{"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\/ar\/wiki\/pytorch\/","title":{"rendered":"\u0628\u0627\u064a \u062a\u0648\u0631\u0634"},"content":{"rendered":"<h2>\u0645\u0642\u062f\u0645\u0629 \u0645\u0648\u062c\u0632\u0629 \u0639\u0646 PyTorch<\/h2>\n<p>\u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0633\u0631\u064a\u0639 \u0627\u0644\u062a\u0637\u0648\u0631\u060c \u0628\u0631\u0632\u062a PyTorch \u0643\u0625\u0637\u0627\u0631 \u0639\u0645\u0644 \u0642\u0648\u064a \u0648\u0645\u062a\u0639\u062f\u062f \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0627\u062a \u064a\u0639\u064a\u062f \u062a\u0634\u0643\u064a\u0644 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062a\u064a \u064a\u062a\u0639\u0627\u0645\u0644 \u0628\u0647\u0627 \u0627\u0644\u0628\u0627\u062d\u062b\u0648\u0646 \u0648\u0627\u0644\u0645\u0637\u0648\u0631\u0648\u0646 \u0645\u0639 \u0645\u0647\u0627\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a. PyTorch \u0647\u064a \u0645\u0643\u062a\u0628\u0629 \u0645\u0641\u062a\u0648\u062d\u0629 \u0627\u0644\u0645\u0635\u062f\u0631 \u0644\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u062a\u0648\u0641\u0631 \u0646\u0647\u062c\u064b\u0627 \u0645\u0631\u0646\u064b\u0627 \u0648\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a\u064b\u0627 \u0644\u0628\u0646\u0627\u0621 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629 \u0648\u062a\u062f\u0631\u064a\u0628\u0647\u0627. \u062a\u062a\u0639\u0645\u0642 \u0647\u0630\u0647 \u0627\u0644\u0645\u0642\u0627\u0644\u0629 \u0641\u064a \u062a\u0627\u0631\u064a\u062e PyTorch \u0648\u0645\u064a\u0632\u0627\u062a\u0647 \u0648\u0623\u0646\u0648\u0627\u0639\u0647 \u0648\u062a\u0637\u0628\u064a\u0642\u0627\u062a\u0647 \u0648\u0622\u0641\u0627\u0642\u0647 \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629\u060c \u0648\u062a\u0633\u062a\u0643\u0634\u0641 \u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0646 \u062a\u0643\u0645\u0644 \u0648\u0638\u0627\u0626\u0641\u0647\u0627.<\/p>\n<h2>\u0623\u0635\u0648\u0644 PyTorch<\/h2>\n<p>\u0646\u0634\u0623\u062a PyTorch \u0645\u0646 \u0645\u0643\u062a\u0628\u0629 Torch\u060c \u0627\u0644\u062a\u064a \u062a\u0645 \u062a\u0637\u0648\u064a\u0631\u0647\u0627 \u0641\u064a \u0627\u0644\u0628\u062f\u0627\u064a\u0629 \u0628\u0648\u0627\u0633\u0637\u0629 Ronan Collobert \u0648\u0641\u0631\u064a\u0642\u0647 \u0641\u064a \u062c\u0627\u0645\u0639\u0629 \u0645\u0648\u0646\u062a\u0631\u064a\u0627\u0644 \u0641\u064a \u0623\u0648\u0627\u0626\u0644 \u0627\u0644\u0639\u0642\u062f \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 \u0627\u0644\u0642\u0631\u0646 \u0627\u0644\u062d\u0627\u062f\u064a \u0648\u0627\u0644\u0639\u0634\u0631\u064a\u0646. