{"id":2610,"date":"2026-02-15T19:27:59","date_gmt":"2026-02-15T11:27:59","guid":{"rendered":"https:\/\/ai.ziyuanzz.online\/?page_id=2610"},"modified":"2026-03-28T09:37:21","modified_gmt":"2026-03-28T01:37:21","slug":"%e6%98%87%e6%80%9dmindspore","status":"publish","type":"page","link":"https:\/\/ai.ziyuanzz.online\/index.php\/%e6%98%87%e6%80%9dmindspore\/","title":{"rendered":"\u6607\u601dMindSpore"},"content":{"rendered":"
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\u6607\u601dMindSpore<\/h2>\n\n\n\n

\u534e\u4e3a\u5f00\u6e90\u7684\u81ea\u7814AI\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6<\/p>\n\n\n\n

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\u6607\u601dMindSpore\u662f\u4ec0\u4e48<\/h2>\n\n\n\n

\u6607\u601dMindSpore\u662f\u534e\u4e3a\u63a8\u51fa\u7684\u9002\u7528\u7aef\u8fb9\u4e91\u573a\u666f\u7684\u65b0\u578b\u5f00\u6e90\u5168\u573a\u666f\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u6607\u601dMindSpore\u5177\u5907\u5f3a\u5927\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u80fd\u529b\uff0c\u5185\u7f6e\u591a\u79cd\u5e76\u884c\u7b56\u7565\uff0c\u7b80\u5316\u5927\u6a21\u578b\u5f00\u53d1\u3002\u6607\u601dMindSpore\u4e0e\u6607\u817e\u5904\u7406\u5668\u6df1\u5ea6\u9002\u914d\uff0c\u5145\u5206\u53d1\u6325\u786c\u4ef6\u6027\u80fd\uff0c\u7f29\u77ed\u8bad\u7ec3\u65f6\u95f4\u5e76\u63d0\u5347\u63a8\u7406\u6548\u7387\u3002\u6607\u601dMindSpore\u652f\u6301AI\u4e0e\u9ad8\u6027\u80fd\u8ba1\u7b97\uff08HPC\uff09\u878d\u5408\uff0c\u6ee1\u8db3AI for Science\u573a\u666f\u9700\u6c42\u3002\u6607\u601dMindSpore\u751f\u6001\u4e30\u5bcc\uff0c\u63d0\u4f9b\u5f00\u6e90\u9879\u76ee\u3001\u6848\u4f8b\u548cSOTA\u6a21\u578b\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u5feb\u901f\u4e0a\u624b\u548c\u5e94\u7528\u3002<\/p>\n\n\n\n

\"\u6607\u601dMindSpore\"<\/a><\/figure>\n\n\n\n

\u6607\u601dMindSpore\u7684\u4e3b\u8981\u529f\u80fd<\/h2>\n\n\n\n
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  • \u5168\u573a\u666fAI\u6846\u67b6<\/strong>\uff1a\u6607\u601dMindSpore\u652f\u6301\u4e91\u3001\u8fb9\u7f18\u548c\u7aef\u4fa7\u7684\u5feb\u901f\u90e8\u7f72\uff0c\u9002\u7528\u591a\u79cd\u786c\u4ef6\u5e73\u53f0\uff0c\u5982\u6607\u817e\u5904\u7406\u5668\u3001GPU\u3001CPU\u7b49\u3002<\/li>\n\n\n\n
  • \u5206\u5e03\u5f0f\u8bad\u7ec3<\/strong>\uff1a\u5185\u7f6e\u591a\u79cd\u5e76\u884c\u80fd\u529b\uff0c\u63d0\u4f9b\u7b80\u5355\u6613\u7528\u7684\u5927\u6a21\u578b\u5206\u5e03\u5f0f\u7b56\u7565\u914d\u7f6e\u63a5\u53e3\uff0c\u652f\u6301\u9ad8\u6548\u7684\u5927\u6a21\u578b\u8bad\u7ec3\u3002<\/li>\n\n\n\n
  • AI4S\u878d\u5408\u8ba1\u7b97\u6846\u67b6<\/strong>\uff1a\u652f\u6301AI + HPC\u5168\u6d41\u7a0b\u53ef\u7f16\u7a0b\uff0c\u6ee1\u8db3AI for Science\u573a\u666f\u7684\u5f02\u6784\u5e76\u884c\u52a0\u901f\u9700\u6c42\u3002<\/li>\n\n\n\n
  • \u786c\u4ef6\u6f5c\u80fd\u53d1\u6325<\/strong>\uff1a\u52a8\u9759\u7edf\u4e00\u7f16\u7a0b\uff0c\u6700\u4f73\u5339\u914d\u6607\u817e\u5904\u7406\u5668\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u7f29\u77ed\u8bad\u7ec3\u65f6\u95f4\uff0c\u63d0\u5347\u63a8\u7406\u6027\u80fd\u3002<\/li>\n\n\n\n
  • \u5b89\u88c5\u4e0e\u4f7f\u7528<\/strong>\uff1a\u63d0\u4f9b\u8be6\u7ec6\u7684\u5b89\u88c5\u6307\u5357\u548c\u547d\u4ee4\uff0c\u652f\u6301\u591a\u79cd\u786c\u4ef6\u5e73\u53f0\u3002<\/li>\n\n\n\n
  • \u4e91\u5e73\u53f0\u652f\u6301<\/strong>\uff1a\u63d0\u4f9b\u4e91\u5e73\u53f0\u652f\u6301\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u521b\u5efa\u548c\u90e8\u7f72\u6a21\u578b\uff0c\u7ba1\u7406\u5168\u5468\u671fAI\u5de5\u4f5c\u6d41\u3002<\/li>\n\n\n\n
