tracy/client/TracyProfiler.hpp

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#ifndef __TRACYPROFILER_HPP__
#define __TRACYPROFILER_HPP__
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#include <assert.h>
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#include <atomic>
#include <chrono>
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#include <stdint.h>
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#include <string.h>
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#include "concurrentqueue.h"
#include "TracyCallstack.hpp"
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#include "TracyFastVector.hpp"
#include "../common/tracy_lz4.hpp"
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#include "../common/TracyQueue.hpp"
#include "../common/TracyAlign.hpp"
#include "../common/TracyAlloc.hpp"
Use the fastest mutex available. The selection is based on the following test results: MSVC: === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 11.641 ns/iter 2 thread contention: 141.559 ns/iter 3 thread contention: 242.733 ns/iter 4 thread contention: 409.807 ns/iter 5 thread contention: 561.544 ns/iter 6 thread contention: 785.845 ns/iter => std::mutex No contention: 19.190 ns/iter 2 thread contention: 39.305 ns/iter 3 thread contention: 58.999 ns/iter 4 thread contention: 59.532 ns/iter 5 thread contention: 103.539 ns/iter 6 thread contention: 110.314 ns/iter => std::shared_timed_mutex No contention: 45.487 ns/iter 2 thread contention: 96.351 ns/iter 3 thread contention: 142.871 ns/iter 4 thread contention: 184.999 ns/iter 5 thread contention: 336.608 ns/iter 6 thread contention: 542.551 ns/iter => std::shared_mutex No contention: 10.861 ns/iter 2 thread contention: 17.495 ns/iter 3 thread contention: 31.126 ns/iter 4 thread contention: 40.468 ns/iter 5 thread contention: 15.677 ns/iter 6 thread contention: 64.505 ns/iter Cygwin (clang): === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 11.536 ns/iter 2 thread contention: 121.082 ns/iter 3 thread contention: 396.430 ns/iter 4 thread contention: 672.555 ns/iter 5 thread contention: 1327.761 ns/iter 6 thread contention: 14151.955 ns/iter => std::mutex No contention: 62.583 ns/iter 2 thread contention: 3990.464 ns/iter 3 thread contention: 7161.189 ns/iter 4 thread contention: 9870.820 ns/iter 5 thread contention: 12355.178 ns/iter 6 thread contention: 14694.903 ns/iter => std::shared_timed_mutex No contention: 91.687 ns/iter 2 thread contention: 1115.037 ns/iter 3 thread contention: 4183.792 ns/iter 4 thread contention: 15283.491 ns/iter 5 thread contention: 27812.477 ns/iter 6 thread contention: 35028.140 ns/iter => std::shared_mutex No contention: 91.764 ns/iter 2 thread contention: 1051.826 ns/iter 3 thread contention: 5574.720 ns/iter 4 thread contention: 15721.416 ns/iter 5 thread contention: 27721.487 ns/iter 6 thread contention: 35420.404 ns/iter Linux (x64): === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 13.487 ns/iter 2 thread contention: 210.317 ns/iter 3 thread contention: 430.855 ns/iter 4 thread contention: 510.533 ns/iter 5 thread contention: 1003.609 ns/iter 6 thread contention: 1787.683 ns/iter => std::mutex No contention: 12.403 ns/iter 2 thread contention: 157.122 ns/iter 3 thread contention: 186.791 ns/iter 4 thread contention: 265.073 ns/iter 5 thread contention: 283.778 ns/iter 6 thread contention: 270.687 ns/iter => std::shared_timed_mutex No contention: 21.509 ns/iter 2 thread contention: 150.179 ns/iter 3 thread contention: 256.574 ns/iter 4 thread contention: 415.351 ns/iter 5 thread contention: 611.532 ns/iter 6 thread contention: 944.695 ns/iter => std::shared_mutex No contention: 20.805 ns/iter 2 thread contention: 157.034 ns/iter 3 thread contention: 244.025 ns/iter 4 thread contention: 406.269 ns/iter 5 thread contention: 387.985 ns/iter 6 thread contention: 468.550 ns/iter Linux (arm64): === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 20.891 ns/iter 2 thread contention: 211.037 ns/iter 3 thread contention: 409.962 ns/iter 4 thread contention: 657.441 ns/iter 5 thread contention: 828.405 ns/iter 6 thread contention: 1131.827 ns/iter => std::mutex No contention: 50.884 ns/iter 2 thread contention: 103.620 ns/iter 3 thread contention: 332.429 ns/iter 4 thread contention: 620.802 ns/iter 5 thread contention: 783.943 ns/iter 6 thread contention: 834.002 ns/iter => std::shared_timed_mutex No contention: 64.948 ns/iter 2 thread contention: 173.191 ns/iter 3 thread contention: 490.352 ns/iter 4 thread contention: 660.668 ns/iter 5 thread contention: 1014.546 ns/iter 6 thread contention: 1451.553 ns/iter => std::shared_mutex No contention: 64.521 ns/iter 2 thread contention: 195.222 ns/iter 3 thread contention: 490.819 ns/iter 4 thread contention: 654.786 ns/iter 5 thread contention: 955.759 ns/iter 6 thread contention: 1282.544 ns/iter
