round_op.py 文件源码

def _spec_op_init(scalar_op, nfunc, nin, nout):
    def construct(symbol):
        symbolname = symbol.__name__
        msg = "no_inplace"
        n = "Elemwise{%s,%s}" % (symbolname, msg)
        rval = Elemwise(scalar_op, name=n,
            nfunc_spec=(nfunc and (nfunc, nin, nout)))

        if getattr(symbol, '__doc__', False):
            rval.__doc__ = symbol.__doc__ + '\n' + rval.__doc__

        # for the meaning of this see the ./epydoc script
        # it makes epydoc display rval as if it were a function, not an object
        rval.__epydoc_asRoutine = symbol
        rval.__module__ = 'tensor'

        pprint.assign(rval, printing.FunctionPrinter(symbolname))

        return rval
    return construct