{"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\/ar\/wiki\/pytorch-lightning\/","title":{"rendered":"\u0644\u0627\u064a\u062a\u0646\u064a\u0646\u063a \u0628\u0627\u064a \u062a\u0648\u0631\u0634"},"content":{"rendered":"<p>PyTorch Lightning \u0639\u0628\u0627\u0631\u0629 \u0639\u0646 \u063a\u0644\u0627\u0641 \u062e\u0641\u064a\u0641 \u0627\u0644\u0648\u0632\u0646 \u0648\u0645\u0631\u0646 \u0644\u0644\u063a\u0627\u064a\u0629 \u0644\u0625\u0637\u0627\u0631 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0627\u0644\u0645\u0639\u0631\u0648\u0641 PyTorch. \u0641\u0647\u0648 \u064a\u0648\u0641\u0631 \u0648\u0627\u062c\u0647\u0629 \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u0645\u0633\u062a\u0648\u0649 \u0644\u0640 PyTorch\u060c \u0645\u0645\u0627 \u064a\u0628\u0633\u0637 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u062f\u0648\u0646 \u0627\u0644\u062a\u0636\u062d\u064a\u0629 \u0628\u0627\u0644\u0645\u0631\u0648\u0646\u0629. \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0627\u0647\u062a\u0645\u0627\u0645 \u0628\u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u064a\u0629\u060c \u064a\u0633\u0645\u062d PyTorch Lightning \u0644\u0644\u0628\u0627\u062d\u062b\u064a\u0646 \u0648\u0627\u0644\u0645\u0647\u0646\u062f\u0633\u064a\u0646 \u0628\u0627\u0644\u062a\u0631\u0643\u064a\u0632 \u0639\u0644\u0649 \u0627\u0644\u0623\u0641\u0643\u0627\u0631 \u0648\u0627\u0644\u0645\u0641\u0627\u0647\u064a\u0645 \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629 \u0641\u064a \u0646\u0645\u0627\u0630\u062c\u0647\u0645.<\/p>\n<h2>\u062a\u0627\u0631\u064a\u062e \u0623\u0635\u0644 PyTorch Lightning \u0648\u0623\u0648\u0644 \u0630\u0643\u0631 \u0644\u0647<\/h2>\n<p>\u062a\u0645 \u062a\u0642\u062f\u064a\u0645 PyTorch Lightning \u0628\u0648\u0627\u0633\u0637\u0629 \u0648\u064a\u0644\u064a\u0627\u0645 \u0641\u0627\u0644\u0643\u0648\u0646 \u0623\u062b\u0646\u0627\u0621 \u062d\u0635\u0648\u0644\u0647 \u0639\u0644\u0649 \u062f\u0631\u062c\u0629 \u0627\u0644\u062f\u0643\u062a\u0648\u0631\u0627\u0647. \u0641\u064a \u062c\u0627\u0645\u0639\u0629 \u0646\u064a\u0648\u064a\u0648\u0631\u0643. \u0643\u0627\u0646 \u0627\u0644\u062f\u0627\u0641\u0639 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0647\u0648 \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0643\u062b\u064a\u0631 \u0645\u0646 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u0645\u062a\u0643\u0631\u0631\u0629 \u0627\u0644\u0645\u0637\u0644\u0648\u0628\u0629 \u0641\u064a PyTorch \u0627\u0644\u0646\u0642\u064a \u0645\u0639 \u0627\u0644\u062d\u0641\u0627\u0638 \u0639\u0644\u0649 \u0627\u0644\u0645\u0631\u0648\u0646\u0629 \u0648\u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0648\u0633\u0639. \u062a\u0645 \u0625\u0635\u062f\u0627\u0631 PyTorch Lightning \u0641\u064a \u0627\u0644\u0628\u062f\u0627\u064a\u0629 \u0641\u064a \u0639\u0627\u0645 2019\u060c \u0648\u0633\u0631\u0639\u0627\u0646 \u0645\u0627 \u0627\u0643\u062a\u0633\u0628 \u0634\u0639\u0628\u064a\u0629 \u0641\u064a \u0645\u062c\u062a\u0645\u0639 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0628\u0633\u0628\u0628 \u0628\u0633\u0627\u0637\u062a\u0647 \u0648\u0642\u0648\u062a\u0647.