{"id":6701,"date":"2020-12-18T10:08:01","date_gmt":"2020-12-18T01:08:01","guid":{"rendered":"https:\/\/www.ecomottblog.com\/?p=6701"},"modified":"2020-12-18T12:04:04","modified_gmt":"2020-12-18T03:04:04","slug":"geforce-rtx-3090%e3%81%a7ai%e3%81%ae%e3%82%af%e3%83%aa%e3%82%b9%e3%83%9e%e3%82%b9","status":"publish","type":"post","link":"https:\/\/www.ecomottblog.com\/?p=6701","title":{"rendered":"Geforce RTX 3090\u3067AI\u306e\u30af\u30ea\u30b9\u30de\u30b9"},"content":{"rendered":"

\u4eca\u5e74\u3082\u6b8b\u308a\u308f\u305a\u304b<\/h2>\n

\u4eca\u5e74\u306f\u4f55\u3068\u3044\u3063\u3066\u3082\u65b0\u578b\u30b3\u30ed\u30ca\u3092\u767a\u7aef\u306b\u3057\u3066\u3001100\u5e74\u306b1\u5ea6\u306e\u6b74\u53f2\u7684\u306a\u5e74\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u611f\u67d3\u9632\u6b62\u306e\u89b3\u70b9\u304b\u3089\u4eba\u3068\u306e\u63a5\u89e6\u3092\u3067\u304d\u308b\u3060\u3051\u907f\u3051\u308b\u3053\u3068\u304c\u63a8\u5968\u3055\u308c\u3001\u4eca\u5c1a\u3001\u793e\u4f1a\u306f\u5927\u6df7\u4e71\u306b\u5dfb\u304d\u8fbc\u307e\u308c\u3066\u3044\u307e\u3059\u3002\u6b74\u53f2\u7684\u306a\u51fa\u6765\u4e8b\u3068\u3057\u3066\u3001\u30ea\u30e2\u30fc\u30c8\u30ef\u30fc\u30af\u3084web\u4f1a\u8b70\u304c\u666e\u53ca\u3057\u305f\u3053\u3068\u3082\u6319\u3052\u3089\u308c\u307e\u3059\u306d\u3002\u79c1\u81ea\u8eab\u30ea\u30e2\u30fc\u30c8\u30ef\u30fc\u30af\u4e2d\u5fc3\u306e\u751f\u6d3b\u30929\u304b\u6708\u4ee5\u4e0a\u7d9a\u3051\u3066\u304a\u308a\u307e\u3059\u3002\u5b66\u4f1a\u3092\u306f\u3058\u3081\u3001\u5404\u7a2e\u30bb\u30df\u30ca\u30fc\u3082zoom\u7b49\u3092\u5229\u7528\u3057\u305f\u30ea\u30e2\u30fc\u30c8\u958b\u50ac\u306b\u5207\u308a\u66ff\u308f\u3063\u305f\u304a\u304b\u3052\u3067\u3001\u79fb\u52d5\u305b\u305a\u306b\u591a\u304f\u306e\u4f1a\u8b70\u306b\u51fa\u5e2d\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u3001\u3044\u3064\u3082\u306e\u5e74\u3088\u308a\u591a\u304f\u306e\u60c5\u5831\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002\u305f\u3060\u3057\u3001\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u304c\u6fc0\u6e1b\u3057\u305f\u3053\u3068\u306b\u3088\u308a\u5f97\u305f\u77e5\u8b58\u306e\u5b9a\u7740\u7387\u3092\u62bc\u3057\u4e0b\u3052\u3066\u3044\u308b\u306e\u3067\u3001\u6210\u9577\u7387\u306f\u5e74\u76f8\u5fdc\u306b\u30de\u30a4\u30ca\u30b9\u6210\u9577\u306a\u3093\u3060\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

<\/p>\n

WSL2\u3067GPU\u304c\u4f7f\u3048\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f<\/h2>\n

