upgrade some code from 2.0-beta to 2.0-rc

paddle2.0_docs/getting_started/getting_started.ipynb

@@ -31,22 +31,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2.0.0-beta0\n"
+      "2.0.0-rc0\n"
      ]
     }
    ],
    "source": [
     "import paddle\n",
     "\n",
-    "print(paddle.__version__)\n",
-    "paddle.disable_static()"
+    "print(paddle.__version__)"
    ]
   },
   {
@@ -69,12 +68,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
-    "train_dataset = paddle.vision.datasets.MNIST(mode='train', chw_format=False)\n",
-    "val_dataset =  paddle.vision.datasets.MNIST(mode='test', chw_format=False)"
+    "train_dataset = paddle.vision.datasets.MNIST(mode='train')\n",
+    "val_dataset =  paddle.vision.datasets.MNIST(mode='test')"
    ]
   },
   {
@@ -88,11 +87,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
     "mnist = paddle.nn.Sequential(\n",
+    "    paddle.nn.Flatten(),\n",
     "    paddle.nn.Linear(784, 512),\n",
     "    paddle.nn.ReLU(),\n",
     "    paddle.nn.Dropout(0.2),\n",
@@ -111,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "metadata": {
     "scrolled": true
    },
@@ -121,22 +121,19 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/5\n",
-      "step 1875/1875 [==============================] - loss: 0.2250 - acc: 0.9025 - 9ms/step          \n",
+      "step 1875/1875 [==============================] - loss: 0.3993 - acc: 0.8775 - 7ms/step          \n",
       "Epoch 2/5\n",
-      "step 1875/1875 [==============================] - loss: 0.0969 - acc: 0.9462 - 13ms/step          \n",
+      "step 1875/1875 [==============================] - loss: 0.2884 - acc: 0.9061 - 10ms/step          \n",
       "Epoch 3/5\n",
-      "step 1875/1875 [==============================] - loss: 0.1035 - acc: 0.9550 - 12ms/step          \n",
+      "step 1875/1875 [==============================] - loss: 0.2867 - acc: 0.9131 - 12ms/step          \n",
       "Epoch 4/5\n",
-      "step 1875/1875 [==============================] - loss: 0.0316 - acc: 0.9603 - 12ms/step          \n",
+      "step 1875/1875 [==============================] - loss: 0.1562 - acc: 0.9171 - 12ms/step          \n",
       "Epoch 5/5\n",
-      "step 1875/1875 [==============================] - loss: 0.1771 - acc: 0.9637 - 12ms/step          \n"
+      "step 1875/1875 [==============================] - loss: 0.2551 - acc: 0.9204 - 18ms/step          \n"
      ]
     }
    ],
    "source": [
-    "# 开启动态图模式\n",
-    "paddle.disable_static()  \n",
-    "\n",
     "# 预计模型结构生成模型实例，便于进行后续的配置、训练和验证\n",
     "model = paddle.Model(mnist)  \n",
     "\n",
@@ -163,16 +160,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'loss': [3.576278e-07], 'acc': 0.9666}"
+       "{'loss': [0.0], 'acc': 0.9457}"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -187,9 +184,7 @@
    "source": [
     "那么初步训练得到的模型效果在97%附近，我们可以进一步通过调整其中的训练参数来提升我们的模型精度。\n",
     "\n",
-    "至此我们可以知道如何通过飞桨的几个简单API来快速完成一个深度学习任务，大家可以针对自己的需求来更换其中的代码，如果需要使用自己的数据集，那么可以更换数据集加载部分程序，如果需要替换模型，那么可以更改模型代码实现等等。我们也为大家提供了很多其他场景的示例代码来教大家如何使用我们的飞桨API，大家可以查看下面的链接或通过页面导航来查看自己感兴趣的部分。\n",
-    "\n",
-    "TODO：补充其他示例教程的快速链接。"
+    "至此我们可以知道如何通过飞桨的几个简单API来快速完成一个深度学习任务，大家可以针对自己的需求来更换其中的代码，如果需要使用自己的数据集，那么可以更换数据集加载部分程序，如果需要替换模型，那么可以更改模型代码实现等等。我们也为大家提供了很多其他场景的示例代码来教大家如何使用我们的飞桨API，大家可以查看下面的链接或通过页面导航来查看自己感兴趣的部分。"
    ]
   }
  ],