rerun code with 2.0-beta whl (#895)

* upgrade code to 2.0-beta * add high level api doc * add define callback/metric/loss chapter * add define callback/metric/loss chapter * rerun code with 2.0-beta whl
PaddlePaddle · Sep 11, 2020 · 5400a6b · 5400a6b
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diff --git a/paddle2.0_docs/getting_started/getting_started.ipynb b/paddle2.0_docs/getting_started/getting_started.ipynb
@@ -31,16 +31,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'0.0.0'"
+       "'2.0.0-beta0'"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }

diff --git a/paddle2.0_docs/high_level_api/high_level_api.ipynb b/paddle2.0_docs/high_level_api/high_level_api.ipynb
@@ -1,25 +1,4 @@
 {
- "metadata": {
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.4-final"
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- "nbformat": 4,
- "nbformat_minor": 2,
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@@ -57,16 +36,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": "'0.0.0'"
+      "text/plain": [
+       "'2.0.0-beta0'"
+      ]
      },
+     "execution_count": 1,
      "metadata": {},
-     "execution_count": 2
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -115,9 +96,12 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
-     "text": "视觉相关数据集： ['DatasetFolder', 'ImageFolder', 'MNIST', 'Flowers', 'Cifar10', 'Cifar100', 'VOC2012']\n自然语言相关数据集： ['Conll05st', 'Imdb', 'Imikolov', 'Movielens', 'MovieReviews', 'UCIHousing', 'WMT14', 'WMT16']\n"
+     "output_type": "stream",
+     "text": [
+      "视觉相关数据集： ['DatasetFolder', 'ImageFolder', 'MNIST', 'Flowers', 'Cifar10', 'Cifar100', 'VOC2012']\n",
+      "自然语言相关数据集： ['Conll05st', 'Imdb', 'Imikolov', 'Movielens', 'MovieReviews', 'UCIHousing', 'WMT14', 'WMT16']\n"
+     ]
     }
    ],
    "source": [
@@ -138,7 +122,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# 测试数据集\n",
+    "# 训练数据集\n",
     "train_dataset = vision.datasets.MNIST(mode='train')\n",
     "\n",
     "# 验证数据集\n",
@@ -162,9 +146,20 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
-     "text": "=============train dataset=============\ntraindata1 label1\ntraindata2 label2\ntraindata3 label3\ntraindata4 label4\n=============evaluation dataset=============\ntestdata1 label1\ntestdata2 label2\ntestdata3 label3\ntestdata4 label4\n"
+     "output_type": "stream",
+     "text": [
+      "=============train dataset=============\n",
+      "traindata1 label1\n",
+      "traindata2 label2\n",
+      "traindata3 label3\n",
+      "traindata4 label4\n",
+      "=============evaluation dataset=============\n",
+      "testdata1 label1\n",
+      "testdata2 label2\n",
+      "testdata3 label3\n",
+      "testdata4 label4\n"
+     ]
     }
    ],
    "source": [
@@ -893,5 +888,26 @@
     "有了用于推理部署的模型，就可以使用推理部署框架来完成预测服务部署，具体可以参见：[预测部署](https://www.paddlepaddle.org.cn/documentation/docs/zh/advanced_guide/inference_deployment/index_cn.html)， 包括服务端部署、移动端部署和模型压缩。"
    ]
   }
- ]
-}
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.7.4 64-bit",
+   "language": "python",
+   "name": "python37464bitc4da1ac836094043840bff631bedbf7f"
+  },
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+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}