(self, shape, dtype=None, name=None)
return self.__class__(
            backend=self.backend,
            shape=shape,
            dtype=dtype,
            allocator=self.allocator,
            base=new_base,
            gpudata=self.gpudata,
            strides=_contiguous_strides(shape),
            name=name,
            rounding=self.rounding)
Return a view: ary, where ary.size <= self.size.
        Allows easy sharing of temporary memory
Return a view: ary, where ary.size <= self.size.
        Allows easy sharing of temporary memory
Return a view : ary where ary . size < = self . size . Allows easy sharing of temporary memory
def share(self, shape, dtype=None, name=None):
        """
        Return a view: ary, where ary.size <= self.size.
        Allows easy sharing of temporary memory
        """
        size = np.prod(shape)
        if size > self.size:
            raise ValueError("total size of new array must <= size of parent")

        if not self.is_contiguous:
            raise TypeError("sharing of non-contigous "
                            "arrays is not yet supported")

        if dtype is None:
            dtype = self.dtype
        else:
            dtype = np.dtype(dtype)

        new_base = self if self.base is None else self.base

        return self.__class__(
            backend=self.backend,
            shape=shape,
            dtype=dtype,
            allocator=self.allocator,
            base=new_base,
            gpudata=self.gpudata,
            strides=_contiguous_strides(shape),
            name=name,
            rounding=self.rounding)
def share ( self , shape , dtype = None , name = None ) : size = np . prod ( shape ) if size > self . size : raise ValueError ( "total size of new array must <= size of parent" ) if not self . is_contiguous : raise TypeError ( "sharing of non-contigous " "arrays is not yet supported" ) if dtype is None : dtype = self . dtype else : dtype = np . dtype ( dtype ) new_base = self if self . base is None else self . base return self . __class__ ( backend = self . backend , shape = shape , dtype = dtype , allocator = self . allocator , base = new_base , gpudata = self . gpudata , strides = _contiguous_strides ( shape ) , name = name , rounding = self . rounding )