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#include "../common/TracyMutex.hpp"
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#include "../common/TracySystem.hpp"
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#if defined _MSC_VER || defined __CYGWIN__
# include <intrin.h>
#endif
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#if defined _MSC_VER || defined __CYGWIN__ || ( ( defined __i386 || defined _M_IX86 || defined __x86_64__ || defined _M_X64 ) && !defined __ANDROID__ ) || __ARM_ARCH >= 6
# define TRACY_HW_TIMER
# if defined _MSC_VER || defined __CYGWIN__
// Enable optimization for MSVC __rdtscp() intrin, saving one LHS of a cpu value on the stack.
// This comes at the cost of an unaligned memory write.
# define TRACY_RDTSCP_OPT
# endif
#endif
#define TracyConcat(x,y) TracyConcatIndirect(x,y)
#define TracyConcatIndirect(x,y) x##y
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namespace tracy
{
class Socket;
struct SourceLocationData
{
const char* name;
const char* function;
const char* file;
uint32_t line;
uint32_t color;
};
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struct ProducerWrapper
{
tracy::moodycamel::ConcurrentQueue<QueueItem>::ExplicitProducer* ptr;
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};
extern thread_local ProducerWrapper s_token;
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class GpuCtx;
struct GpuCtxWrapper
{
GpuCtx* ptr;
};
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class VkCtx;
struct VkCtxWrapper
{
VkCtx* ptr;
};
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#ifdef TRACY_ON_DEMAND
struct LuaZoneState
{
uint32_t counter;
bool active;
};
#endif
using Magic = tracy::moodycamel::ConcurrentQueueDefaultTraits::index_t;
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#if __ARM_ARCH >= 6
extern int64_t (*GetTimeImpl)();
#endif
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class Profiler;
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extern Profiler& s_profiler;
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class Profiler
{
public:
Profiler();
~Profiler();
static tracy_force_inline int64_t GetTime( uint32_t& cpu )
{
#ifdef TRACY_HW_TIMER
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# if __ARM_ARCH >= 6
cpu = 0xFFFFFFFF;
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return GetTimeImpl();
# elif defined _MSC_VER || defined __CYGWIN__
const auto t = int64_t( __rdtscp( &cpu ) );
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return t;
# elif defined __i386 || defined _M_IX86 || defined __x86_64__ || defined _M_X64
uint32_t eax, edx;
asm volatile ( "rdtscp" : "=a" (eax), "=d" (edx), "=c" (cpu) :: );
return ( uint64_t( edx ) << 32 ) + uint64_t( eax );
# endif
#else
cpu = 0xFFFFFFFF;
return std::chrono::duration_cast<std::chrono::nanoseconds>( std::chrono::high_resolution_clock::now().time_since_epoch() ).count();
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#endif
}
static tracy_force_inline int64_t GetTime()
{
#ifdef TRACY_HW_TIMER
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# if __ARM_ARCH >= 6
return GetTimeImpl();
# elif defined _MSC_VER || defined __CYGWIN__
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unsigned int dontcare;
const auto t = int64_t( __rdtscp( &dontcare ) );
return t;
# elif defined __i386 || defined _M_IX86 || defined __x86_64__ || defined _M_X64
uint32_t eax, edx;
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asm volatile ( "rdtscp" : "=a" (eax), "=d" (edx) :: "%ecx" );
return ( uint64_t( edx ) << 32 ) + uint64_t( eax );
# endif
#else
return std::chrono::duration_cast<std::chrono::nanoseconds>( std::chrono::high_resolution_clock::now().time_since_epoch() ).count();