\u8a71\u306f\u5909\u308f\u308a\u307e\u3059\u304c\u3001\uff16\u6708\u4e2d\u65ec\u306bWindows 10 Insider Preview Dev Channel \u304b\u3089GPU\u5bfe\u5fdcWSL2\u3092\u5229\u7528\u53ef\u80fd\u306a\u30d3\u30eb\u30c9\u304c\u964d\u3063\u3066\u304d\u307e\u3057\u305f\u3002
\nWSL2\u306f\u4eee\u60f3\u30de\u30b7\u30f3\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3092\u5229\u7528\u3057\u305f\u8a98\u3046\u74b0\u5883\u3067\u3001Ubuntu\u306a\u3069\u306eLinux\u74b0\u5883\u3092Windows\u30de\u30b7\u30f3\u4e0a\u3067\u5229\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002
\nWSL\u81ea\u4f53\u306f\u4ee5\u524d\u304b\u3089\u3042\u3063\u305f\u306e\u3067\u4f7f\u3063\u3066\u3044\u308b\u65b9\u3082\u591a\u3044\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u601d\u3044\u307e\u3059\u304c\u3001GPU\u304c\u5229\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u306e\u3067\u3001Windows\u74b0\u5883\u3067Linux\u7248\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u7c21\u5358\u306b\u52d5\u304b\u3059\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n

\u6b21\u4e16\u4ee3\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u300cAmpere\uff08\u30a2\u30f3\u30da\u30a2\uff09\u300d\u767a\u58f2<\/h2>\n

\"\"
\n\u4eca\u5e745\u6708\u306b\u306f\u30cf\u30a4\u30a8\u30f3\u30c9GPU\u300cNVIDIA A100\u300d\u304c\u767a\u58f2\u306b\u306a\u308a\u3001\u540c\u3058\u304f9\u6708\u306b\u306fGeforce RTX 30\u30b7\u30ea\u30fc\u30ba\u304c\u767a\u58f2\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u6df1\u5c64\u5b66\u7fd2\u3067\u5229\u7528\u3059\u308b\u5834\u5408\u3001\u30af\u30ed\u30c3\u30af\u3001\u30b3\u30a2\u6570\u3001\u30e1\u30e2\u30ea\u304c\u91cd\u8981\u306a\u8981\u7d20\u306b\u3042\u308a\u307e\u3059\u304c\u3001Geforce RTX 3090\u306f\u3001CUDA\u30b3\u30a2\u304c10496\u3082\u3042\u308a\u3001\u4eca\u3067\u306e\u30cf\u30a4\u30a8\u30f3\u30c9GPU\u306e\u500d\u4ee5\u4e0a\u30b3\u30a2\u6570\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u307e\u305f\u30e1\u30e2\u30ea\u308224GB\u3068\u4eca\u307e\u3067\u306e11GB\u3068\u6bd4\u30792\u500d\u4ee5\u4e0a\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002\uff08\u30e1\u30e2\u30ea\u306f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u30ce\u30fc\u30c9\u6570\u30fb\u6df1\u3055\u30fb\u30d0\u30c3\u30c1\u30b5\u30a4\u30ba\u306b\u5f71\u97ff\u3057\u307e\u3059\u3002\uff09\u3055\u305e\u304b\u3057\u901f\u3044\u306e\u3060\u308d\u3046\u30fb\u30fb\u30fb\u300c\u767a\u58f2\u65e5\u306f\u524d\u591c\u304b\u3089\u4e26\u3093\u3067\u8cfc\u5165\u300d\u3068\u3044\u3046\u306e\u304c\u30d1\u30fc\u30c4\u5c4b\u3055\u3093\u306e\u6052\u4f8b\u884c\u4e8b\u3067\u3042\u308a\u307e\u3057\u305f\u304c\u3001\u4eca\u5e74\u306f\u30b3\u30ed\u30ca\u798d\u30fb\u30fb\u30fb\u5bc6\u306f\u3044\u3051\u306a\u3044\u3068\u3044\u3046\u3053\u3068\u3067\u3001\u62bd\u9078\u8ca9\u58f2\uff08PS5\u306a\u3093\u304b\u3082\u305d\u3046\u3067\u3059\u3088\u306d\uff09\u304c\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u4e0a\u3067\u7e70\u308a\u5e83\u3052\u3089\u308c\u3066\u3044\u307e\u3057\u305f\u3002
\n\u5f53\u305f\u3089\u306a\u3044\u3060\u308d\u3046\u306a\u3068\u601d\u3044\u306a\u304c\u3089\u3082\u5fdc\u52df\u3057\u3066\u307f\u305f\u3068\u3053\u308d\u3001\u904b\u3088\u304f\uff08\uff1f\uff09\u8cfc\u5165\u3067\u304d\u308b\u3053\u3068\u306b\u306a\u308a\u307e\u3057\u305f\u3002\uff08\u4eca\u5e74\u306e\u904b\u3092\u5168\u90e8\u4f7f\u3044\u679c\u305f\u3057\u305f\u306e\u3067\u306f\u306a\u3044\u304b\uff09<\/p>\n

