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https://github.com/wolfpld/tracy.git
synced 2024-11-22 14:44:34 +00:00
Use zstd dict for packing/unpacking frame images.
This only affects run-time memory usage and needs an offline calculation of the dictionary. Results vary depending on similarity of image blocks. agora 34.96 MB -> 28.21 MB agora2 40.75 MB -> 34.14 MB android-vk 36.21 MB -> 18.44 MB astar3 44.72 MB -> 43.38 MB clipper1 134.36 MB -> 52.16 MB fi 50.82 MB -> 40.79 MB fi-big 537.74 MB -> 469.54 MB test 23.26 MB -> 1.87 MB
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@ -11,6 +11,7 @@ TextureCompression::TextureCompression()
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, m_bufSize( 0 )
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, m_cctx( ZSTD_createCCtx() )
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, m_dctx( ZSTD_createDCtx() )
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, m_dict( nullptr )
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{
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}
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@ -19,6 +20,7 @@ TextureCompression::~TextureCompression()
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delete[] m_buf;
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ZSTD_freeCCtx( m_cctx );
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ZSTD_freeDCtx( m_dctx );
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ZSTD_freeDDict( m_dict );
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}
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uint32_t TextureCompression::Pack( struct ZSTD_CCtx_s* ctx, char*& buf, size_t& bufsz, const char* image, uint32_t inBytes )
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@ -67,7 +69,14 @@ const char* TextureCompression::Unpack( const FrameImage& image )
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m_buf = new char[outsz];
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}
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assert( m_dctx );
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ZSTD_decompressDCtx( m_dctx, m_buf, outsz, image.ptr, image.csz );
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if( m_dict )
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{
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ZSTD_decompress_usingDDict( m_dctx, m_buf, outsz, image.ptr, image.csz, m_dict );
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}
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else
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{
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ZSTD_decompressDCtx( m_dctx, m_buf, outsz, image.ptr, image.csz );
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}
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return m_buf;
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}
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@ -11,6 +11,7 @@
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struct ZSTD_CCtx_s;
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struct ZSTD_DCtx_s;
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struct ZSTD_CDict_s;
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struct ZSTD_DDict_s;
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namespace tracy
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{
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@ -23,6 +24,8 @@ public:
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TextureCompression();
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~TextureCompression();
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void SetDict( struct ZSTD_DDict_s* dict ) { m_dict = dict; }
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uint32_t Pack( struct ZSTD_CCtx_s* ctx, char*& buf, size_t& bufsz, const char* image, uint32_t inBytes );
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uint32_t Pack( struct ZSTD_CCtx_s* ctx, const struct ZSTD_CDict_s* dict, char*& buf, size_t& bufsz, const char* image, uint32_t inBytes );
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@ -49,6 +52,7 @@ private:
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size_t m_bufSize;
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struct ZSTD_CCtx_s* m_cctx;
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struct ZSTD_DCtx_s* m_dctx;
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struct ZSTD_DDict_s* m_dict;
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std::atomic<uint64_t> m_inputBytes { 0 };
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std::atomic<uint64_t> m_outputBytes { 0 };
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@ -1291,6 +1291,18 @@ Worker::Worker( FileRead& f, EventType::Type eventMask, bool bgTasks )
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if( eventMask & EventType::FrameImages )
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{
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ZSTD_CDict* cdict = nullptr;
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if( fileVer >= FileVersion( 0, 7, 8 ) )
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{
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uint32_t dsz;
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f.Read( dsz );
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auto dict = new char[dsz];
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f.Read( dict, dsz );
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cdict = ZSTD_createCDict( dict, dsz, 3 );
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m_texcomp.SetDict( ZSTD_createDDict( dict, dsz ) );
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delete[] dict;
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}
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f.Read( sz );
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m_data.frameImage.reserve_exact( sz, m_slab );
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s_loadProgress.subTotal.store( sz, std::memory_order_relaxed );
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@ -1353,9 +1365,16 @@ Worker::Worker( FileRead& f, EventType::Type eventMask, bool bgTasks )
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data[idx].fi = fi;
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data[idx].state.store( JobData::InProgress, std::memory_order_release );
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td->Queue( [this, &data, idx, fi, fileVer] {
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td->Queue( [this, &data, idx, fi, fileVer, cdict] {
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if( fileVer <= FileVersion( 0, 6, 9 ) ) m_texcomp.Rdo( data[idx].buf, fi->w * fi->h / 16 );
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fi->csz = m_texcomp.Pack( data[idx].ctx, data[idx].outbuf, data[idx].outsz, data[idx].buf, fi->w * fi->h / 2 );
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if( cdict )
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{
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fi->csz = m_texcomp.Pack( data[idx].ctx, cdict, data[idx].outbuf, data[idx].outsz, data[idx].buf, fi->w * fi->h / 2 );
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}
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else
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{
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fi->csz = m_texcomp.Pack( data[idx].ctx, data[idx].outbuf, data[idx].outsz, data[idx].buf, fi->w * fi->h / 2 );
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}
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data[idx].state.store( JobData::DataReady, std::memory_order_release );
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} );
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@ -1387,9 +1406,17 @@ Worker::Worker( FileRead& f, EventType::Type eventMask, bool bgTasks )
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}
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}
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}
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ZSTD_freeCDict( cdict );
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}
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else
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{
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if( fileVer >= FileVersion( 0, 7, 8 ) )
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{
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uint32_t dsz;
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f.Read( dsz );
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f.Skip( dsz );
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}
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f.Read( sz );
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s_loadProgress.subTotal.store( sz, std::memory_order_relaxed );
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for( uint64_t i=0; i<sz; i++ )
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