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Python NervanaGPU.clip方法代码示例

本文整理汇总了Python中nervanagpu.NervanaGPU.clip方法的典型用法代码示例。如果您正苦于以下问题:Python NervanaGPU.clip方法的具体用法?Python NervanaGPU.clip怎么用?Python NervanaGPU.clip使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在nervanagpu.NervanaGPU的用法示例。


在下文中一共展示了NervanaGPU.clip方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: GPU

# 需要导入模块: from nervanagpu import NervanaGPU [as 别名]
# 或者: from nervanagpu.NervanaGPU import clip [as 别名]

#.........这里部分代码省略.........

    def equal(self, left, right, out):
        """
        Performs element-wise equality testing on each element of left and
        right, storing the result in out.  Each operand is assumed to be the
        same shape (or broadcastable as such).

        Arguments:
            left (GPUTensor, numeric): left-hand side operand.
            right (GPUTensor, numeric): right-hand side operand.
            out (GPUTensor): where the result will be stored.

        Returns:
            GPUTensor: reference to out
        """
        self.ng.equal(left, right, out=out)
        return out

    def not_equal(self, left, right, out):
        """
        Elementwise not equal testing

        Arguments:
            left (GPUTensor, numeric): left-hand side operand.
            right (GPUTensor, numeric): right-hand side operand.
            out (GPUTensor): where the result will be stored.

        Returns:
            GPUTensor: reference to out
        """
        self.ng.not_equal(left, right, out=out)
        return out

    def clip(self, a, a_min, a_max, out):
        """
        Elementwise clipping between a range of specified values

        Arguments:
            a (GPUTensor): input tensor.
            a_min (float): floor value.
            a_max (float): ceiling value.
            out (GPUTensor): where the result will be stored.

        Returns:
            GPUTensor: reference to out
        """
        self.ng.clip(a, a_min, a_max, out=out)
        return out

    def log(self, a, out):
        """
        Elementwise base-e logarithm

        Arguments:
            a (GPUTensor): input tensor.
            out (GPUTensor): where the result will be stored.

        Returns:
            GPUTensor: reference to out
        """
        self.ng.log(a, out=out)
        return out

    def tanh(self, a, out):
        """
        Elementwise tanh
开发者ID:YouVentures,项目名称:neon,代码行数:70,代码来源:gpu.py


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