6ac655533f3faede22d4e44d41a6b6f4b1891ff4,benchmark.py,,,#,13

Before Change

PORT = 7779
PORT_OUT = 7780

common = {
    "model_dir": "/data/cips/save/chinese_L-12_H-768_A-12",
    "num_worker": 2,
    "num_repeat": 5,
    "port": PORT,
    "port_out": PORT_OUT,
    "http_port": None,
    "http_max_connect": "10",
    "cors": "*",
    "max_seq_len": 40,
    "client_batch_size": 2048,
    "max_batch_size": 256,
    "num_client": 1,
    "pooling_strategy": PoolingStrategy.REDUCE_MEAN,
    "pooling_layer": [-2],
    "gpu_memory_fraction": 0.5,
    "prefetch_size": 10,
    "xla": False,
    "cpu": False,
    "verbose": False,
    "config_name": "bert_config.json",
    "ckpt_name": "bert_model.ckpt",
    "tuned_model_dir": None,
    "mask_cls_sep": False,
    "device_map": [],
    "priority_batch_size": 16,
    "fp16": False
}

args = namedtuple("args_nt", ",".join(common.keys()))
globals()[args.__name__] = args

After Change

PORT_OUT = 7780
MODEL_DIR = "/data/cips/save/chinese_L-12_H-768_A-12"

common = vars(get_args_parser().parse_args(["-model_dir", MODEL_DIR, "-port", PORT, "-port_out", PORT_OUT]))
common["num_worker"] = 2  // set num workers
common["num_repeat"] = 5  // set num repeats per experiment

args = namedtuple("args_nt", ",".join(common.keys()))
globals()[args.__name__] = args

Instances