{"id":51989,"date":"2018-05-10T09:25:59","date_gmt":"2018-05-10T00:25:59","guid":{"rendered":"https:\/\/www.sejuku.net\/blog\/?p=51989"},"modified":"2024-05-06T11:47:14","modified_gmt":"2024-05-06T02:47:14","slug":"opencl%e3%82%92%e5%88%a9%e7%94%a8%e3%81%97%e3%81%a6tensorflow%e3%81%ae%e8%a8%88%e7%ae%97%e3%81%af%e9%80%9f%e3%81%8f%e3%81%aa%e3%82%8b%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/www.sejuku.net\/blog\/51989","title":{"rendered":"\u3010TensorFlow\u3011OpenCL\u3092\u5229\u7528\u3057\u3066\u8a08\u7b97\u306f\u901f\u304f\u306a\u308b\uff1f"},"content":{"rendered":"

OpenCL\u3092\u4f7f\u3063\u3066TensorFlow\u306e\u8a08\u7b97\u3092\u901f\u304f\u3067\u304d\u308b\u304b\u306a\uff1f<\/strong><\/span>\u3068\u601d\u3063\u3066\u3044\u308b\u65b9\u306b\u5411\u3051\u305f\u8a18\u4e8b\u3092\u4f5c\u6210\u3057\u3088\u3046\u3068\u3001\u3044\u308d\u3044\u308d\u8abf\u3079\u3066\u307f\u307e\u3057\u305f\u3002<\/p>\n

\u305f\u304f\u3055\u3093\u8abf\u3079\u305f\u7d50\u8ad6\u306f\u3001\u8a66\u3057\u3066\u307f\u306a\u3044\u3068\u5206\u304b\u3089\u306a\u3044\uff01<\/strong><\/span>\u3067\u3057\u305f\u3002<\/p>\n

\u305d\u3053\u3067\u3001\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001OpenCL\u3068\u306f\uff1f\u3068\u3044\u3046\u3068\u3053\u308d\u304b\u3089\u59cb\u3081\u3066\u3001\u3069\u306e\u3088\u3046\u306b\u8a66\u3057\u3066\u307f\u308b\u304b\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n

TensorFlow\u3068\u306f<\/h2>\n

TensorFlow<\/strong><\/span>\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3084\u6df1\u5c64\u5b66\u7fd2\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u88c5\u3059\u308b\u969b\u306b\u4f7f\u7528\u3067\u304d\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\n

TensorFlow\u3068\u306f\u4f55\u304b\uff1f<\/strong><\/span>\u306b\u3064\u3044\u3066\u306f\u3001\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3067\u8aac\u660e\u3057\u3066\u3044\u307e\u3059\u306e\u3067\u3001\u3088\u304f\u5206\u304b\u3089\u306a\u3044\u65b9\u306f\u78ba\u8a8d\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u306d\u3002<\/p>\n \n

\n
\n
\n \n <\/div>\n
\n
TensorFlow\u3068\u306f\uff1f\u6a5f\u68b0\u5b66\u7fd2\u306b\u5fc5\u9808\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u7d39\u4ecb<\/div>\n
\u66f4\u65b0\u65e5\uff1a2025\u5e7412\u670826\u65e5<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/a>\n \n

OpenCL\u3068\u306f<\/h2>\n

OpenCL<\/strong><\/span>\u306f\u3001CPU\u306a\u3069<\/strong><\/span>\u3092\u5229\u7528\u3057\u3066\u4e26\u5217\u8a08\u7b97\u3092\u884c\u3046\u305f\u3081\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3059\u3002<\/p>\n

Mac\u3092\u8ca9\u58f2\u3057\u3066\u3044\u308b\u30a2\u30c3\u30d7\u30eb<\/strong><\/span>\u304c\u63d0\u6848\u3057\u3001\u6a19\u6e96\u5316\u56e3\u4f53\u30af\u30ed\u30ce\u30b9\u30fb\u30b0\u30eb\u30fc\u30d7<\/strong><\/span>\u306b\u3088\u3063\u3066\u7b56\u5b9a\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u4e0a\u3067CPU\u306a\u3069<\/strong><\/span>\u3001\u3068\u66f8\u3044\u305f\u306e\u306f\u3001\u4ed6\u306b\u3082\u8a08\u7b97\u306b\u4f7f\u3048\u308b\u6a5f\u5668\uff08\u4ee5\u964d\u3001\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9<\/strong><\/span>\uff09\u304c\u3042\u308b\u305f\u3081\u3067\u3059\u3002<\/p>\n