  • \u751f\u6001\u8d44\u6e90<\/strong>\uff1a\u63d0\u4f9b\u5f00\u6e90\u9879\u76ee\u3001\u6848\u4f8b\u96c6\u5408\u3001SOTA\u6a21\u578b\u53ca\u5176\u884d\u751f\u5de5\u5177\uff0c\u652f\u6301\u591a\u79cd\u9886\u57df\u5957\u4ef6\uff08\u5982NLP\u3001CV\u3001Audio\u7b49\uff09\u3002<\/li>\n<\/ul>\n\n\n\n

    \u5982\u4f55\u4f7f\u7528\u6607\u601dMindSpore<\/h2>\n\n\n\n
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    • \u73af\u5883\u51c6\u5907<\/strong>\uff1a\n
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      • \u786c\u4ef6\u73af\u5883<\/strong>\uff1a\u6607\u601dMindSpore\u652f\u6301\u591a\u79cd\u786c\u4ef6\u5e73\u53f0\uff0c\u5305\u62ec\u6607\u817e\u5904\u7406\u5668\u3001GPU\uff08\u5982NVIDIA\u7cfb\u5217\uff09\u3001CPU\uff08\u5982Intel x86\u3001Arm\u67b6\u6784\uff09\u7b49\u3002<\/li>\n\n\n\n
      • \u8f6f\u4ef6\u73af\u5883<\/strong>\uff1a\n
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        • \u64cd\u4f5c\u7cfb\u7edf<\/strong>\uff1a\u63a8\u8350\u4f7f\u7528Linux\uff08\u5982Ubuntu 18.04\u6216CentOS 7.6\u53ca\u4ee5\u4e0a\u7248\u672c\uff09\uff0c\u4e5f\u652f\u6301Windows\u548cmacOS\u3002<\/li>\n\n\n\n
        • Python\u73af\u5883<\/strong>\uff1a\u63a8\u8350\u4f7f\u7528Python 3.7\u53ca\u4ee5\u4e0a\u7248\u672c\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • \u5b89\u88c5MindSpore<\/strong>\uff1a\n
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          • \u5b89\u88c5\u65b9\u5f0f<\/strong>\uff1a\u6839\u636e\u4f7f\u7528\u7684\u786c\u4ef6\u5e73\u53f0\uff0c\u9009\u62e9\u5408\u9002\u7684\u5b89\u88c5\u547d\u4ee4\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5b89\u88c5\u65b9\u5f0f\uff1a\n
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            • \u5b89\u88c5CPU\u7248\u672c<\/strong>\uff1a<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
              pip <span class<\/strong>=\"token function\">install<\/span> mindspore<\/pre>\n\n\n\n
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                  • \u5b89\u88c5GPU\u7248\u672c\uff08\u4ee5CUDA 11.1\u4e3a\u4f8b\uff09<\/strong>\uff1a<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                    pip <span class<\/strong>=\"token function\">install<\/span> mindspore-gpu<span class<\/strong>=\"token operator\">==<\/span><span class<\/strong>=\"token number\">1.10<\/span>.0<\/pre>\n\n\n\n
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                        • \u5b89\u88c5\u6607\u817e\u7248\u672c<\/strong>\uff1a<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                          pip <span class<\/strong>=\"token function\">install<\/span> https:\/\/ms-release.obs.cn-north-4.myhuaweicloud.com\/2.6.0\/MindSpore\/unified\/aarch64\/mindspore-2.6.0-cp39-cp39-linux_aarch64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com <span class=\"token parameter variable\">-i<\/span> https:\/\/pypi.tuna.tsinghua.edu.cn\/simple<\/pre>\n\n\n\n
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                            • \u9a8c\u8bc1\u5b89\u88c5<\/strong>\uff1a\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u9a8c\u8bc1MindSpore\u662f\u5426\u5b89\u88c5\u6210\u529f\uff1a<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                              <span class<\/strong>=\"token keyword\">import<\/span> mindspore<span class<\/strong>=\"token keyword\">print<\/span><span class<\/strong>=\"token punctuation\">(<\/span>mindspore<span class<\/strong>=\"token punctuation\">.<\/span>__version__<span class<\/strong>=\"token punctuation\">)<\/span><\/pre>\n\n\n\n
