{"id":478588,"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","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/in\/wiki\/pytorch\/","title":{"rendered":"\u092a\u093e\u092f\u091f\u094b\u0930\u091a"},"content":{"rendered":"<h2>PyTorch \u0915\u093e \u0938\u0902\u0915\u094d\u0937\u093f\u092a\u094d\u0924 \u092a\u0930\u093f\u091a\u092f<\/h2>\n<p>\u0917\u0939\u0928 \u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0947 \u0924\u0947\u091c\u0940 \u0938\u0947 \u0935\u093f\u0915\u0938\u093f\u0924 \u0939\u094b \u0930\u0939\u0947 \u0915\u094d\u0937\u0947\u0924\u094d\u0930 \u092e\u0947\u0902, PyTorch \u090f\u0915 \u0936\u0915\u094d\u0924\u093f\u0936\u093e\u0932\u0940 \u0914\u0930 \u092c\u0939\u0941\u092e\u0941\u0916\u0940 \u0922\u093e\u0902\u091a\u0947 \u0915\u0947 \u0930\u0942\u092a \u092e\u0947\u0902 \u0909\u092d\u0930\u093e \u0939\u0948 \u091c\u094b \u0936\u094b\u0927\u0915\u0930\u094d\u0924\u093e\u0913\u0902 \u0914\u0930 \u0921\u0947\u0935\u0932\u092a\u0930\u094d\u0938 \u0915\u0947 \u092e\u0936\u0940\u0928 \u0932\u0930\u094d\u0928\u093f\u0902\u0917 \u0915\u093e\u0930\u094d\u092f\u094b\u0902 \u0915\u0947 \u0924\u0930\u0940\u0915\u0947 \u0915\u094b \u0928\u092f\u093e \u0906\u0915\u093e\u0930 \u0926\u0947 \u0930\u0939\u093e \u0939\u0948\u0964 PyTorch \u090f\u0915 \u0913\u092a\u0928-\u0938\u094b\u0930\u094d\u0938 \u092e\u0936\u0940\u0928 \u0932\u0930\u094d\u0928\u093f\u0902\u0917 \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940 \u0939\u0948 \u091c\u094b \u0924\u0902\u0924\u094d\u0930\u093f\u0915\u093e \u0928\u0947\u091f\u0935\u0930\u094d\u0915 \u0915\u0947 \u0928\u093f\u0930\u094d\u092e\u093e\u0923 \u0914\u0930 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0932\u091a\u0940\u0932\u093e \u0914\u0930 \u0917\u0924\u093f\u0936\u0940\u0932 \u0926\u0943\u0937\u094d\u091f\u093f\u0915\u094b\u0923 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u0940 \u0939\u0948\u0964 \u092f\u0939 \u0932\u0947\u0916 PyTorch \u0915\u0947 \u0907\u0924\u093f\u0939\u093e\u0938, \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u0913\u0902, \u092a\u094d\u0930\u0915\u093e\u0930\u094b\u0902, \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u0914\u0930 \u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0940 \u0938\u0902\u092d\u093e\u0935\u0928\u093e\u0913\u0902 \u092a\u0930 \u092a\u094d\u0930\u0915\u093e\u0936 \u0921\u093e\u0932\u0924\u093e \u0939\u0948 \u0914\u0930 \u092a\u0924\u093e \u0932\u0917\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0907\u0938\u0915\u0940 \u0915\u093e\u0930\u094d\u092f\u0915\u094d\u0937\u092e\u0924\u093e \u0915\u094b \u0915\u0948\u0938\u0947 \u092a\u0942\u0930\u0915 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/p>\n<h2>PyTorch \u0915\u0940 \u0909\u0924\u094d\u092a\u0924\u094d\u0924\u093f<\/h2>\n<p>PyTorch \u0915\u0940 \u0909\u0924\u094d\u092a\u0924\u094d\u0924\u093f \u091f\u0949\u0930\u094d\u091a \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940 \u0938\u0947 \u0939\u0941\u0908 \u0939\u0948, \u091c\u093f\u0938\u0947 \u0936\u0941\u0930\u0941\u0906\u0924 \u092e\u0947\u0902 2000 \u0915\u0947 \u0926\u0936\u0915 \u0915\u0940 \u0936\u0941\u0930\u0941\u0906\u0924 \u092e\u0947\u0902 \u092e\u0949\u0928\u094d\u091f\u094d\u0930\u093f\u092f\u0932 \u0935\u093f\u0936\u094d\u0935\u0935\u093f\u0926\u094d\u092f\u093e\u0932\u092f \u092e\u0947\u0902 \u0930\u094b\u0928\u0928 \u0915\u094b\u0932\u094b\u092c\u0930\u094d\u091f \u0914\u0930 \u0909\u0928\u0915\u0940 \u091f\u0940\u092e \u0926\u094d\u0935\u093e\u0930\u093e \u0935\u093f\u0915\u0938\u093f\u0924 \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0925\u093e\u0964 \u0939\u093e\u0932\u093e\u0901\u0915\u093f, PyTorch \u0915\u0947 \u0914\u092a\u091a\u093e\u0930\u093f\u0915 \u091c\u0928\u094d\u092e \u0915\u093e \u0936\u094d\u0930\u0947\u092f Facebook \u0915\u0940 AI \u0930\u093f\u0938\u0930\u094d\u091a \u0932\u0948\u092c (FAIR) \u0915\u094b \u0926\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948, \u091c\u093f\u0938\u0928\u0947 2016 \u092e\u0947\u0902 PyTorch \u091c\u093e\u0930\u0940 \u0915\u093f\u092f\u093e \u0925\u093e\u0964 \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940 \u0928\u0947 \u0905\u092a\u0928\u0947 \u0938\u0939\u091c \u0921\u093f\u091c\u093e\u0907\u0928 \u0914\u0930 \u0917\u0924\u093f\u0936\u0940\u0932 \u0917\u0923\u0928\u093e \u0917\u094d\u0930\u093e\u092b \u0915\u0947 \u0915\u093e\u0930\u0923 \u0924\u0947\u091c\u0940 \u0938\u0947 \u0932\u094b\u0915\u092a\u094d\u0930\u093f\u092f\u0924\u093e \u0939\u093e\u0938\u093f\u0932 \u0915\u0940, \u091c\u093f\u0938\u0928\u0947 \u0907\u0938\u0947 \u0905\u0928\u094d\u092f \u0917\u0939\u0928 \u0936\u093f\u0915\u094d\u0937\u0923 \u0922\u093e\u0902\u091a\u0947 \u0938\u0947 \u0905\u0932\u0917 \u0915\u0930 \u0926\u093f\u092f\u093e\u0964 \u091f\u0947\u0902\u0938\u0930\u092b\u093c\u094d\u0932\u094b\u0964 \u092f\u0939 \u0917\u0924\u093f\u0936\u0940\u0932 \u0917\u094d\u0930\u093e\u092b\u093c \u0928\u093f\u0930\u094d\u092e\u093e\u0923 \u092e\u0949\u0921\u0932 \u0935\u093f\u0915\u093e\u0938 \u0914\u0930 \u0921\u093f\u092c\u0917\u093f\u0902\u0917 \u092e\u0947\u0902 \u0905\u0927\u093f\u0915 \u0932\u091a\u0940\u0932\u0947\u092a\u0928 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u0926\u0947\u0924\u093e \u0939\u0948\u0964<\/p>\n<h2>PyTorch \u0915\u094b \u0938\u092e\u091d\u0928\u093e<\/h2>\n<p>PyTorch \u0905\u092a\u0928\u0940 \u0938\u093e\u0926\u0917\u0940 \u0914\u0930 \u0909\u092a\u092f\u094b\u0917 \u092e\u0947\u0902 \u0906\u0938\u093e\u0928\u0940 \u0915\u0947 \u0932\u093f\u090f \u092a\u094d\u0930\u0938\u093f\u0926\u094d\u0927 \u0939\u0948\u0964 \u092f\u0939 \u090f\u0915 \u092a\u093e\u092f\u0925\u094b\u0928\u093f\u0915 \u0907\u0902\u091f\u0930\u092b\u093c\u0947\u0938 \u0915\u094b \u0928\u093f\u092f\u094b\u091c\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948 \u091c\u094b \u0924\u0902\u0924\u094d\u0930\u093f\u0915\u093e \u0928\u0947\u091f\u0935\u0930\u094d\u0915 \u0915\u0947 \u0928\u093f\u0930\u094d\u092e\u093e\u0923 \u0914\u0930 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0940 \u092a\u094d\u0930\u0915\u094d\u0930\u093f\u092f\u093e \u0915\u094b \u0938\u0930\u0932 \u092c\u0928\u093e\u0924\u093e \u0939\u0948\u0964 PyTorch \u0915\u093e \u092e\u0942\u0932 \u0907\u0938\u0915\u0940 \u091f\u0947\u0902\u0938\u0930 \u0917\u0923\u0928\u093e \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940 \u0939\u0948, \u091c\u094b NumPy \u0938\u0930\u0923\u093f\u092f\u094b\u0902 \u0915\u0947 \u0938\u092e\u093e\u0928 \u092c\u0939\u0941-\u0906\u092f\u093e\u092e\u0940 \u0938\u0930\u0923\u093f\u092f\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0938\u092e\u0930\u094d\u0925\u0928 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948, \u0932\u0947\u0915\u093f\u0928 \u0924\u0947\u091c\u093c \u0938\u0902\u0917\u0923\u0928\u093e \u0915\u0947 \u0932\u093f\u090f GPU \u0924\u094d\u0935\u0930\u0923 \u0915\u0947 \u0938\u093e\u0925\u0964 \u092f\u0939 \u092c\u0921\u093c\u0947 \u0921\u0947\u091f\u093e\u0938\u0947\u091f \u0914\u0930 \u091c\u091f\u093f\u0932 \u0917\u0923\u093f\u0924\u0940\u092f \u092a\u0930\u093f\u091a\u093e\u0932\u0928\u094b\u0902 \u0915\u0947 \u0915\u0941\u0936\u0932 \u0938\u0902\u091a\u093e\u0932\u0928 \u0915\u094b \u0938\u0915\u094d\u0937\u092e \u092c\u0928\u093e\u0924\u093e \u0939\u0948\u0964<\/p>\n<h2>PyTorch \u0915\u0940 \u0906\u0902\u0924\u0930\u093f\u0915 \u0938\u0902\u0930\u091a\u0928\u093e<\/h2>\n<p>PyTorch \u0917\u0924\u093f\u0936\u0940\u0932 \u0917\u0923\u0928\u093e \u0917\u094d\u0930\u093e\u092b\u093c \u0915\u0947 \u0938\u093f\u0926\u094d\u0927\u093e\u0902\u0924 \u092a\u0930 \u0915\u093e\u092e \u0915\u0930\u0924\u093e \u0939\u0948\u0964 \u0905\u0928\u094d\u092f \u092b\u094d\u0930\u0947\u092e\u0935\u0930\u094d\u0915 \u0926\u094d\u0935\u093e\u0930\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u093f\u090f \u091c\u093e\u0928\u0947 \u0935\u093e\u0932\u0947 \u0938\u094d\u0925\u0948\u0924\u093f\u0915 \u0917\u0923\u0928\u093e \u0917\u094d\u0930\u093e\u092b\u093c \u0915\u0947 \u0935\u093f\u092a\u0930\u0940\u0924, PyTorch \u0930\u0928\u091f\u093e\u0907\u092e \u0915\u0947 \u0926\u094c\u0930\u093e\u0928 \u0911\u0928-\u0926-\u092b\u094d\u0932\u093e\u0908 \u0917\u094d\u0930\u093e\u092b\u093c \u092c\u0928\u093e\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 \u0917\u0924\u093f\u0936\u0940\u0932 \u092a\u094d\u0930\u0915\u0943\u0924\u093f \u0917\u0924\u093f\u0936\u0940\u0932 \u0928\u093f\u092f\u0902\u0924\u094d\u0930\u0923 \u092a\u094d\u0930\u0935\u093e\u0939 \u0915\u094b \u0938\u0941\u0935\u093f\u0927\u093e\u091c\u0928\u0915 \u092c\u0928\u093e\u0924\u0940 \u0939\u0948, \u091c\u093f\u0938\u0938\u0947 \u091c\u091f\u093f\u0932 \u0906\u0930\u094d\u0915\u093f\u091f\u0947\u0915\u094d\u091a\u0930 \u0914\u0930 \u092e\u0949\u0921\u0932 \u0915\u094b \u0932\u093e\u0917\u0942 \u0915\u0930\u0928\u093e \u0906\u0938\u093e\u0928 \u0939\u094b \u091c\u093e\u0924\u093e \u0939\u0948 \u091c\u093f\u0938\u092e\u0947\u0902 \u0905\u0932\u0917-\u0905\u0932\u0917 \u0907\u0928\u092a\u0941\u091f \u0906\u0915\u093e\u0930 \u092f\u093e \u0938\u0936\u0930\u094d\u0924 \u0938\u0902\u091a\u093e\u0932\u0928 \u0936\u093e\u092e\u093f\u0932 \u0939\u094b\u0924\u0947 \u0939\u0948\u0902\u0964<\/p>\n<h2>PyTorch \u0915\u0940 \u092e\u0941\u0916\u094d\u092f \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u090f\u0902<\/h2>\n<ul>\n<li>\n<p><strong>\u0917\u0924\u093f\u0936\u0940\u0932 \u0938\u0902\u0917\u0923\u0928\u093e:<\/strong> PyTorch \u0915\u093e \u0917\u0924\u093f\u0936\u0940\u0932 \u0917\u0923\u0928\u093e \u0917\u094d\u0930\u093e\u092b\u093c \u092e\u0949\u0921\u0932\u094b\u0902 \u092e\u0947\u0902 \u0906\u0938\u093e\u0928 \u0921\u093f\u092c\u0917\u093f\u0902\u0917 \u0914\u0930 \u0917\u0924\u093f\u0936\u0940\u0932 \u0928\u093f\u092f\u0902\u0924\u094d\u0930\u0923 \u092a\u094d\u0930\u0935\u093e\u0939 \u0915\u094b \u0938\u0915\u094d\u0937\u092e \u092c\u0928\u093e\u0924\u093e \u0939\u0948\u0964<\/p>\n<\/li>\n<li>\n<p><strong>\u0911\u091f\u094b\u0917\u094d\u0930\u0948\u0921:<\/strong> PyTorch \u092e\u0947\u0902 \u0938\u094d\u0935\u091a\u093e\u0932\u093f\u0924 \u0935\u093f\u092d\u0947\u0926\u0928 \u0938\u0941\u0935\u093f\u0927\u093e, \u0907\u0938\u0915\u0947 \u092e\u093e\u0927\u094d\u092f\u092e \u0938\u0947 <code data-no-translation=\"\">autograd<\/code> \u092a\u0948\u0915\u0947\u091c, \u0917\u094d\u0930\u0947\u0921\u093f\u090f\u0902\u091f\u094d\u0938 \u0915\u0940 \u0917\u0923\u0928\u093e \u0915\u0930\u0924\u093e \u0939\u0948 \u0914\u0930 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0947 \u0932\u093f\u090f \u0915\u0941\u0936\u0932 \u092c\u0948\u0915\u092a\u094d\u0930\u094b\u092a\u0947\u0917\u0947\u0936\u0928 \u0915\u0940 \u0938\u0941\u0935\u093f\u0927\u093e \u0926\u0947\u0924\u093e \u0939\u0948\u0964<\/p>\n<\/li>\n<li>\n<p><strong>\u092e\u0949\u0921\u094d\u092f\u0942\u0932\u0930 \u0921\u093f\u091c\u093e\u0907\u0928:<\/strong> PyTorch \u090f\u0915 \u092e\u0949\u0921\u094d\u092f\u0942\u0932\u0930 \u0921\u093f\u091c\u093c\u093e\u0907\u0928 \u092a\u0930 \u092c\u0928\u093e\u092f\u093e \u0917\u092f\u093e \u0939\u0948, \u091c\u094b \u0909\u092a\u092f\u094b\u0917\u0915\u0930\u094d\u0924\u093e\u0913\u0902 \u0915\u094b \u092b\u094d\u0930\u0947\u092e\u0935\u0930\u094d\u0915 \u0915\u0947 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0918\u091f\u0915\u094b\u0902 \u0915\u094b \u0906\u0938\u093e\u0928\u0940 \u0938\u0947 \u0938\u0902\u0936\u094b\u0927\u093f\u0924, \u0935\u093f\u0938\u094d\u0924\u093e\u0930\u093f\u0924 \u0914\u0930 \u0938\u0902\u092f\u094b\u091c\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u0926\u0947\u0924\u093e \u0939\u0948\u0964<\/p>\n<\/li>\n<li>\n<p><strong>\u0924\u0902\u0924\u094d\u0930\u093f\u0915\u093e \u0928\u0947\u091f\u0935\u0930\u094d\u0915 \u092e\u0949\u0921\u094d\u092f\u0942\u0932:<\/strong> The <code data-no-translation=\"\">torch.nn<\/code> \u092e\u0949\u0921\u094d\u092f\u0942\u0932 \u091c\u091f\u093f\u0932 \u0924\u0902\u0924\u094d\u0930\u093f\u0915\u093e \u0928\u0947\u091f\u0935\u0930\u094d\u0915 \u0915\u0947 \u0928\u093f\u0930\u094d\u092e\u093e\u0923 \u0915\u0940 \u092a\u094d\u0930\u0915\u094d\u0930\u093f\u092f\u093e \u0915\u094b \u0938\u0930\u0932 \u092c\u0928\u093e\u0924\u0947 \u0939\u0941\u090f \u092a\u0942\u0930\u094d\u0935-\u0928\u093f\u0930\u094d\u092e\u093f\u0924 \u092a\u0930\u0924\u0947\u0902, \u0939\u093e\u0928\u093f \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0914\u0930 \u0905\u0928\u0941\u0915\u0942\u0932\u0928 \u090f\u0932\u094d\u0917\u094b\u0930\u093f\u0926\u092e \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/p>\n<\/li>\n<li>\n<p><strong>\u091c\u0940\u092a\u0940\u092f\u0942 \u0924\u094d\u0935\u0930\u0923:<\/strong> PyTorch \u0928\u093f\u0930\u094d\u092c\u093e\u0927 \u0930\u0942\u092a \u0938\u0947 GPU \u0915\u0947 \u0938\u093e\u0925 \u090f\u0915\u0940\u0915\u0943\u0924 \u0939\u094b\u0924\u093e \u0939\u0948, \u091c\u094b \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0914\u0930 \u0905\u0928\u0941\u092e\u093e\u0928 \u0915\u093e\u0930\u094d\u092f\u094b\u0902 \u0915\u094b \u0915\u093e\u092b\u0940 \u0917\u0924\u093f \u0926\u0947\u0924\u093e \u0939\u0948\u0964<\/p>\n<\/li>\n<\/ul>\n<h2>PyTorch \u0915\u0947 \u092a\u094d\u0930\u0915\u093e\u0930<\/h2>\n<p>PyTorch \u0926\u094b \u092a\u094d\u0930\u092e\u0941\u0916 \u0935\u093f\u0935\u093f\u0927\u0924\u093e\u0913\u0902 \u092e\u0947\u0902 \u0906\u0924\u093e \u0939\u0948:<\/p>\n<ol>\n<li>\n<p><strong>\u092a\u093e\u092f\u091f\u094b\u0930\u091a:<\/strong><\/p>\n<ul>\n<li>\u092a\u093e\u0930\u0902\u092a\u0930\u093f\u0915 PyTorch \u0932\u093e\u0907\u092c\u094d\u0930\u0947\u0930\u0940 \u0924\u0902\u0924\u094d\u0930\u093f\u0915\u093e \u0928\u0947\u091f\u0935\u0930\u094d\u0915 \u0915\u0947 \u0928\u093f\u0930\u094d\u092e\u093e\u0923 \u0914\u0930 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0938\u0939\u091c \u0907\u0902\u091f\u0930\u092b\u093c\u0947\u0938 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u0940 \u0939\u0948\u0964<\/li>\n<li>\u0909\u0928 \u0936\u094b\u0927\u0915\u0930\u094d\u0924\u093e\u0913\u0902 \u0914\u0930 \u0921\u0947\u0935\u0932\u092a\u0930\u094d\u0938 \u0915\u0947 \u0932\u093f\u090f \u0909\u092a\u092f\u0941\u0915\u094d\u0924 \u091c\u094b \u0917\u0924\u093f\u0936\u0940\u0932 \u0917\u0923\u0928\u093e \u0917\u094d\u0930\u093e\u092b\u093c \u092a\u0938\u0902\u0926 \u0915\u0930\u0924\u0947 \u0939\u0948\u0902\u0964<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u091f\u0949\u0930\u094d\u091a\u0938\u094d\u0915\u094d\u0930\u093f\u092a\u094d\u091f:<\/strong><\/p>\n<ul>\n<li>\u091f\u0949\u0930\u094d\u091a\u0938\u094d\u0915\u094d\u0930\u093f\u092a\u094d\u091f