OpenCL\u3067\u8a08\u7b97\u306b\u4f7f\u3048\u308b\u4e3b\u306a\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9\u3092\u6319\u3052\u3066\u307f\u307e\u3059\u3002<\/p>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t
\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9<\/th>\u8aac\u660e<\/th>\n<\/tr>\n<\/thead>\n
CPU<\/td>\u30d1\u30bd\u30b3\u30f3\u3084\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u306b\u642d\u8f09\u3055\u308c\u3066\u3044\u308b\u30d7\u30ed\u30bb\u30c3\u30b5<\/td>\n<\/tr>\n
GPU<\/td>\u30d3\u30c7\u30aa\u30ab\u30fc\u30c9\u306b\u642d\u8f09\u3055\u308c\u3066\u3044\u308b\u30d7\u30ed\u30bb\u30c3\u30b5<\/td>\n<\/tr>\n
APU<\/td>CPU\u3068GPU\u3092\u7d71\u5408\u3057\u305f\u30d7\u30ed\u30bb\u30c3\u30b5<\/td>\n<\/tr>\n
FPGA<\/td>\u88fd\u9020\u5f8c\u306b\u8cfc\u5165\u8005\u3084\u8a2d\u8a08\u8005\u304c\u69cb\u6210\u3092\u8a2d\u5b9a\u3067\u304d\u308b\u96c6\u7a4d\u56de\u8def<\/td>\n<\/tr>\n
DSP<\/td>\u30c7\u30b8\u30bf\u30eb\u4fe1\u53f7\u51e6\u7406\u306b\u7279\u5316\u3057\u305f\u30d7\u30ed\u30bb\u30c3\u30b5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n

\u3044\u307e\u3042\u306a\u305f\u304c\u4f7f\u3063\u3066\u3044\u308b\u6a5f\u5668\u306b\u306f\u3001\u4e0a\u8a18\u306e\u3044\u305a\u308c\u304b1\u3064\u307e\u305f\u306f\u8907\u6570\u306e\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9\u304c\u642d\u8f09\u3055\u308c\u3066\u3044\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

\u3064\u307e\u308a\u3001\u3042\u306a\u305f\u304c\u4f7f\u3063\u3066\u3044\u308b\u6a5f\u5668\u3067\u3082OpenCL\u3092\u5229\u7528\u3067\u304d\u308b\u304b\u3082\u3057\u308c\u306a\u3044<\/strong><\/span>\u306e\u3067\u3059\u3002<\/p>\n

\u305f\u3068\u3048\u3070\u3001Intel\u306eCPU<\/strong><\/span>\u3092OpenCL\u306e\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9\u3068\u3057\u3066\u5229\u7528\u3059\u308b\u305f\u3081\u306b\u306f\u3001Intel\u00ae SDK for OpenCL™ Applications<\/strong><\/span>\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

\u53c2\u8003\uff1ahttps:\/\/software.intel.com\/en-us\/intel-opencl<\/a><\/p>\n

Intel\u306eCPU\u3092\u642d\u8f09\u3057\u305f\u30d1\u30bd\u30b3\u30f3\u306b\u300cIntel\u00ae SDK for OpenCL™ Applications\u300d\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3001OpenCL\u3092\u5229\u7528\u3057\u305f\u4e26\u5217\u8a08\u7b97\u3092\u884c\u3046\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u52d5\u4f5c\u3055\u305b\u308c\u3070\u3001OpenCL\u3092\u5229\u7528\u3057\u305f\u4e26\u5217\u8a08\u7b97\u304c\u884c\u3048\u308b\u3068\u3044\u3046\u4ed5\u7d44\u307f\u3067\u3059\u3002<\/p>\n

\u305d\u3057\u3066\u3001GPU\u3082OpenCL\u306e\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9\u3068\u3057\u3066\u5229\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308c\u3070\u3001CPU\u3082GPU\u3082\u5168\u90e8\u4f7f\u3063\u305f\u4e26\u5217\u8a08\u7b97\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

SYCL\u3068\u306f<\/h2>\n

OpenCL\u3092\u8abf\u3079\u3066\u3044\u308b\u3068\u3001SYCL<\/strong><\/span>\uff08\u30b7\u30af\u30eb\u3001\u30b7\u30c3\u30af\u30eb\uff09\u3068\u3044\u3046\u898f\u683c\u3082\u76ee\u306b\u4ed8\u304f\u3067\u3057\u3087\u3046\u3002<\/p>\n

