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2017-02-22 23:26:44 +01:00
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2017-06-21 06:54:28 -07:00
< div class = "fragment" > < div class = "line" > < a name = "l00001" > < / a > < span class = "lineno" > 1< / span >   < span class = "comment" > /**< / span > < / div >
< div class = "line" > < a name = "l00002" > < / a > < span class = "lineno" > 2< / span >   < span class = "comment" > * Copyright (c) 2015-present, Facebook, Inc.< / span > < / div >
< div class = "line" > < a name = "l00003" > < / a > < span class = "lineno" > 3< / span >   < span class = "comment" > * All rights reserved.< / span > < / div >
< div class = "line" > < a name = "l00004" > < / a > < span class = "lineno" > 4< / span >   < span class = "comment" > *< / span > < / div >
< div class = "line" > < a name = "l00005" > < / a > < span class = "lineno" > 5< / span >   < span class = "comment" > * This source code is licensed under the CC-by-NC license found in the< / span > < / div >
< div class = "line" > < a name = "l00006" > < / a > < span class = "lineno" > 6< / span >   < span class = "comment" > * LICENSE file in the root directory of this source tree.< / span > < / div >
< div class = "line" > < a name = "l00007" > < / a > < span class = "lineno" > 7< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00008" > < / a > < span class = "lineno" > 8< / span >   < / div >
< div class = "line" > < a name = "l00009" > < / a > < span class = "lineno" > 9< / span >   < span class = "comment" > // Copyright 2004-present Facebook. All Rights Reserved.< / span > < / div >
< div class = "line" > < a name = "l00010" > < / a > < span class = "lineno" > 10< / span >   < / div >
< div class = "line" > < a name = "l00011" > < / a > < span class = "lineno" > 11< / span >   < span class = "preprocessor" > #pragma once< / span > < / div >
< div class = "line" > < a name = "l00012" > < / a > < span class = "lineno" > 12< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00013" > < / a > < span class = "lineno" > 13< / span >   < span class = "preprocessor" > #include " GpuResources.h" < / span > < / div >
< div class = "line" > < a name = "l00014" > < / a > < span class = "lineno" > 14< / span >   < span class = "preprocessor" > #include " utils/StackDeviceMemory.h" < / span > < / div >
< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < span class = "preprocessor" > #include " utils/DeviceUtils.h" < / span > < / div >
< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   < span class = "preprocessor" > #include < unordered_map> < / span > < / div >
< div class = "line" > < a name = "l00017" > < / a > < span class = "lineno" > 17< / span >   < span class = "preprocessor" > #include < vector> < / span > < / div >
< div class = "line" > < a name = "l00018" > < / a > < span class = "lineno" > 18< / span >   < / div >
< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   < span class = "keyword" > namespace < / span > faiss { < span class = "keyword" > namespace < / span > gpu {< / div >
< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   < span class = "comment" > /// Default implementation of GpuResources that allocates a cuBLAS< / span > < / div >
< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > 22< / span >   < span class = "comment" > /// stream and 2 streams for use, as well as temporary memory< / span > < / div >
< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1StandardGpuResources.html" > 23< / a > < / span >   < span class = "comment" > < / span > < span class = "keyword" > class < / span > < a class = "code" href = "classfaiss_1_1gpu_1_1StandardGpuResources.html" > StandardGpuResources< / a > : < span class = "keyword" > public< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1GpuResources.html" > GpuResources< / a > {< / div >
< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   < span class = "keyword" > public< / span > :< / div >
< div class = "line" > < a name = "l00025" > < / a > < span class = "lineno" > 25< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1StandardGpuResources.html" > StandardGpuResources< / a > ();< / div >
< div class = "line" > < a name = "l00026" > < / a > < span class = "lineno" > 26< / span >   < / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   ~< a class = "code" href = "classfaiss_1_1gpu_1_1StandardGpuResources.html" > StandardGpuResources< / a > () < span class = "keyword" > override< / span > ;< / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > 28< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   < span class = "comment" > /// Disable allocation of temporary memory; all temporary memory< / span > < / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   < span class = "comment" > /// requests will call cudaMalloc / cudaFree at the point of use< / span > < / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#a6431477a7328ac147797b3b4e3fcf651" > noTempMemory< / a > ();< / div >
< div class = "line" > < a name = "l00032" > < / a > < span class = "lineno" > 32< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00033" > < / a > < span class = "lineno" > 33< / span >   < span class = "comment" > /// Specify that we wish to use a certain fixed size of memory on< / span > < / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   < span class = "comment" > /// all devices as temporary memory< / span > < / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6" > setTempMemory< / a > (< span class = "keywordtype" > size_t< / span > size);< / div >
< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > 36< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00037" > < / a > < span class = "lineno" > 37< / span >   < span class = "comment" > /// Specify that we wish to use a certain fraction of memory on< / span > < / div >