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                              • \u5feb\u901f\u5165\u95e8<\/strong>\uff1a\n
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                                • \u6570\u636e\u5904\u7406<\/strong>\uff1a\u6846\u67b6\u63d0\u4f9b\u9ad8\u6548\u7684\u6570\u636e\u5904\u7406Pipeline\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u96c6\u52a0\u8f7d\u548c\u9884\u5904\u7406\u64cd\u4f5c\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                                  <span class<\/strong>=\"token keyword\">import<\/span> mindspore<span class<\/strong>=\"token punctuation\">.<\/span>dataset <span class<\/strong>=\"token keyword\">as<\/span> ds<span class<\/strong>=\"token keyword\">from<\/span> mindspore<span class<\/strong>=\"token punctuation\">.<\/span>dataset<span class<\/strong>=\"token punctuation\">.<\/span>transforms <span class<\/strong>=\"token keyword\">import<\/span> Compose<span class<\/strong>=\"token punctuation\">,<\/span> ToTensor<span class<\/strong>=\"token punctuation\">,<\/span> Normalize<span class<\/strong>=\"token comment\"># \u52a0\u8f7dMNIST\u6570\u636e\u96c6<\/span>dataset <span class<\/strong>=\"token operator\">=<\/span> ds<span class<\/strong>=\"token punctuation\">.<\/span>MnistDataset<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token string\">\"path\/to\/mnist_dataset\"<\/span><span class<\/strong>=\"token punctuation\">)<\/span>transforms <span class<\/strong>=\"token operator\">=<\/span> Compose<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token punctuation\">[<\/span>ToTensor<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">,<\/span> Normalize<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token number\">0.1307<\/span><span class<\/strong>=\"token punctuation\">,<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">,<\/span> <span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token number\">0.3081<\/span><span class<\/strong>=\"token punctuation\">,<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">]<\/span><span class<\/strong>=\"token punctuation\">)<\/span>dataset <span class<\/strong>=\"token operator\">=<\/span> dataset<span class<\/strong>=\"token punctuation\">.<\/span><span class<\/strong>=\"token builtin\">map<\/span><span class<\/strong>=\"token punctuation\">(<\/span>operations<span class<\/strong>=\"token operator\">=<\/span>transforms<span class<\/strong>=\"token punctuation\">,<\/span> input_columns<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token punctuation\">[<\/span><span class<\/strong>=\"token string\">\"image\"<\/span><span class<\/strong>=\"token punctuation\">]<\/span><span class<\/strong>=\"token punctuation\">)<\/span>dataset <span class<\/strong>=\"token operator\">=<\/span> dataset<span class<\/strong>=\"token punctuation\">.<\/span>batch<span class<\/strong>=\"token punctuation\">(<\/span>batch_size<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token number\">64<\/span><span class<\/strong>=\"token punctuation\">)<\/span><\/pre>\n\n\n\n