#endif
}
static tracy_force_inline void SendFrameMark()
{
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#ifdef TRACY_ON_DEMAND
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s_profiler.m_frameCount.fetch_add( 1, std::memory_order_relaxed );
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if( !s_profiler.IsConnected() ) return;
#endif
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Magic magic;
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auto& token = s_token.ptr;
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auto& tail = token->get_tail_index();
auto item = token->enqueue_begin<tracy::moodycamel::CanAlloc>( magic );
MemWrite( &item->hdr.type, QueueType::FrameMarkMsg );
MemWrite( &item->frameMark.time, GetTime() );
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MemWrite( &item->frameMark.name, uint64_t( 0 ) );
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tail.store( magic + 1, std::memory_order_release );
}
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static tracy_force_inline void SendFrameMark( const char* name, QueueType type )
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{
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assert( type == QueueType::FrameMarkMsg || type == QueueType::FrameMarkMsgStart || type == QueueType::FrameMarkMsgEnd );
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#ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
#endif
Magic magic;
auto& token = s_token.ptr;
auto& tail = token->get_tail_index();
auto item = token->enqueue_begin<tracy::moodycamel::CanAlloc>( magic );
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MemWrite( &item->hdr.type, type );
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MemWrite( &item->frameMark.time, GetTime() );
MemWrite( &item->frameMark.name, uint64_t( name ) );
tail.store( magic + 1, std::memory_order_release );
}
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static tracy_force_inline void PlotData( const char* name, int64_t val )
{
#ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
#endif
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Magic magic;
auto& token = s_token.ptr;
auto& tail = token->get_tail_index();
auto item = token->enqueue_begin<tracy::moodycamel::CanAlloc>( magic );
MemWrite( &item->hdr.type, QueueType::PlotData );
MemWrite( &item->plotData.name, (uint64_t)name );
MemWrite( &item->plotData.time, GetTime() );
MemWrite( &item->plotData.type, PlotDataType::Int );
MemWrite( &item->plotData.data.i, val );
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tail.store( magic + 1, std::memory_order_release );
}
static tracy_force_inline void PlotData( const char* name, float val )
{
#ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
#endif
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Magic magic;
auto& token = s_token.ptr;
auto& tail = token->get_tail_index();
auto item = token->enqueue_begin<tracy::moodycamel::CanAlloc>( magic );
MemWrite( &item->hdr.type, QueueType::PlotData );
MemWrite( &item->plotData.name, (uint64_t)name );
MemWrite( &item->plotData.time, GetTime() );
MemWrite( &item->plotData.type, PlotDataType::Float );
MemWrite( &item->plotData.data.f, val );
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tail.store( magic + 1, std::memory_order_release );
}
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static tracy_force_inline void PlotData( const char* name, double val )
{
#ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
#endif
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Magic magic;
auto& token = s_token.ptr;
auto& tail = token->get_tail_index();
auto item = token->enqueue_begin<tracy::moodycamel::CanAlloc>( magic );
MemWrite( &item->hdr.type, QueueType::PlotData );
MemWrite( &item->plotData.name, (uint64_t)name );
MemWrite( &item->plotData.time, GetTime() );
MemWrite( &item->plotData.type, PlotDataType::Double );
MemWrite( &item->plotData.data.d, val );
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tail.store( magic + 1, std::memory_order_release );
}
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static tracy_force_inline void Message( const char* txt, size_t size )
{
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#ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
