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update practice (#4679)
* update practice * update save_model
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‎docs/practices/cv/image_search.ipynb‎

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"Cache file /home/aistudio/.cache/paddle/dataset/cifar/cifar-10-python.tar.gz not found, downloading https://dataset.bj.bcebos.com/cifar/cifar-10-python.tar.gz \n",
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"IOPub message rate exceeded.\n",
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"To change this limit, set the config variable\n",
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"`--NotebookApp.iopub_msg_rate_limit`.\n",
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"`--NotebookApp.iopub_msg_rate_limit`.\n",
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"text": [
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"(50000, 3, 32, 32)\n",
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"(50000,)\n"
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}
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],
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"outputs": [],
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"source": [
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"import paddle.vision.transforms as T\n",
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"transform = T.Compose([T.Transpose((2, 0, 1))])\n",

‎docs/practices/jit/image_search_with_jit.ipynb‎

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‎docs/practices/quick_start/save_model.ipynb‎

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},
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"outputs": [
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"text": [
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"W0422 17:11:10.184468 3841 gpu_context.cc:244] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 11.0, Runtime API Version: 10.1\n",
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"W0422 17:11:10.189138 3841 gpu_context.cc:272] device: 0, cuDNN Version: 7.6.\n"
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"The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
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"Epoch 1/3\n"
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]
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{
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"name": "stdout",
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"The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
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"Epoch 1/3\n"
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"step 938/938 [==============================] - loss: 0.0882 - acc: 0.9377 - 30ms/step \n",
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"step 938/938 [==============================] - loss: 0.0100 - acc: 0.9474 - 30ms/step \n",
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"save checkpoint at /home/aistudio/mnist_checkpoint/0\n",
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"Eval begin...\n",
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"step 157/157 [==============================] - loss: 0.0015 - acc: 0.9771 - 30ms/step \n",
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"step 157/157 [==============================] - loss: 0.0044 - acc: 0.9801 - 28ms/step \n",
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"Eval samples: 10000\n",
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"Epoch 2/3\n",
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"step 938/938 [==============================] - loss: 0.0078 - acc: 0.9801 - 29ms/step \n",
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"step 938/938 [==============================] - loss: 0.0345 - acc: 0.9813 - 30ms/step \n",
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"save checkpoint at /home/aistudio/mnist_checkpoint/1\n",
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"Eval begin...\n",
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"step 157/157 [==============================] - loss: 2.8927e-04 - acc: 0.9814 - 28ms/step \n",
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"step 157/157 [==============================] - loss: 0.0013 - acc: 0.9844 - 27ms/step \n",
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"Eval samples: 10000\n",
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"Epoch 3/3\n",
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"step 938/938 [==============================] - loss: 0.0321 - acc: 0.9865 - 30ms/step \n",
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"step 938/938 [==============================] - loss: 0.0028 - acc: 0.9869 - 29ms/step \n",
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"save checkpoint at /home/aistudio/mnist_checkpoint/2\n",
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"Eval begin...\n",
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"step 157/157 [==============================] - loss: 3.5028e-04 - acc: 0.9829 - 31ms/step \n",
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"step 157/157 [==============================] - loss: 0.0013 - acc: 0.9872 - 28ms/step \n",
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"Eval samples: 10000\n",
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"save checkpoint at /home/aistudio/mnist_checkpoint/final\n"
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"text": [
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"The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
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"Epoch 1/2\n",
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"step 938/938 [==============================] - loss: 0.0107 - acc: 0.9886 - 30ms/step \n",
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"step 938/938 [==============================] - loss: 0.0036 - acc: 0.9895 - 29ms/step \n",
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"save checkpoint at /home/aistudio/mnist_checkpoint/0\n",
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"Eval begin...\n",
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"step 157/157 [==============================] - loss: 3.7397e-05 - acc: 0.9864 - 29ms/step \n",
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"step 157/157 [==============================] - loss: 0.0025 - acc: 0.9874 - 28ms/step \n",
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"Eval samples: 10000\n",
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"Epoch 2/2\n",
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"step 938/938 [==============================] - loss: 5.9229e-04 - acc: 0.9918 - 30ms/step \n",
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"step 938/938 [==============================] - loss: 8.8357e-04 - acc: 0.9925 - 29ms/step \n",
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"save checkpoint at /home/aistudio/mnist_checkpoint/1\n",
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"Eval begin...\n",
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"step 157/157 [==============================] - loss: 5.6621e-05 - acc: 0.9832 - 30ms/step \n",
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"step 157/157 [==============================] - loss: 4.4413e-04 - acc: 0.9884 - 28ms/step \n",
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"Eval samples: 10000\n",
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"save checkpoint at /home/aistudio/mnist_checkpoint/final\n"
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"text": [
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"The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
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"Epoch 1/2\n",
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"step 938/938 [==============================] - loss: 8.9464e-04 - acc: 0.9920 - 30ms/step \n",
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"step 938/938 [==============================] - loss: 0.0018 - acc: 0.9926 - 29ms/step \n",
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"Eval begin...\n",
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"step 157/157 [==============================] - loss: 2.2678e-05 - acc: 0.9851 - 28ms/step \n",
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"step 157/157 [==============================] - loss: 1.3860e-04 - acc: 0.9863 - 28ms/step \n",
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"Eval samples: 10000\n",
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"Epoch 2/2\n",
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"step 938/938 [==============================] - loss: 2.6110e-04 - acc: 0.9944 - 30ms/step \n",
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"step 938/938 [==============================] - loss: 1.5363e-04 - acc: 0.9949 - 30ms/step \n",
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"Eval begin...\n",
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"step 157/157 [==============================] - loss: 6.7650e-06 - acc: 0.9866 - 32ms/step \n",
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"step 157/157 [==============================] - loss: 1.5809e-04 - acc: 0.9880 - 29ms/step \n",
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"Eval samples: 10000\n"
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]
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}

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