<\/p>\n<h2>\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062a\u0641\u0635\u064a\u0644\u064a\u0629 \u062d\u0648\u0644 PyTorch Lightning: \u062a\u0648\u0633\u064a\u0639 \u0627\u0644\u0645\u0648\u0636\u0648\u0639<\/h2>\n<p>\u064a\u0631\u0643\u0632 PyTorch Lightning \u0639\u0644\u0649 \u0647\u064a\u0643\u0644\u0629 \u0643\u0648\u062f PyTorch \u0644\u0641\u0635\u0644 \u0627\u0644\u0639\u0644\u0645 \u0639\u0646 \u0627\u0644\u0647\u0646\u062f\u0633\u0629. \u0648\u062a\u0634\u0645\u0644 \u0645\u064a\u0632\u0627\u062a\u0647 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0627 \u064a\u0644\u064a:<\/p>\n<ol>\n<li><strong>\u0643\u0648\u062f \u0627\u0644\u062a\u0646\u0638\u064a\u0645<\/strong>: \u064a\u0641\u0635\u0644 \u0643\u0648\u062f \u0627\u0644\u0628\u062d\u062b \u0639\u0646 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0645\u0645\u0627 \u064a\u0633\u0647\u0644 \u0641\u0647\u0645\u0647 \u0648\u062a\u0639\u062f\u064a\u0644\u0647.<\/li>\n<li><strong>\u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0648\u0633\u0639<\/strong>: \u064a\u0633\u0645\u062d \u0628\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0639\u0644\u0649 \u0648\u062d\u062f\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0633\u0648\u0645\u0627\u062a \u0623\u0648 \u0648\u062d\u062f\u0627\u062a TPU \u0623\u0648 \u062d\u062a\u0649 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629 \u062f\u0648\u0646 \u0623\u064a \u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629.<\/li>\n<li><strong>\u0627\u0644\u062a\u0643\u0627\u0645\u0644 \u0645\u0639 \u0627\u0644\u0623\u062f\u0648\u0627\u062a<\/strong>: \u064a\u0639\u0645\u0644 \u0645\u0639 \u0623\u062f\u0648\u0627\u062a \u0627\u0644\u062a\u0633\u062c\u064a\u0644 \u0648\u0627\u0644\u062a\u0635\u0648\u0631 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0645\u062b\u0644 TensorBoard \u0648Neptune.<\/li>\n<li><strong>\u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0639\u0627\u062f\u0629 \u0627\u0644\u0623\u0646\u062a\u0627\u062c<\/strong>: \u064a\u0648\u0641\u0631 \u0627\u0644\u062a\u062d\u0643\u0645 \u0641\u064a \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a\u0629 \u0641\u064a \u0639\u0645\u0644\u064a\u0629 \u0627\u0644\u062a\u062f\u0631\u064a\u0628\u060c \u0645\u0645\u0627 \u064a\u0636\u0645\u0646 \u0625\u0645\u0643\u0627\u0646\u064a\u0629 \u0625\u0639\u0627\u062f\u0629 \u0625\u0646\u062a\u0627\u062c \u0627\u0644\u0646\u062a\u0627\u0626\u062c.<\/li>\n<\/ol>\n<h2>\u0627\u0644\u0647\u064a\u0643\u0644 \u0627\u0644\u062f\u0627\u062e\u0644\u064a \u0644\u0640 PyTorch Lightning: \u0643\u064a\u0641 \u064a\u0639\u0645\u0644<\/h2>\n<p>\u064a\u0639\u062a\u0645\u062f PyTorch Lightning \u0639\u0644\u0649 \u0645\u0641\u0647\u0648\u0645 \u0623 <code data-no-translation=\"\">LightningModule<\/code>\u060c \u0627\u0644\u0630\u064a \u064a\u0646\u0638\u0645 \u0643\u0648\u062f PyTorch \u0625\u0644\u0649 5 \u0623\u0642\u0633\u0627\u0645:<\/p>\n<ol>\n<li><strong>\u0627\u0644\u062d\u0633\u0627\u0628\u0627\u062a (\u062a\u0645\u0631\u064a\u0631 \u0625\u0644\u0649 \u0627\u0644\u0623\u0645\u0627\u0645)<\/strong><\/li>\n<li><strong>\u062d\u0644\u0642\u0629 \u0627\u0644\u062a\u062f\u0631\u064a\u0628<\/strong><\/li>\n<li><strong>\u062d\u0644\u0642\u0629 