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fix: torch.tensor创建的torch张量与原numpy数组是不共享内存的 #1342

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fix: torch.tensor创建的torch张量与原numpy数组是不共享内存的 #1342

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4 changes: 2 additions & 2 deletions chapter_preliminaries/ndarray.md
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Original file line number Diff line number Diff line change
Expand Up @@ -602,7 +602,7 @@ computation(X, Y)

:begin_tab:`pytorch`
将深度学习框架定义的张量[**转换为NumPy张量（`ndarray`）**]很容易，反之也同样容易。
torch张量和numpy数组将共享它们的底层内存，就地操作更改一个张量也会同时更改另一个张量。
通过torch.numpy将torch张量转换为numpy数组，或是通过torch.from_numpy将numpy数组转换为torch张量，torch张量和numpy数组将共享它们的底层内存，就地操作更改一个张量也会同时更改另一个张量。而torch.tensor是为numpy数组新建一个副本，二者不共享内存。
:end_tab:

```{.python .input}
Expand All @@ -614,7 +614,7 @@ type(A), type(B)
```{.python .input}
#@tab pytorch
A = X.numpy()
B = torch.tensor(A)
B = torch.from_numpy(A)
type(A), type(B)
```

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