Update 5_data_parallel_tutorial.ipynb

hipparic · Feb 19, 2019 · e2b5e87 · e2b5e87
1 parent 4de06da
commit e2b5e87
Showing 1 changed file with 7 additions and 7 deletions.
diff --git a/chapter1/5_data_parallel_tutorial.ipynb b/chapter1/5_data_parallel_tutorial.ipynb
@@ -14,26 +14,26 @@
    "metadata": {},
    "source": [
     "\n",
-    "数据并行(选读)\n",
+    "数据并行（选读）\n",
     "==========================\n",
-    "**Authors**: `Sung Kim <https://github.com/hunkim>`_ and `Jenny Kang <https://github.com/jennykang>`_\n",
+    "**Authors**: [Sung Kim](https://github.com/hunkim) and [Jenny Kang](https://github.com/jennykang)\n",
     "\n",
-    "在这个教程里,我们将学习如何使用``DataParallel``来使用多GPU. \n",
+    "在这个教程里，我们将学习如何使用 ``DataParallel`` 来使用多GPU。 \n",
     "\n",
-    "PyTorch非常容易的就可以使用多GPU,用如下方式把一个模型放到GPU上\n",
+    "PyTorch非常容易就可以使用多GPU，用如下方式把一个模型放到GPU上：\n",
     "\n",
     "```python\n",
     "\n",
     "    device = torch.device(\"cuda:0\")\n",
     "    model.to(device)\n",
     "```\n",
     " GPU:\n",
-    "然后复制所有的张量到GPU上\n",
+    "然后复制所有的张量到GPU上：\n",
     "```python\n",
     "\n",
     "    mytensor = my_tensor.to(device)\n",
     "```\n",
-    "请注意,只调用``my_tensor.to(device)``并没有复制张量到GPU上,而是返回了一个copy。所以你需要把它赋值给一个新的张量并在GPU上使用这个张量。\n",
+    "请注意，只调用``my_tensor.to(device)``并没有复制张量到GPU上，而是返回了一个copy。所以你需要把它赋值给一个新的张量并在GPU上使用这个张量。\n",
     "\n",
     "在多GPU上执行前向和反向传播是自然而然的事。\n",
     "但是PyTorch默认将只是用一个GPU。\n",
@@ -104,7 +104,7 @@
     "虚拟数据集\n",
     "-------------\n",
     "\n",
-    "制作一个虚拟（随机）数据集\n",
+    "制作一个虚拟（随机）数据集，\n",
     "你只需实现 `__getitem__`\n",
     "\n",
     "\n"