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0627\u0644\u0635\u062d\u0629<\/strong><\/li>\n<li><strong>\u062d\u0644\u0642\u0629 \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631<\/strong><\/li>\n<li><strong>\u0645\u062d\u0633\u0646\u0627\u062a<\/strong><\/li>\n<\/ol>\n<p>\u0623 <code data-no-translation=\"\">Trainer<\/code> \u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0627\u0626\u0646 \u0644\u062a\u062f\u0631\u064a\u0628 \u0623 <code data-no-translation=\"\">LightningModule<\/code>. \u0625\u0646\u0647\u0627 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u062d\u0644\u0642\u0629 \u0627\u0644\u062a\u062f\u0631\u064a\u0628\u060c \u0648\u064a\u0645\u0643\u0646 \u062a\u0645\u0631\u064a\u0631 \u062a\u0643\u0648\u064a\u0646\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 \u0625\u0644\u064a\u0647\u0627. \u062d\u0644\u0642\u0629 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0622\u0644\u064a\u0629\u060c \u0645\u0645\u0627 \u064a\u0633\u0645\u062d \u0644\u0644\u0645\u0637\u0648\u0631 \u0628\u0627\u0644\u062a\u0631\u0643\u064a\u0632 \u0639\u0644\u0649 \u0627\u0644\u0645\u0646\u0637\u0642 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0644\u0644\u0646\u0645\u0648\u0630\u062c.<\/p>\n<h2>\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0644\u0628\u0631\u0646\u0627\u0645\u062c PyTorch Lightning<\/h2>\n<p>\u062a\u0634\u0645\u0644 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0644\u0628\u0631\u0646\u0627\u0645\u062c PyTorch Lightning \u0645\u0627 \u064a\u0644\u064a:<\/p>\n<ul>\n<li><strong>\u0628\u0633\u0627\u0637\u0629 \u0627\u0644\u0643\u0648\u062f<\/strong>: \u064a\u0632\u064a\u0644 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a\u0629\u060c \u0645\u0645\u0627 \u064a\u0633\u0645\u062d \u0628\u0642\u0627\u0639\u062f\u0629 \u062a\u0639\u0644\u064a\u0645\u0627\u062a \u0628\u0631\u0645\u062c\u064a\u0629 \u0623\u0643\u062b\u0631 \u0642\u0627\u0628\u0644\u064a\u0629 \u0644\u0644\u0642\u0631\u0627\u0621\u0629 \u0648\u0627\u0644\u0635\u064a\u0627\u0646\u0629.<\/li>\n<li><strong>\u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0648\u0633\u0639<\/strong>: \u0645\u0646 \u0627\u0644\u0628\u062d\u062b \u0625\u0644\u0649 \u0627\u0644\u0625\u0646\u062a\u0627\u062c\u060c \u0641\u0647\u0648 \u064a\u0648\u0641\u0631 \u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0648\u0633\u0639 \u0639\u0628\u0631 \u0627\u0644\u0623\u062c\u0647\u0632\u0629 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629.<\/li>\n<li><strong>\u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0639\u0627\u062f\u0629 \u0627\u0644\u0623\u0646\u062a\u0627\u062c<\/strong>: \u064a\u0636\u0645\u0646 \u0646\u062a\u0627\u0626\u062c \u0645\u062a\u0633\u0642\u0629 \u0639\u0628\u0631 \u062c\u0648\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629.<\/li>\n<li><strong>\u0627\u0644\u0645\u0631\u0648\u0646\u0629<\/strong>: \u0645\u0639 \u062a\u0628\u0633\u064a\u0637 \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u062c\u0648\u0627\u0646\u0628\u060c \u0641\u0625\u0646\u0647 \u064a\u062d\u062a\u0641\u0638 \u0628\u0645\u0631\u0648\u0646\u0629 PyTorch \u0627\u0644\u0646\u0642\u064a\u0629.