#endif
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Magic magic;
auto& token = s_token.ptr;
auto ptr = (char*)tracy_malloc( size+1 );
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memcpy( ptr, txt, size );
ptr[size] = '\0';
auto& tail = token->get_tail_index();
auto item = token->enqueue_begin<tracy::moodycamel::CanAlloc>( magic );
MemWrite( &item->hdr.type, QueueType::Message );
MemWrite( &item->message.time, GetTime() );
MemWrite( &item->message.thread, GetThreadHandle() );
MemWrite( &item->message.text, (uint64_t)ptr );
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tail.store( magic + 1, std::memory_order_release );
}
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static tracy_force_inline void Message( const char* txt )
{
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#ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
#endif
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Magic magic;
auto& token = s_token.ptr;
auto& tail = token->get_tail_index();
auto item = token->enqueue_begin<tracy::moodycamel::CanAlloc>( magic );
MemWrite( &item->hdr.type, QueueType::MessageLiteral );
MemWrite( &item->message.time, GetTime() );
MemWrite( &item->message.thread, GetThreadHandle() );
MemWrite( &item->message.text, (uint64_t)txt );
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tail.store( magic + 1, std::memory_order_release );
}
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static tracy_force_inline void MemAlloc( const void* ptr, size_t size )
{
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#ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
#endif
const auto thread = GetThreadHandle();
s_profiler.m_serialLock.lock();
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SendMemAlloc( QueueType::MemAlloc, thread, ptr, size );
s_profiler.m_serialLock.unlock();
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}
static tracy_force_inline void MemFree( const void* ptr )
{
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#ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
#endif
const auto thread = GetThreadHandle();
s_profiler.m_serialLock.lock();
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SendMemFree( QueueType::MemFree, thread, ptr );
s_profiler.m_serialLock.unlock();
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}
static tracy_force_inline void MemAllocCallstack( const void* ptr, size_t size, int depth )
{
#ifdef TRACY_HAS_CALLSTACK
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# ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
# endif
const auto thread = GetThreadHandle();
rpmalloc_thread_initialize();
auto callstack = Callstack( depth );
s_profiler.m_serialLock.lock();
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SendMemAlloc( QueueType::MemAllocCallstack, thread, ptr, size );
SendCallstackMemory( callstack );
s_profiler.m_serialLock.unlock();
#else
MemAlloc( ptr, size );
#endif
}
static tracy_force_inline void MemFreeCallstack( const void* ptr, int depth )
{
#ifdef TRACY_HAS_CALLSTACK
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# ifdef TRACY_ON_DEMAND
if( !s_profiler.IsConnected() ) return;
# endif
const auto thread = GetThreadHandle();
rpmalloc_thread_initialize();
auto callstack = Callstack( depth );
s_profiler.m_serialLock.lock();
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SendMemFree( QueueType::MemFreeCallstack, thread, ptr );
SendCallstackMemory( callstack );
s_profiler.m_serialLock.unlock();
#else
MemFree( ptr );
#endif
}
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static tracy_force_inline void SendCallstack( int depth, uint64_t thread )
{
#ifdef TRACY_HAS_CALLSTACK
auto ptr = Callstack( depth );
Magic magic;
auto& token = s_token.ptr;
auto& tail = token->get_tail_index();
auto item = token->enqueue_begin<tracy::moodycamel::CanAlloc>( magic );
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MemWrite( &item->hdr.type, QueueType::Callstack );
MemWrite( &item->callstack.ptr, ptr );
MemWrite( &item->callstack.thread, thread );
tail.store( magic + 1, std::memory_order_release );
#endif
}
static bool ShouldExit();
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#ifdef TRACY_ON_DEMAND
tracy_force_inline bool IsConnected()
{
