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< title > Faiss: /tmp/faiss/gpu/utils/Float16.cuh Source File< / title >
2017-02-23 06:26:44 +08:00
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< li class = "navelem" > < a class = "el" href = "dir_af0e5773a0d3761542ab6067d117c294.html" > gpu< / a > < / li > < li class = "navelem" > < a class = "el" href = "dir_4b23abee0b4e5d71a28bc7475a9e97e1.html" > utils< / a > < / li > < / ul >
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< div class = "title" > Float16.cuh< / div > < / div >
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2017-06-21 21:54:28 +08:00
< 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 >
2017-07-30 15:18:45 +08:00
< div class = "line" > < a name = "l00005" > < / a > < span class = "lineno" > 5< / span >   < span class = "comment" > * This source code is licensed under the BSD+Patents license found in the< / span > < / div >
2017-06-21 21:54:28 +08:00
< 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 >
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< div class = "line" > < a name = "l00009" > < / a > < span class = "lineno" > 9< / span >   < / div >
< div class = "line" > < a name = "l00010" > < / a > < span class = "lineno" > 10< / span >   < span class = "preprocessor" > #pragma once< / span > < / div >
< div class = "line" > < a name = "l00011" > < / a > < span class = "lineno" > 11< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00012" > < / a > < span class = "lineno" > 12< / span >   < span class = "preprocessor" > #include < cuda.h> < / 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 " DeviceTensor.cuh" < / span > < / div >
< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < / div >
< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   < span class = "comment" > // For float16, We use the half datatype, expecting it to be a struct< / span > < / div >
< div class = "line" > < a name = "l00017" > < / a > < span class = "lineno" > 17< / span >   < span class = "comment" > // as in CUDA 7.5.< / span > < / div >
< div class = "line" > < a name = "l00018" > < / a > < span class = "lineno" > 18< / span >   < span class = "preprocessor" > #if CUDA_VERSION > = 7050< / span > < / div >
< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   < span class = "preprocessor" > < / span > < span class = "preprocessor" > #define FAISS_USE_FLOAT16 1< / span > < / div >
< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   < span class = "comment" > // Some compute capabilities have full float16 ALUs.< / span > < / div >
< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > 22< / span >   < span class = "preprocessor" > #if __CUDA_ARCH__ > = 530< / span > < / div >
< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > 23< / span >   < span class = "preprocessor" > < / span > < span class = "preprocessor" > #define FAISS_USE_FULL_FLOAT16 1< / span > < / div >
< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   < span class = "preprocessor" > < / span > < span class = "preprocessor" > #endif // __CUDA_ARCH__ types< / span > < / div >
< div class = "line" > < a name = "l00025" > < / a > < span class = "lineno" > 25< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00026" > < / a > < span class = "lineno" > 26< / span >   < span class = "preprocessor" > #endif // CUDA_VERSION< / span > < / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > 28< / span >   < span class = "preprocessor" > #ifdef FAISS_USE_FLOAT16< / span > < / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   < span class = "preprocessor" > < / span > < span class = "preprocessor" > #include < cuda_fp16.h> < / span > < / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00032" > < / a > < span class = "lineno" > 32< / span >   < span class = "keyword" > namespace < / span > faiss { < span class = "keyword" > namespace < / span > gpu {< / div >
< div class = "line" > < a name = "l00033" > < / a > < span class = "lineno" > 33< / span >   < / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   < span class = "preprocessor" > #ifdef FAISS_USE_FLOAT16< / span > < / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > 36< / span >   < span class = "comment" > // 64 bytes containing 4 half (float16) values< / span > < / div >
< div class = "line" > < a name = "l00037" > < / a > < span class = "lineno" > 37< / span >   < span class = "keyword" > struct < / span > Half4 {< / div >
< div class = "line" > < a name = "l00038" > < / a > < span class = "lineno" > 38< / span >   half2 a;< / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / span >   half2 b;< / div >
< div class = "line" > < a name = "l00040" > < / a > < span class = "lineno" > 40< / span >   };< / div >
