perf_test.py File Reference

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Namespaces
	perf_test

Variables
	dir = path.dirname(path.realpath(__file__))
	parser = argparse.ArgumentParser(description='Benchmark for overlay_alpha')
	dest
	action
	help
	type
	int
	default
	choices
	args = parser.parse_args()
	uint8_t_p = ctypes.POINTER(ctypes.c_uint8)
	size_t = ctypes.c_size_t
	void = None
string	so = "libalpha-lib-"
	dll = ctypes.cdll.LoadLibrary(path.join(dir, so))
	overlay_alpha = dll['overlay_alpha_stride_' + args.rescale]
	argtypes
	restype
	sizes = np.linspace(args.min_size, args.max_size, args.N, dtype=np.int)
	times = np.zeros((args.N, ))
	bg_img = np.random.randint(255, size=(size, size, 4), dtype=np.uint8)
	fg_img = np.random.randint(255, size=(size, size, 4), dtype=np.uint8)
	out_img = np.zeros((size, size, 4), dtype=np.uint8)
	bg_img_p = bg_img.ctypes.data_as(uint8_t_p)
	fg_img_p = fg_img.ctypes.data_as(uint8_t_p)
	out_img_p = out_img.ctypes.data_as(uint8_t_p)
	iterations = int(round(args.max_size * args.max_iterations / size))
	start_time = time.perf_counter()
	end_time = time.perf_counter()
	results = np.column_stack((sizes, times))
tuple	simd = (' simd ' if args.SIMD else ' no-simd ')
tuple	name = str(time.asctime()) + simd + args.rescale + ' ' + platform.machine()
	delimiter