CUDA 11.0\u4ee5\u964d\u3067\u306a\u3044\u3068\u8a8d\u8b58\u3055\u308c\u306a\u3044<\/h2>\n

\u3057\u304b\u3057\u3001CUDA11.0\u4ee5\u4e0a\u3067\u306a\u3044\u3068\u8a8d\u8b58\u3055\u308c\u306a\u3044\u554f\u984c\u3068\u304b\u304c\u3042\u3063\u3066\u3001\u8cfc\u5165\u5f8c\u3057\u3070\u3089\u304f\u4f7f\u3048\u306a\u3044\u72b6\u614b\u304c\u7d9a\u3044\u3066\u3044\u307e\u3057\u305f\u3002CUDA\u81ea\u4f53\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u30a2\u30c3\u30d7\u306f\u3059\u3050\u3067\u304d\u308b\u306e\u3067\u3059\u304c\u3001\u6df1\u5c64\u5b66\u7fd2\u306b\u4f7f\u3046\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\uff08TensorFlow\u3068\u304bnnabla\u3068\u304b\uff09\u304cCUDA11\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u306a\u3044\u3068\u8a08\u7b97\u3067\u304d\u306a\u3044\u554f\u984c\u304c\u3042\u308b\u305f\u3081\u3001\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u65b0\u30d0\u30fc\u30b8\u30e7\u30f3\u63d0\u4f9b\u5f85\u3061\u306b\u76f8\u6210\u308a\u307e\u3057\u305f\u3002\uff08\u305d\u3046\u3053\u3046\u3057\u3066\u3044\u308b\u3046\u3061\u306b\u3069\u3093\u3069\u3093GPU\u306e\u5024\u6bb5\u304c\u4e0b\u304c\u3063\u3066\u304b\u306a\u308a\u640d\u3057\u305f\u6c17\u5206\u3067\u3059\uff57\uff09<\/p>\n

SONY Neural Network Libralies 1.14.0 \u304c\u30ea\u30ea\u30fc\u30b9<\/h2>\n

\u5148\u9031\u3001\u3084\u3063\u3068CUDA11\u5bfe\u5fdc\u306ennabla1.14.0\u304c\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u307e\u3057\u305f\u306e\u3067\u3001\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3057\u3066\u307f\u307e\u3057\u305f\u3002
\n\u4ee5\u4e0b\u306e\u3088\u3046\u306bwindows10\u306eWSL2\u306bUbuntu18.04\u3092\u5165\u308c\u3066\u3001\u3044\u304f\u3064\u304b\u5b66\u7fd2\u6642\u9593\u3092\u8a08\u6e2c\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n\n\n\n\n\n\n\n
\u5bfe\u8c61<\/th>\n<\/th>\n<\/tr>\n<\/thead>\n
Graphics Card:<\/td>\nGeforce RTX 3090 \u7a7a\u51b7 OC\u30e2\u30c7\u30eb<\/td>\n<\/tr>\n
DriverVersion:<\/td>\n465.12<\/td>\n<\/tr>\n
Base OS:<\/td>\nWindows 10 Pro Build_20277.fe_release.201207-1545<\/td>\n<\/tr>\n
OS:<\/td>\nUbuntu 18.04 on WSL2<\/td>\n<\/tr>\n
CUDA runtime version:<\/td>\ncuda-repo-wsl-ubuntu-11-1-local_11.1.0-1_amd64.deb<\/td>\n<\/tr>\n
cuDNN version:<\/td>\ncudnn-11.1-linux-x64-v8.0.5.39.tgz<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n
\u6bd4\u8f03\u5bfe\u8c61<\/th>\n<\/th>\n<\/tr>\n<\/thead>\n
pascal<\/td>\nGeforce GTX 1080Ti 11GB \u6c34\u51b7<\/td>\n<\/tr>\n
volta<\/td>\nDGX-Station V100-32GB (single\u30fb\u6c34\u51b7)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

nnabla\u3068\u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b0\u30e9\u30e0\u3092pip\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3057\u305f\u3002<\/p>\n