< div class = "line" > < a name = "l00041" > < / a > < span class = "lineno" > 41< / span >   < / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > 42< / span >   < span class = "keyword" > inline< / span > __device__ float4 half4ToFloat4(Half4 v) {< / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   float2 a = __half22float2(v.a);< / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > 44< / span >   float2 b = __half22float2(v.b);< / div >
< div class = "line" > < a name = "l00045" > < / a > < span class = "lineno" > 45< / span >   < / div >
< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   float4 out;< / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   out.x = a.x;< / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   out.y = a.y;< / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > 49< / span >   out.z = b.x;< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   out.w = b.y;< / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   < / div >
< div class = "line" > < a name = "l00052" > < / a > < span class = "lineno" > 52< / span >   < span class = "keywordflow" > return< / span > out;< / div >
< div class = "line" > < a name = "l00053" > < / a > < span class = "lineno" > 53< / 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 >   < span class = "keyword" > inline< / span > __device__ Half4 float4ToHalf4(float4 v) {< / div >
< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > 56< / span >   float2 a;< / div >
< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   a.x = v.x;< / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   a.y = v.y;< / div >
< div class = "line" > < a name = "l00059" > < / a > < span class = "lineno" > 59< / span >   < / div >
< div class = "line" > < a name = "l00060" > < / a > < span class = "lineno" > 60< / span >   float2 b;< / div >
< div class = "line" > < a name = "l00061" > < / a > < span class = "lineno" > 61< / span >   b.x = v.z;< / div >
< div class = "line" > < a name = "l00062" > < / a > < span class = "lineno" > 62< / span >   b.y = v.w;< / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   < / div >
< div class = "line" > < a name = "l00064" > < / a > < span class = "lineno" > 64< / span >   Half4 out;< / div >
< div class = "line" > < a name = "l00065" > < / a > < span class = "lineno" > 65< / span >   out.a = __float22half2_rn(a);< / div >
< div class = "line" > < a name = "l00066" > < / a > < span class = "lineno" > 66< / span >   out.b = __float22half2_rn(b);< / div >
< div class = "line" > < a name = "l00067" > < / a > < span class = "lineno" > 67< / span >   < / div >
< div class = "line" > < a name = "l00068" > < / a > < span class = "lineno" > 68< / span >   < span class = "keywordflow" > return< / span > out;< / div >
< div class = "line" > < a name = "l00069" > < / a > < span class = "lineno" > 69< / span >   }< / div >
< div class = "line" > < a name = "l00070" > < / a > < span class = "lineno" > 70< / span >   < / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > 71< / span >   < span class = "comment" > // 128 bytes containing 8 half (float16) values< / span > < / div >
< div class = "line" > < a name = "l00072" > < / a > < span class = "lineno" > 72< / span >   < span class = "keyword" > struct < / span > Half8 {< / div >
< div class = "line" > < a name = "l00073" > < / a > < span class = "lineno" > 73< / span >   Half4 a;< / div >
< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   Half4 b;< / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   };< / 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" > /// Returns true if the given device supports native float16 math< / span > < / div >
< div class = "line" > < a name = "l00078" > < / a > < span class = "lineno" > 78< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > bool< / span > getDeviceSupportsFloat16Math(< span class = "keywordtype" > int< / span > device);< / div >
< div class = "line" > < a name = "l00079" > < / a > < span class = "lineno" > 79< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00080" > < / a > < span class = "lineno" > 80< / span >   < span class = "comment" > /// Copies `in` to `out` while performing a float32 -> float16 conversion< / span > < / div >
< div class = "line" > < a name = "l00081" > < / a > < span class = "lineno" > 81< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > runConvertToFloat16(half* out,< / div >
< div class = "line" > < a name = "l00082" > < / a > < span class = "lineno" > 82< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * in,< / div >
< div class = "line" > < a name = "l00083" > < / a > < span class = "lineno" > 83< / span >   < span class = "keywordtype" > size_t< / span > num,< / div >
< div class = "line" > < a name = "l00084" > < / a > < span class = "lineno" > 84< / span >   cudaStream_t stream);< / div >
< div class = "line" > < a name = "l00085" > < / a > < span class = "lineno" > 85< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00086" > < / a > < span class = "lineno" > 86< / span >   < span class = "comment" > /// Copies `in` to `out` while performing a float16 -> float32< / span > < / div >
