import torch from mmodel import get_module from mtrain.watcher import watcher if __name__ == "__main__": torch.backends.cudnn.benchmark = True # name = input('model name:') name = "openbb" # import torchvision.datasets as ds # a = ds.ImageFolder( # root="./_PUBLIC_DATASET_/" + 'VisDA' + "/" + "validation" + "/" # ) # print(a.classes) # assert False try: param, A = get_module(name) if param.make_record: watcher.prepare_notes(name, param.tag) A.train_module() finally: watcher.to_json()
import os os.environ["CUDA_VISIBLE_DEVICES"] = "1" tf_port = 8008 import torch from main_aid import TBHandler from mmodel import get_module if __name__ == "__main__": torch.cuda.empty_cache() torch.backends.cudnn.benchmark = True torch.manual_seed(000000) torch.cuda.manual_seed_all(000000) model_name = "TFDN" tb = TBHandler(model_name) param, model = get_module(model_name) try: model.writer = tb.get_writer() tb.star_shell_tb(tf_port) model.train_module() finally: tb.kill_shell_tb() raise