pip install nnabla\npip install nnabla-ext-cuda110\npip install nnabla-sample\n<\/code><\/pre>\n
\u4ee5\u4e0b\u306e\uff13\u3064\u3067\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3092\u884c\u3044\u307e\u3057\u305f\u3002
\n\uff11. nnc1.9\u4ed8\u5c5e\u306e\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b0\u30e9\u30e0
\nunetlike_125px.sdcproj\u3067\u3067\u304d\u308bnet.nntxt\u3092nnabla_cli\u3067\u5b66\u7fd2\u3055\u305b\u3066\u307f\u307e\u3057\u305f\u3002<\/p>\n
$ nnabla_cli train \\\n-c \/mnt\/f\/unetlike_125px.files\/20201212_024128\/net.nntxt \\\n-o \/mnt\/f\/unetlike_125px.files\/20201212_024128\/\n<\/code><\/pre>\n
\uff12. nnabla\u306e\u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b0\u30e9\u30e0\uff1aGANs\/cycle-gan
\ncycleGAN\u306e\u30b5\u30f3\u30d7\u30eb\u3067\u3059\u3002<\/p>\n
$ python train.py --device-id 0 \\\n--context \"cudnn\" \\\n--lambda-idt 0.5 \\\n--monitor-path identity.monitor \\\n--model-save-path identity.monitor\n<\/code><\/pre>\n
\"\"
\u30b7\u30de\u30a6\u30de<->\u99ac\u5909\u63db\u3067\u6709\u540d\u306aGANs\u3067\u3059<\/p><\/div>\n
ICCV 2017
\n“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
\nJun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
\nBerkeley AI Research (BAIR) laboratory, UC Berkeley<\/p>\n
 <\/p>\n
\uff13. \u7570\u5e38\u691c\u77e5\u306e\u30aa\u30ea\u30b8\u30ca\u30eb\u5b66\u7fd2
\n\u7570\u5e38\u691c\u77e5\u7528\u306b\u958b\u767a\u3057\u305f\u30aa\u30ea\u30b8\u30ca\u30eb\u30b5\u30f3\u30d7\u30eb<\/p>\n
$ nnabla_cli train \\\n-c \/mnt\/f\/sample.files\/20201213_013579\/net.nntxt \\\n-p \/mnt\/f\/sample.files\/20201213_013579\/initial_parameters.h5 \\\n-o \/mnt\/f\/sample.files\/20201213_013579\/\n<\/code><\/pre>\n
\u7d50\u679c<\/h3>\n\n\n\n\n\n\n\n
case<\/th>\n3090<\/th>\n1080ti<\/th>\nv100<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>\n1 h 08 m 00 s<\/td>\n2 h 16 m 06 s<\/td>\n1 h 22 m 46 s<\/td>\n<\/tr>\n
2<\/td>\n9 h 31 m<\/td>\n24 h 30 m<\/td>\n13 h 30 m<\/td>\n<\/tr>\n
3<\/td>\n38 m 55 s<\/td>\n1 h 32 m 28 s<\/td>\n36 m 46 s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u30b3\u30a2\u6570\u304c\u52b9\u3044\u3066\u3044\u308b\u306e\u3067\u3001DGX-Station\u306e\u30b7\u30f3\u30b0\u30ebGPU\u3088\u308a\u901f\u3044\u5834\u5408\u3082\u3042\u308a\u307e\u3057\u305f\u3002\u4eca\u56de\u306f\u30d0\u30c3\u30c1\u30b5\u30a4\u30ba\u3092\u30c7\u30d5\u30a9\u30eb\u30c8\u306e\u307e\u307e\u52d5\u304b\u3057\u307e\u3057\u305f\u304c\u3001\u30e1\u30e2\u30ea\u5bb9\u91cf\u306e\u9650\u754c\u307e\u3067\u3042\u3052\u308b\u3053\u3068\u3067\u66f4\u306a\u308b\u9ad8\u901f\u5316\u3082\u898b\u8fbc\u3081\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u305f\u3060\u3057\u3001\u9ad8\u6e29\u6ce8\u610f\u4e2d\u3067\u3059\u300283\u2103\u4f4d\u307e\u3067\u3042\u304c\u308a\u3001\u9014\u4e2d\u304b\u3089NVIDIA GPU Boost\u304c\u52b9\u304b\u306a\u304f\u306a\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3057\u305f\u3002\u305d\u306e\u70b9\u3001\u6c34\u51b7\u306f60\u2103\u672a\u6e80\u3067\u63a8\u79fb\u3057\u307e\u3059\u306e\u3067\u3001\u5e38\u306bNVIDIA GPU Boost\u304c\u52b9\u3044\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002\uff08Case3\u304c\u9045\u304f\u306a\u3063\u3066\u3044\u308b\u539f\u56e0\u304b\u3082\u3057\u308c\u307e\u305b\u3093\uff09<\/p>\n
\u307e\u3068\u3081<\/h3>\n
