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Python NervanaGPU.sqrt方法代码示例

本文整理汇总了Python中nervanagpu.NervanaGPU.sqrt方法的典型用法代码示例。如果您正苦于以下问题:Python NervanaGPU.sqrt方法的具体用法?Python NervanaGPU.sqrt怎么用?Python NervanaGPU.sqrt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。


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示例1: GPU

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

#.........这里部分代码省略.........
        axes.

        Arguments:
            tsr (GPUTensor): the tensor on which to compute the variance
            axes (int, list, optional): the dimension(s) along which to
                                        variance.  If set to None, we will
                                        variance over all dimensions.
            out (GPUTensor): where the result will be stored.
            mean (GPUTensor): the tensor containing mean of tsr

        Returns:
            GPUTensor: reference to out
        """
        if mean is None:
            logger.error("GPUTensor requires mean to be specified.")
            raise ValueError("mean not specified")
        self.ng.mean(self.ng.square(tsr-mean),  axis=axes, out=out)
        return out

    def fabs(self, x, out):
        """
        Calculates absolute value of the elements in a tensor

        Arguments:
            x (GPUTensor): Input tensor
            out (GPUTensor): Output tensor

        Returns:
            GPUTensor: reference to out
        """
        self.ng.fabs(x, out=out)
        return out

    def sqrt(self, x, out):
        """
        Calculates square root of the elements in a tensor

        Arguments:
            x (GPUTensor): Input tensor
            out (GPUTensor): Output tensor

        Returns:
            GPUTensor: reference to out
        """
        self.ng.sqrt(x, out=out)
        return out

    def zeros(self, shape, dtype=default_dtype, persist_values=True):
        """
        Allocate a new GPUTensor and fill it with zeros.

        Arguments:
            shape (tupel): Shape of the desired GPUTensor
            dtype (dtype): Optional datatype
            persist_values (bool, optional): If set to True (the default), the
                                             values assigned to this Tensor
                                             will persist across multiple begin
                                             and end calls.  Setting to False
                                             may provide a performance increase
                                             if values do not need to be
                                             maintained across such calls

        Returns:
            GPUTensor: output
        """
        return self.ng.zeros(shape, dtype=dtype)
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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