< div class = "line" > < a name = "l00087" > < / a > < span class = "lineno" > 87< / span >   < span class = "comment" > /// conversion< / span > < / div >
< div class = "line" > < a name = "l00088" > < / a > < span class = "lineno" > 88< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > runConvertToFloat32(< span class = "keywordtype" > float< / span > * out,< / div >
< div class = "line" > < a name = "l00089" > < / a > < span class = "lineno" > 89< / span >   < span class = "keyword" > const< / span > half* in,< / div >
< div class = "line" > < a name = "l00090" > < / a > < span class = "lineno" > 90< / span >   < span class = "keywordtype" > size_t< / span > num,< / div >
< div class = "line" > < a name = "l00091" > < / a > < span class = "lineno" > 91< / span >   cudaStream_t stream);< / div >
< div class = "line" > < a name = "l00092" > < / a > < span class = "lineno" > 92< / span >   < / div >
< div class = "line" > < a name = "l00093" > < / a > < span class = "lineno" > 93< / span >   < span class = "keyword" > template< / span > < < span class = "keywordtype" > int< / span > Dim> < / div >
< div class = "line" > < a name = "l00094" > < / a > < span class = "lineno" > 94< / span >   < span class = "keywordtype" > void< / span > toHalf(cudaStream_t stream,< / div >
< div class = "line" > < a name = "l00095" > < / a > < span class = "lineno" > 95< / span >   Tensor< float, Dim, true> & in,< / div >
< div class = "line" > < a name = "l00096" > < / a > < span class = "lineno" > 96< / span >   Tensor< half, Dim, true> & out) {< / div >
< div class = "line" > < a name = "l00097" > < / a > < span class = "lineno" > 97< / span >   FAISS_ASSERT(in.numElements() == out.numElements());< / div >
< div class = "line" > < a name = "l00098" > < / a > < span class = "lineno" > 98< / span >   < / div >
< div class = "line" > < a name = "l00099" > < / a > < span class = "lineno" > 99< / span >   < span class = "comment" > // The memory is contiguous (the `true`), so apply a pointwise< / span > < / div >
< div class = "line" > < a name = "l00100" > < / a > < span class = "lineno" > 100< / span >   < span class = "comment" > // kernel to convert< / span > < / div >
< div class = "line" > < a name = "l00101" > < / a > < span class = "lineno" > 101< / span >   runConvertToFloat16(out.data(), in.data(), in.numElements(), stream);< / div >
< div class = "line" > < a name = "l00102" > < / a > < span class = "lineno" > 102< / span >   }< / div >
< div class = "line" > < a name = "l00103" > < / a > < span class = "lineno" > 103< / span >   < / div >
< div class = "line" > < a name = "l00104" > < / a > < span class = "lineno" > 104< / span >   < span class = "keyword" > template< / span > < < span class = "keywordtype" > int< / span > Dim> < / div >
< div class = "line" > < a name = "l00105" > < / a > < span class = "lineno" > 105< / span >   DeviceTensor< half, Dim, true> toHalf(GpuResources* resources,< / div >
< div class = "line" > < a name = "l00106" > < / a > < span class = "lineno" > 106< / span >   cudaStream_t stream,< / div >
< div class = "line" > < a name = "l00107" > < / a > < span class = "lineno" > 107< / span >   Tensor< float, Dim, true> & in) {< / div >
< div class = "line" > < a name = "l00108" > < / a > < span class = "lineno" > 108< / span >   DeviceTensor< half, Dim, true> out;< / div >
< div class = "line" > < a name = "l00109" > < / a > < span class = "lineno" > 109< / span >   < span class = "keywordflow" > if< / span > (resources) {< / div >
< div class = "line" > < a name = "l00110" > < / a > < span class = "lineno" > 110< / span >   out = std::move(DeviceTensor< half, Dim, true> (< / div >
< div class = "line" > < a name = "l00111" > < / a > < span class = "lineno" > 111< / span >   resources-> getMemoryManagerCurrentDevice(),< / div >
< div class = "line" > < a name = "l00112" > < / a > < span class = "lineno" > 112< / span >   in.sizes(),< / div >
< div class = "line" > < a name = "l00113" > < / a > < span class = "lineno" > 113< / span >   stream));< / div >
< div class = "line" > < a name = "l00114" > < / a > < span class = "lineno" > 114< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00115" > < / a > < span class = "lineno" > 115< / span >   out = std::move(DeviceTensor< half, Dim, true> (in.sizes()));< / div >
< div class = "line" > < a name = "l00116" > < / a > < span class = "lineno" > 116< / span >   }< / div >
< div class = "line" > < a name = "l00117" > < / a > < span class = "lineno" > 117< / span >   < / div >
< div class = "line" > < a name = "l00118" > < / a > < span class = "lineno" > 118< / span >   toHalf< Dim> (stream, in, out);< / div >
< div class = "line" > < a name = "l00119" > < / a > < span class = "lineno" > 119< / span >   < span class = "keywordflow" > return< / span > out;< / div >
< div class = "line" > < a name = "l00120" > < / a > < span class = "lineno" > 120< / span >   }< / div >
< div class = "line" > < a name = "l00121" > < / a > < span class = "lineno" > 121< / span >   < / div >
