{"id":478589,"date":"2023-08-09T09:35:23","date_gmt":"2023-08-09T09:35:23","guid":{"rendered":""},"modified":"2023-09-05T11:17:08","modified_gmt":"2023-09-05T11:17:08","slug":"pytorch-lightning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/in\/wiki\/pytorch-lightning\/","title":{"rendered":"\u092a\u093e\u092f\u091f\u094b\u0930\u091a \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917"},"content":{"rendered":"<p>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u092a\u094d\u0930\u0938\u093f\u0926\u094d\u0927 \u0921\u0940\u092a \u0932\u0930\u094d\u0928\u093f\u0902\u0917 \u092b\u094d\u0930\u0947\u092e\u0935\u0930\u094d\u0915 PyTorch \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0939\u0932\u094d\u0915\u093e \u0914\u0930 \u0905\u0924\u094d\u092f\u0927\u093f\u0915 \u0932\u091a\u0940\u0932\u093e \u0930\u0948\u092a\u0930 \u0939\u0948\u0964 \u092f\u0939 \u0932\u091a\u0940\u0932\u0947\u092a\u0928 \u0915\u093e \u0924\u094d\u092f\u093e\u0917 \u0915\u093f\u090f \u092c\u093f\u0928\u093e \u0915\u094b\u0921 \u0915\u094b \u0938\u0930\u0932 \u092c\u0928\u093e\u0924\u0947 \u0939\u0941\u090f, PyTorch \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0909\u091a\u094d\u091a-\u0938\u094d\u0924\u0930\u0940\u092f \u0907\u0902\u091f\u0930\u092b\u093c\u0947\u0938 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964 \u0915\u0908 \u092c\u0949\u092f\u0932\u0930\u092a\u094d\u0932\u0947\u091f \u0935\u093f\u0935\u0930\u0923\u094b\u0902 \u0915\u093e \u0927\u094d\u092f\u093e\u0928 \u0930\u0916\u0915\u0930, PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0936\u094b\u0927\u0915\u0930\u094d\u0924\u093e\u0913\u0902 \u0914\u0930 \u0907\u0902\u091c\u0940\u0928\u093f\u092f\u0930\u094b\u0902 \u0915\u094b \u0905\u092a\u0928\u0947 \u092e\u0949\u0921\u0932\u094b\u0902 \u092e\u0947\u0902 \u092e\u0941\u0916\u094d\u092f \u0935\u093f\u091a\u093e\u0930\u094b\u0902 \u0914\u0930 \u0905\u0935\u0927\u093e\u0930\u0923\u093e\u0913\u0902 \u092a\u0930 \u0927\u094d\u092f\u093e\u0928 \u0915\u0947\u0902\u0926\u094d\u0930\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u0926\u0947\u0924\u093e \u0939\u0948\u0964<\/p>\n<h2>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u0940 \u0909\u0924\u094d\u092a\u0924\u094d\u0924\u093f \u0915\u093e \u0907\u0924\u093f\u0939\u093e\u0938 \u0914\u0930 \u0907\u0938\u0915\u093e \u092a\u0939\u0932\u093e \u0909\u0932\u094d\u0932\u0947\u0916<\/h2>\n<p>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u0940 \u0936\u0941\u0930\u0941\u0906\u0924 \u0935\u093f\u0932\u093f\u092f\u092e \u092b\u093e\u0932\u094d\u0915\u0928 \u0928\u0947 \u0905\u092a\u0928\u0940 \u092a\u0940\u090f\u091a.\u0921\u0940. \u0915\u0947 \u0926\u094c\u0930\u093e\u0928 \u0915\u0940 \u0925\u0940\u0964 \u0928\u094d\u092f\u0942\u092f\u0949\u0930\u094d\u0915 \u0935\u093f\u0936\u094d\u0935\u0935\u093f\u0926\u094d\u092f\u093e\u0932\u092f \u092e\u0947\u0902. \u092a\u094d\u0930\u093e\u0925\u092e\u093f\u0915 \u092a\u094d\u0930\u0947\u0930\u0923\u093e \u0932\u091a\u0940\u0932\u0947\u092a\u0928 \u0914\u0930 \u0938\u094d\u0915\u0947\u0932\u0947\u092c\u093f\u0932\u093f\u091f\u0940 \u0915\u094b \u092c\u0928\u093e\u090f \u0930\u0916\u0924\u0947 \u0939\u0941\u090f \u0936\u0941\u0926\u094d\u0927 PyTorch \u092e\u0947\u0902 \u0906\u0935\u0936\u094d\u092f\u0915 \u0905\u0927\u093f\u0915\u093e\u0902\u0936 \u0926\u094b\u0939\u0930\u093e\u0935 \u0935\u093e\u0932\u0947 \u0915\u094b\u0921 \u0915\u094b \u0939\u091f\u093e\u0928\u093e \u0925\u093e\u0964 \u0936\u0941\u0930\u0941\u0906\u0924 \u092e\u0947\u0902 2019 \u092e\u0947\u0902 \u0930\u093f\u0932\u0940\u091c\u093c \u0939\u0941\u0908, PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0928\u0947 \u0905\u092a\u0928\u0940 \u0938\u093e\u0926\u0917\u0940 \u0914\u0930 \u092e\u091c\u092c\u0942\u0924\u0940 \u0915\u0947 \u0915\u093e\u0930\u0923 \u0917\u0939\u0928 \u0936\u093f\u0915\u094d\u0937\u0923 \u0938\u092e\u0941\u0926\u093e\u092f \u092e\u0947\u0902 \u0924\u0947\u091c\u0940 \u0938\u0947 \u0932\u094b\u0915\u092a\u094d\u0930\u093f\u092f\u0924\u093e \u0939\u093e\u0938\u093f\u0932 \u0915\u0940\u0964<\/p>\n<h2>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u0935\u093f\u0938\u094d\u0924\u0943\u0924 \u091c\u093e\u0928\u0915\u093e\u0930\u0940: \u0935\u093f\u0937\u092f \u0915\u093e \u0935\u093f\u0938\u094d\u0924\u093e\u0930<\/h2>\n<p>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0907\u0902\u091c\u0940\u0928\u093f\u092f\u0930\u093f\u0902\u0917 \u0938\u0947 \u0935\u093f\u091c\u094d\u091e\u093e\u0928 \u0915\u094b \u0905\u0932\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f PyTorch \u0915\u094b\u0921 \u0915\u0940 \u0938\u0902\u0930\u091a\u0928\u093e \u092a\u0930 \u0927\u094d\u092f\u093e\u0928 \u0915\u0947\u0902\u0926\u094d\u0930\u093f\u0924 \u0915\u0930\u0924\u0940 \u0939\u0948\u0964 \u0907\u0938\u0915\u0940 \u092e\u0941\u0916\u094d\u092f \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u0913\u0902 \u092e\u0947\u0902 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0902:<\/p>\n<ol>\n<li><strong>\u0906\u092f\u094b\u091c\u0928 \u0938\u0902\u0939\u093f\u0924\u093e<\/strong>: \u0905\u0928\u0941\u0938\u0902\u0927\u093e\u0928 \u0915\u094b\u0921 \u0915\u094b \u0907\u0902\u091c\u0940\u0928\u093f\u092f\u0930\u093f\u0902\u0917 \u0915\u094b\u0921 \u0938\u0947 \u0905\u0932\u0917 \u0915\u0930\u0924\u093e \u0939\u0948, \u091c\u093f\u0938\u0938\u0947 \u0907\u0938\u0947 \u0938\u092e\u091d\u0928\u093e \u0914\u0930 \u0938\u0902\u0936\u094b\u0927\u093f\u0924 \u0915\u0930\u0928\u093e \u0906\u0938\u093e\u0928 \u0939\u094b \u091c\u093e\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u0905\u0928\u0941\u092e\u093e\u092a\u0915\u0924\u093e<\/strong>: \u0915\u094b\u0921 \u092e\u0947\u0902 \u0915\u094b\u0908 \u092c\u0926\u0932\u093e\u0935 \u0915\u093f\u090f \u092c\u093f\u0928\u093e \u092e\u0949\u0921\u0932\u094b\u0902 \u0915\u094b \u0915\u0908 \u091c\u0940\u092a\u0940\u092f\u0942, \u091f\u0940\u092a\u0940\u092f\u0942 \u092f\u093e \u092f\u0939\u093e\u0902 \u0924\u0915 \u0915\u093f \u0915\u094d\u0932\u0938\u094d\u091f\u0930 \u092a\u0930 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u0926\u0947\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u091f\u0942\u0932\u094d\u0938 \u0915\u0947 \u0938\u093e\u0925 \u090f\u0915\u0940\u0915\u0930\u0923<\/strong>: \u091f\u0947\u0928\u094d\u0938\u0930\u092c\u094b\u0930\u094d\u0921 \u0914\u0930 \u0928\u0947\u092a\u094d\u091a\u094d\u092f\u0942\u0928 \u091c\u0948\u0938\u0947 \u0932\u094b\u0915\u092a\u094d\u0930\u093f\u092f \u0932\u0949\u0917\u093f\u0902\u0917 \u0914\u0930 \u0935\u093f\u091c\u093c\u0941\u0905\u0932\u093e\u0907\u091c\u093c\u0947\u0936\u0928 \u091f\u0942\u0932 \u0915\u0947 \u0938\u093e\u0925 \u0915\u093e\u092e \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>reproducibility<\/strong>: \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u092a\u094d\u0930\u0915\u094d\u0930\u093f\u092f\u093e \u092e\u0947\u0902 \u092f\u093e\u0926\u0943\u091a\u094d\u091b\u093f\u0915\u0924\u093e \u092a\u0930 \u0928\u093f\u092f\u0902\u0924\u094d\u0930\u0923 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948, \u092f\u0939 \u0938\u0941\u0928\u093f\u0936\u094d\u091a\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948 \u0915\u093f \u092a\u0930\u093f\u0923\u093e\u092e\u094b\u0902 \u0915\u094b \u092a\u0941\u0928: \u092a\u094d\u0930\u0938\u094d\u0924\u0941\u0924 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/li>\n<\/ol>\n<h2>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u0940 \u0906\u0902\u0924\u0930\u093f\u0915 \u0938\u0902\u0930\u091a\u0928\u093e: \u092f\u0939 \u0915\u0948\u0938\u0947 \u0915\u093e\u092e \u0915\u0930\u0924\u0940 \u0939\u0948<\/h2>\n<p>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u0940 \u0905\u0935\u0927\u093e\u0930\u0923\u093e \u092a\u0930 \u0928\u093f\u0930\u094d\u092d\u0930 \u0915\u0930\u0924\u093e \u0939\u0948 <code data-no-translation=\"\">LightningModule<\/code>, \u091c\u094b PyTorch \u0915\u094b\u0921 \u0915\u094b 5 \u0916\u0902\u0921\u094b\u0902 \u092e\u0947\u0902 \u0935\u094d\u092f\u0935\u0938\u094d\u0925\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948:<\/p>\n<ol>\n<li><strong>\u0938\u0902\u0917\u0923\u0928\u093e (\u092b\u0949\u0930\u0935\u0930\u094d\u0921 \u092a\u093e\u0938)<\/strong><\/li>\n<li><strong>\u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u092a\u093e\u0936<\/strong><\/li>\n<li><strong>\u0938\u0924\u094d\u092f\u093e\u092a\u0928 \u0932\u0942\u092a<\/strong><\/li>\n<li><strong>\u091f\u0947\u0938\u094d\u091f \u0932\u0942\u092a<\/strong><\/li>\n<li><strong>\u0905\u0928\u0941\u0915\u0942\u0932\u0915<\/strong><\/li>\n<\/ol>\n<p>\u090f <code data-no-translation=\"\">Trainer<\/code> \u0911\u092c\u094d\u091c\u0947\u0915\u094d\u091f \u0915\u093e \u0909\u092a\u092f\u094b\u0917 a \u0915\u094b \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u093f\u092f\u093e \u091c\u093e\u0924\u093e \u0939\u0948 <code data-no-translation=\"\">LightningModule<\/code>. \u092f\u0939 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0932\u0942\u092a \u0915\u094b \u0938\u092e\u093e\u0939\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948, \u0914\u0930 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0949\u0928\u094d\u092b\u093c\u093f\u0917\u0930\u0947\u0936\u0928 \u0915\u094b \u0907\u0938\u092e\u0947\u0902 \u092a\u093e\u0930\u093f\u0924 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0932\u0942\u092a \u0938\u094d\u0935\u091a\u093e\u0932\u093f\u0924 \u0939\u0948, \u091c\u093f\u0938\u0938\u0947 \u0921\u0947\u0935\u0932\u092a\u0930 \u0915\u094b \u092e\u0949\u0921\u0932 \u0915\u0947 \u092e\u0942\u0932 \u0924\u0930\u094d\u0915 \u092a\u0930 \u0927\u094d\u092f\u093e\u0928 \u0915\u0947\u0902\u0926\u094d\u0930\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u092e\u093f\u0932\u0924\u0940 \u0939\u0948\u0964<\/p>\n<h2>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u0940 \u092a\u094d\u0930\u092e\u0941\u0916 \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u0913\u0902 \u0915\u093e \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923<\/h2>\n<p>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u0940 \u092a\u094d\u0930\u092e\u0941\u0916 \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u0913\u0902 \u092e\u0947\u0902 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0902:<\/p>\n<ul>\n<li><strong>\u0915\u094b\u0921 \u0938\u0930\u0932\u0924\u093e<\/strong>: \u092c\u0949\u092f\u0932\u0930\u092a\u094d\u0932\u0947\u091f \u0915\u094b\u0921 \u0915\u094b \u0939\u091f\u093e \u0926\u0947\u0924\u093e \u0939\u0948, \u091c\u093f\u0938\u0938\u0947 \u0905\u0927\u093f\u0915 \u092a\u0920\u0928\u0940\u092f \u0914\u0930 \u0930\u0916\u0930\u0916\u093e\u0935 \u092f\u094b\u0917\u094d\u092f \u0915\u094b\u0921\u092c\u0947\u0938 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u092e\u093f\u0932\u0924\u0940 \u0939\u0948\u0964<\/li>\n<li><strong>\u0905\u0928\u0941\u092e\u093e\u092a\u0915\u0924\u093e<\/strong>: \u0905\u0928\u0941\u0938\u0902\u0927\u093e\u0928 \u0938\u0947 \u0932\u0947\u0915\u0930 \u0909\u0924\u094d\u092a\u093e\u0926\u0928 \u0924\u0915, \u092f\u0939 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0939\u093e\u0930\u094d\u0921\u0935\u0947\u092f\u0930 \u092e\u0947\u0902 \u0938\u094d\u0915\u0947\u0932\u0947\u092c\u093f\u0932\u093f\u091f\u0940 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>reproducibility<\/strong>: \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0930\u0928\u094b\u0902 \u092e\u0947\u0902 \u0932\u0917\u093e\u0924\u093e\u0930 \u092a\u0930\u093f\u0923\u093e\u092e \u0938\u0941\u0928\u093f\u0936\u094d\u091a\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>FLEXIBILITY<\/strong>: \u0915\u0908 \u092a\u0939\u0932\u0941\u0913\u0902 \u0915\u094b \u0938\u0930\u0932 \u092c\u0928\u093e\u0924\u0947 \u0939\u0941\u090f, \u092f\u0939 \u0936\u0941\u0926\u094d\u0927 PyTorch \u0915\u0947 \u0932\u091a\u0940\u0932\u0947\u092a\u0928 \u0915\u094b \u092c\u0930\u0915\u0930\u093e\u0930 \u0930\u0916\u0924\u093e \u0939\u0948\u0964<\/li>\n<\/ul>\n<h2>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u0947 \u092a\u094d\u0930\u0915\u093e\u0930<\/h2>\n<p>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u094b \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u092a\u0930\u093f\u0926\u0943\u0936\u094d\u092f\u094b\u0902 \u092e\u0947\u0902 \u0907\u0938\u0915\u0940 \u0909\u092a\u092f\u094b\u0917\u093f\u0924\u093e \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930 \u0935\u0930\u094d\u0917\u0940\u0915\u0943\u0924 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948:<\/p>\n<table>\n<thead>\n<tr>\n<th><strong>\u092a\u094d\u0930\u0915\u093e\u0930<\/strong><\/th>\n<th><strong>\u0935\u093f\u0935\u0930\u0923<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0905\u0928\u0941\u0938\u0902\u0927\u093e\u0928 \u090f\u0935\u0902 \u0935\u093f\u0915\u093e\u0938<\/td>\n<td>\u092a\u094d\u0930\u094b\u091f\u094b\u091f\u093e\u0907\u092a\u093f\u0902\u0917 \u0914\u0930 \u0905\u0928\u0941\u0938\u0902\u0927\u093e\u0928 \u092a\u0930\u093f\u092f\u094b\u091c\u0928\u093e\u0913\u0902 \u0915\u0947 \u0932\u093f\u090f \u0909\u092a\u092f\u0941\u0915\u094d\u0924<\/td>\n<\/tr>\n<tr>\n<td>\u0909\u0924\u094d\u092a\u093e\u0926\u0928 \u092a\u0930\u093f\u0928\u093f\u092f\u094b\u091c\u0928<\/td>\n<td>\u0909\u0924\u094d\u092a\u093e\u0926\u0928 \u092a\u094d\u0930\u0923\u093e\u0932\u093f\u092f\u094b\u0902 \u092e\u0947\u0902 \u090f\u0915\u0940\u0915\u0930\u0923 \u0915\u0947 \u0932\u093f\u090f \u0924\u0948\u092f\u093e\u0930<\/td>\n<\/tr>\n<tr>\n<td>\u0936\u0948\u0915\u094d\u0937\u093f\u0915 \u0909\u0926\u094d\u0926\u0947\u0936\u094d\u092f<\/td>\n<td>\u0917\u0939\u0928 \u0936\u093f\u0915\u094d\u0937\u0923 \u0905\u0935\u0927\u093e\u0930\u0923\u093e\u0913\u0902 \u0915\u094b \u092a\u0922\u093c\u093e\u0928\u0947 \u092e\u0947\u0902 \u0909\u092a\u092f\u094b\u0917 \u0915\u093f\u092f\u093e \u091c\u093e\u0924\u093e \u0939\u0948<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0924\u0930\u0940\u0915\u0947, \u0938\u092e\u0938\u094d\u092f\u093e\u090f\u0902 \u0914\u0930 \u0909\u0928\u0915\u0947 \u0938\u092e\u093e\u0927\u093e\u0928<\/h2>\n<p>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0924\u0930\u0940\u0915\u094b\u0902 \u092e\u0947\u0902 \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0902:<\/p>\n<ul>\n<li><strong>\u0905\u0928\u0941\u0938\u0902\u0927\u093e\u0928<\/strong>: \u092e\u0949\u0921\u0932\u094b\u0902 \u0915\u093e \u0924\u0940\u0935\u094d\u0930 \u092a\u094d\u0930\u094b\u091f\u094b\u091f\u093e\u0907\u092a\u0964<\/li>\n<li><strong>\u0936\u093f\u0915\u094d\u0937\u0923<\/strong>: \u0928\u0935\u093e\u0917\u0902\u0924\u0941\u0915\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0938\u0940\u0916\u0928\u0947 \u0915\u0940 \u092a\u094d\u0930\u0915\u094d\u0930\u093f\u092f\u093e \u0915\u094b \u0938\u0930\u0932 \u092c\u0928\u093e\u0928\u093e\u0964<\/li>\n<li><strong>\u0909\u0924\u094d\u092a\u093e\u0926\u0928<\/strong>: \u0905\u0928\u0941\u0938\u0902\u0927\u093e\u0928 \u0938\u0947 \u0924\u0948\u0928\u093e\u0924\u0940 \u0924\u0915 \u0928\u093f\u0930\u094d\u092c\u093e\u0927 \u092a\u0930\u093f\u0935\u0930\u094d\u0924\u0928\u0964<\/li>\n<\/ul>\n<p>\u0938\u092e\u0938\u094d\u092f\u093e\u0913\u0902 \u0914\u0930 \u0938\u092e\u093e\u0927\u093e\u0928\u094b\u0902 \u092e\u0947\u0902 \u0936\u093e\u092e\u093f\u0932 \u0939\u094b \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/p>\n<ul>\n<li><strong>\u0913\u0935\u0930\u092b\u093f\u091f\u093f\u0902\u0917<\/strong>: \u0936\u0940\u0918\u094d\u0930 \u0930\u094b\u0915 \u092f\u093e \u0928\u093f\u092f\u092e\u093f\u0924\u0940\u0915\u0930\u0923 \u0938\u0947 \u0938\u092e\u093e\u0927\u093e\u0928\u0964<\/li>\n<li><strong>\u0924\u0948\u0928\u093e\u0924\u0940 \u092e\u0947\u0902 \u091c\u091f\u093f\u0932\u0924\u093e<\/strong>: \u0921\u0949\u0915\u0930 \u091c\u0948\u0938\u0947 \u0909\u092a\u0915\u0930\u0923\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0915\u0902\u091f\u0947\u0928\u0930\u0940\u0915\u0930\u0923\u0964<\/li>\n<\/ul>\n<h2>\u092e\u0941\u0916\u094d\u092f \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u090f\u0901 \u0914\u0930 \u0938\u092e\u093e\u0928 \u0909\u092a\u0915\u0930\u0923\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0905\u0928\u094d\u092f \u0924\u0941\u0932\u0928\u093e\u090f\u0901<\/h2>\n<table>\n<thead>\n<tr>\n<th><strong>\u0935\u093f\u0936\u0947\u0937\u0924\u093e<\/strong><\/th>\n<th><strong>\u092a\u093e\u092f\u091f\u094b\u0930\u091a \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917<\/strong><\/th>\n<th><strong>\u0936\u0941\u0926\u094d\u0927 \u092a\u093e\u092f\u091f\u094b\u0930\u091a<\/strong><\/th>\n<th><strong>\u091f\u0947\u0902\u0938\u0930\u092b\u093c\u094d\u0932\u094b<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0938\u093e\u0926\u0917\u0940<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<td>\u092e\u0927\u094d\u092f\u092e<\/td>\n<td>\u0915\u092e<\/td>\n<\/tr>\n<tr>\n<td>\u0905\u0928\u0941\u092e\u093e\u092a\u0915\u0924\u093e<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<td>\u092e\u0927\u094d\u092f\u092e<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<\/tr>\n<tr>\n<td>FLEXIBILITY<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<td>\u092e\u0927\u094d\u092f\u092e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0938\u0947 \u0938\u0902\u092c\u0902\u0927\u093f\u0924 \u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0947 \u092a\u0930\u093f\u092a\u094d\u0930\u0947\u0915\u094d\u0937\u094d\u092f \u0914\u0930 \u092a\u094d\u0930\u094c\u0926\u094d\u092f\u094b\u0917\u093f\u0915\u093f\u092f\u093e\u0901<\/h2>\n<p>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u093e \u0935\u093f\u0915\u093e\u0938 \u091c\u093e\u0930\u0940 \u0939\u0948, \u091c\u0948\u0938\u0947 \u0915\u094d\u0937\u0947\u0924\u094d\u0930\u094b\u0902 \u092e\u0947\u0902 \u0935\u093f\u0915\u093e\u0938 \u091c\u093e\u0930\u0940 \u0939\u0948:<\/p>\n<ul>\n<li><strong>\u0928\u092f\u0947 \u0939\u093e\u0930\u094d\u0921\u0935\u0947\u092f\u0930 \u0915\u0947 \u0938\u093e\u0925 \u090f\u0915\u0940\u0915\u0930\u0923<\/strong>: \u0928\u0935\u0940\u0928\u0924\u092e \u091c\u0940\u092a\u0940\u092f\u0942 \u0914\u0930 \u091f\u0940\u092a\u0940\u092f\u0942 \u0915\u094b \u0905\u092a\u0928\u093e\u0928\u093e\u0964<\/li>\n<li><strong>\u0905\u0928\u094d\u092f \u092a\u0941\u0938\u094d\u0924\u0915\u093e\u0932\u092f\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0938\u0939\u092f\u094b\u0917<\/strong>: \u0905\u0928\u094d\u092f \u0917\u0939\u0928 \u0936\u093f\u0915\u094d\u0937\u0923 \u0909\u092a\u0915\u0930\u0923\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0928\u093f\u0930\u094d\u092c\u093e\u0927 \u090f\u0915\u0940\u0915\u0930\u0923\u0964<\/li>\n<li><strong>\u0938\u094d\u0935\u091a\u093e\u0932\u093f\u0924 \u0939\u093e\u0907\u092a\u0930\u092a\u0948\u0930\u093e\u092e\u0940\u091f\u0930 \u091f\u094d\u092f\u0942\u0928\u093f\u0902\u0917<\/strong>: \u092e\u0949\u0921\u0932 \u092e\u093e\u092a\u0926\u0902\u0921\u094b\u0902 \u0915\u0947 \u0906\u0938\u093e\u0928 \u0905\u0928\u0941\u0915\u0942\u0932\u0928 \u0915\u0947 \u0932\u093f\u090f \u0909\u092a\u0915\u0930\u0923\u0964<\/li>\n<\/ul>\n<h2>\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948 \u092f\u093e PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0915\u0947 \u0938\u093e\u0925 \u0915\u0948\u0938\u0947 \u0938\u0902\u092c\u0926\u094d\u0927 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948<\/h2>\n<p>OneProxy \u0926\u094d\u0935\u093e\u0930\u093e \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u093f\u090f \u0917\u090f \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u092e\u0947\u0902 \u0938\u0939\u093e\u092f\u0915 \u0939\u094b \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/p>\n<ul>\n<li><strong>\u0938\u0941\u0930\u0915\u094d\u0937\u093f\u0924 \u0921\u0947\u091f\u093e \u0938\u094d\u0925\u093e\u0928\u093e\u0902\u0924\u0930\u0923 \u0938\u0941\u0928\u093f\u0936\u094d\u091a\u093f\u0924 \u0915\u0930\u0928\u093e<\/strong>: \u0915\u0908 \u0938\u094d\u0925\u093e\u0928\u094b\u0902 \u092a\u0930 \u0935\u093f\u0924\u0930\u093f\u0924 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0947 \u0926\u094c\u0930\u093e\u0928\u0964<\/li>\n<li><strong>\u0938\u0939\u092f\u094b\u0917 \u092c\u0922\u093c\u093e\u0928\u093e<\/strong>: \u0938\u093e\u091d\u093e \u092a\u0930\u093f\u092f\u094b\u091c\u0928\u093e\u0913\u0902 \u092a\u0930 \u0915\u093e\u092e \u0915\u0930 \u0930\u0939\u0947 \u0936\u094b\u0927\u0915\u0930\u094d\u0924\u093e\u0913\u0902 \u0915\u0947 \u092c\u0940\u091a \u0938\u0941\u0930\u0915\u094d\u0937\u093f\u0924 \u0915\u0928\u0947\u0915\u094d\u0936\u0928 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0915\u0947\u0964<\/li>\n<li><strong>\u0921\u0947\u091f\u093e \u090f\u0915\u094d\u0938\u0947\u0938 \u0915\u093e \u092a\u094d\u0930\u092c\u0902\u0927\u0928<\/strong>: \u0938\u0902\u0935\u0947\u0926\u0928\u0936\u0940\u0932 \u0921\u0947\u091f\u093e\u0938\u0947\u091f \u0924\u0915 \u092a\u0939\u0941\u0902\u091a \u0915\u094b \u0928\u093f\u092f\u0902\u0924\u094d\u0930\u093f\u0924 \u0915\u0930\u0928\u093e\u0964<\/li>\n<\/ul>\n<h2>\u0938\u092e\u094d\u092c\u0902\u0927\u093f\u0924 \u0932\u093f\u0902\u0915\u094d\u0938<\/h2>\n<ul>\n<li>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u0906\u0927\u093f\u0915\u093e\u0930\u093f\u0915 \u0935\u0947\u092c\u0938\u093e\u0907\u091f: <a href=\"https:\/\/www.pytorchlightning.ai\/\" target=\"_new\" rel=\"noopener nofollow\">pytorchlightning.ai<\/a><\/li>\n<li>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 GitHub \u0930\u093f\u092a\u094b\u091c\u093f\u091f\u0930\u0940: <a href=\"https:\/\/github.com\/PyTorchLightning\/pytorch-lightning\" target=\"_new\" rel=\"noopener nofollow\">GitHub<\/a><\/li>\n<li>\u0935\u0928\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0906\u0927\u093f\u0915\u093e\u0930\u093f\u0915 \u0935\u0947\u092c\u0938\u093e\u0907\u091f: <a href=\"https:\/\/oneproxy.pro\/in\/\" target=\"_new\" rel=\"noopener\">oneproxy.pro<\/a><\/li>\n<\/ul>\n<p>PyTorch \u0932\u093e\u0907\u091f\u0928\u093f\u0902\u0917 \u090f\u0915 \u0917\u0924\u093f\u0936\u0940\u0932 \u0914\u0930 \u0932\u091a\u0940\u0932\u093e \u0909\u092a\u0915\u0930\u0923 \u0939\u0948 \u091c\u094b \u0936\u094b\u0927\u0915\u0930\u094d\u0924\u093e\u0913\u0902 \u0914\u0930 \u0907\u0902\u091c\u0940\u0928\u093f\u092f\u0930\u094b\u0902 \u0915\u0947 \u0917\u0939\u0928 \u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0947 \u0926\u0943\u0937\u094d\u091f\u093f\u0915\u094b\u0923 \u092e\u0947\u0902 \u0915\u094d\u0930\u093e\u0902\u0924\u093f\u0915\u093e\u0930\u0940 \u092c\u0926\u0932\u093e\u0935 \u0932\u093e \u0930\u0939\u093e \u0939\u0948\u0964 \u0915\u094b\u0921 \u0938\u0930\u0932\u0924\u093e \u0914\u0930 \u0938\u094d\u0915\u0947\u0932\u0947\u092c\u093f\u0932\u093f\u091f\u0940 \u091c\u0948\u0938\u0940 \u0938\u0941\u0935\u093f\u0927\u093e\u0913\u0902 \u0915\u0947 \u0938\u093e\u0925, \u092f\u0939 \u0905\u0928\u0941\u0938\u0902\u0927\u093e\u0928 \u0914\u0930 \u0909\u0924\u094d\u092a\u093e\u0926\u0928 \u0915\u0947 \u092c\u0940\u091a \u090f\u0915 \u0906\u0935\u0936\u094d\u092f\u0915 \u092a\u0941\u0932 \u0915\u0947 \u0930\u0942\u092a \u092e\u0947\u0902 \u0915\u093e\u0930\u094d\u092f \u0915\u0930\u0924\u093e \u0939\u0948, \u0914\u0930 OneProxy \u091c\u0948\u0938\u0940 \u0938\u0947\u0935\u093e\u0913\u0902 \u0915\u0947 \u0938\u093e\u0925, \u0938\u0902\u092d\u093e\u0935\u0928\u093e\u090f\u0902 \u0914\u0930 \u092d\u0940 \u092c\u0922\u093c \u091c\u093e\u0924\u0940 \u0939\u0948\u0902\u0964<\/p>","protected":false},"featured_media":469284,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478589","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>PyTorch Lightning: An Innovative Deep Learning Framework<\/mark>","faq_items":[{"question":"What is PyTorch Lightning?","answer":"<p>PyTorch Lightning is a lightweight and flexible wrapper for the PyTorch deep learning framework. It aims to simplify coding without losing flexibility and focuses on structuring PyTorch code, enabling scalability, reproducibility, and seamless integration with various tools.