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u064a\u0645\u0643\u0646 \u0623\u0646 \u064a\u064f\u0639\u0632\u0649 \u0627\u0644\u0645\u064a\u0644\u0627\u062f \u0627\u0644\u0631\u0633\u0645\u064a \u0644\u0640 PyTorch \u0625\u0644\u0649 \u0645\u062e\u062a\u0628\u0631 \u0623\u0628\u062d\u0627\u062b \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a (FAIR) \u0627\u0644\u062a\u0627\u0628\u0639 \u0644\u0641\u064a\u0633\u0628\u0648\u0643\u060c \u0648\u0627\u0644\u0630\u064a \u0623\u0635\u062f\u0631 PyTorch \u0641\u064a \u0639\u0627\u0645 2016. \u0648\u0642\u062f \u0627\u0643\u062a\u0633\u0628\u062a \u0627\u0644\u0645\u0643\u062a\u0628\u0629 \u0634\u0639\u0628\u064a\u0629 \u0633\u0631\u064a\u0639\u0629 \u0628\u0633\u0628\u0628 \u062a\u0635\u0645\u064a\u0645\u0647\u0627 \u0627\u0644\u0628\u062f\u064a\u0647\u064a \u0648\u0631\u0633\u0645\u0647\u0627 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0627\u0644\u062d\u0633\u0627\u0628\u064a \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a\u060c \u0645\u0645\u0627 \u064a\u0645\u064a\u0632\u0647\u0627 \u0639\u0646 \u0623\u0637\u0631 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0627\u0644\u0623\u062e\u0631\u0649 \u0645\u062b\u0644 TensorFlow. \u064a\u0633\u0645\u062d \u0628\u0646\u0627\u0621 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a \u0647\u0630\u0627 \u0628\u0645\u0631\u0648\u0646\u0629 \u0623\u0643\u0628\u0631 \u0641\u064a \u062a\u0637\u0648\u064a\u0631 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0648\u062a\u0635\u062d\u064a\u062d \u0627\u0644\u0623\u062e\u0637\u0627\u0621.<\/p>\n<h2>\u0641\u0647\u0645 \u0628\u0627\u064a \u062a\u0648\u0631\u0634<\/h2>\n<p>\u062a\u0634\u062a\u0647\u0631 PyTorch \u0628\u0628\u0633\u0627\u0637\u062a\u0647\u0627 \u0648\u0633\u0647\u0648\u0644\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627. \u064a\u0633\u062a\u062e\u062f\u0645 \u0648\u0627\u062c\u0647\u0629 \u0628\u0627\u064a\u062b\u0648\u0646\u064a\u0629 \u062a\u0639\u0645\u0644 \u0639\u0644\u0649 \u062a\u0628\u0633\u064a\u0637 \u0639\u0645\u0644\u064a\u0629 \u0628\u0646\u0627\u0621 \u0648\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629. \u062c\u0648\u0647\u0631 PyTorch \u0647\u0648 \u0645\u0643\u062a\u0628\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u0648\u062a\u0631 \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0647\u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0648\u0641\u0631 \u0627\u0644\u062f\u0639\u0645 \u0644\u0644\u0645\u0635\u0641\u0648\u0641\u0627\u062a \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0623\u0628\u0639\u0627\u062f\u060c \u0639\u0644\u0649 \u063a\u0631\u0627\u0631 \u0645\u0635\u0641\u0648\u0641\u0627\u062a NumPy \u0648\u0644\u0643\u0646 \u0645\u0639 \u062a\u0633\u0631\u064a\u0639 GPU \u0644\u0625\u062c\u0631\u0627\u0621 \u062d\u0633\u0627\u0628\u0627\u062a \u0623\u0633\u0631\u0639. \u0648\u0647\u0630\u0627 \u064a\u062a\u064a\u062d \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0641\u0639\u0627\u0644\u0629 \u0644\u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0643\u0628\u064a\u0631\u0629 \u0648\u0627\u0644\u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0631\u064a\u0627\u0636\u064a\u0629 \u0627\u0644\u0645\u0639\u0642\u062f\u0629.