8_t*>(buffer_base);
for (size_t e = 0; e < element_count; ++e) {
*ss << cbase[e];
if (e < (element_count - 1))
*ss << ",";
}
break;
}
case TRITONSERVER_TYPE_UINT16: {
const uint16_t* cbase = reinterpret_cast<const uint16_t*>(buffer_base);
for (size_t e = 0; e < element_count; ++e) {
*ss << cbase[e];
if (e < (element_count - 1))
*ss << ",";
}
break;
}
case TRITONSERVER_TYPE_UINT32: {
const uint32_t* cbase = reinterpret_cast<const uint32_t*>(buffer_base);
for (size_t e = 0; e < element_count; ++e) {
*ss << cbase[e];
if (e < (element_count - 1))
*ss << ",";
}
break;
}
case TRITONSERVER_TYPE_UINT64: {
const uint64_t* cbase = reinterpret_cast<const uint64_t*>(buffer_base);
for (size_t e = 0; e < element_count; ++e) {
*ss << cbase[e];
if (e < (element_count - 1))
*ss << ",";
}
break;
}
case TRITONSERVER_TYPE_INT8: {
const int8_t* cbase = reinterpret_cast<const int8_t*>(buffer_base);
for (size_t e = 0; e < element_count; ++e) {
*ss << cbase[e];
if (e < (element_count - 1))
*ss << ",";
}
break;
}
case TRITONSERVER_TYPE_INT16: {
const int16_t* cbase = reinterpret_cast<const int16_t*>(buffer_base);
for (size_t e = 0; e < element_count; ++e) {
*ss << cbase[e];
if (e < (element_count - 1))
*ss << ",";
}
break;
}
case TRITONSERVER_TYPE_INT32: {
const int32_t* cbase = reinterpret_cast<const int32_t*>(buffer_base);
for (size_t e = 0; e < element_count; ++e) {
*ss << cbase[e];
if (e < (element_count - 1))
*ss << ",";
}
break;
}
case TRITONSERVER_TYPE_INT64: {