Geforce RTX 3090\u306f\u3001V100-32GB\u3068\u6bd4\u3079\u3066\u307b\u307c\u540c\u3058\u304b\u901f\u304f\u3001\u5b9a\u4fa1\u3082\u7d041\/8\u7a0b\u5ea6\u3068\u304b\u306a\u308a\u304a\u5b89\u3044\u306e\u3067\u3001\u30af\u30ea\u30b9\u30de\u30b9\u30d7\u30ec\u30bc\u30f3\u30c8\u306b\u30aa\u30b9\u30b9\u30e1\u3067\u3059\u306d\uff57\uff57\uff57
\n1080Ti\uff083\u4e16\u4ee3\u524d\uff09\u306e2\u500d\u4ee5\u4e0a\u901f\u3044\u3067\u3059\u304c\u3001\u5b9a\u4fa1\u306f2\u500d\u7a0b\u5ea6\u3067\u3059\u3002\u305f\u3060\u3057\u30011080Ti\u306f\u4e2d\u53e4\u3082\u51fa\u56de\u3063\u3066\u3044\u308b\u305f\u3081\u30011080Ti\u306e\u65b9\u304c3090\u306e1\/4\u4ee5\u4e0b\u3067\u8cfc\u5165\u3067\u304d\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\uff08\u305d\u3046\u3044\u3063\u305f\u610f\u5473\u3067\u306f1080Ti\u306e2\u679a\u523a\u304c\u30b3\u30b9\u30d1\u304c\u9ad8\u3044\u306e\u304b\u3082\uff09
\n\u3069\u3046\u305b\u5de3\u3054\u3082\u308a\u306a\u306e\u3067\u3001GPU\u3067\u6696\u3092\u53d6\u308a\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3067\u9762\u767d\u7a7a\u9593\u3092\u5b66\u7fd2\u3057\u306a\u304c\u3089\u30af\u30ea\u30b9\u30de\u30b9\u30fb\u304a\u6b63\u6708\u3092\u904e\u3054\u3059\u306e\u3082\u60aa\u304f\u306f\u3042\u308a\u307e\u305b\u3093\u306d\u3002<\/p>\n
\u304a\u307e\u3051<\/h2>\n
\u30a8\u30b3\u30e2\u30c3\u30c8\uff08\u682a\uff09\u30c7\u30fc\u30bf\u30a2\u30ca\u30ea\u30c6\u30a3\u30af\u30b9\u90e8\u3067\u306f\u3001\u7d76\u8cdb\u3001\u8ab2\u984c\u89e3\u6c7a\u30a8\u30f3\u30b8\u30cb\u30a2\uff08\u7814\u7a76\u54e1\uff09\u3092\u52df\u96c6<\/a>\u3057\u3066\u3044\u307e\u3059\u3002\u6765\u5e74\u3001\u672d\u5e4c\u3067\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u751f\u6d3b\u3092\u9001\u308a\u305f\u3044\u65b9\u306e\u5fdc\u52df\u304a\u5f85\u3061\u3057\u3066\u304a\u308a\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u4eca\u5e74\u3082\u6b8b\u308a\u308f\u305a\u304b \u4eca\u5e74\u306f\u4f55\u3068\u3044\u3063\u3066\u3082\u65b0\u578b\u30b3\u30ed\u30ca\u3092\u767a\u7aef\u306b\u3057\u3066\u3001100\u5e74\u306b1\u5ea6\u306e\u6b74\u53f2\u7684\u306a\u5e74\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u611f\u67d3\u9632\u6b62\u306e\u89b3\u70b9\u304b\u3089\u4eba\u3068\u306e\u63a5\u89e6\u3092\u3067\u304d\u308b\u3060\u3051\u907f\u3051\u308b\u3053\u3068\u304c\u63a8\u5968\u3055\u308c\u3001\u4eca\u5c1a\u3001\u793e\u4f1a\u306f\u5927\u6df7\u4e71\u306b\u5dfb\u304d\u8fbc\u307e\u308c\u3066\u3044\u307e\u3059\u3002\u6b74\u53f2\u7684\u306a\u51fa\u6765\u4e8b\u3068\u3057 […]<\/p>\n","protected":false},"author":15,"featured_media":6702,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27,29],"tags":[95,45,98,53,93,96,94,46],"_links":{"self":[{"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/posts\/6701"}],"collection":[{"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6701"}],"version-history":[{"count":14,"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/posts\/6701\/revisions"}],"predecessor-version":[{"id":6726,"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/posts\/6701\/revisions\/6726"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/media\/6702"}],"wp:attachment":[{"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6701"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6701"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ecomottblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6701"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}