<\/p>\n<h2>\u0627\u0644\u0647\u064a\u0643\u0644 \u0627\u0644\u062f\u0627\u062e\u0644\u064a \u0644\u0640 PyTorch<\/h2>\n<p>\u062a\u0639\u0645\u0644 PyTorch \u0639\u0644\u0649 \u0645\u0628\u062f\u0623 \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a\u0629 \u0627\u0644\u062d\u0633\u0627\u0628\u064a\u0629 \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a\u0629. \u0639\u0644\u0649 \u0639\u0643\u0633 \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a\u0629 \u0627\u0644\u062d\u0633\u0627\u0628\u064a\u0629 \u0627\u0644\u062b\u0627\u0628\u062a\u0629 \u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645\u0647\u0627 \u0623\u0637\u0631 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u0623\u062e\u0631\u0649\u060c \u062a\u0642\u0648\u0645 PyTorch \u0628\u0625\u0646\u0634\u0627\u0621 \u0631\u0633\u0648\u0645 \u0628\u064a\u0627\u0646\u064a\u0629 \u0633\u0631\u064a\u0639\u0629 \u0623\u062b\u0646\u0627\u0621 \u0648\u0642\u062a \u0627\u0644\u062a\u0634\u063a\u064a\u0644. \u062a\u0633\u0647\u0644 \u0647\u0630\u0647 \u0627\u0644\u0637\u0628\u064a\u0639\u0629 \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a\u0629 \u062a\u062f\u0641\u0642 \u0627\u0644\u062a\u062d\u0643\u0645 \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a\u060c \u0645\u0645\u0627 \u064a\u0633\u0647\u0644 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0628\u0646\u0649 \u0648\u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0645\u0639\u0642\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u062a\u0636\u0645\u0646 \u0623\u062d\u062c\u0627\u0645 \u0645\u062f\u062e\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0623\u0648 \u0639\u0645\u0644\u064a\u0627\u062a \u0645\u0634\u0631\u0648\u0637\u0629.<\/p>\n<h2>\u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0644\u0628\u0631\u0646\u0627\u0645\u062c PyTorch<\/h2>\n<ul>\n<li>\n<p><strong>\u0627\u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a:<\/strong> \u064a\u062a\u064a\u062d \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0627\u0644\u062d\u0633\u0627\u0628\u064a \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a \u0644\u0640 PyTorch \u062a\u0635\u062d\u064a\u062d \u0627\u0644\u0623\u062e\u0637\u0627\u0621 \u0628\u0633\u0647\u0648\u0644\u0629 \u0648\u062a\u062f\u0641\u0642 \u0627\u0644\u062a\u062d\u0643\u0645 \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a \u0641\u064a \u0627\u0644\u0646\u0645\u0627\u0630\u062c.<\/p>\n<\/li>\n<li>\n<p><strong>\u0627\u0644\u062a\u0631\u0642\u064a\u0629 \u0627\u0644\u062a\u0644\u0642\u0627\u0626\u064a\u0629:<\/strong> \u0645\u064a\u0632\u0629 \u0627\u0644\u062a\u0645\u0627\u064a\u0632 \u0627\u0644\u062a\u0644\u0642\u0627\u0626\u064a \u0641\u064a PyTorch\u060c \u0645\u0646 \u062e\u0644\u0627\u0644\u0647 <code data-no-translation=\"\">autograd<\/code> \u0627\u0644\u062d\u0632\u0645\u0629\u060c \u0648\u062a\u062d\u0633\u0628 \u0627\u0644\u062a\u062f\u0631\u062c\u0627\u062a \u0648\u064a\u0633\u0647\u0644 \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0639\u0643\u0633\u064a \u0627\u0644\u0641\u0639\u0627\u0644 \u0644\u0644\u062a\u062f\u0631\u064a\u0628.<\/p>\n<\/li>\n<li>\n<p><strong>\u062a\u0635\u0645\u064a\u0645 \u0648\u062d\u062f\u0627\u062a:<\/strong> \u062a\u0645 \u0628\u0646\u0627\u0621 PyTorch \u0639\u0644\u0649 \u062a\u0635\u0645\u064a\u0645 \u0645\u0639\u064a\u0627\u0631\u064a\u060c \u0645\u0645\u0627 \u064a\u0633\u0645\u062d \u0644\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u064a\u0646 \u0628\u062a\u0639\u062f\u064a\u0644 \u0648\u062a\u0648\u0633\u064a\u0639 \u0648\u062f\u0645\u062c \u0627\u0644\u0645\u0643\u0648\u0646\u0627\u062a \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 \u0644\u0625\u0637\u0627\u0631 \u0627\u0644\u0639\u0645\u0644 \u0628\u0633\u0647\u0648\u0644\u0629.