def __init__(self, net, cfg, data_iter=None, log_name='logs.txt'):
self._input_list = []
self._output_list = []
self._outputs = []
self.graph_ops = None
self.cfg = cfg
self.net = net
self.cur_epoch = 0
self.summary_dict = {}
# timer
self.tot_timer = Timer()
self.gpu_timer = Timer()
self.read_timer = Timer()
# logger
self.logger = colorlogger(self.cfg.log_dir, log_name=log_name)
# initialize tensorflow
tfconfig = tf.ConfigProto(allow_soft_placement=True,
log_device_placement=False)
tfconfig.gpu_options.allow_growth = True
self.sess = tf.Session(config=tfconfig)
# build_graph
self.build_graph()
# get data iter
self._data_iter = data_iter
parser.add_argument('--model', '-m', type=str, dest='test_model')
args = parser.parse_args()
# test gpus
if not args.gpu_ids:
args.gpu_ids = str(np.argmin(mem_info()))
if '-' in args.gpu_ids:
gpus = args.gpu_ids.split('-')
gpus[0] = 0 if not gpus[0].isdigit() else int(gpus[0])
gpus[1] = len(mem_info()) if not gpus[1].isdigit() else int(gpus[1]) + 1
args.gpu_ids = ','.join(map(lambda x: str(x), list(range(*gpus))))
if args.test_epochs and not ',' in args.test_epochs:
args.test_epochs = '%d,%d' % (int(args.test_epochs), int(args.test_epochs) + 1)
assert args.test_epochs or args.test_model, 'Test epoch or model to test is required.'
return args
global args
args = parse_args()
if args.test_model:
logger = colorlogger(cfg.output_dir, 'test_model_{}'.format(args.test_model.split('/')[-1].split('.')[0]))
test(args.test_model, logger)
else:
for i in range(*eval(args.test_epochs)):
log_name = 'test_epoch_{}.logs'.format(i)
logger = colorlogger(cfg.output_dir, log_name)
test(i, logger)
