forked from huawei/mindspore2022
45 lines
1.1 KiB
ReStructuredText
45 lines
1.1 KiB
ReStructuredText
mindspore.nn.HShrink
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=============================
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.. py:class:: mindspore.nn.HShrink(lambd=0.5)
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按元素计算Hard Shrink函数，公式定义如下：
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.. math::
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\text{HardShrink}(x) =
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\begin{cases}
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x, & \text{ if } x > \lambda \\
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x, & \text{ if } x < -\lambda \\
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0, & \text{ otherwise }
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\end{cases}
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**参数：**
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**lambd** (float) - Hard Shrink公式定义的阈值。默认值：0.5。
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**输入：**
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- **input_x** (Tensor) - Hard Shrink的输入，数据类型为float16或float32。
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**输出：**
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Tensor，shape和数据类型与输入相同。
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**支持平台：**
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``Ascend``
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**异常：**
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- **TypeError** - `lambd` 不是float。
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- **TypeError** - `input_x` 的dtype既不是float16也不是float32。
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**样例：**
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>>> input_x = Tensor(np.array([[ 0.5, 1, 2.0],[0.0533,0.0776,-2.1233]]),mstype.float32)
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>>> hshrink = nn.HShrink()
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>>> output = hshrink(input_x)
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>>> print(output)
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[[ 0. 1. 2. ]
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[ 0. 0. -2.1233]]
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