{"id":46100,"date":"2023-01-10T11:27:13","date_gmt":"2023-05-24T06:06:17","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/46100-2\/"},"modified":"2024-04-29T09:21:21","modified_gmt":"2024-04-29T01:21:21","slug":"46100-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/46100-2\/","title":{"rendered":""},"content":{"rendered":"

\u74b0\u5883<\/h4>\n

windows10 64bit
\ncpu: Ryzen7 1700X
\ngpu: GTX1080Ti
\nCUDA9.0
\ncuDNN7.3.1 for cuda9.0
\npython3.6
\ntensorflow-gpu 1.11.0
\nkeras 2.2.4<\/p>\n

\u3084\u3063\u305f\u3053\u3068<\/h4>\n
    \n
  1. \n
      jupyter notebook\u3067\u5b9f\u884c\u5f8c\u306bgc.collect()<\/ol>\n<\/li>\n<\/ol>\n

       <\/p>\n

        \n
      1. \n
          jupyter notebook\u3067\u5b9f\u884c\u5f8c\u306bdel model<\/ol>\n<\/li>\n<\/ol>\n

           <\/p>\n

            \n
          1. \n
              1\u3064\u306eclass\u306b\u307e\u3068\u3081\u3066jupyter notebook\u3067\u5b9f\u884c\u5f8c\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092del\u3059\u308b<\/ol>\n<\/li>\n<\/ol>\n

               <\/p>\n

                \n
              1. \n
                  py\u30d5\u30a1\u30a4\u30eb\u306b\u307e\u3068\u3081\u3066jupyter notebook\u304b\u3089%run\u3067\u547c\u3076<\/ol>\n<\/li>\n<\/ol>\n

                   <\/p>\n

                    \n
                  1. \n
                      terminal\u3067py\u30d5\u30a1\u30a4\u30eb\u3092\u5b9f\u884c<\/ol>\n<\/li>\n<\/ol>\n

                       <\/p>\n

                        pycharm\u3067py\u30d5\u30a1\u30a4\u30eb\u3092\u5b9f\u884c<\/ol>\n

                        \u4f55\u6545\u3084\u3063\u305f\u304b<\/h4>\n

                        GPU\u4f7f\u3063\u305f\u753b\u50cf\u8a8d\u8b58\u3092jupyter notebook\u3067\u3084\u308d\u3046\u3068\u3057\u305f\u3093\u3067\u3059\u304c\u30012\u56de\u76ee\u4ee5\u964d\u5b66\u7fd2\u304c\u6b62\u307e\u3063\u3066\u3057\u307e\u3063\u3066\u56f0\u308a\u307e\u3057\u305f\u3002nvidia-smi\u3067\u30e1\u30e2\u30ea\u4f7f\u7528\u72b6\u6cc1\u3092\u78ba\u8a8d\u3057\u305f\u3068\u3053\u308d\u3001\u5b66\u7fd2\u304c\u7d42\u308f\u3063\u305f\u3042\u3068\u3082\u30e1\u30e2\u30ea\u304c\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u3066\u306a\u3044\u306e\u304c\u5206\u304b\u3063\u305f\u306e\u3067\u3001\u3053\u308c\u3092\u30ea\u30ea\u30fc\u30b9\u3059\u308b\u3079\u304f\u8272\u3005\u8a66\u3057\u3066\u307f\u307e\u3057\u305f\u304c\u7d50\u5c40\u30c0\u30e1\u3067\u3057\u305f\u3002<\/p>\n

                        \u7d50\u8ad6<\/h4>\n

                        jupyter notebook\u4e0a\u3067\u51fa\u6765\u308b1\uff5e4\u306f\u5168\u90e8\u30c0\u30e1
                        \npycharm\u307e\u305f\u306fterminal\u306f\u7121\u4e8b\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u308b<\/p>\n

                        jupyter notebook\u304c\u30c0\u30e1\uff1f\u56f0\u3063\u305f\u306a\u3041\u2026<\/p>\n

                        1. jupyter notebook\u3067\u5b9f\u884c\u5f8c\u306bgc.collect()<\/h4>\n

                        >>> import gc
                        \n>>> gc.collect()<\/p>\n

                        \"image.png\"<\/div>\n

                        2. jupyter notebook\u3067\u5b9f\u884c\u5f8c\u306bdel model<\/h4>\n

                        keras+tensorflow-gpu\u3067\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u30e2\u30c7\u30eb\u3092\u4f5c\u3063\u305f\u3042\u3068\u5b66\u7fd2\u3057\u3066\u305f\u306e\u3067\u3001\u3053\u306emodel\u3092del\u3057\u305f\u3089\u30e1\u30e2\u30ea\u3082\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u308b\u304b\u306a\u3001\u3068\u3084\u3063\u3066\u307f\u307e\u3057\u305f\u3002
                        \n>>> #\u5b66\u7fd2
                        \n>>> model = self.initModel(self.nb_classes)
                        \n>>> history = model.fit_generator(train_batches, train_steps, epochs=self.epoch, validation_data=valid_batches, validation_steps=valid_steps)
                        \n>>> del model<\/p>\n

                        \"image.png\"<\/div>\n

                        3. 1\u3064\u306eclass\u306b\u307e\u3068\u3081\u3066jupyter notebook\u3067\u5b9f\u884c\u5f8c\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092del\u3059\u308b<\/h4>\n