return m_isConnected.load( std::memory_order_relaxed );
}
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tracy_force_inline void DeferItem( const QueueItem& item )
{
m_deferredLock.lock();
auto dst = m_deferredQueue.push_next();
memcpy( dst, &item, sizeof( item ) );
m_deferredLock.unlock();
}
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#endif
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private:
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enum DequeueStatus { Success, ConnectionLost, QueueEmpty };
static void LaunchWorker( void* ptr ) { ((Profiler*)ptr)->Worker(); }
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void Worker();
void ClearQueues( tracy::moodycamel::ConsumerToken& token );
DequeueStatus Dequeue( tracy::moodycamel::ConsumerToken& token );
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DequeueStatus DequeueSerial();
bool AppendData( const void* data, size_t len );
bool CommitData();
bool NeedDataSize( size_t len );
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tracy_force_inline void AppendDataUnsafe( const void* data, size_t len )
{
memcpy( m_buffer + m_bufferOffset, data, len );
m_bufferOffset += int( len );
}
bool SendData( const char* data, size_t len );
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void SendString( uint64_t ptr, const char* str, QueueType type );
void SendSourceLocation( uint64_t ptr );
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void SendSourceLocationPayload( uint64_t ptr );
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void SendCallstackPayload( uint64_t ptr );
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void SendCallstackFrame( uint64_t ptr );
bool HandleServerQuery();
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void CalibrateTimer();
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void CalibrateDelay();
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static tracy_force_inline void SendCallstackMemory( void* ptr )
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{
#ifdef TRACY_HAS_CALLSTACK
auto item = s_profiler.m_serialQueue.push_next();
MemWrite( &item->hdr.type, QueueType::CallstackMemory );
MemWrite( &item->callstackMemory.ptr, (uint64_t)ptr );
#endif
}
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static tracy_force_inline void SendMemAlloc( QueueType type, const uint64_t thread, const void* ptr, size_t size )
{
assert( type == QueueType::MemAlloc || type == QueueType::MemAllocCallstack );
auto item = s_profiler.m_serialQueue.push_next();
MemWrite( &item->hdr.type, type );
MemWrite( &item->memAlloc.time, GetTime() );
MemWrite( &item->memAlloc.thread, thread );
MemWrite( &item->memAlloc.ptr, (uint64_t)ptr );
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if( compile_time_condition<sizeof( size ) == 4>::value )
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{
memcpy( &item->memAlloc.size, &size, 4 );
memset( &item->memAlloc.size + 4, 0, 2 );
}
else
{
assert( sizeof( size ) == 8 );
memcpy( &item->memAlloc.size, &size, 6 );
}
}
static tracy_force_inline void SendMemFree( QueueType type, const uint64_t thread, const void* ptr )
{
assert( type == QueueType::MemFree || type == QueueType::MemFreeCallstack );
auto item = s_profiler.m_serialQueue.push_next();
MemWrite( &item->hdr.type, type );
MemWrite( &item->memFree.time, GetTime() );
MemWrite( &item->memFree.thread, thread );
MemWrite( &item->memFree.ptr, (uint64_t)ptr );
}
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double m_timerMul;
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uint64_t m_resolution;
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uint64_t m_delay;
std::atomic<int64_t> m_timeBegin;
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uint64_t m_mainThread;
uint64_t m_epoch;
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std::atomic<bool> m_shutdown;
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Socket* m_sock;
bool m_noExit;
LZ4_stream_t* m_stream;
char* m_buffer;
int m_bufferOffset;
int m_bufferStart;
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QueueItem* m_itemBuf;
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char* m_lz4Buf;
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FastVector<QueueItem> m_serialQueue, m_serialDequeue;
