{"id":2603,"date":"2026-02-15T19:21:17","date_gmt":"2026-02-15T11:21:17","guid":{"rendered":"https:\/\/ai.ziyuanzz.online\/?page_id=2603"},"modified":"2026-03-28T09:37:12","modified_gmt":"2026-03-28T01:37:12","slug":"pytorch","status":"publish","type":"page","link":"https:\/\/ai.ziyuanzz.online\/index.php\/pytorch\/","title":{"rendered":"PyTorch"},"content":{"rendered":"
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\"\"<\/figure>\n<\/div>\n\n\n

PyTorch<\/h2>\n\n\n\n

\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u5e93<\/p>\n\n\n\n

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\u8bbf\u95ee\u5b98\u7f51 ><\/a><\/div>\n<\/div>\n\n\n\n
<\/div>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/div>\n\n\n\n

PyTorch\u662f\u4ec0\u4e48<\/h2>\n\n\n\n

PyTorch \u662f\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u4e3b\u8981\u7528\u5728\u6df1\u5ea6\u5b66\u4e60\u7814\u7a76\u548c\u5e94\u7528\u5f00\u53d1\uff0c\u4ee5\u7075\u6d3b\u6027\u3001\u6613\u7528\u6027\u548c\u5f3a\u5927\u7684 GPU \u52a0\u901f\u529f\u80fd\u800c\u95fb\u540d\u3002PyTorch \u63d0\u4f9b\u52a8\u6001\u8ba1\u7b97\u56fe\uff0c\u652f\u6301\u5f00\u53d1\u8005\u5728\u8fd0\u884c\u65f6\u52a8\u6001\u4fee\u6539\u6a21\u578b\u7ed3\u6784\uff0c\u975e\u5e38\u9002\u5408\u5feb\u901f\u5f00\u53d1\u548c\u5b9e\u9a8c\u3002PyTorch \u652f\u6301\u5f20\u91cf\u8ba1\u7b97\u3001\u81ea\u52a8\u5fae\u5206\uff08torch.autograd<\/code>\uff09\u548c\u6a21\u5757\u5316\u7684\u795e\u7ecf\u7f51\u7edc\u6784\u5efa\uff08torch.nn<\/code>\uff09\u3002PyTorch \u62e5\u6709\u4e30\u5bcc\u7684\u793e\u533a\u652f\u6301\u548c\u5927\u91cf\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u53ca\u6559\u7a0b\uff0c\u662f\u5b66\u672f\u754c\u548c\u5de5\u4e1a\u754c\u7684\u9996\u9009\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u4e4b\u4e00\u3002<\/p>\n\n\n\n