< div class = "line" > < a name = "l00038" > < / a > < span class = "lineno" > 38< / span >   < span class = "comment" > /// all devices as temporary memory< / span > < / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#a99ee4e66cb497873de804b9bd9042705" > setTempMemoryFraction< / a > (< span class = "keywordtype" > float< / span > fraction);< / div >
< div class = "line" > < a name = "l00040" > < / a > < span class = "lineno" > 40< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00041" > < / a > < span class = "lineno" > 41< / span >   < span class = "comment" > /// Set amount of pinned memory to allocate, for async GPU < -> CPU< / span > < / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > 42< / span >   < span class = "comment" > /// transfers< / span > < / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#af9acb23ac323f85fa5dab4ed968ccd51" > setPinnedMemory< / a > (< span class = "keywordtype" > size_t< / span > size);< / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > 44< / span >   < / div >
< div class = "line" > < a name = "l00045" > < / a > < span class = "lineno" > 45< / span >   < span class = "keyword" > public< / span > :< span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   < span class = "comment" > /// Internal system calls< / span > < / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056" > initializeForDevice< / a > (< span class = "keywordtype" > int< / span > device) < span class = "keyword" > override< / span > ;< / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   < / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > 49< / span >   cublasHandle_t getBlasHandle(< span class = "keywordtype" > int< / span > device) < span class = "keyword" > override< / span > ;< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   < / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   cudaStream_t getDefaultStream(< span class = "keywordtype" > int< / span > device) < span class = "keyword" > override< / span > ;< / div >
< div class = "line" > < a name = "l00052" > < / a > < span class = "lineno" > 52< / span >   < / div >
< div class = "line" > < a name = "l00053" > < / a > < span class = "lineno" > 53< / span >   std::vector< cudaStream_t> getAlternateStreams(< span class = "keywordtype" > int< / span > device) < span class = "keyword" > override< / span > ;< / div >
< div class = "line" > < a name = "l00054" > < / a > < span class = "lineno" > 54< / span >   < / div >
< div class = "line" > < a name = "l00055" > < / a > < span class = "lineno" > 55< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceMemory.html" > DeviceMemory< / a > & getMemoryManager(< span class = "keywordtype" > int< / span > device) < span class = "keyword" > override< / span > ;< / div >
< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > 56< / span >   < / div >
< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   std::pair< void*, size_t> getPinnedMemory() < span class = "keyword" > override< / span > ;< / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   < / div >
< div class = "line" > < a name = "l00059" > < / a > < span class = "lineno" > 59< / span >   cudaStream_t getAsyncCopyStream(< span class = "keywordtype" > int< / span > device) < span class = "keyword" > override< / span > ;< / div >
< div class = "line" > < a name = "l00060" > < / a > < span class = "lineno" > 60< / span >   < / div >
< div class = "line" > < a name = "l00061" > < / a > < span class = "lineno" > 61< / span >   < span class = "keyword" > private< / span > :< span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00062" > < / a > < span class = "lineno" > 62< / span >   < span class = "comment" > /// Our default stream that work is ordered on, one per each device< / span > < / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   < span class = "comment" > < / span > std::unordered_map< int, cudaStream_t> defaultStreams_;< / div >
< div class = "line" > < a name = "l00064" > < / a > < span class = "lineno" > 64< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00065" > < / a > < span class = "lineno" > 65< / span >   < span class = "comment" > /// Other streams we can use, per each device< / span > < / div >
< div class = "line" > < a name = "l00066" > < / a > < span class = "lineno" > 66< / span >   < span class = "comment" > < / span > std::unordered_map< int, std::vector< cudaStream_t> > alternateStreams_;< / div >
< div class = "line" > < a name = "l00067" > < / a > < span class = "lineno" > 67< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00068" > < / a > < span class = "lineno" > 68< / span >   < span class = "comment" > /// Async copy stream to use for GPU < -> CPU pinned memory copies< / span > < / div >
< div class = "line" > < a name = "l00069" > < / a > < span class = "lineno" > 69< / span >   < span class = "comment" > < / span > std::unordered_map< int, cudaStream_t> asyncCopyStreams_;< / div >
< div class = "line" > < a name = "l00070" > < / a > < span class = "lineno" > 70< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > 71< / span >   < span class = "comment" > /// cuBLAS handle for each device< / span > < / div >
< div class = "line" > < a name = "l00072" > < / a > < span class = "lineno" > 72< / span >   < span class = "comment" > < / span > std::unordered_map< int, cublasHandle_t> blasHandles_;< / div >
< div class = "line" > < a name = "l00073" > < / a > < span class = "lineno" > 73< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   < span class = "comment" > /// Temporary memory provider, per each device< / span > < / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   < span class = "comment" > < / span > std::unordered_map< int, std::unique_ptr< StackDeviceMemory> > memory_;< / div >
< div class = "line" > < a name = "l00076" > < / a > < span class = "lineno" > 76< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00077" > < / a > < span class = "lineno" > 77< / span >   < span class = "comment" > /// Pinned memory allocation for use with this GPU< / span > < / div >
< div class = "line" > < a name = "l00078" > < / a > < span class = "lineno" > 78< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > * pinnedMemAlloc_;< / div >