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                                    • \u6784\u5efa\u6a21\u578b<\/strong>\uff1a\u6846\u67b6\u63d0\u4f9b\u4e30\u5bcc\u7684API\uff0c\u652f\u6301\u52a8\u6001\u56fe\u548c\u9759\u6001\u56fe\u7f16\u7a0b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                                      <span class<\/strong>=\"token keyword\">import<\/span> mindspore<span class<\/strong>=\"token punctuation\">.<\/span>nn <span class<\/strong>=\"token keyword\">as<\/span> nn<span class<\/strong>=\"token keyword\">import<\/span> mindspore<span class<\/strong>=\"token punctuation\">.<\/span>ops <span class<\/strong>=\"token keyword\">as<\/span> ops<span class<\/strong>=\"token keyword\">class<\/strong><\/span> <span class<\/strong>=\"token class-name\">LeNet5<\/span><span class<\/strong>=\"token punctuation\">(<\/span>nn<span class<\/strong>=\"token punctuation\">.<\/span>Cell<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">:<\/span>    <span class<\/strong>=\"token keyword\">def<\/strong><\/span> <span class<\/strong>=\"token function\">__init__<\/span><span class<\/strong>=\"token punctuation\">(<\/span>self<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">:<\/span>        <span class<\/strong>=\"token builtin\">super<\/span><span class<\/strong>=\"token punctuation\">(<\/span>LeNet5<span class<\/strong>=\"token punctuation\">,<\/span> self<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">.<\/span>__init__<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        self<span class<\/strong>=\"token punctuation\">.<\/span>conv1 <span class<\/strong>=\"token operator\">=<\/span> nn<span class<\/strong>=\"token punctuation\">.<\/span>Conv2d<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token number\">1<\/span><span class<\/strong>=\"token punctuation\">,<\/span> <span class<\/strong>=\"token number\">6<\/span><span class<\/strong>=\"token punctuation\">,<\/span> <span class<\/strong>=\"token number\">5<\/span><span class<\/strong>=\"token punctuation\">,<\/span> pad_mode<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token string\">'valid'<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        self<span class<\/strong>=\"token punctuation\">.<\/span>conv2 <span class<\/strong>=\"token operator\">=<\/span> nn<span class<\/strong>=\"token punctuation\">.<\/span>Conv2d<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token number\">6<\/span><span class<\/strong>=\"token punctuation\">,<\/span> <span class<\/strong>=\"token number\">16<\/span><span class<\/strong>=\"token punctuation\">,<\/span> <span class<\/strong>=\"token number\">5<\/span><span class<\/strong>=\"token punctuation\">,<\/span> pad_mode<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token string\">'valid'<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        self<span class<\/strong>=\"token punctuation\">.<\/span>fc1 <span class<\/strong>=\"token operator\">=<\/span> nn<span class<\/strong>=\"token punctuation\">.<\/span>Dense<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token number\">16<\/span> <span class<\/strong>=\"token operator\">*<\/span> <span class<\/strong>=\"token number\">5<\/span> <span class<\/strong>=\"token operator\">*<\/span> <span class<\/strong>=\"token number\">5<\/span><span class<\/strong>=\"token punctuation\">,<\/span> <span class<\/strong>=\"token number\">120<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        self<span class<\/strong>=\"token punctuation\">.<\/span>fc2 <span class<\/strong>=\"token operator\">=<\/span> nn<span class<\/strong>=\"token punctuation\">.