\"PyTorch\"<\/a><\/figure>\n\n\n\n

PyTorch\u7684\u4e3b\u8981\u529f\u80fd<\/h2>\n\n\n\n
    \n
  • \u5f20\u91cf\u8ba1\u7b97\uff08Tensor Computation\uff09<\/strong>\uff1a\u63d0\u4f9b\u7c7b\u4f3c NumPy \u7684\u591a\u7ef4\u6570\u7ec4\uff08\u5f20\u91cf\uff09\uff0c\u652f\u6301 GPU \u52a0\u901f\uff0c\u9ad8\u6548\u5904\u7406\u5927\u89c4\u6a21\u6570\u503c\u8ba1\u7b97\u3002<\/li>\n\n\n\n
  • \u81ea\u52a8\u5fae\u5206\uff08Automatic Differentiation\uff09<\/strong>\uff1a\u81ea\u52a8\u8ba1\u7b97\u795e\u7ecf\u7f51\u7edc\u4e2d\u53c2\u6570\u7684\u68af\u5ea6\uff0c\u652f\u6301\u52a8\u6001\u8ba1\u7b97\u56fe\uff0c\u4fbf\u4e8e\u7075\u6d3b\u5b9e\u9a8c\u3002<\/li>\n\n\n\n
  • \u795e\u7ecf\u7f51\u7edc\u6784\u5efa\uff08Neural Network Construction\uff09<\/strong>\uff1a\u63d0\u4f9b\u4e30\u5bcc\u7684\u795e\u7ecf\u7f51\u7edc\u7ec4\u4ef6\uff0c\u65b9\u4fbf\u7528\u6237\u5feb\u901f\u6784\u5efa\u548c\u5b9a\u5236\u590d\u6742\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/li>\n\n\n\n
  • \u4f18\u5316\u5668\uff08Optimizers\uff09<\/strong>\uff1a\u63d0\u4f9b\u591a\u79cd\u4f18\u5316\u7b97\u6cd5\uff08\u5982 SGD\u3001Adam \u7b49\uff09\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u9ad8\u6548\u66f4\u65b0\u6a21\u578b\u53c2\u6570\u3002<\/li>\n\n\n\n
  • \u635f\u5931\u51fd\u6570\uff08Loss Functions\uff09<\/strong>\uff1a\u5185\u7f6e\u591a\u79cd\u635f\u5931\u51fd\u6570\uff08\u5982 MSE\u3001CrossEntropyLoss \u7b49\uff09\uff0c\u7528\u5728\u8861\u91cf\u6a21\u578b\u8f93\u51fa\u4e0e\u771f\u5b9e\u6807\u7b7e\u4e4b\u95f4\u7684\u5dee\u8ddd\uff0c\u652f\u6301\u7075\u6d3b\u9009\u62e9\u3002<\/li>\n\n\n\n
  • \u6570\u636e\u52a0\u8f7d\u4e0e\u5904\u7406\uff08Data Loading and Processing\uff09<\/strong>\uff1a\u652f\u6301\u9ad8\u6548\u52a0\u8f7d\u548c\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\uff0c\u652f\u6301\u6279\u5904\u7406\u3001\u6570\u636e\u589e\u5f3a\u548c\u591a\u7ebf\u7a0b\u52a0\u8f7d\u3002<\/li>\n\n\n\n
  • \u6a21\u578b\u4fdd\u5b58\u4e0e\u52a0\u8f7d\uff08Model Saving and Loading\uff09<\/strong>\uff1a\u652f\u6301\u7528 torch.save \u548c torch.load \u4fdd\u5b58\u548c\u52a0\u8f7d\u6a21\u578b\u7684\u72b6\u6001\u5b57\u5178\uff08state_dict\uff09\uff0c\u65b9\u4fbf\u6a21\u578b\u7684\u6301\u4e45\u5316\u548c\u8fc1\u79fb\u3002<\/li>\n\n\n\n
  • \u5206\u5e03\u5f0f\u8bad\u7ec3\uff08Distributed Training\uff09<\/strong>\uff1a\u652f\u6301\u591a GPU \u548c\u591a\u673a\u5668\u5206\u5e03\u5f0f\u8bad\u7ec3\uff0c\u52a0\u901f\u5927\u89c4\u6a21\u6a21\u578b\u7684\u8bad\u7ec3\u8fc7\u7a0b\u3002<\/li>\n\n\n\n
  • \u6269\u5c55\u5e93\uff08Extension Libraries\uff09<\/strong>\uff1a\u63d0\u4f9b\u591a\u4e2a\u6269\u5c55\u5e93\uff08\u5982 TorchVision\u3001TorchAudio\u3001TorchText\uff09\uff0c\u5206\u522b\u9488\u5bf9\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u97f3\u9891\u5904\u7406\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u63d0\u4f9b\u6570\u636e\u96c6\u3001\u9884\u8bad\u7ec3\u6a21\u578b\u548c\u5de5\u5177\u3002<\/li>\n<\/ul>\n\n\n\n