\u5b9f\u306f\u3001OpenCL\u306e\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9\u3092\u5229\u7528\u3059\u308b\u305f\u3081\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\u8907\u96d1\u306b\u306a\u308a\u304c\u3061\u306a\u306e\u3067\u3059\u304c\u3001\u305d\u308c\u3092\u96a0\u307a\u3044\u3057\u3066\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u66f8\u304d\u3084\u3059\u304f\u3059\u308b\u305f\u3081\u306e\u898f\u683c\u304cSYCL\u3067\u3059\u3002<\/p>\n

\u8a00\u3044\u304b\u3048\u308b\u3068\u3001SYCL\u306b\u6e96\u62e0\u3057\u305f\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u66f8\u3051\u3070\u3001OpenCL\u306e\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9\u3092\u5229\u7528\u3067\u304d\u308b<\/strong><\/span>\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002<\/p>\n

\u4e0a\u3067\u3055\u308a\u3052\u306a\u304f\u66f8\u304d\u307e\u3057\u305f\u304c\u3001SYCL\u306f\u898f\u683c\u3001\u3064\u307e\u308a\u305f\u3060\u306e\u6c7a\u307e\u308a\u3054\u3068\u3067\u3059\u304b\u3089\u3001SYCL\u3092\u4f7f\u3063\u305f\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u3046\u307e\u3044\u3053\u3068\u6271\u3063\u3066\u304f\u308c\u308b\u4f55\u304b\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n

\u305d\u308c\u304c\u3001codeplay<\/strong><\/span>\u304c\u958b\u767a\u3092\u9032\u3081\u3066\u3044\u308bComputeCpp<\/strong><\/span>\u3067\u3059\u3002<\/p>\n

\u53c2\u8003\uff1ahttps:\/\/www.codeplay.com\/products\/computesuite\/computecpp<\/a><\/p>\n

\u3053\u3053\u307e\u3067\u306b\u8aac\u660e\u3057\u305f\u5185\u5bb9\u3092\u3001\u9006\u65b9\u5411\u304b\u3089\u77ed\u304f\u307e\u3068\u3081\u3066\u307f\u308b\u3068\u3001ComputeCpp\uff08codeplay\u88fd\u306eSYCL\u5b9f\u88c5\uff09\u3092\u4f7f\u3046\u3068\u3001CPU\u3084GPU\u306a\u3069\uff08OpenCL\u306e\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9\uff09\u3092\u4f7f\u3063\u3066\u4e26\u5217\u8a08\u7b97\u3092\u884c\u3046\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3067\u304d\u308b<\/strong><\/span>\u3001\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n

TensorFlow\u3067OpenCL\u306e\u6f14\u7b97\u30c7\u30d0\u30a4\u30b9\u306f\u4f7f\u3048\u308b\u306e\u304b<\/h2>\n

\u3053\u3053\u307e\u3067\u3067\u6b8b\u5ff5\u306a\u304c\u3089\u3001OpenCL\u3092\u4f7f\u3063\u3066TensorFlow\u306e\u8a08\u7b97\u3092\u901f\u304f\u3067\u304d\u308b\u304b\u306a\uff1f<\/strong><\/span>\u3068\u3044\u3046\u7591\u554f\u306b\u306f\u307e\u3060\u7b54\u3048\u3089\u308c\u3066\u3044\u307e\u305b\u3093\u3002<\/p>\n

\u3067\u3059\u304c\u3001\u4f55\u3068\u306a\u304f\u3001TensorFlow\u304cOpenCL\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u308c\u3070\u3001CPU\u3084GPU\u306a\u3069\u3092\u4f7f\u3063\u3066\u4e26\u5217\u8a08\u7b97\u304c\u3067\u304d\u3066\u3001\u8a08\u7b97\u304c\u901f\u304f\u306a\u308b\u306e\u3067\u306f\u2026<\/strong><\/span>\u3068\u601d\u3044\u59cb\u3081\u305f\u3067\u3057\u3087\u3046\u3002<\/p>\n

\u3067\u306f\u3001TensorFlow\u306fOpenCL\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u308b\u306e\u3067\u3057\u3087\u3046\u304b\u3002<\/p>\n

\u6b8b\u5ff5\u306a\u304c\u3089\u300cpip install\u300d\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u308bTensorFlow\u306fOpenCL\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u305b\u3093\u3002<\/p>\n

OpenCL\u306e\u7528\u610f\u3092\u3057\u3066\u3082\u3001TensorFlow\u306fOpenCL\u3092\u4f7f\u308f\u306a\u3044\u306e\u3067\u3059\u3002<\/p>\n