<\/p>\n<\/li>\n<li>\n<p><strong>\u0648\u062d\u062f\u0629 \u0627\u0644\u0634\u0628\u0643\u0629 \u0627\u0644\u0639\u0635\u0628\u064a\u0629:<\/strong> \u0627\u0644 <code data-no-translation=\"\">torch.nn<\/code> \u062a\u0648\u0641\u0631 \u0627\u0644\u0648\u062d\u062f\u0629 \u0637\u0628\u0642\u0627\u062a \u0645\u0639\u062f\u0629 \u0645\u0633\u0628\u0642\u064b\u0627 \u0648\u0648\u0638\u0627\u0626\u0641 \u0627\u0644\u062e\u0633\u0627\u0631\u0629 \u0648\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062a\u062d\u0633\u064a\u0646\u060c \u0645\u0645\u0627 \u064a\u0628\u0633\u0637 \u0639\u0645\u0644\u064a\u0629 \u0628\u0646\u0627\u0621 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629 \u0627\u0644\u0645\u0639\u0642\u062f\u0629.<\/p>\n<\/li>\n<li>\n<p><strong>\u062a\u0633\u0631\u064a\u0639 GPU:<\/strong> \u064a\u062a\u0643\u0627\u0645\u0644 PyTorch \u0628\u0633\u0644\u0627\u0633\u0629 \u0645\u0639 \u0648\u062d\u062f\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0633\u0648\u0645\u0627\u062a\u060c \u0645\u0645\u0627 \u064a\u0624\u062f\u064a \u0625\u0644\u0649 \u062a\u0633\u0631\u064a\u0639 \u0645\u0647\u0627\u0645 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0648\u0627\u0644\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631.<\/p>\n<\/li>\n<\/ul>\n<h2>\u0623\u0646\u0648\u0627\u0639 \u0628\u0627\u064a \u062a\u0648\u0631\u0634<\/h2>\n<p>\u064a\u0623\u062a\u064a PyTorch \u0641\u064a \u0634\u0643\u0644\u064a\u0646 \u0631\u0626\u064a\u0633\u064a\u064a\u0646:<\/p>\n<ol>\n<li>\n<p><strong>\u0628\u0627\u064a\u062a\u0648\u0631\u062a\u0634:<\/strong><\/p>\n<ul>\n<li>\u062a\u0648\u0641\u0631 \u0645\u0643\u062a\u0628\u0629 PyTorch \u0627\u0644\u062a\u0642\u0644\u064a\u062f\u064a\u0629 \u0648\u0627\u062c\u0647\u0629 \u0633\u0644\u0633\u0629 \u0644\u0628\u0646\u0627\u0621 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629 \u0648\u062a\u062f\u0631\u064a\u0628\u0647\u0627.<\/li>\n<li>\u0645\u0646\u0627\u0633\u0628 \u0644\u0644\u0628\u0627\u062d\u062b\u064a\u0646 \u0648\u0627\u0644\u0645\u0637\u0648\u0631\u064a\u0646 \u0627\u0644\u0630\u064a\u0646 \u064a\u0641\u0636\u0644\u0648\u0646 \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a\u0629 \u0627\u0644\u062d\u0633\u0627\u0628\u064a\u0629 \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a\u0629.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u0646\u0635 \u0627\u0644\u0634\u0639\u0644\u0629:<\/strong><\/p>\n<ul>\n<li>TorchScript \u0647\u064a \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u0631\u0639\u064a\u0629 \u0645\u0643\u062a\u0648\u0628\u0629 \u0628\u0634\u0643\u0644 \u062b\u0627\u0628\u062a \u0645\u0646 PyTorch\u060c \u0645\u0635\u0645\u0645\u0629 \u0644\u0623\u063a\u0631\u0627\u0636 \u0627\u0644\u0625\u0646\u062a\u0627\u062c \u0648\u0627\u0644\u0646\u0634\u0631.