    \u5982\u4f55\u4f7f\u7528PyTorch<\/h2>\n\n\n\n
      \n
    • \u5b89\u88c5 PyTorch<\/strong>\uff1a\n
        \n
      • \u8bbf\u95ee PyTorch \u5b98\u7f51<\/strong>\u3002<\/li>\n\n\n\n
      • \u9009\u62e9\u5b89\u88c5\u914d\u7f6e<\/strong>\uff1a\n
          \n
        • \u64cd\u4f5c\u7cfb\u7edf\uff0cWindows\u3001macOS \u6216 Linux\u3002<\/li>\n\n\n\n
        • \u5305\u7ba1\u7406\u5668\uff0cpip<\/code>\u00a0\u6216\u00a0conda<\/code>\u3002<\/li>\n\n\n\n
        • Python \u7248\u672c\u3002<\/li>\n\n\n\n
        • \u786c\u4ef6\uff0cCPU \u6216 GPU\uff08CUDA\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • \u4f7f\u7528\u751f\u6210\u7684\u547d\u4ee4\u5b89\u88c5 PyTorch \u53ca\u5176\u76f8\u5173\u5e93\uff08\u5982 torchvision \u548c torchaudio\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • \u521b\u5efa\u6570\u636e\u96c6<\/strong>\uff1a\n
            \n
          • \u4f7f\u7528 PyTorch \u63d0\u4f9b\u7684\u00a0Dataset<\/code>\u00a0\u7c7b\u5b9a\u4e49\u6570\u636e\u96c6\u3002\n
              \n
            • \u5b9e\u73b0\u00a0__init__<\/code>\u00a0\u65b9\u6cd5\u6765\u521d\u59cb\u5316\u6570\u636e\u548c\u6807\u7b7e\u3002<\/li>\n\n\n\n
            • \u5b9e\u73b0\u00a0__len__<\/code>\u00a0\u65b9\u6cd5\u6765\u8fd4\u56de\u6570\u636e\u96c6\u7684\u5927\u5c0f\u3002<\/li>\n\n\n\n
            • \u5b9e\u73b0\u00a0__getitem__<\/code>\u00a0\u65b9\u6cd5\u83b7\u53d6\u5355\u4e2a\u6570\u636e\u6837\u672c\u548c\u6807\u7b7e\u3002<\/li>\n\n\n\n
            • \u7528\u00a0DataLoader<\/code>\u00a0\u7c7b\u52a0\u8f7d\u6570\u636e\u96c6\uff0c\u652f\u6301\u6279\u91cf\u52a0\u8f7d\u3001\u6570\u636e\u6253\u4e71\u548c\u591a\u7ebf\u7a0b\u52a0\u8f7d\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n\n\n\n
            • \u5b9a\u4e49\u6a21\u578b<\/strong>\uff1a\n
                \n
              • \u901a\u8fc7\u7ee7\u627f\u00a0torch.nn.Module<\/code>\u00a0\u7c7b\u5b9a\u4e49\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/li>\n\n\n\n
              • \u5728\u00a0__init__<\/code>\u00a0\u65b9\u6cd5\u4e2d\u5b9a\u4e49\u6a21\u578b\u7684\u5404\u4e2a\u5c42\uff0c\u5982\u7ebf\u6027\u5c42\u3001\u6fc0\u6d3b\u51fd\u6570\u5c42\u7b49\u3002<\/li>\n\n\n\n
              • \u5728\u00a0forward<\/code>\u00a0\u65b9\u6cd5\u4e2d\u5b9a\u4e49\u6570\u636e\u5982\u4f55\u901a\u8fc7\u8fd9\u4e9b\u5c42\u8fdb\u884c\u524d\u5411\u4f20\u64ad\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
              • \u8bad\u7ec3\u6a21\u578b<\/strong>\uff1a\n
                  \n
                • \u5b9a\u4e49\u4e00\u4e2a\u635f\u5931\u51fd\u6570\uff0c\u5982\u4ea4\u53c9\u71b5\u635f\u5931\uff0c\u7528\u4e8e\u8861\u91cf\u6a21\u578b\u8f93\u51fa\u4e0e\u771f\u5b9e\u6807\u7b7e\u4e4b\u95f4\u7684\u5dee\u8ddd\u3002<\/li>\n\n\n\n