Use the fastest mutex available. The selection is based on the following test results: MSVC: === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 11.641 ns/iter 2 thread contention: 141.559 ns/iter 3 thread contention: 242.733 ns/iter 4 thread contention: 409.807 ns/iter 5 thread contention: 561.544 ns/iter 6 thread contention: 785.845 ns/iter => std::mutex No contention: 19.190 ns/iter 2 thread contention: 39.305 ns/iter 3 thread contention: 58.999 ns/iter 4 thread contention: 59.532 ns/iter 5 thread contention: 103.539 ns/iter 6 thread contention: 110.314 ns/iter => std::shared_timed_mutex No contention: 45.487 ns/iter 2 thread contention: 96.351 ns/iter 3 thread contention: 142.871 ns/iter 4 thread contention: 184.999 ns/iter 5 thread contention: 336.608 ns/iter 6 thread contention: 542.551 ns/iter => std::shared_mutex No contention: 10.861 ns/iter 2 thread contention: 17.495 ns/iter 3 thread contention: 31.126 ns/iter 4 thread contention: 40.468 ns/iter 5 thread contention: 15.677 ns/iter 6 thread contention: 64.505 ns/iter Cygwin (clang): === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 11.536 ns/iter 2 thread contention: 121.082 ns/iter 3 thread contention: 396.430 ns/iter 4 thread contention: 672.555 ns/iter 5 thread contention: 1327.761 ns/iter 6 thread contention: 14151.955 ns/iter => std::mutex No contention: 62.583 ns/iter 2 thread contention: 3990.464 ns/iter 3 thread contention: 7161.189 ns/iter 4 thread contention: 9870.820 ns/iter 5 thread contention: 12355.178 ns/iter 6 thread contention: 14694.903 ns/iter => std::shared_timed_mutex No contention: 91.687 ns/iter 2 thread contention: 1115.037 ns/iter 3 thread contention: 4183.792 ns/iter 4 thread contention: 15283.491 ns/iter 5 thread contention: 27812.477 ns/iter 6 thread contention: 35028.140 ns/iter => std::shared_mutex No contention: 91.764 ns/iter 2 thread contention: 1051.826 ns/iter 3 thread contention: 5574.720 ns/iter 4 thread contention: 15721.416 ns/iter 5 thread contention: 27721.487 ns/iter 6 thread contention: 35420.404 ns/iter Linux (x64): === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 13.487 ns/iter 2 thread contention: 210.317 ns/iter 3 thread contention: 430.855 ns/iter 4 thread contention: 510.533 ns/iter 5 thread contention: 1003.609 ns/iter 6 thread contention: 1787.683 ns/iter => std::mutex No contention: 12.403 ns/iter 2 thread contention: 157.122 ns/iter 3 thread contention: 186.791 ns/iter 4 thread contention: 265.073 ns/iter 5 thread contention: 283.778 ns/iter 6 thread contention: 270.687 ns/iter => std::shared_timed_mutex No contention: 21.509 ns/iter 2 thread contention: 150.179 ns/iter 3 thread contention: 256.574 ns/iter 4 thread contention: 415.351 ns/iter 5 thread contention: 611.532 ns/iter 6 thread contention: 944.695 ns/iter => std::shared_mutex No contention: 20.805 ns/iter 2 thread contention: 157.034 ns/iter 3 thread contention: 244.025 ns/iter 4 thread contention: 406.269 ns/iter 5 thread contention: 387.985 ns/iter 6 thread contention: 468.550 ns/iter Linux (arm64): === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 20.891 ns/iter 2 thread contention: 211.037 ns/iter 3 thread contention: 409.962 ns/iter 4 thread contention: 657.441 ns/iter 5 thread contention: 828.405 ns/iter 6 thread contention: 1131.827 ns/iter => std::mutex No contention: 50.884 ns/iter 2 thread contention: 103.620 ns/iter 3 thread contention: 332.429 ns/iter 4 thread contention: 620.802 ns/iter 5 thread contention: 783.943 ns/iter 6 thread contention: 834.002 ns/iter => std::shared_timed_mutex No contention: 64.948 ns/iter 2 thread contention: 173.191 ns/iter 3 thread contention: 490.352 ns/iter 4 thread contention: 660.668 ns/iter 5 thread contention: 1014.546 ns/iter 6 thread contention: 1451.553 ns/iter => std::shared_mutex No contention: 64.521 ns/iter 2 thread contention: 195.222 ns/iter 3 thread contention: 490.819 ns/iter 4 thread contention: 654.786 ns/iter 5 thread contention: 955.759 ns/iter 6 thread contention: 1282.544 ns/iter
2018-07-13 22:39:01 +00:00
TracyMutex m_serialLock;
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#ifdef TRACY_ON_DEMAND
std::atomic<bool> m_isConnected;
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std::atomic<uint64_t> m_frameCount;
2018-07-11 10:14:28 +00:00
