{"id":11348,"date":"2021-04-18T16:47:42","date_gmt":"2021-04-18T12:17:42","guid":{"rendered":"https:\/\/shahaab-co.com\/mag\/?p=11348"},"modified":"2024-11-29T18:36:59","modified_gmt":"2024-11-29T15:06:59","slug":"pytorch-model-inference-using-onnx-and-caffe2","status":"publish","type":"post","link":"https:\/\/shahaab-co.com\/mag\/edu\/deep-learning\/pytorch-model-inference-using-onnx-and-caffe2\/","title":{"rendered":"\u0622\u0645\u0648\u0632\u0634 PyTorch \u0628\u0631\u0627\u06cc \u0645\u0628\u062a\u062f\u06cc\u0627\u0646 \u2013 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0645\u062f\u0644 \u0628\u0627 ONNX \u0648 Caffe2"},"content":{"rendered":"

PyTorch \u067e\u0633 \u0627\u0632 \u0639\u0631\u0636\u0647 \u062f\u0631 \u0627\u06a9\u062a\u0628\u0631 \u06f2\u06f0\u06f1\u06f6 \u062a\u0648\u0633\u0637 \u0641\u06cc\u0633 \u0628\u0648\u06a9 \u060c \u0628\u0647 \u062f\u0644\u06cc\u0644 \u06a9\u0627\u0631\u0628\u0631\u067e\u0633\u0646\u062f \u0628\u0648\u062f\u0646 \u060c \u0628\u0647 \u0633\u0631\u0639\u062a \u0645\u062d\u0628\u0648\u0628\u06cc\u062a \u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0627 \u0631\u0627\u0628\u0637 \u0645\u0634\u062e\u0635 \u0648 \u0633\u0627\u0632\u06af\u0627\u0631 \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646 \u060c \u0628\u0631\u0627\u06cc \u062a\u062d\u0642\u06cc\u0642 \u0648 \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u0633\u0631\u06cc\u0639 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a. PyTorch \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0622\u0633\u0627\u0646\u06cc \u06a9\u062f \u0634\u0645\u0627 \u0631\u0627 \u0627\u0634\u06a9\u0627\u0644 \u0632\u062f\u0627\u06cc\u06cc \u06a9\u0631\u062f\u0647 \u0648 \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u062f\u0644 \u0631\u0627 \u0645\u0648\u0631\u062f \u0622\u0632\u0645\u0627\u06cc\u0634 \u0642\u0631\u0627\u0631 \u062f\u0647\u062f.<\/p>\n

\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u060c \u062f\u0631 \u0628\u062d\u062b \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0648 \u062a\u0648\u0644\u06cc\u062f \u060c TensorFlow \u06af\u0648\u06af\u0644 \u060c \u0633\u0627\u0628\u0642\u0647 \u0628\u06cc\u0634\u062a\u0631\u06cc \u062f\u0627\u0631\u062f. \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632  TensorFlow Serving<\/a> \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0648 \u0646\u0635\u0628 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0628\u0648\u062f.<\/p>\n

\u0627\u0645\u0627 \u062f\u0631 \u0645\u0627\u0647 \u0645\u0647  \u06f2\u06f0\u06f1\u06f8 \u060c \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 PyTorch \u0628\u0627 Caffe2<\/a> \u0627\u062f\u063a\u0627\u0645 \u0634\u062f \u0648 \u062e\u0637 \u0644\u0648\u0644\u0647 ( Pipeline ) \u062e\u0648\u062f \u0631\u0627 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u06a9\u0631\u062f\u060c \u0634\u0631\u0627\u06cc\u0637 \u062a\u063a\u06cc\u06cc\u0631 \u06a9\u0631\u062f. \u0627\u06cc\u0646 \u0647\u0645\u0627\u0646 \u062e\u0637 \u0644\u0648\u0644\u0647 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0641\u06cc\u0633\u0628\u0648\u06a9 \u0627\u0633\u062a. \u0622\u0646 \u0647\u0627 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PyTorch \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u0646\u062f \u0648 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Caffe2 \u0622\u0646 \u0631\u0627 \u0645\u0633\u062a\u0642\u0631 \u0645\u06cc \u06a9\u0646\u0646\u062f.<\/p>\n

\u062a\u0648\u062c\u0647<\/strong> : Caffe2 \u0631\u0627 \u0646\u0628\u0627\u06cc\u062f \u0628\u0627 Caffe<\/a> \u0627\u0634\u062a\u0628\u0627\u0647 \u06af\u0631\u0641\u062a\u060c \u0686\u0631\u0627\u06a9\u0647 \u0622\u0646 \u0647\u0627 \u062f\u0648 \u0686\u0627\u0631\u0686\u0648\u0628 \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u062a\u0641\u0627\u0648\u062a \u0647\u0633\u062a\u0646\u062f. Caffe \u062a\u0627 \u067e\u0646\u062c \u0633\u0627\u0644 \u067e\u06cc\u0634 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0648\u0631\u062f \u062a\u0648\u062c\u0647 \u0628\u0648\u062f\u060c \u0627\u0645\u0627 \u0627\u06a9\u0646\u0648\u0646 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f \u0645\u062c\u0628\u0648\u0628\u06cc\u062a \u0686\u0646\u062f\u0627\u0646\u06cc \u0646\u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f.<\/p>\n\n\n

\n
\n

\u0622\u0646\u0686\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062e\u0648\u0627\u0646\u062f :<\/p>\nToggle<\/span><\/path><\/svg><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n