                • \u9009\u62e9\u4e00\u4e2a\u4f18\u5316\u5668\uff0c\u5982\u968f\u673a\u68af\u5ea6\u4e0b\u964d\uff08SGD\uff09\u6216 Adam\uff0c\u7528\u5728\u66f4\u65b0\u6a21\u578b\u7684\u53c2\u6570\u3002<\/li>\n\n\n\n
                • \u5728\u591a\u4e2a\u8bad\u7ec3\u5468\u671f\uff08epochs\uff09\u5185\uff0c\u5bf9\u6570\u636e\u8fdb\u884c\u8fed\u4ee3\u5904\u7406\uff1a\n
                    \n
                  • \u5bf9\u6bcf\u4e2a\u6279\u6b21\u7684\u6570\u636e\u8fdb\u884c\u524d\u5411\u4f20\u64ad\uff0c\u8ba1\u7b97\u635f\u5931\u503c\u3002<\/li>\n\n\n\n
                  • \u901a\u8fc7\u53cd\u5411\u4f20\u64ad\u8ba1\u7b97\u68af\u5ea6\uff0c\u5e76\u4f7f\u7528\u4f18\u5316\u5668\u66f4\u65b0\u6a21\u578b\u53c2\u6570\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                  • \u5728\u6bcf\u4e2a\u8bad\u7ec3\u5468\u671f\u7ed3\u675f\u540e\uff0c\u6253\u5370\u635f\u5931\u503c\u76d1\u63a7\u8bad\u7ec3\u8fc7\u7a0b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                      \n
                    • \u8bc4\u4f30\u6a21\u578b<\/strong>\uff1a\n
                        \n
                      • \u5728\u6d4b\u8bd5\u96c6\u4e0a\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\u3002<\/li>\n\n\n\n
                      • \u5c06\u6a21\u578b\u8bbe\u7f6e\u4e3a\u8bc4\u4f30\u6a21\u5f0f\uff0c\u5173\u95ed\u67d0\u4e9b\u7279\u5b9a\u4e8e\u8bad\u7ec3\u7684\u5c42\uff08\u5982 Dropout \u548c BatchNorm\uff09\u3002<\/li>\n\n\n\n
                      • \u4f7f\u7528\u00a0torch.no_grad()<\/code>\u00a0\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668\u6765\u5173\u95ed\u68af\u5ea6\u8ba1\u7b97\uff0c\u51cf\u5c11\u5185\u5b58\u6d88\u8017\u3001\u63d0\u9ad8\u8ba1\u7b97\u901f\u5ea6\u3002<\/li>\n\n\n\n
                      • \u5bf9\u6d4b\u8bd5\u6570\u636e\u8fdb\u884c\u524d\u5411\u4f20\u64ad\uff0c\u8ba1\u7b97\u6a21\u578b\u7684\u9884\u6d4b\u7ed3\u679c\uff0c\u4e0e\u771f\u5b9e\u6807\u7b7e\u8fdb\u884c\u6bd4\u8f83\uff0c\u8ba1\u7b97\u51c6\u786e\u7387\u7b49\u6027\u80fd\u6307\u6807\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                      • \u4fdd\u5b58\u548c\u52a0\u8f7d\u6a21\u578b<\/strong>\uff1a\n
                          \n
                        • \u4f7f\u7528\u00a0torch.save<\/code>\u00a0\u65b9\u6cd5\u4fdd\u5b58\u6a21\u578b\u7684\u72b6\u6001\u5b57\u5178\uff08state_dict<\/code>\uff09\uff0c\u5305\u542b\u6a21\u578b\u7684\u6240\u6709\u53c2\u6570\u548c\u7f13\u51b2\u533a\u3002<\/li>\n\n\n\n
                        • \u4f7f\u7528\u00a0torch.load<\/code>\u00a0\u65b9\u6cd5\u52a0\u8f7d\u4fdd\u5b58\u7684\u72b6\u6001\u5b57\u5178\uff0c\u5c06\u5176\u4f20\u9012\u7ed9\u6a21\u578b\u7684\u00a0load_state_dict<\/code>\u00a0\u65b9\u6cd5\uff0c\u6062\u590d\u6a21\u578b\u7684\u53c2\u6570\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n