PyTorch \u0915\u093e \u090f\u0915 \u0938\u094d\u0925\u093f\u0930 \u0930\u0942\u092a \u0938\u0947 \u091f\u093e\u0907\u092a \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0909\u092a\u0938\u092e\u0941\u091a\u094d\u091a\u092f \u0939\u0948, \u091c\u093f\u0938\u0947 \u0909\u0924\u094d\u092a\u093e\u0926\u0928 \u0914\u0930 \u092a\u0930\u093f\u0928\u093f\u092f\u094b\u091c\u0928 \u0909\u0926\u094d\u0926\u0947\u0936\u094d\u092f\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0921\u093f\u091c\u093c\u093e\u0907\u0928 \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0939\u0948\u0964<\/li>\n<li>\u0909\u0928 \u092a\u0930\u093f\u0926\u0943\u0936\u094d\u092f\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0906\u0926\u0930\u094d\u0936 \u091c\u0939\u093e\u0902 \u0926\u0915\u094d\u0937\u0924\u093e \u0914\u0930 \u092e\u0949\u0921\u0932 \u092a\u0930\u093f\u0928\u093f\u092f\u094b\u091c\u0928 \u092e\u0939\u0924\u094d\u0935\u092a\u0942\u0930\u094d\u0923 \u0939\u0948\u0902\u0964<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h2>\u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917 \u0914\u0930 \u091a\u0941\u0928\u094c\u0924\u093f\u092f\u093e\u0901<\/h2>\n<p>PyTorch \u0915\u0902\u092a\u094d\u092f\u0942\u091f\u0930 \u0935\u093f\u091c\u093c\u0928, \u092a\u094d\u0930\u093e\u0915\u0943\u0924\u093f\u0915 \u092d\u093e\u0937\u093e \u092a\u094d\u0930\u0938\u0902\u0938\u094d\u0915\u0930\u0923 \u0914\u0930 \u0938\u0941\u0926\u0943\u0922\u0940\u0915\u0930\u0923 \u0938\u0940\u0916\u0928\u0947 \u0938\u0939\u093f\u0924 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0921\u094b\u092e\u0947\u0928 \u092e\u0947\u0902 \u090f\u092a\u094d\u0932\u093f\u0915\u0947\u0936\u0928 \u0922\u0942\u0902\u0922\u0924\u093e \u0939\u0948\u0964 \u0939\u093e\u0932\u093e\u0901\u0915\u093f, PyTorch \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u091a\u0941\u0928\u094c\u0924\u093f\u092f\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0906\u0924\u093e \u0939\u0948, \u091c\u0948\u0938\u0947 \u092e\u0947\u092e\u094b\u0930\u0940 \u0915\u094b \u0915\u0941\u0936\u0932\u0924\u093e\u092a\u0942\u0930\u094d\u0935\u0915 \u092a\u094d\u0930\u092c\u0902\u0927\u093f\u0924 \u0915\u0930\u0928\u093e, \u091c\u091f\u093f\u0932 \u0906\u0930\u094d\u0915\u093f\u091f\u0947\u0915\u094d\u091a\u0930 \u0938\u0947 \u0928\u093f\u092a\u091f\u0928\u093e \u0914\u0930 \u092c\u0921\u093c\u0947 \u092a\u0948\u092e\u093e\u0928\u0947 \u092a\u0930 \u0924\u0948\u0928\u093e\u0924\u0940 \u0915\u0947 \u0932\u093f\u090f \u0905\u0928\u0941\u0915\u0942\u0932\u0928 \u0915\u0930\u0928\u093e\u0964<\/p>\n<h2>\u0924\u0941\u0932\u0928\u093e\u090f\u0901 \u0914\u0930 \u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0940 \u0938\u0902\u092d\u093e\u0935\u0928\u093e\u090f\u0901<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0935\u093f\u0936\u0947\u0937\u0924\u093e<\/th>\n<th>\u092a\u093e\u092f\u091f\u094b\u0930\u091a<\/th>\n<th>\u091f\u0947\u0902\u0938\u0930\u092b\u093c\u094d\u0932\u094b<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0917\u0924\u093f\u0936\u0940\u0932 \u0938\u0902\u0917\u0923\u0928\u093e<\/td>\n<td>\u0939\u093e\u0901<\/td>\n<td>\u0928\u0939\u0940\u0902<\/td>\n<\/tr>\n<tr>\n<td>\u0917\u094b\u0926 \u0932\u0947\u0928\u0947 \u0915\u0940 \u0917\u0924\u093f<\/td>\n<td>\u0924\u0947\u091c\u093c<\/td>\n<td>\u0915\u094d\u0930\u092e\u093f\u0915<\/td>\n<\/tr>\n<tr>\n<td>\u0938\u0940\u0916\u0928\u0947 \u0915\u0940 \u0905\u0935\u0938\u094d\u0925\u093e<\/td>\n<td>\u0915\u094b\u092e\u0932<\/td>\n<td>\u0922\u0932\u093e\u0928<\/td>\n<\/tr>\n<tr>\n<td>\u092a\u093e\u0930\u093f\u0938\u094d\u0925\u093f\u0924\u093f\u0915\u0940 \u0924\u0902\u0924\u094d\u0930<\/td>\n<td>\u092c\u0922\u093c\u0924\u093e \u0939\u0941\u0906 \u0914\u0930 \u091c\u0940\u0935\u0902\u0924<\/td>\n<td>\u0938\u094d\u0925\u093e\u092a\u093f\u0924 \u0914\u0930 \u0935\u093f\u0935\u093f\u0927<\/td>\n<\/tr>\n<tr>\n<td>\u092a\u0930\u093f\u0928\u093f\u092f\u094b\u091c\u0928 \u0926\u0915\u094d\u0937\u0924\u093e<\/td>\n<td>\u0915\u0941\u091b \u0909\u092a\u0930\u093f<\/td>\n<td>\u0905\u0928\u0941\u0915\u0942\u0932\u093f\u0924<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0939\u093e\u0930\u094d\u0921\u0935\u0947\u092f\u0930 \u0905\u0928\u0941\u0915\u0942\u0932\u0924\u093e \u092e\u0947\u0902 \u0928\u093f\u0930\u0902\u0924\u0930 \u092a\u094d\u0930\u0917\u0924\u093f, \u092c\u0947\u0939\u0924\u0930 \u092a\u0930\u093f\u0928\u093f\u092f\u094b\u091c\u0928 \u0935\u093f\u0915\u0932\u094d\u092a \u0914\u0930 \u0905\u0928\u094d\u092f \u090f\u0906\u0908 \u092b\u094d\u0930\u0947\u092e\u0935\u0930\u094d\u0915 \u0915\u0947 \u0938\u093e\u0925 \u0909\u0928\u094d\u0928\u0924 \u090f\u0915\u0940\u0915\u0930\u0923 \u0915\u0947 \u0938\u093e\u0925, PyTorch \u0915\u093e \u092d\u0935\u093f\u0937\u094d\u092f \u0906\u0936\u093e\u091c\u0928\u0915 \u0932\u0917 \u0930\u0939\u093e \u0939\u0948\u0964<\/p>\n<h2>PyTorch \u0914\u0930 \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930<\/h2>\n<p>\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 PyTorch \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u0938\u0939\u093f\u0924 AI \u0935\u093f\u0915\u093e\u0938 \u0914\u0930 \u0924\u0948\u0928\u093e\u0924\u0940 \u0915\u0947 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u092a\u0939\u0932\u0941\u0913\u0902 \u092e\u0947\u0902 \u092e\u0939\u0924\u094d\u0935\u092a\u0942\u0930\u094d\u0923 \u092d\u0942\u092e\u093f\u0915\u093e \u0928\u093f\u092d\u093e\u0924\u0947 \u0939\u0948\u0902\u0964 \u0935\u0947 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0932\u093e\u092d \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u0947 \u0939\u0948\u0902:<\/p>\n<ul>\n<li><strong>\u0915\u0948\u0936\u093f\u0902\u0917:<\/strong> \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u092e\u0949\u0921\u0932 \u092d\u093e\u0930 \u0914\u0930 \u0921\u0947\u091f\u093e \u0915\u094b \u0915\u0948\u0936 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902, \u091c\u093f\u0938\u0938\u0947 \u092c\u093e\u0930-\u092c\u093e\u0930 \u092e\u0949\u0921\u0932 \u0905\u0928\u0941\u092e\u093e\u0928 \u0915\u0947 \u0926\u094c\u0930\u093e\u0928 \u0935\u093f\u0932\u0902\u092c\u0924\u093e \u0915\u092e \u0939\u094b \u091c\u093e\u0924\u0940 \u0939\u0948\u0964<\/li>\n<li><strong>\u092d\u093e\u0930 \u0915\u093e \u0938\u0902\u0924\u0941\u0932\u0928:<\/strong> \u0935\u0947 \u0938\u0902\u0938\u093e\u0927\u0928\u094b\u0902 \u0915\u0947 \u0915\u0941\u0936\u0932 \u0909\u092a\u092f\u094b\u0917 \u0915\u094b \u0938\u0941\u0928\u093f\u0936\u094d\u091a\u093f\u0924 \u0915\u0930\u0924\u0947 \u0939\u0941\u090f, \u0906\u0928\u0947 \u0935\u093e\u0932\u0947 \u0905\u0928\u0941\u0930\u094b\u0927\u094b\u0902 \u0915\u094b \u0915\u0908 \u0938\u0930\u094d\u0935\u0930\u094b\u0902 \u092e\u0947\u0902 \u0935\u093f\u0924\u0930\u093f\u0924 \u0915\u0930\u0924\u0947 \u0939\u0948\u0902\u0964<\/li>\n<li><strong>\u0938\u0941\u0930\u0915\u094d\u0937\u093e:<\/strong> \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u092e\u0927\u094d\u092f\u0938\u094d\u0925\u094b\u0902 \u0915\u0947 \u0930\u0942\u092a \u092e\u0947\u0902 \u0915\u093e\u0930\u094d\u092f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902, \u0906\u0902\u0924\u0930\u093f\u0915 \u092c\u0941\u0928\u093f\u092f\u093e\u0926\u0940 \u0922\u093e\u0902\u091a\u0947 \u0915\u094b \u0938\u0940\u0927\u0947 \u092c\u093e\u0939\u0930\u0940 \u092a\u0939\u0941\u0902\u091a \u0938\u0947 \u092c\u091a\u093e\u0915\u0930 \u0938\u0941\u0930\u0915\u094d\u0937\u093e \u0915\u0940 \u090f\u0915 \u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924 \u092a\u0930\u0924 \u091c\u094b\u0921\u093c\u0924\u0947 \u0939\u0948\u0902\u0964<\/li>\n<li><strong>\u0917\u0941\u092e\u0928\u093e\u092e\u0940:<\/strong> \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0905\u0928\u0941\u0930\u094b\u0927\u094b\u0902 \u0915\u094b \u0905\u091c\u094d\u091e\u093e\u0924 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902, \u091c\u094b \u0938\u0902\u0935\u0947\u0926\u0928\u0936\u0940\u0932 \u0921\u0947\u091f\u093e \u0915\u0947 \u0938\u093e\u0925 \u0915\u093e\u092e \u0915\u0930\u0924\u0947 \u0938\u092e\u092f \u092f\u093e \u0905\u0928\u0941\u0938\u0902\u0927\u093e\u0928 \u0915\u0930\u0924\u0947 \u0938\u092e\u092f \u092e\u0939\u0924\u094d\u0935\u092a\u0942\u0930\u094d\u0923 \u0939\u0948\u0964<\/li>\n<\/ul>\n<h2>\u0938\u092e\u094d\u092c\u0902\u0927\u093f\u0924 \u0932\u093f\u0902\u0915\u094d\u0938<\/h2>\n<p>PyTorch \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u0905\u0927\u093f\u0915 \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u0915\u0947 \u0932\u093f\u090f, \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0938\u0902\u0938\u093e\u0927\u0928 \u0926\u0947\u0916\u0947\u0902:<\/p>\n<ul>\n<li><a href=\"https:\/\/pytorch.org\" target=\"_new\" rel=\"noopener nofollow\">\u0906\u0927\u093f\u0915\u093e\u0930\u093f\u0915 PyTorch \u0935\u0947\u092c\u0938\u093e\u0907\u091f<\/a><\/li>\n<li><a href=\"https:\/\/pytorch.org\/tutorials\" target=\"_new\" rel=\"noopener nofollow\">\u092a\u093e\u092f\u091f\u094b\u0930\u091a \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932<\/a><\/li>\n<li><a href=\"https:\/\/pytorch.org\/docs\" target=\"_new\" rel=\"noopener nofollow\">\u092a\u093e\u092f\u091f\u094b\u0930\u091a \u0926\u0938\u094d\u0924\u093e\u0935\u0947\u091c\u093c\u0940\u0915\u0930\u0923<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/pytorch\/pytorch\" target=\"_new\" rel=\"noopener nofollow\">PyTorch GitHub \u0930\u093f\u092a\u094b\u091c\u093f\u091f\u0930\u0940<\/a><\/li>\n<\/ul>\n<p>\u0905\u0902\u0924 \u092e\u0947\u0902, PyTorch \u0928\u0947 \u0905\u092a\u0928\u0940 \u0917\u0924\u093f\u0936\u0940\u0932 \u0917\u0923\u0928\u093e \u0915\u094d\u0937\u092e\u0924\u093e\u0913\u0902, \u092e\u0949\u0921\u094d\u092f\u0942\u0932\u0930 \u0921\u093f\u091c\u093c\u093e\u0907\u0928 \u0914\u0930 \u0935\u094d\u092f\u093e\u092a\u0915 \u0938\u093e\u092e\u0941\u0926\u093e\u092f\u093f\u0915 \u0938\u092e\u0930\u094d\u0925\u0928 \u0915\u0947 \u0938\u093e\u0925 \u0917\u0939\u0928 \u0936\u093f\u0915\u094d\u0937\u0923 \u0915\u0947 \u092a\u0930\u093f\u0926\u0943\u0936\u094d\u092f \u092e\u0947\u0902 \u0915\u094d\u0930\u093e\u0902\u0924\u093f \u0932\u093e \u0926\u0940 \u0939\u0948\u0964 \u091c\u0948\u0938\u0947-\u091c\u0948\u0938\u0947 \u0907\u0938\u0915\u093e \u0935\u093f\u0915\u093e\u0938 \u091c\u093e\u0930\u0940 \u0939\u0948, PyTorch AI \u0928\u0935\u093e\u091a\u093e\u0930 \u092e\u0947\u0902 \u0938\u092c\u0938\u0947 \u0906\u0917\u0947 \u092c\u0928\u093e \u0939\u0941\u0906 \u0939\u0948, \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0921\u094b\u092e\u0947\u0928 \u092e\u0947\u0902 \u0905\u0928\u0941\u0938\u0902\u0927\u093e\u0928 \u0914\u0930 \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917 \u092e\u0947\u0902 \u092a\u094d\u0930\u0917\u0924\u093f \u0915\u0930 \u0930\u0939\u093e \u0939\u0948\u0964 \u091c\u092c \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0915\u0940 \u0915\u094d\u0937\u092e\u0924\u093e\u0913\u0902 \u0915\u0947 \u0938\u093e\u0925 \u091c\u094b\u0921\u093c\u093e \u091c\u093e\u0924\u093e \u0939\u0948, \u0924\u094b \u0915\u0941\u0936\u0932 \u0914\u0930 \u0938\u0941\u0930\u0915\u094d\u0937\u093f\u0924 \u090f\u0906\u0908 \u0935\u093f\u0915\u093e\u0938 \u0915\u0940 \u0938\u0902\u092d\u093e\u0935\u0928\u093e\u090f\u0902 \u0914\u0930 \u092d\u0940 \u0905\u0927\u093f\u0915 \u0906\u0936\u093e\u091c\u0928\u0915 \u0939\u094b \u091c\u093e\u0924\u0940 \u0939\u0948\u0902\u0964<\/p>","protected":false},"featured_media":469282,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478588","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>PyTorch: Powering the Future of Deep Learning<\/mark>","faq_items":[{"question":"What is PyTorch and why is it important for AI?","answer":"<p>PyTorch is an open-source machine learning library known for its flexibility and dynamic approach to building neural networks. It's essential for AI development as it offers an intuitive interface, dynamic computation graphs, and powerful GPU acceleration.<\/p>"},{"question":"How did PyTorch originate and who developed it?","answer":"<p>PyTorch emerged from the Torch library, originally created by Ronan Collobert and his team. The formal release came from Facebook's AI Research lab in 2016, gaining popularity for its dynamic graph construction and user-friendly design.<\/p>"},{"question":"What sets PyTorch apart from other deep learning frameworks?","answer":"<p>PyTorch stands out with its dynamic computation graph, enabling dynamic control flow and easy debugging. Unlike static graphs, PyTorch constructs graphs during runtime, making complex architectures and conditional operations simpler to implement.<\/p>"},{"question":"What are the key features of PyTorch?","answer":"<p>PyTorch boasts dynamic computation, automatic differentiation (autograd), modular design, pre-built neural network modules, and efficient GPU acceleration. These features make it a preferred choice for researchers and developers.<\/p>"},{"question":"What are the types of PyTorch available?","answer":"<p>There are two main variations of PyTorch: the traditional PyTorch library and TorchScript. While PyTorch offers dynamic computation graphs, TorchScript provides a statically-typed subset for production and deployment purposes.<\/p>"},{"question":"How can proxy servers be used with PyTorch?","answer":"<p>Proxy servers complement PyTorch by offering caching, load balancing, security, and anonymity benefits. They improve model inference speed, enhance security, and optimize resource utilization in AI development.<\/p>"},{"question":"Where can I learn more about PyTorch?","answer":"<p>For more information, you can visit the <a href=\"https:\/\/pytorch.org\" target=\"_new\">Official PyTorch Website<\/a>, explore <a href=\"https:\/\/pytorch.org\/tutorials\" target=\"_new\">PyTorch Tutorials<\/a>, refer to the <a href=\"https:\/\/pytorch.org\/docs\" target=\"_new\">PyTorch Documentation<\/a>, or check out the <a href=\"https:\/\/github.com\/pytorch\/pytorch\" target=\"_new\">PyTorch GitHub Repository<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/478588","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\/478588\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media\/469282"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media?parent=478588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}