< div class = "line" > < a name = "l00122" > < / a > < span class = "lineno" > 122< / span >   < span class = "keyword" > template< / span > < < span class = "keywordtype" > int< / span > Dim> < / div >
< div class = "line" > < a name = "l00123" > < / a > < span class = "lineno" > 123< / span >   < span class = "keywordtype" > void< / span > fromHalf(cudaStream_t stream,< / div >
< div class = "line" > < a name = "l00124" > < / a > < span class = "lineno" > 124< / span >   Tensor< half, Dim, true> & in,< / div >
< div class = "line" > < a name = "l00125" > < / a > < span class = "lineno" > 125< / span >   Tensor< float, Dim, true> & out) {< / div >
< div class = "line" > < a name = "l00126" > < / a > < span class = "lineno" > 126< / span >   FAISS_ASSERT(in.numElements() == out.numElements());< / div >
< div class = "line" > < a name = "l00127" > < / a > < span class = "lineno" > 127< / span >   < / div >
< div class = "line" > < a name = "l00128" > < / a > < span class = "lineno" > 128< / span >   < span class = "comment" > // The memory is contiguous (the `true`), so apply a pointwise< / span > < / div >
< div class = "line" > < a name = "l00129" > < / a > < span class = "lineno" > 129< / span >   < span class = "comment" > // kernel to convert< / span > < / div >
< div class = "line" > < a name = "l00130" > < / a > < span class = "lineno" > 130< / span >   runConvertToFloat32(out.data(), in.data(), in.numElements(), stream);< / div >
< div class = "line" > < a name = "l00131" > < / a > < span class = "lineno" > 131< / span >   }< / div >
< div class = "line" > < a name = "l00132" > < / a > < span class = "lineno" > 132< / span >   < / div >
< div class = "line" > < a name = "l00133" > < / a > < span class = "lineno" > 133< / span >   < span class = "keyword" > template< / span > < < span class = "keywordtype" > int< / span > Dim> < / div >
< div class = "line" > < a name = "l00134" > < / a > < span class = "lineno" > 134< / span >   DeviceTensor< float, Dim, true> fromHalf(GpuResources* resources,< / div >
< div class = "line" > < a name = "l00135" > < / a > < span class = "lineno" > 135< / span >   cudaStream_t stream,< / div >
< div class = "line" > < a name = "l00136" > < / a > < span class = "lineno" > 136< / span >   Tensor< half, Dim, true> & in) {< / div >
< div class = "line" > < a name = "l00137" > < / a > < span class = "lineno" > 137< / span >   DeviceTensor< float, Dim, true> out;< / div >
< div class = "line" > < a name = "l00138" > < / a > < span class = "lineno" > 138< / span >   < span class = "keywordflow" > if< / span > (resources) {< / div >
< div class = "line" > < a name = "l00139" > < / a > < span class = "lineno" > 139< / span >   out = std::move(DeviceTensor< float, Dim, true> (< / div >
< div class = "line" > < a name = "l00140" > < / a > < span class = "lineno" > 140< / span >   resources-> getMemoryManagerCurrentDevice(),< / div >
< div class = "line" > < a name = "l00141" > < / a > < span class = "lineno" > 141< / span >   in.sizes(),< / div >
< div class = "line" > < a name = "l00142" > < / a > < span class = "lineno" > 142< / span >   stream));< / div >
< div class = "line" > < a name = "l00143" > < / a > < span class = "lineno" > 143< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00144" > < / a > < span class = "lineno" > 144< / span >   out = std::move(DeviceTensor< float, Dim, true> (in.sizes()));< / div >
< div class = "line" > < a name = "l00145" > < / a > < span class = "lineno" > 145< / span >   }< / div >
< div class = "line" > < a name = "l00146" > < / a > < span class = "lineno" > 146< / span >   < / div >
< div class = "line" > < a name = "l00147" > < / a > < span class = "lineno" > 147< / span >   fromHalf< Dim> (stream, in, out);< / div >
< div class = "line" > < a name = "l00148" > < / a > < span class = "lineno" > 148< / span >   < span class = "keywordflow" > return< / span > out;< / div >
< div class = "line" > < a name = "l00149" > < / a > < span class = "lineno" > 149< / span >   }< / div >
< div class = "line" > < a name = "l00150" > < / a > < span class = "lineno" > 150< / span >   < / div >
< div class = "line" > < a name = "l00151" > < / a > < span class = "lineno" > 151< / span >   __half hostFloat2Half(< span class = "keywordtype" > float< / span > v);< / div >
< div class = "line" > < a name = "l00152" > < / a > < span class = "lineno" > 152< / span >   < / div >
< div class = "line" > < a name = "l00153" > < / a > < span class = "lineno" > 153< / span >   < span class = "preprocessor" > #endif // FAISS_USE_FLOAT16< / span > < / div >
< div class = "line" > < a name = "l00154" > < / a > < span class = "lineno" > 154< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00155" > < / a > < span class = "lineno" > 155< / span >   } } < span class = "comment" > // namespace< / span > < / div >
2017-02-23 06:26:44 +08:00
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