                          PyTorch\u7684\u5e94\u7528\u573a\u666f<\/h2>\n\n\n\n
                            \n
                          • \u8ba1\u7b97\u673a\u89c6\u89c9\uff08Computer Vision\uff09<\/strong>\uff1a\u7528\u5728\u56fe\u50cf\u5206\u7c7b\u3001\u76ee\u6807\u68c0\u6d4b\u3001\u56fe\u50cf\u5206\u5272\u548c\u751f\u6210\uff0c\u652f\u6301\u591a\u79cd\u9884\u8bad\u7ec3\u6a21\u578b\u548c\u67b6\u6784\uff0c\u5982 ResNet\u3001YOLO \u548c GAN\u3002<\/li>\n\n\n\n
                          • \u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08Natural Language Processing, NLP\uff09<\/strong>\uff1a\u652f\u6301\u6587\u672c\u5206\u7c7b\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u95ee\u7b54\u7cfb\u7edf\u548c\u6587\u672c\u751f\u6210\uff0c\u5e7f\u6cdb\u5e94\u7528\u5728\u60c5\u611f\u5206\u6790\u3001\u8bed\u8a00\u6a21\u578b\u548c\u9884\u8bad\u7ec3\u6a21\u578b\uff08\u5982 BERT\uff09\u3002<\/li>\n\n\n\n
                          • \u8bed\u97f3\u8bc6\u522b\uff08Speech Recognition\uff09<\/strong>\uff1a\u5b9e\u73b0\u8bed\u97f3\u8f6c\u6587\u5b57\u3001\u8bed\u97f3\u5408\u6210\u548c\u8bed\u97f3\u60c5\u611f\u8bc6\u522b\uff0c\u652f\u6301 DeepSpeech \u548c Tacotron \u7b49\u6a21\u578b\u3002<\/li>\n\n\n\n
                          • \u63a8\u8350\u7cfb\u7edf\uff08Recommendation Systems\uff09<\/strong>\uff1a\u7528\u5728\u534f\u540c\u8fc7\u6ee4\u3001\u6df1\u5ea6\u63a8\u8350\u6a21\u578b\u548c\u591a\u6a21\u6001\u63a8\u8350\uff0c\u63d0\u5347\u4e2a\u6027\u5316\u63a8\u8350\u7684\u51c6\u786e\u6027\u548c\u6548\u7387\u3002<\/li>\n\n\n\n
                          • \u5f3a\u5316\u5b66\u4e60\uff08Reinforcement Learning\uff09<\/strong>\uff1a\u8bad\u7ec3\u667a\u80fd\u4f53\u73a9\u6e38\u620f\u3001\u63a7\u5236\u673a\u5668\u4eba\u548c\u81ea\u52a8\u9a7e\u9a76\uff0c\u652f\u6301 DQN\u3001PPO \u7b49\u7b97\u6cd5\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

                            PyTorch \u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u5e93 PyTorch\u662f\u4ec0\u4e48 PyTorch \u662f\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u4e3b\u8981\u7528\u5728\u6df1\u5ea6\u5b66\u4e60\u7814 […]<\/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-2603","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages\/2603","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=2603"}],"version-history":[{"count":0,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages\/2603\/revisions"}],"wp:attachment":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/media?parent=2603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}