<\/li>\n<\/ul>\n<h2>\u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0628\u0631\u0642 PyTorch<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u062a\u0635\u0646\u064a\u0641 PyTorch Lightning \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0633\u0647\u0648\u0644\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647 \u0641\u064a \u0633\u064a\u0646\u0627\u0631\u064a\u0648\u0647\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629:<\/p>\n<table>\n<thead>\n<tr>\n<th><strong>\u064a\u0643\u062a\u0628<\/strong><\/th>\n<th><strong>\u0648\u0635\u0641<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0627\u0644\u0628\u062d\u062b \u0648 \u0627\u0644\u062a\u0646\u0645\u064a\u0629<\/td>\n<td>\u0645\u0646\u0627\u0633\u0628\u0629 \u0644\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0623\u0648\u0644\u064a\u0629 \u0648\u0627\u0644\u0645\u0634\u0627\u0631\u064a\u0639 \u0627\u0644\u0628\u062d\u062b\u064a\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0634\u0631 \u0627\u0644\u0625\u0646\u062a\u0627\u062c<\/td>\n<td>\u062c\u0627\u0647\u0632 \u0644\u0644\u062a\u0643\u0627\u0645\u0644 \u0641\u064a \u0623\u0646\u0638\u0645\u0629 \u0627\u0644\u0625\u0646\u062a\u0627\u062c<\/td>\n<\/tr>\n<tr>\n<td>\u0623\u063a\u0631\u0627\u0636 \u062a\u0639\u0644\u064a\u0645\u064a\u0629<\/td>\n<td>\u064a\u0633\u062a\u062e\u062f\u0645 \u0641\u064a \u062a\u062f\u0631\u064a\u0633 \u0645\u0641\u0627\u0647\u064a\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0637\u0631\u0642 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 PyTorch Lightning \u0648\u0645\u0634\u0627\u0643\u0644\u0647 \u0648\u062d\u0644\u0648\u0644\u0647\u0627<\/h2>\n<p>\u062a\u062a\u0636\u0645\u0646 \u0637\u0631\u0642 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 PyTorch Lightning \u0645\u0627 \u064a\u0644\u064a:<\/p>\n<ul>\n<li><strong>\u0628\u062d\u062b<\/strong>: \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0623\u0648\u0644\u064a\u0629 \u0627\u0644\u0633\u0631\u064a\u0639\u0629 \u0644\u0644\u0646\u0645\u0627\u0630\u062c.<\/li>\n<li><strong>\u062a\u0639\u0644\u064a\u0645<\/strong>: \u062a\u0628\u0633\u064a\u0637 \u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u062a\u0639\u0644\u0645 \u0644\u0644\u0642\u0627\u062f\u0645\u064a\u0646 \u0627\u0644\u062c\u062f\u062f.<\/li>\n<li><strong>\u0625\u0646\u062a\u0627\u062c<\/strong>: \u0627\u0644\u0627\u0646\u062a\u0642\u0627\u0644 \u0627\u0644\u0633\u0644\u0633 \u0645\u0646 \u0627\u0644\u0628\u062d\u062b \u0625\u0644\u0649 \u0627\u0644\u0646\u0634\u0631.<\/li>\n<\/ul>\n<p>\u0642\u062f \u062a\u0634\u0645\u0644 \u0627\u0644\u0645\u0634\u0627\u0643\u0644 \u0648\u0627\u0644\u062d\u0644\u0648\u0644 \u0645\u0627 \u064a\u0644\u064a:<\/p>\n<ul>\n<li><strong>\u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f<\/strong>: \u0627\u0644\u062d\u0644 \u0645\u0639 \u0627\u0644\u062a\u0648\u0642\u0641 \u0627\u0644\u0645\u0628\u0643\u0631 \u0623\u0648 \u0627\u0644\u062a\u0646\u0638\u064a\u0645.<\/li>\n<li><strong>\u0627\u0644\u062a\u0639\u0642\u064a\u062f \u0641\u064a \u0627\u0644\u0646\u0634\u0631<\/strong>: \u0627\u0644\u062d\u0627\u0648\u064a\u0627\u062a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0623\u062f\u0648\u0627\u062a \u0645\u062b\u0644 Docker.