2021-12-04 13:55:42 +08:00
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mindspore.ops.Erf
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=================
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2021-12-22 11:46:09 +08:00
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.. py:class:: mindspore.ops.Erf()
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2021-12-04 13:55:42 +08:00
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2021-12-22 11:46:09 +08:00
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逐元素计算 `x` 的高斯误差函数。
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2021-12-04 13:55:42 +08:00
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.. math::
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erf(x)=\frac{2} {\sqrt{\pi}} \int\limits_0^{x} e^{-t^{2}} dt
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**输入：**
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2021-12-22 11:46:09 +08:00
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- **x** (Tensor) - 高斯误差函数的输入Tensor。数据类型必须为float16或float32。任意维度小于8的Tensor。
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2021-12-04 13:55:42 +08:00
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**输出：**
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Tensor，具有与 `x` 相同的数据类型和shape。
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**异常：**
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- **TypeError** - `x` 的数据类型既不是float16也不是float32。
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**支持平台：**
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``Ascend`` ``GPU``
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**样例：**
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>>> x = Tensor(np.array([-1, 0, 1, 2, 3]), mindspore.float32)
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>>> erf = ops.Erf()
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>>> output = erf(x)
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>>> print(output)
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[-0.8427168 0. 0.8427168 0.99530876 0.99997765]
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