< div class = "line" > < a name = "l00079" > < / a > < span class = "lineno" > 79< / span >   < span class = "keywordtype" > size_t< / span > pinnedMemAllocSize_;< / div >
< div class = "line" > < a name = "l00080" > < / a > < span class = "lineno" > 80< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00081" > < / a > < span class = "lineno" > 81< / span >   < span class = "comment" > /// By default, we reserve this fraction of memory on all devices< / span > < / div >
< div class = "line" > < a name = "l00082" > < / a > < span class = "lineno" > 82< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > float< / span > tempMemFraction_;< / div >
< div class = "line" > < a name = "l00083" > < / a > < span class = "lineno" > 83< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00084" > < / a > < span class = "lineno" > 84< / span >   < span class = "comment" > /// Another option is to use a specified amount of memory on all< / span > < / div >
< div class = "line" > < a name = "l00085" > < / a > < span class = "lineno" > 85< / span >   < span class = "comment" > /// devices< / span > < / div >
< div class = "line" > < a name = "l00086" > < / a > < span class = "lineno" > 86< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > size_t< / span > tempMemSize_;< / div >
< div class = "line" > < a name = "l00087" > < / a > < span class = "lineno" > 87< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00088" > < / a > < span class = "lineno" > 88< / span >   < span class = "comment" > /// Whether we look at tempMemFraction_ or tempMemSize_< / span > < / div >
< div class = "line" > < a name = "l00089" > < / a > < span class = "lineno" > 89< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > bool< / span > useFraction_;< / div >
< div class = "line" > < a name = "l00090" > < / a > < span class = "lineno" > 90< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00091" > < / a > < span class = "lineno" > 91< / span >   < span class = "comment" > /// Amount of pinned memory we should allocate< / span > < / div >
< div class = "line" > < a name = "l00092" > < / a > < span class = "lineno" > 92< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > size_t< / span > pinnedMemSize_;< / div >
< div class = "line" > < a name = "l00093" > < / a > < span class = "lineno" > 93< / span >   };< / div >
< div class = "line" > < a name = "l00094" > < / a > < span class = "lineno" > 94< / span >   < / div >
< div class = "line" > < a name = "l00095" > < / a > < span class = "lineno" > 95< / span >   } } < span class = "comment" > // namespace< / span > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1StandardGpuResources_html_a99ee4e66cb497873de804b9bd9042705" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#a99ee4e66cb497873de804b9bd9042705" > faiss::gpu::StandardGpuResources::setTempMemoryFraction< / a > < / div > < div class = "ttdeci" > void setTempMemoryFraction(float fraction)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "StandardGpuResources_8cpp_source.html#l00082" > StandardGpuResources.cpp:82< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1StandardGpuResources_html_a6431477a7328ac147797b3b4e3fcf651" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#a6431477a7328ac147797b3b4e3fcf651" > faiss::gpu::StandardGpuResources::noTempMemory< / a > < / div > < div class = "ttdeci" > void noTempMemory()< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "StandardGpuResources_8cpp_source.html#l00071" > StandardGpuResources.cpp:71< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1StandardGpuResources_html_adb2729678638ed89f7b8b38470f96056" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056" > faiss::gpu::StandardGpuResources::initializeForDevice< / a > < / div > < div class = "ttdeci" > void initializeForDevice(int device) override< / div > < div class = "ttdoc" > Internal system calls. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "StandardGpuResources_8cpp_source.html#l00098" > StandardGpuResources.cpp:98< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1GpuResources_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1GpuResources.html" > faiss::gpu::GpuResources< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "GpuResources_8h_source.html#l00023" > GpuResources.h:23< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1StandardGpuResources_html_a367102e65b16bfdc7a32770a4f5854a6" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6" > faiss::gpu::StandardGpuResources::setTempMemory< / a > < / div > < div class = "ttdeci" > void setTempMemory(size_t size)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "StandardGpuResources_8cpp_source.html#l00076" > StandardGpuResources.cpp:76< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1StandardGpuResources_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1StandardGpuResources.html" > faiss::gpu::StandardGpuResources< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "StandardGpuResources_8h_source.html#l00023" > StandardGpuResources.h:23< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1StandardGpuResources_html_af9acb23ac323f85fa5dab4ed968ccd51" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1StandardGpuResources.html#af9acb23ac323f85fa5dab4ed968ccd51" > faiss::gpu::StandardGpuResources::setPinnedMemory< / a > < / div > < div class = "ttdeci" > void setPinnedMemory(size_t size)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "StandardGpuResources_8cpp_source.html#l00089" > StandardGpuResources.cpp:89< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1DeviceMemory_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1DeviceMemory.html" > faiss::gpu::DeviceMemory< / a > < / div > < div class = "ttdoc" > Manages temporary memory allocations on a GPU device. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "DeviceMemory_8h_source.html#l00046" > DeviceMemory.h:46< / a > < / div > < / div >
2017-02-22 23:26:44 +01:00
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