<\/span>Dense<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token number\">120<\/span><span class<\/strong>=\"token punctuation\">,<\/span> <span class<\/strong>=\"token number\">84<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        self<span class<\/strong>=\"token punctuation\">.<\/span>fc3 <span class<\/strong>=\"token operator\">=<\/span> nn<span class<\/strong>=\"token punctuation\">.<\/span>Dense<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token number\">84<\/span><span class<\/strong>=\"token punctuation\">,<\/span> <span class<\/strong>=\"token number\">10<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        self<span class<\/strong>=\"token punctuation\">.<\/span>relu <span class<\/strong>=\"token operator\">=<\/span> nn<span class<\/strong>=\"token punctuation\">.<\/span>ReLU<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        self<span class<\/strong>=\"token punctuation\">.<\/span>max_pool2d <span class<\/strong>=\"token operator\">=<\/span> nn<span class<\/strong>=\"token punctuation\">.<\/span>MaxPool2d<span class<\/strong>=\"token punctuation\">(<\/span>kernel_size<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token number\">2<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        self<span class<\/strong>=\"token punctuation\">.<\/span>flatten <span class<\/strong>=\"token operator\">=<\/span> ops<span class<\/strong>=\"token punctuation\">.<\/span>Flatten<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token punctuation\">)<\/span>    <span class<\/strong>=\"token keyword\">def<\/strong><\/span> <span class<\/strong>=\"token function\">construct<\/span><span class<\/strong>=\"token punctuation\">(<\/span>self<span class<\/strong>=\"token punctuation\">,<\/span> x<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">:<\/span>        x <span class<\/strong>=\"token operator\">=<\/span> self<span class<\/strong>=\"token punctuation\">.<\/span>max_pool2d<span class<\/strong>=\"token punctuation\">(<\/span>self<span class<\/strong>=\"token punctuation\">.<\/span>relu<span class<\/strong>=\"token punctuation\">(<\/span>self<span class<\/strong>=\"token punctuation\">.<\/span>conv1<span class<\/strong>=\"token punctuation\">(<\/span>x<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        x <span class<\/strong>=\"token operator\">=<\/span> self<span class<\/strong>=\"token punctuation\">.<\/span>max_pool2d<span class<\/strong>=\"token punctuation\">(<\/span>self<span class<\/strong>=\"token punctuation\">.<\/span>relu<span class<\/strong>=\"token punctuation\">(<\/span>self<span class<\/strong>=\"token punctuation\">.<\/span>conv2<span class<\/strong>=\"token punctuation\">(<\/span>x<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        x <span class<\/strong>=\"token operator\">=<\/span> self<span class<\/strong>=\"token punctuation\">.<\/span>flatten<span class<\/strong>=\"token punctuation\">(<\/span>x<span class<\/strong>=\"token punctuation\">)<\/span>        x <span class<\/strong>=\"token operator\">=<\/span> self<span class<\/strong>=\"token punctuation\">.<\/span>relu<span class<\/strong>=\"token punctuation\">(<\/span>self<span class<\/strong>=\"token punctuation\">.<\/span>fc1<span class<\/strong>=\"token punctuation\">(<\/span>x<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        x <span class<\/strong>=\"token operator\">=<\/span> self<span class<\/strong>=\"token punctuation\">.<\/span>relu<span class<\/strong>=\"token punctuation\">(<\/span>self<span class<\/strong>=\"token punctuation\">.