mirror of https://github.com/alibaba/MNN.git
81 lines
2.2 KiB
Markdown
81 lines
2.2 KiB
Markdown
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## random
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```python
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module random
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```
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random模块提供了[numpy.random](https://numpy.org/doc/stable/reference/random/index.html)模块的部分函数，提供了生成随机数的功能。
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---
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### `rand(*args)`
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作用等同与 `numpy` 中的 [`np.random.rand`](https://numpy.org/doc/stable/reference/random/generated/numpy.random.rand.html) 函数，生成指定形状的随机数。
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参数：
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- `args:[int]` 输出随机数的形状
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返回：得到的随机变量
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返回类型：`Var`
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示例
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```python
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>>> np.random.rand([2, 3])
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array([[4.1702199e-01, 9.9718481e-01, 7.2032452e-01],
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[9.3255734e-01, 1.1438108e-04, 1.2812445e-01]], dtype=float32)
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```
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---
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### `randn(*args)`
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作用等同与 `numpy` 中的 [`np.random.randn`](https://numpy.org/doc/stable/reference/random/generated/numpy.random.randn.html) 函数，生成指定形状的随机数。
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参数：
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- `args:[int]` 输出随机数的形状
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返回：得到的随机变量
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返回类型：`Var`
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示例
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```python
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>>> np.random.randn([2, 3])
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array([[4.1702199e-01, 9.9718481e-01, 7.2032452e-01],
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[9.3255734e-01, 1.1438108e-04, 1.2812445e-01]], dtype=float32)
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```
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---
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### `randint(low, high=None, size=None, dtype=_F.int)`
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作用等同与 `numpy` 中的 [`np.random.randint`](https://numpy.org/doc/stable/reference/random/generated/numpy.random.randint.html) 函数，生成指定形状,范围的随机数。
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参数：
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- `low:scalar` 输出随机数的最小值
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- `high:scalar` 输出随机数的最大值
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- `size:[int]` 输出随机数的形状
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- `dtype:dtype，输出随机数的类型` 输出随机数的类型，默认为int
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返回：得到的随机变量
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返回类型：`Var`
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示例
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```python
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>>> np.random.randint(0, 4, size=10, dtype=np.int32)
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array([1, 3, 2, 3, 0, 0, 1, 3, 0, 0], dtype=int32)
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```
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---
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### `random(shape)`
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作用等同与 `numpy` 中的 [`np.random.random`](https://numpy.org/doc/stable/reference/random/generated/numpy.random.random.html) 函数，生成指定形状的随机数。
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参数：
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- `shape:[int]` 输出随机数的形状
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返回：得到的随机变量
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返回类型：`Var`
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示例
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```python
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>>> np.random.random([2, 3])
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array([[4.1702199e-01, 9.9718481e-01, 7.2032452e-01],
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[9.3255734e-01, 1.1438108e-04, 1.2812445e-01]], dtype=float32)
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```
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