(self, a, a_min, a_max, out=None)
return self.minimum(self.maximum(a, a_min), a_max, out=out)
Performs element-wise clipping of Tensor `a`, storing the result in out.
        The clipped value will be between [a_min, a_max].

        Arguments:
            a (Tensor): the Tensor on which to perform the operation
            a_min (Tensor, numeric): lower bound for clip (inclusive).
            a_max (Tensor, numeric): upper bound for clip (inclusive).
            out (Tensor, optional): where the result will be stored. If out is
                                    None, only the op-tree will be returned.

        Returns:
            OpTreeNode: the resulting op-tree
Performs element-wise clipping of Tensor `a`, storing the result in out.
        The clipped value will be between [a_min, a_max].
Performs element - wise clipping of Tensor a storing the result in out . The clipped value will be between [ a_min a_max ] .
def clip(self, a, a_min, a_max, out=None):
        """
        Performs element-wise clipping of Tensor `a`, storing the result in out.
        The clipped value will be between [a_min, a_max].

        Arguments:
            a (Tensor): the Tensor on which to perform the operation
            a_min (Tensor, numeric): lower bound for clip (inclusive).
            a_max (Tensor, numeric): upper bound for clip (inclusive).
            out (Tensor, optional): where the result will be stored. If out is
                                    None, only the op-tree will be returned.

        Returns:
            OpTreeNode: the resulting op-tree
        """
        return self.minimum(self.maximum(a, a_min), a_max, out=out)
def clip ( self , a , a_min , a_max , out = None ) : return self . minimum ( self . maximum ( a , a_min ) , a_max , out = out )