<\/span>fc2<span class<\/strong>=\"token punctuation\">(<\/span>x<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">)<\/span>        x <span class<\/strong>=\"token operator\">=<\/span> self<span class<\/strong>=\"token punctuation\">.<\/span>fc3<span class<\/strong>=\"token punctuation\">(<\/span>x<span class<\/strong>=\"token punctuation\">)<\/span>        <span class<\/strong>=\"token keyword\">return<\/strong><\/span> xmodel <span class<\/strong>=\"token operator\">=<\/span> LeNet5<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token punctuation\">)<\/span><\/pre>\n\n\n\n
                                        \n
                                      • \n
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                                        • \u8bad\u7ec3\u6a21\u578b<\/strong>\uff1a\u6846\u67b6\u63d0\u4f9bModel<\/code>\u7c7b\uff0c\u7b80\u5316\u8bad\u7ec3\u548c\u8bc4\u4f30\u6d41\u7a0b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                                          <span class<\/strong>=\"token keyword\">from<\/span> mindspore<span class<\/strong>=\"token punctuation\">.<\/span>train <span class<\/strong>=\"token keyword\">import<\/span> Model<span class<\/strong>=\"token keyword\">from<\/span> mindspore<span class<\/strong>=\"token punctuation\">.<\/span>nn <span class<\/strong>=\"token keyword\">import<\/span> SoftmaxCrossEntropyWithLogits<span class<\/strong>=\"token punctuation\">,<\/span> Momentum<span class<\/strong>=\"token keyword\">from<\/span> mindspore<span class<\/strong>=\"token punctuation\">.<\/span>train<span class<\/strong>=\"token punctuation\">.<\/span>callback <span class<\/strong>=\"token keyword\">import<\/span> ModelCheckpoint<span class<\/strong>=\"token punctuation\">,<\/span> CheckpointConfig<span class<\/strong>=\"token comment\"># \u5b9a\u4e49\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668<\/span>loss_fn <span class<\/strong>=\"token operator\">=<\/span> SoftmaxCrossEntropyWithLogits<span class<\/strong>=\"token punctuation\">(<\/span>sparse<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token boolean\">True<\/strong><\/span><span class<\/strong>=\"token punctuation\">,<\/span> reduction<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token string\">'mean'<\/span><span class<\/strong>=\"token punctuation\">)<\/span>optimizer <span class<\/strong>=\"token operator\">=<\/span> Momentum<span class<\/strong>=\"token punctuation\">(<\/span>model<span class<\/strong>=\"token punctuation\">.<\/span>trainable_params<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token punctuation\">,<\/span> learning_rate<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token number\">0.01<\/span><span class<\/strong>=\"token punctuation\">,<\/span> momentum<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token number\">0.9<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token comment\"># \u521b\u5efaModel\u5b9e\u4f8b<\/span>model <span class<\/strong>=\"token operator\">=<\/span> Model<span class<\/strong>=\"token punctuation\">(<\/span>model<span class<\/strong>=\"token punctuation\">,<\/span> loss_fn<span class<\/strong>=\"token operator\">=<\/span>loss_fn<span class<\/strong>=\"token punctuation\">,<\/span> optimizer<span class<\/strong>=\"token operator\">=<\/span>optimizer<span class<\/strong>=\"token punctuation\">,<\/span> metrics<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token