finish tensor chapter

docs/1.7/03_t.md

@@ -260,3 +260,33 @@ print(f"n: {n}")
 t: tensor([2., 2., 2., 2., 2.])
 n: [2. 2. 2. 2. 2.]
 ```
+
+**2. 由Numpy array数组转为张量**
+
+```python
+n = np.ones(5)
+t = torch.from_numpy(n)
+```
+
+修改`Numpy array`数组的值，则张量值也会随之改变。
+
+```python
+np.add(n, 1, out=n)
+print(f"t: {t}")
+print(f"n: {n}")
+```
+
+显示:
+
+```python
+t: tensor([2., 2., 2., 2., 2.], dtype=torch.float64)
+n: [2. 2. 2. 2. 2.]
+```
+
+**脚本的总运行时间**：（0 分钟 0.045 秒）
+
+[下载 Python 源码：`tensor_tutorial.py`](https://pytorch.org/tutorials/_downloads/092fba3c36cb2ab226bfdaa78248b310/tensor_tutorial.py)
+
+[下载 Jupyter 笔记本：`tensor_tutorial.ipynb`](https://pytorch.org/tutorials/_downloads/3c2b25b8a9f72db7780a6bf9b5fc9f62/tensor_tutorial.ipynb)
+
+[由 Sphinx 画廊](https://sphinx-gallery.readthedocs.io)生成的画廊
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