<\/li>\n<\/ul>\n<h2>\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0648\u0645\u0642\u0627\u0631\u0646\u0627\u062a \u0623\u062e\u0631\u0649 \u0645\u0639 \u0623\u062f\u0648\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629<\/h2>\n<table>\n<thead>\n<tr>\n<th><strong>\u0635\u0641\u0629 \u0645\u0645\u064a\u0632\u0629<\/strong><\/th>\n<th><strong>\u0644\u0627\u064a\u062a\u0646\u064a\u0646\u063a \u0628\u0627\u064a \u062a\u0648\u0631\u0634<\/strong><\/th>\n<th><strong>\u0628\u0627\u064a\u062a\u0648\u0631\u062a\u0634 \u0627\u0644\u0646\u0642\u064a<\/strong><\/th>\n<th><strong>TensorFlow<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0628\u0633\u0627\u0637\u0629<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<td>\u0648\u0627\u0633\u0637\u0629<\/td>\n<td>\u0642\u0644\u064a\u0644<\/td>\n<\/tr>\n<tr>\n<td>\u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0648\u0633\u0639<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<td>\u0648\u0627\u0633\u0637\u0629<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0645\u0631\u0648\u0646\u0629<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<td>\u0648\u0627\u0633\u0637\u0629<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0648\u062c\u0647\u0627\u062a \u0646\u0638\u0631 \u0648\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0640 PyTorch Lightning<\/h2>\n<p>\u062a\u0633\u062a\u0645\u0631 PyTorch Lightning \u0641\u064a \u0627\u0644\u062a\u0637\u0648\u0631\u060c \u0645\u0639 \u0627\u0644\u062a\u0637\u0648\u064a\u0631 \u0627\u0644\u0645\u0633\u062a\u0645\u0631 \u0641\u064a \u0645\u062c\u0627\u0644\u0627\u062a \u0645\u062b\u0644:<\/p>\n<ul>\n<li><strong>\u0627\u0644\u062a\u0643\u0627\u0645\u0644 \u0645\u0639 \u0627\u0644\u0623\u062c\u0647\u0632\u0629 \u0627\u0644\u062c\u062f\u064a\u062f\u0629<\/strong>: \u0627\u0644\u062a\u0643\u064a\u0641 \u0645\u0639 \u0623\u062d\u062f\u062b \u0648\u062d\u062f\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0633\u0648\u0645\u0627\u062a \u0648\u0648\u062d\u062f\u0627\u062a TPU.<\/li>\n<li><strong>\u0627\u0644\u062a\u0639\u0627\u0648\u0646 \u0645\u0639 \u0627\u0644\u0645\u0643\u062a\u0628\u0627\u062a \u0627\u0644\u0623\u062e\u0631\u0649<\/strong>: \u0627\u0644\u062a\u0643\u0627\u0645\u0644 \u0627\u0644\u0633\u0644\u0633 \u0645\u0639 \u0623\u062f\u0648\u0627\u062a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0627\u0644\u0623\u062e\u0631\u0649.<\/li>\n<li><strong>\u0636\u0628\u0637 \u062a\u0644\u0642\u0627\u0626\u064a \u0644\u0644\u0645\u0639\u0644\u0645\u0627\u062a \u0627\u0644\u0641\u0627\u0626\u0642\u0629<\/strong>: \u0623\u062f\u0648\u0627\u062a \u0644\u062a\u0633\u0647\u064a\u0644 \u062a\u062d\u0633\u064a\u0646 \u0645\u0639\u0644\u0645\u0627\u062a \u0627\u0644\u0646\u0645\u0648\u0630\u062c.<\/li>\n<\/ul>\n<h2>\u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0648 \u0631\u0628\u0637\u0647\u0627 \u0628\u0640 PyTorch Lightning<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0643\u0648\u0646 \u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644 \u0645\u062b\u0644 \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u064a\u0648\u0641\u0631\u0647\u0627 OneProxy \u0641\u0639\u0627\u0644\u0629 \u0641\u064a PyTorch Lightning \u0645\u0646 \u062e\u0644\u0627\u0644:<\/p>\n<ul>\n<li><strong>\u0636\u0645\u0627\u0646 \u0627\u0644\u0646\u0642\u0644 \u0627\u0644\u0622\u0645\u0646 \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/strong>: \u0623\u062b\u0646\u0627\u0621 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u0648\u0632\u0639 \u0639\u0628\u0631 \u0645\u0648\u0627\u0642\u0639 \u0645\u062a\u0639\u062f\u062f\u0629.