human
I wrote the below code

    if (not b):
        (cols, rows) = a.shape
        strides = ((a.dtype.itemsize * cols), a.dtype.itemsize)
        b = cuda.cudadrv.devicearray.DeviceNDArray((rows, cols), strides, dtype=a.dtype)
    dt = nps.from_dtype(a.dtype)
    tpb = driver.get_device().MAX_THREADS_PER_BLOCK
    tile_width = int(math.pow(2, (math.log(tpb, 2) / 2)))
    tile_height = int((tpb / tile_width))
    tile_shape = (tile_height, (tile_width + 1))
    @cuda.jit
    def kernel(input, output):
        tile = cuda.shared.array(shape=tile_shape, dtype=dt)
        tx = cuda.threadIdx.x
        ty = cuda.threadIdx.y
        bx = (cuda.blockIdx.x * cuda.blockDim.x)
        by = (cuda.blockIdx.y * cuda.blockDim.y)
        x = (by + tx)
        y = (bx + ty)
        if (((by + ty) < input.shape[0]) and ((bx + tx) < input.shape[1])):
            tile[(ty, tx)] = input[((by + ty), (bx + tx))]
        cuda.syncthreads()
        if ((y < output.shape[0]) and (x < output.shape[1])):
            output[(y, x)] = tile[(tx, ty)]
    blocks = (int(((b.shape[0] / tile_height) + 1)), int(((b.shape[1] / tile_width) + 1)))
    threads = (tile_height, tile_width)
    kernel[(blocks, threads)](a, b)
    return b

What's a good function header?
 Here's a good function header?
assistant
#Here's a good function header.

def transpose(a, b=None):