                        \u3058\u3083\u3042\uff11\u3064\u306eclass\u306b\u307e\u3068\u3081\u3066\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u3063\u3066\u5b9f\u884c\u3057\u305f\u5f8c\u306b\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092del\u3057\u305f\u3089\u3069\u3046\u304b\u306a\u3068\u3044\u3046\u306e\u3092\u3084\u3063\u3066\u307f\u307e\u3057\u305f\u3002class visual()\u306b\u3059\u3079\u3066\u306e\u30b3\u30fc\u30c9\u3092\u307e\u3068\u3081\u3066\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u5b9f\u884c\u5f8c\u306bdel\u3002
                        \n>>> study = visual()
                        \n>>> %time history = study.main()
                        \n>>> del study<\/p>\n

                        \"image.png\"<\/div>\n

                        4. py\u30d5\u30a1\u30a4\u30eb\u306b\u307e\u3068\u3081\u3066jupyter notebook\u304b\u3089%run\u3067\u547c\u3076<\/h4>\n

                        \u4e0a\u8a18\u3067\u307e\u3068\u3081\u305fclass\u3092py\u30d5\u30a1\u30a4\u30eb\u306b\u3057\u3066\u3001jupyter notebook\u304b\u3089\u547c\u3093\u3060\u3089\u3069\u3046\u304b\u306a\u3068\u3044\u3046\u306e\u3092\u3084\u3063\u3066\u307f\u307e\u3057\u305f\u3002\u4e0b\u8a18\u3067\u306fipynb\u30d5\u30a1\u30a4\u30eb\u7f6e\u3044\u3066\u308b\u5834\u6240\u3068\u540c\u3058\u30d5\u30a9\u30eb\u30c0\u306bvisual10.py\u3092\u7f6e\u3044\u3066\u3044\u307e\u3059\u3002
                        \n>>> %run ‘.\/visual10.py’<\/p>\n

                        \"image.png\"<\/div>\n

                        5. terminal\u3067py\u30d5\u30a1\u30a4\u30eb\u3092\u5b9f\u884c<\/h4>\n

                        \u305d\u3093\u3067\u3001\u4e0a\u8a18visual10.py\u3092terminal\u304b\u3089\u5b9f\u884c\u3059\u308b\u3068\u3069\u3046\u306a\u308b\u304b\u3068\u3044\u3046\u3068\u3067\u3059\u306d<\/p>\n

                        \"image.png\"<\/div>\n

                        6. pycharm\u3067py\u30d5\u30a1\u30a4\u30eb\u3092\u5b9f\u884c<\/h4>\n

                        \u3058\u3083\u3042\u540c\u3058\u3053\u3068\u3092pycharm\u304b\u3089\u3084\u308b\u3068\uff1f<\/p>\n

                        \"image.png\"<\/div>\n

                        \u307e\u3068\u3081<\/h4>\n

                        4\uff5e6\u306f\u540c\u3058\u30d5\u30a1\u30a4\u30eb\u3092\u5b9f\u884c\u3057\u3066\u308b\u3060\u3051\u306a\u3093\u3067\u3059\u3088\u306d\u3002\u4eca\u56de\u306f\u6bd4\u8f03\u306e\u305f\u3081\u306b\u540c\u3058Anaconda\u3067\u4f5c\u3063\u305fpython.exe\u30d5\u30a1\u30a4\u30eb\u3092\u4f7f\u3063\u3066\u5b9f\u884c\u3057\u3066\u308b\u306e\u3067\u3001\u9055\u3044\u306f\u3069\u3053\u304b\u3089\u5b9f\u884c\u3057\u305f\u304b\u3060\u3051\u306a\u3093\u3067\u3059\u304c\u3001jupyter notebook\u306e\u307f\u304c\u30c0\u30e1\u3068\u3044\u3046\u7d50\u679c\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n

                        1\u56de\u3060\u3051\u5b9f\u884c\u3059\u308b\u306a\u3089\u554f\u984c\u306a\u3044\u3057\u3001\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u3044\u304f\u904e\u7a0b\u3067\u306f\u7d50\u679c\u304c\u898b\u3084\u3059\u3044jupyter notebook\u304c\u3084\u308a\u3084\u3059\u3044\u306e\u3067\u3001jupyter notebook\u3067\u66f8\u304d\u306a\u304c\u3089\u5b8c\u6210\u3057\u305f\u3089py\u30d5\u30a1\u30a4\u30eb\u306b\u307e\u3068\u3081\u308b\u3068\u3044\u3046\u3084\u308a\u65b9\u306b\u306a\u308a\u305d\u3046\u3067\u3059\u3002<\/p>\n

                        \u307b\u3093\u3068\u306f\u5168\u90e8jupyter notebook\u3067\u3084\u308a\u305f\u3044\u3093\u3067\u3001\u7d99\u7d9a\u3057\u3066\u826f\u3044\u65b9\u6cd5\u3092\u63a2\u3057\u305f\u3044\u3067\u3059\u304c\u691c\u7d22\u3057\u3066\u3082\u624b\u52d5\u3067\u30d7\u30ed\u30bb\u30b9kill\u3059\u308b\u65b9\u6cd5\u3057\u304b\u51fa\u3066\u6765\u306a\u3044\u306e\u3067\u9023\u7d9a\u3057\u3066\u8907\u6570\u306e\u6761\u4ef6\u3092\u8a66\u3057\u3066\u3044\u304f\u4f7f\u3044\u65b9\u304c\u51fa\u6765\u306a\u3044\u3093\u3067\u3059\u3088\u306d\u2026<\/p>\n

                        \u60a9\u307e\u3057\u3044\u3067\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

                        \u74b0\u5883 windows10 64bit cpu: Ryzen7 1700X gpu: GTX1080Ti CUD […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46100","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n- Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/46100-2\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:description\" content=\"\u74b0\u5883 windows10 64bit cpu: Ryzen7 1700X gpu: GTX1080Ti CUD […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/46100-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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