<\/li>\n<li>\u0645\u062b\u0627\u0644\u064a\u0629 \u0644\u0644\u0633\u064a\u0646\u0627\u0631\u064a\u0648\u0647\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0643\u0648\u0646 \u0641\u064a\u0647\u0627 \u0627\u0644\u0643\u0641\u0627\u0621\u0629 \u0648\u0646\u0634\u0631 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0623\u0645\u0631\u064b\u0627 \u0628\u0627\u0644\u063a \u0627\u0644\u0623\u0647\u0645\u064a\u0629.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h2>\u0627\u0644\u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0648\u0627\u0644\u062a\u062d\u062f\u064a\u0627\u062a<\/h2>\n<p>\u062a\u062c\u062f PyTorch \u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0641\u064a \u0645\u062c\u0627\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629\u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0631\u0624\u064a\u0629 \u0627\u0644\u0643\u0645\u0628\u064a\u0648\u062a\u0631 \u0648\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0637\u0628\u064a\u0639\u064a\u0629 \u0648\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0645\u0639\u0632\u0632. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u0641\u0625\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 PyTorch \u064a\u0623\u062a\u064a \u0645\u0639\u0647 \u062a\u062d\u062f\u064a\u0627\u062a\u060c \u0645\u062b\u0644 \u0625\u062f\u0627\u0631\u0629 \u0627\u0644\u0630\u0627\u0643\u0631\u0629 \u0628\u0643\u0641\u0627\u0621\u0629\u060c \u0648\u0627\u0644\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0627\u0644\u0628\u0646\u0649 \u0627\u0644\u0645\u0639\u0642\u062f\u0629\u060c \u0648\u062a\u062d\u0633\u064a\u0646 \u0627\u0644\u0646\u0634\u0631 \u0639\u0644\u0649 \u0646\u0637\u0627\u0642 \u0648\u0627\u0633\u0639.<\/p>\n<h2>\u0645\u0642\u0627\u0631\u0646\u0627\u062a \u0648\u0622\u0641\u0627\u0642 \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0645\u064a\u0632\u0629<\/th>\n<th>\u0628\u0627\u064a \u062a\u0648\u0631\u0634<\/th>\n<th>TensorFlow<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0627\u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a<\/td>\n<td>\u0646\u0639\u0645<\/td>\n<td>\u0644\u0627<\/td>\n<\/tr>\n<tr>\n<td>\u0633\u0631\u0639\u0629 \u0627\u0644\u062a\u0628\u0646\u064a<\/td>\n<td>\u0633\u0631\u064a\u0639<\/td>\n<td>\u062a\u062f\u0631\u064a\u062c\u064a<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u062a\u0639\u0644\u0645<\/td>\n<td>\u0644\u0637\u064a\u0641<\/td>\n<td>\u0623\u0643\u062b\u0631 \u0627\u0646\u062d\u062f\u0627\u0631\u0627<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0646\u0638\u0627\u0645 \u0627\u0644\u0628\u064a\u0626\u064a<\/td>\n<td>\u062a\u0646\u0645\u0648 \u0648\u062d\u064a\u0648\u064a\u0629<\/td>\n<td>\u0645\u0624\u0633\u0633\u0629 \u0648\u0645\u062a\u0646\u0648\u0639\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u0643\u0641\u0627\u0621\u0629 \u0627\u0644\u0646\u0634\u0631<\/td>\n<td>\u0628\u0639\u0636 \u0627\u0644\u0646\u0641\u0642\u0627\u062a \u0627\u0644\u0639\u0627\u0645\u0629<\/td>\n<td>\u0627\u0644\u0645\u062d\u0633\u0646<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u064a\u0628\u062f\u0648 \u0645\u0633\u062a\u0642\u0628\u0644 PyTorch \u0648\u0627\u0639\u062f\u064b\u0627\u060c \u0645\u0639 \u0627\u0644\u062a\u0642\u062f\u0645 \u0627\u0644\u0645\u0633\u062a\u0645\u0631 \u0641\u064a \u062a\u0648\u0627\u0641\u0642 \u0627\u0644\u0623\u062c\u0647\u0632\u0629\u060c \u0648\u062e\u064a\u0627\u0631\u0627\u062a \u0627\u0644\u0646\u0634\u0631 \u0627\u0644\u0645\u062d\u0633\u0646\u0629\u060c \u0648\u0627\u0644\u062a\u0643\u0627\u0645\u0644 \u0627\u0644\u0645\u0639\u0632\u0632 \u0645\u0639 \u0623\u0637\u0631 \u0639\u0645\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0623\u062e\u0631\u0649.