Use the fastest mutex available. The selection is based on the following test results: MSVC: === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 11.641 ns/iter 2 thread contention: 141.559 ns/iter 3 thread contention: 242.733 ns/iter 4 thread contention: 409.807 ns/iter 5 thread contention: 561.544 ns/iter 6 thread contention: 785.845 ns/iter => std::mutex No contention: 19.190 ns/iter 2 thread contention: 39.305 ns/iter 3 thread contention: 58.999 ns/iter 4 thread contention: 59.532 ns/iter 5 thread contention: 103.539 ns/iter 6 thread contention: 110.314 ns/iter => std::shared_timed_mutex No contention: 45.487 ns/iter 2 thread contention: 96.351 ns/iter 3 thread contention: 142.871 ns/iter 4 thread contention: 184.999 ns/iter 5 thread contention: 336.608 ns/iter 6 thread contention: 542.551 ns/iter => std::shared_mutex No contention: 10.861 ns/iter 2 thread contention: 17.495 ns/iter 3 thread contention: 31.126 ns/iter 4 thread contention: 40.468 ns/iter 5 thread contention: 15.677 ns/iter 6 thread contention: 64.505 ns/iter Cygwin (clang): === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 11.536 ns/iter 2 thread contention: 121.082 ns/iter 3 thread contention: 396.430 ns/iter 4 thread contention: 672.555 ns/iter 5 thread contention: 1327.761 ns/iter 6 thread contention: 14151.955 ns/iter => std::mutex No contention: 62.583 ns/iter 2 thread contention: 3990.464 ns/iter 3 thread contention: 7161.189 ns/iter 4 thread contention: 9870.820 ns/iter 5 thread contention: 12355.178 ns/iter 6 thread contention: 14694.903 ns/iter => std::shared_timed_mutex No contention: 91.687 ns/iter 2 thread contention: 1115.037 ns/iter 3 thread contention: 4183.792 ns/iter 4 thread contention: 15283.491 ns/iter 5 thread contention: 27812.477 ns/iter 6 thread contention: 35028.140 ns/iter => std::shared_mutex No contention: 91.764 ns/iter 2 thread contention: 1051.826 ns/iter 3 thread contention: 5574.720 ns/iter 4 thread contention: 15721.416 ns/iter 5 thread contention: 27721.487 ns/iter 6 thread contention: 35420.404 ns/iter Linux (x64): === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 13.487 ns/iter 2 thread contention: 210.317 ns/iter 3 thread contention: 430.855 ns/iter 4 thread contention: 510.533 ns/iter 5 thread contention: 1003.609 ns/iter 6 thread contention: 1787.683 ns/iter => std::mutex No contention: 12.403 ns/iter 2 thread contention: 157.122 ns/iter 3 thread contention: 186.791 ns/iter 4 thread contention: 265.073 ns/iter 5 thread contention: 283.778 ns/iter 6 thread contention: 270.687 ns/iter => std::shared_timed_mutex No contention: 21.509 ns/iter 2 thread contention: 150.179 ns/iter 3 thread contention: 256.574 ns/iter 4 thread contention: 415.351 ns/iter 5 thread contention: 611.532 ns/iter 6 thread contention: 944.695 ns/iter => std::shared_mutex No contention: 20.805 ns/iter 2 thread contention: 157.034 ns/iter 3 thread contention: 244.025 ns/iter 4 thread contention: 406.269 ns/iter 5 thread contention: 387.985 ns/iter 6 thread contention: 468.550 ns/iter Linux (arm64): === Lock test, 6 threads === => NonRecursiveBenaphore No contention: 20.891 ns/iter 2 thread contention: 211.037 ns/iter 3 thread contention: 409.962 ns/iter 4 thread contention: 657.441 ns/iter 5 thread contention: 828.405 ns/iter 6 thread contention: 1131.827 ns/iter => std::mutex No contention: 50.884 ns/iter 2 thread contention: 103.620 ns/iter 3 thread contention: 332.429 ns/iter 4 thread contention: 620.802 ns/iter 5 thread contention: 783.943 ns/iter 6 thread contention: 834.002 ns/iter => std::shared_timed_mutex No contention: 64.948 ns/iter 2 thread contention: 173.191 ns/iter 3 thread contention: 490.352 ns/iter 4 thread contention: 660.668 ns/iter 5 thread contention: 1014.546 ns/iter 6 thread contention: 1451.553 ns/iter => std::shared_mutex No contention: 64.521 ns/iter 2 thread contention: 195.222 ns/iter 3 thread contention: 490.819 ns/iter 4 thread contention: 654.786 ns/iter 5 thread contention: 955.759 ns/iter 6 thread contention: 1282.544 ns/iter
2018-07-13 22:39:01 +00:00
TracyMutex m_deferredLock;
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FastVector<QueueItem> m_deferredQueue;
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#endif
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};
};
#endif