<\/p>"},{"question":"How was PyTorch Lightning originated?","answer":"<p>PyTorch Lightning was introduced by William Falcon during his Ph.D. at New York University in 2019. It was developed to remove repetitive code in PyTorch, allowing researchers and engineers to focus on core ideas and concepts.<\/p>"},{"question":"What are the key features of PyTorch Lightning?","answer":"<p>The key features of PyTorch Lightning include code simplicity, scalability across different hardware, reproducibility of results, and the flexibility to maintain complex structures, similar to pure PyTorch.<\/p>"},{"question":"How does PyTorch Lightning work internally?","answer":"<p>PyTorch Lightning relies on a <code>LightningModule<\/code> that organizes PyTorch code into specific sections like the forward pass, training, validation, and test loops, and optimizers. A <code>Trainer<\/code> object is used to automate the training loop, allowing developers to concentrate on core logic.<\/p>"},{"question":"What types of PyTorch Lightning exist?","answer":"<p>PyTorch Lightning can be categorized based on its usability in scenarios such as research development, production deployment, and educational purposes.<\/p>"},{"question":"How can PyTorch Lightning be used, and what problems might arise?","answer":"<p>PyTorch Lightning can be used for research, teaching, and production. Common problems might include overfitting, with solutions like early stopping or regularization, or complexities in deployment, which can be overcome through containerization.<\/p>"},{"question":"How does PyTorch Lightning compare to similar tools?","answer":"<p>PyTorch Lightning stands out for its simplicity, scalability, and flexibility when compared to other frameworks like pure PyTorch or TensorFlow.<\/p>"},{"question":"What are the future prospects for PyTorch Lightning?","answer":"<p>Future developments for PyTorch Lightning include integration with new hardware, collaboration with other deep learning tools, and automated hyperparameter tuning to optimize model parameters.<\/p>"},{"question":"How can proxy servers like OneProxy be used with PyTorch Lightning?","answer":"<p>Proxy servers such as OneProxy can ensure secure data transfer during distributed training, enhance collaboration between researchers, and manage access to sensitive datasets.<\/p>"},{"question":"Where can more information about PyTorch Lightning be found?","answer":"<p>More information about PyTorch Lightning can be found on its official website <a href=\"https:\/\/www.pytorchlightning.ai\/\" target=\"_new\">pytorchlightning.ai<\/a>, its GitHub repository, and through related services like OneProxy at <a href=\"https:\/\/oneproxy.pro\" target=\"_new\">oneproxy.pro<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/478589","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/478589\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media\/469284"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media?parent=478589"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}