<\/p>\n<h2>PyTorch \u0648\u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629<\/h2>\n<p>\u062a\u0644\u0639\u0628 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u062f\u0648\u0631\u064b\u0627 \u062d\u064a\u0648\u064a\u064b\u0627 \u0641\u064a \u0645\u062e\u062a\u0644\u0641 \u062c\u0648\u0627\u0646\u0628 \u062a\u0637\u0648\u064a\u0631 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0648\u0646\u0634\u0631\u0647\u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u062a\u0637\u0628\u064a\u0642\u0627\u062a PyTorch. \u0623\u0646\u0647\u0627 \u062a\u0648\u0641\u0631 \u0641\u0648\u0627\u0626\u062f \u0645\u062b\u0644:<\/p>\n<ul>\n<li><strong>\u0627\u0644\u062a\u062e\u0632\u064a\u0646 \u0627\u0644\u0645\u0624\u0642\u062a:<\/strong> \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u062a\u062e\u0632\u064a\u0646 \u0623\u0648\u0632\u0627\u0646 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0648\u0628\u064a\u0627\u0646\u0627\u062a\u0647\u0627 \u0645\u0624\u0642\u062a\u064b\u0627\u060c \u0645\u0645\u0627 \u064a\u0642\u0644\u0644 \u0632\u0645\u0646 \u0627\u0644\u0648\u0635\u0648\u0644 \u0623\u062b\u0646\u0627\u0621 \u0627\u0644\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0627\u0644\u0645\u062a\u0643\u0631\u0631 \u0644\u0644\u0646\u0645\u0648\u0630\u062c.<\/li>\n<li><strong>\u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u062d\u0645\u0644:<\/strong> \u064a\u0642\u0648\u0645\u0648\u0646 \u0628\u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u0637\u0644\u0628\u0627\u062a \u0627\u0644\u0648\u0627\u0631\u062f\u0629 \u0639\u0628\u0631 \u062e\u0648\u0627\u062f\u0645 \u0645\u062a\u0639\u062f\u062f\u0629\u060c \u0645\u0645\u0627 \u064a\u0636\u0645\u0646 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0641\u0639\u0627\u0644 \u0644\u0644\u0645\u0648\u0627\u0631\u062f.<\/li>\n<li><strong>\u062d\u0645\u0627\u064a\u0629:<\/strong> \u064a\u0639\u0645\u0644 \u0627\u0644\u0648\u0643\u0644\u0627\u0621 \u0643\u0648\u0633\u0637\u0627\u0621\u060c \u0645\u0645\u0627 \u064a\u0636\u064a\u0641 \u0637\u0628\u0642\u0629 \u0625\u0636\u0627\u0641\u064a\u0629 \u0645\u0646 \u0627\u0644\u0623\u0645\u0627\u0646 \u0639\u0646 \u0637\u0631\u064a\u0642 \u062d\u0645\u0627\u064a\u0629 \u0627\u0644\u0628\u0646\u064a\u0629 \u0627\u0644\u062a\u062d\u062a\u064a\u0629 \u0627\u0644\u062f\u0627\u062e\u0644\u064a\u0629 \u0645\u0646 \u0627\u0644\u0648\u0635\u0648\u0644 \u0627\u0644\u062e\u0627\u0631\u062c\u064a \u0627\u0644\u0645\u0628\u0627\u0634\u0631.<\/li>\n<li><strong>\u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0647\u0648\u064a\u062a\u0647:<\/strong> \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0625\u062e\u0641\u0627\u0621 \u0647\u0648\u064a\u0629 \u0627\u0644\u0637\u0644\u0628\u0627\u062a\u060c \u0648\u0647\u0648 \u0623\u0645\u0631 \u0628\u0627\u0644\u063a \u0627\u0644\u0623\u0647\u0645\u064a\u0629 \u0639\u0646\u062f \u0627\u0644\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062d\u0633\u0627\u0633\u0629 \u0623\u0648 \u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u0623\u0628\u062d\u0627\u062b.