punctuation\">{<\/span><span class<\/strong>=\"token string\">'accuracy'<\/span><span class<\/strong>=\"token punctuation\">}<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token comment\"># \u8bbe\u7f6e\u4fdd\u5b58\u68c0\u67e5\u70b9\u7684\u914d\u7f6e<\/span>config_ck <span class<\/strong>=\"token operator\">=<\/span> CheckpointConfig<span class<\/strong>=\"token punctuation\">(<\/span>save_checkpoint_steps<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token number\">1875<\/span><span class<\/strong>=\"token punctuation\">,<\/span> keep_checkpoint_max<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token number\">10<\/span><span class<\/strong>=\"token punctuation\">)<\/span>ckpoint_cb <span class<\/strong>=\"token operator\">=<\/span> ModelCheckpoint<span class<\/strong>=\"token punctuation\">(<\/span>prefix<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token string\">\"lenet\"<\/span><span class<\/strong>=\"token punctuation\">,<\/span> config<span class<\/strong>=\"token operator\">=<\/span>config_ck<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token comment\"># \u5f00\u59cb\u8bad\u7ec3<\/span>model<span class<\/strong>=\"token punctuation\">.<\/span>train<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token number\">10<\/span><span class<\/strong>=\"token punctuation\">,<\/span> dataset<span class<\/strong>=\"token punctuation\">,<\/span> callbacks<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token punctuation\">[<\/span>ckpoint_cb<span class<\/strong>=\"token punctuation\">]<\/span><span class<\/strong>=\"token punctuation\">)<\/span><\/pre>\n\n\n\n
                                            \n
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                                            • \u8bc4\u4f30\u6a21\u578b<\/strong>\uff1a\u8bad\u7ec3\u5b8c\u6210\u540e\uff0c\u7528\u6d4b\u8bd5\u96c6\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                                              <span class<\/strong>=\"token comment\"># \u52a0\u8f7d\u6d4b\u8bd5\u6570\u636e\u96c6<\/span>test_dataset <span class<\/strong>=\"token operator\">=<\/span> ds<span class<\/strong>=\"token punctuation\">.<\/span>MnistDataset<span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token string\">\"path\/to\/mnist_test_dataset\"<\/span><span class<\/strong>=\"token punctuation\">)<\/span>test_dataset <span class<\/strong>=\"token operator\">=<\/span> test_dataset<span class<\/strong>=\"token punctuation\">.<\/span><span class<\/strong>=\"token builtin\">map<\/span><span class<\/strong>=\"token punctuation\">(<\/span>operations<span class<\/strong>=\"token operator\">=<\/span>transforms<span class<\/strong>=\"token punctuation\">,<\/span> input_columns<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token punctuation\">[<\/span><span class<\/strong>=\"token string\">\"image\"<\/span><span class<\/strong>=\"token punctuation\">]<\/span><span class<\/strong>=\"token punctuation\">)<\/span>test_dataset <span class<\/strong>=\"token operator\">=<\/span> test_dataset<span class<\/strong>=\"token punctuation\">.<\/span>batch<span class<\/strong>=\"token punctuation\">(<\/span>batch_size<span class<\/strong>=\"token operator\">=<\/span><span class<\/strong>=\"token number\">64<\/span><span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token comment\"># \u8bc4\u4f30\u6a21\u578b<\/span>acc <span class<\/strong>=\"token operator\">=<\/span> model<span class<\/strong>=\"token punctuation\">.