(significand, exponent, stream=None)
return result
Return a new array of floating point values composed from the
    entries of `significand` and `exponent`, paired together as
    `result = significand * 2**exponent`.
Return a new array of floating point values composed from the
    entries of `significand` and `exponent`, paired together as
    `result = significand * 2**exponent`.
Return a new array of floating point values composed from the entries of significand and exponent paired together as result = significand * 2 ** exponent .
def ldexp(significand, exponent, stream=None):
    """Return a new array of floating point values composed from the
    entries of `significand` and `exponent`, paired together as
    `result = significand * 2**exponent`.
    """
    if not significand.flags.forc or not exponent.flags.forc:
        raise RuntimeError(
            "only contiguous arrays may " "be used as arguments to this operation"
        )

    result = gpuarray.GPUArray(significand.shape, significand.dtype)

    func = elementwise.get_ldexp_kernel()
    func.prepared_async_call(
        significand._grid,
        significand._block,
        stream,
        significand.gpudata,
        exponent.gpudata,
        result.gpudata,
        significand.mem_size,
    )

    return result
def ldexp ( significand , exponent , stream = None ) : if not significand . flags . forc or not exponent . flags . forc : raise RuntimeError ( "only contiguous arrays may " "be used as arguments to this operation" ) result = gpuarray . GPUArray ( significand . shape , significand . dtype ) func = elementwise . get_ldexp_kernel ( ) func . prepared_async_call ( significand . _grid , significand . _block , stream , significand . gpudata , exponent . gpudata , result . gpudata , significand . mem_size , ) return result