<\/li>\n<li><strong>\u062a\u0639\u0632\u064a\u0632 \u0627\u0644\u062a\u0639\u0627\u0648\u0646<\/strong>: \u0645\u0646 \u062e\u0644\u0627\u0644 \u062a\u0648\u0641\u064a\u0631 \u0627\u062a\u0635\u0627\u0644\u0627\u062a \u0622\u0645\u0646\u0629 \u0628\u064a\u0646 \u0627\u0644\u0628\u0627\u062d\u062b\u064a\u0646 \u0627\u0644\u0639\u0627\u0645\u0644\u064a\u0646 \u0641\u064a \u0627\u0644\u0645\u0634\u0627\u0631\u064a\u0639 \u0627\u0644\u0645\u0634\u062a\u0631\u0643\u0629.<\/li>\n<li><strong>\u0625\u062f\u0627\u0631\u0629 \u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/strong>: \u0627\u0644\u062a\u062d\u0643\u0645 \u0641\u064a \u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062d\u0633\u0627\u0633\u0629.<\/li>\n<\/ul>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<ul>\n<li>\u0627\u0644\u0645\u0648\u0642\u0639 \u0627\u0644\u0631\u0633\u0645\u064a \u0644\u0640 PyTorch Lightning: <a href=\"https:\/\/www.pytorchlightning.ai\/\" target=\"_new\" rel=\"noopener nofollow\">pytorchlightning.ai<\/a><\/li>\n<li>\u0645\u0633\u062a\u0648\u062f\u0639 PyTorch Lightning \u0639\u0644\u0649 GitHub: <a href=\"https:\/\/github.com\/PyTorchLightning\/pytorch-lightning\" target=\"_new\" rel=\"noopener nofollow\">\u062c\u064a\u062b\u0628<\/a><\/li>\n<li>\u0627\u0644\u0645\u0648\u0642\u0639 \u0627\u0644\u0631\u0633\u0645\u064a OneProxy: <a href=\"https:\/\/oneproxy.pro\/ar\/\" target=\"_new\" rel=\"noopener\">com.oneproxy.pro<\/a><\/li>\n<\/ul>\n<p>PyTorch Lightning \u0647\u064a \u0623\u062f\u0627\u0629 \u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a\u0629 \u0648\u0645\u0631\u0646\u0629 \u062a\u064f\u062d\u062f\u062b \u062b\u0648\u0631\u0629 \u0641\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u0639\u0627\u0645\u0644 \u0627\u0644\u0628\u0627\u062d\u062b\u064a\u0646 \u0648\u0627\u0644\u0645\u0647\u0646\u062f\u0633\u064a\u0646 \u0645\u0639 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642. \u0628\u0641\u0636\u0644 \u0645\u064a\u0632\u0627\u062a \u0645\u062b\u0644 \u0628\u0633\u0627\u0637\u0629 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0648\u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0648\u0633\u0639\u060c \u0641\u0647\u0648 \u0628\u0645\u062b\u0627\u0628\u0629 \u062c\u0633\u0631 \u0623\u0633\u0627\u0633\u064a \u0628\u064a\u0646 \u0627\u0644\u0628\u062d\u062b \u0648\u0627\u0644\u0625\u0646\u062a\u0627\u062c\u060c \u0648\u0645\u0639 \u062e\u062f\u0645\u0627\u062a \u0645\u062b\u0644 OneProxy\u060c \u064a\u062a\u0645 \u062a\u0648\u0633\u064a\u0639 \u0627\u0644\u0625\u0645\u0643\u0627\u0646\u064a\u0627\u062a \u0628\u0634\u0643\u0644 \u0623\u0643\u0628\u0631.<\/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\/ar\/wp-json\/wp\/v2\/wiki\/478589","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\/478589\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/469284"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=478589"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}