\u4e00\u65b9\u3001TensorFlow\u3092\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u304b\u3089\u30d3\u30eb\u30c9\u3059\u308b\u3068\u3001\u9014\u4e2d\u3067\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u554f\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n

Do you wish to build TensorFlow with OpenCL SYCL support? [y\/N]:<\/pre>\n
\u3053\u3053\u3067\u300cy\u300d\u3092\u5165\u529b\u3057\u3066\u9032\u3081\u3070\u3001SYCL\u306b\u5bfe\u5fdc\u3057\u305fTensorFlow\u304c\u3067\u304d\u3042\u304c\u308b\u306f\u305a\u3067\u3059\u3002<\/p>\n
\u3067\u3059\u304c\u3001GitHub\u306eTensorFlow\u306e\u30ea\u30dd\u30b8\u30c8\u30ea\u3067\u306f\u3001OpenCL\u306e\u5bfe\u5fdc\u306b\u95a2\u3059\u308bissue\u3082\u3042\u308a\u3001\u5bfe\u5fdc\u6e08\u307f\u3068\u306f\u8a00\u3048\u306a\u3044<\/strong><\/span>\u3088\u3046\u3067\u3059\u3002<\/p>\n
\u53c2\u8003\uff1ahttps:\/\/github.com\/tensorflow\/tensorflow\/issues\/22<\/a><\/p>\n
\u305d\u306e\u3088\u3046\u306a\u72b6\u6cc1\u3067\u3082\u3001OpenCL\u5bfe\u5fdc\u306eTensorFlow\u3092\u30d3\u30eb\u30c9\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u308b\u65b9\u3082\u3044\u3089\u3063\u3057\u3083\u3044\u307e\u3059\u3002<\/strong><\/span><\/p>\n
\u4ee5\u4e0b\u306eGitHub\u30ea\u30dd\u30b8\u30c8\u30ea\u3067\u306f\u3001Linux CPU<\/strong><\/span>\u3001Linux GPU<\/strong><\/span>\u3001Mac OS CPU<\/strong><\/span>\u3001Windows CPU<\/strong><\/span>\u3001Android<\/strong><\/span>\u3067\u3001OpenCL\u5bfe\u5fdc\u306eTensorFlow\u3092\u30d3\u30eb\u30c9\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u79c1\u304c\u307f\u305f\u3068\u304d\u306b\u306fMac OS CPU\u3060\u3051\u304c\u30d3\u30eb\u30c9\u306b\u6210\u529f\u3057\u3066\u3044\u307e\u3057\u305f\u3002<\/p>\n
\u53c2\u8003\uff1ahttps:\/\/github.com\/benoitsteiner\/tensorflow-opencl<\/a><\/p>\n
\u4ee5\u4e0b\u306eGitHub\u30ea\u30dd\u30b8\u30c8\u30ea\u3067\u3082\u3001OpenCL\u5bfe\u5fdc\u306eTensorFlow\u3092\u30d3\u30eb\u30c9\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u307e\u3059\u3002<\/strong><\/span><\/p>\n
\u3053\u3061\u3089\u306f\u3001Mac\uff08Mac OS Sierra\uff09\uff0bRadeon Pro 450 GPU<\/strong><\/span>\u3068\u3001Linux\uff08Ubuntu 16.04\uff09\uff0bNVIDIA K520<\/strong><\/span>\u306e2\u3064\u306e\u74b0\u5883\u3067\u5b9f\u884c\u3067\u304d\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002<\/p>\n
\u53c2\u8003\uff1ahttps:\/\/github.com\/hughperkins\/tf-coriander<\/a><\/p>\n
\u307e\u3068\u3081<\/h2>\n
TensorFlow\u3001OpenCL\uff08\u3064\u3044\u3067\u306bSYCL\uff09\u3068\u306f\u4f55\u304b\u3092\u8aac\u660e\u3057\u3001OpenCL\u3092\u4f7f\u3063\u3066TensorFlow\u306e\u8a08\u7b97\u3092\u901f\u304f\u3067\u304d\u308b\u53ef\u80fd\u6027\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3057\u305f\u3002<\/p>\n
OpenCL\u3092\u4f7f\u3063\u3066TensorFlow\u306e\u8a08\u7b97\u3092\u901f\u304f\u3067\u304d\u308b\u304b\u3069\u3046\u304b\u306f\u3001\u3084\u3063\u3066\u307f\u306a\u3044\u3068\u308f\u304b\u308a\u307e\u305b\u3093\u3002<\/strong><\/span><\/p>\n
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