<\/span><span class<\/strong>=\"token builtin\">eval<\/span><span class<\/strong>=\"token punctuation\">(<\/span>test_dataset<span class<\/strong>=\"token punctuation\">)<\/span><span class<\/strong>=\"token keyword\">print<\/span><span class<\/strong>=\"token punctuation\">(<\/span><span class<\/strong>=\"token string-interpolation\"><span class<\/strong>=\"token string\">f\"Accuracy: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>acc<span class=\"token punctuation\">[<\/span><span class=\"token string\">'accuracy'<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">\"<\/span><\/span><span class<\/strong>=\"token punctuation\">)<\/span><\/pre>\n\n\n\n
                                              \u6607\u601dMindSpore\u7684\u5e94\u7528\u573a\u666f<\/h2>\n\n\n\n
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                                              • \u667a\u80fd\u4ea4\u901a\u4e0e\u81ea\u52a8\u9a7e\u9a76<\/strong>\uff1a\u5728\u81ea\u52a8\u9a7e\u9a76\u8f66\u8f86\u548c\u667a\u80fd\u4ea4\u901a\u7cfb\u7edf\u4e2d\uff0c\u7528\u5728\u5b9e\u65f6\u76ee\u6807\u68c0\u6d4b\u3001\u8def\u5f84\u89c4\u5212\u548c\u4ea4\u901a\u6d41\u91cf\u7ba1\u7406\uff0c\u63d0\u5347\u4ea4\u901a\u6548\u7387\u548c\u5b89\u5168\u6027\u3002<\/li>\n\n\n\n
                                              • \u5de5\u4e1a\u81ea\u52a8\u5316\u4e0e\u667a\u80fd\u5236\u9020<\/strong>\uff1a\u90e8\u7f72\u5728\u5de5\u4e1a\u751f\u4ea7\u7ebf\u4e0a\uff0c\u7528\u5728\u5b9e\u65f6\u8d28\u91cf\u68c0\u6d4b\u548c\u8bbe\u5907\u6545\u969c\u9884\u6d4b\uff0c\u4f18\u5316\u751f\u4ea7\u6d41\u7a0b\uff0c\u63d0\u9ad8\u751f\u4ea7\u6548\u7387\u3002<\/li>\n\n\n\n
                                              • \u533b\u7597\u5065\u5eb7\u4e0e\u533b\u5b66\u5f71\u50cf<\/strong>\uff1a\u7528\u5728\u533b\u5b66\u5f71\u50cf\u5206\u6790\u548c\u667a\u80fd\u5065\u5eb7\u76d1\u6d4b\u8bbe\u5907\uff0c\u8f85\u52a9\u533b\u751f\u8bca\u65ad\u75be\u75c5\uff0c\u63d0\u5347\u533b\u7597\u670d\u52a1\u6c34\u5e73\u3002<\/li>\n\n\n\n
                                              • \u79d1\u5b66\u7814\u7a76\u4e0e\u5de5\u7a0b\u4eff\u771f<\/strong>\uff1a\u7ed3\u5408AI4S\u5957\u4ef6\uff0c\u52a0\u901f\u7535\u78c1\u4eff\u771f\u3001\u6d41\u4f53\u4eff\u771f\u548c\u5206\u5b50\u52a8\u529b\u5b66\u6a21\u62df\u7b49\u79d1\u5b66\u8ba1\u7b97\u4efb\u52a1\uff0c\u52a9\u529b\u79d1\u7814\u521b\u65b0\u3002<\/li>\n\n\n\n
                                              • \u4f01\u4e1a\u6570\u636e\u5206\u6790\u4e0e\u51b3\u7b56\u652f\u6301<\/strong>\uff1a\u7528\u5728\u4f01\u4e1a\u5ba2\u6237\u884c\u4e3a\u5206\u6790\u3001\u5e02\u573a\u8d8b\u52bf\u9884\u6d4b\u548c\u98ce\u9669\u8bc4\u4f30\uff0c\u5e2e\u52a9\u4f01\u4e1a\u505a\u51fa\u66f4\u7cbe\u51c6\u7684\u51b3\u7b56\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
                                                \u6607\u601dMindSpore \u534e\u4e3a\u5f00\u6e90\u7684\u81ea\u7814AI\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6 \u6607\u601dMindSpore\u662f\u4ec0\u4e48 \u6607\u601dMindSpore\u662f […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2610","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages\/2610","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/comments?post=2610"}],"version-history":[{"count":0,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages\/2610\/revisions"}],"wp:attachment":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/media?parent=2610"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}