<\/li>\n<\/ul>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<p>\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 PyTorch\u060c \u0631\u0627\u062c\u0639 \u0627\u0644\u0645\u0648\u0627\u0631\u062f \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/p>\n<ul>\n<li><a href=\"https:\/\/pytorch.org\" target=\"_new\" rel=\"noopener nofollow\">\u0645\u0648\u0642\u0639 \u0628\u0627\u064a \u062a\u0648\u0631\u0634 \u0627\u0644\u0631\u0633\u0645\u064a<\/a><\/li>\n<li><a href=\"https:\/\/pytorch.org\/tutorials\" target=\"_new\" rel=\"noopener nofollow\">\u062f\u0631\u0648\u0633 \u0628\u0627\u064a \u062a\u0648\u0631\u0634<\/a><\/li>\n<li><a href=\"https:\/\/pytorch.org\/docs\" target=\"_new\" rel=\"noopener nofollow\">\u0648\u062b\u0627\u0626\u0642 \u0628\u0627\u064a \u062a\u0648\u0631\u0634<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/pytorch\/pytorch\" target=\"_new\" rel=\"noopener nofollow\">\u0645\u0633\u062a\u0648\u062f\u0639 PyTorch \u062c\u064a\u062b\u0628<\/a><\/li>\n<\/ul>\n<p>\u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u0623\u062d\u062f\u062b\u062a PyTorch \u062b\u0648\u0631\u0629 \u0641\u064a \u0645\u0634\u0647\u062f \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0642\u062f\u0631\u0627\u062a\u0647\u0627 \u0627\u0644\u062d\u0633\u0627\u0628\u064a\u0629 \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a\u0629\u060c \u0648\u0627\u0644\u062a\u0635\u0645\u064a\u0645 \u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a\u060c \u0648\u0627\u0644\u062f\u0639\u0645 \u0627\u0644\u0645\u062c\u062a\u0645\u0639\u064a \u0627\u0644\u0634\u0627\u0645\u0644. \u0648\u0645\u0639 \u0627\u0633\u062a\u0645\u0631\u0627\u0631 \u062a\u0637\u0648\u0631\u0647\u0627\u060c \u062a\u0638\u0644 PyTorch \u0641\u064a \u0637\u0644\u064a\u0639\u0629 \u0627\u0628\u062a\u0643\u0627\u0631\u0627\u062a \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u060c \u0645\u0645\u0627 \u064a\u0624\u062f\u064a \u0625\u0644\u0649 \u0627\u0644\u062a\u0642\u062f\u0645 \u0641\u064a \u0627\u0644\u0628\u062d\u062b \u0648\u0627\u0644\u062a\u0637\u0628\u064a\u0642 \u0639\u0628\u0631 \u0645\u062e\u062a\u0644\u0641 \u0627\u0644\u0645\u062c\u0627\u0644\u0627\u062a. \u0639\u0646\u062f \u062f\u0645\u062c\u0647\u0627 \u0645\u0639 \u0642\u062f\u0631\u0627\u062a \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629\u060c \u062a\u0635\u0628\u062d \u0625\u0645\u0643\u0627\u0646\u064a\u0627\u062a \u062a\u0637\u0648\u064a\u0631 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0641\u0639\u0627\u0644 \u0648\u0627\u0644\u0622\u0645\u0646 \u0623\u0643\u062b\u0631 \u0648\u0627\u0639\u062f\u0629.<\/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\/ar\/wp-json\/wp\/v2\/wiki\/478588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/478588\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/469282"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=478588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}