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How to use add_argument method in locust
Best Python code snippet using locust
parsers1.py
Source:parsers1.py 
...32 return vae33def train_parser():34 parser = argparse.ArgumentParser()35 ### Architecture Parameters36 parser.add_argument('--model', choices=['transvae', 'rnnattn', 'rnn'],37 required=True, type=str)38 parser.add_argument('--d_model', default=128, type=int)39 parser.add_argument('--d_feedforward', default=128, type=int)40 parser.add_argument('--d_latent', default=128, type=int)41 parser.add_argument('--property_predictor', default=False, action='store_true')42 parser.add_argument('--d_property_predictor', default=256, type=int)43 parser.add_argument('--depth_property_predictor', default=2, type=int)44 ### Hyperparameters45 parser.add_argument('--batch_size', default=500, type=int)46 parser.add_argument('--batch_chunks', default=5, type=int)47 parser.add_argument('--beta', default=0.05, type=float)48 parser.add_argument('--beta_init', default=1e-8, type=float)49 parser.add_argument('--anneal_start', default=0, type=int)50 parser.add_argument('--adam_lr', default=3e-4, type=float)51 parser.add_argument('--lr_scale', default=1, type=float)52 parser.add_argument('--warmup_steps', default=10000, type=int)53 parser.add_argument('--eps_scale', default=1, type=float)54 parser.add_argument('--epochs', default=100, type=int)55 #parser.add_argument('--end_beta_scale', default=20, type=int)56 ### Data Parameters57 parser.add_argument('--data_source', choices=['zinc', 'pubchem', 'custom'],58 required=True, type=str)59 parser.add_argument('--train_mols_path', default=None, type=str)60 parser.add_argument('--test_mols_path', default=None, type=str)61 parser.add_argument('--train_props_path', default=None, type=str)62 parser.add_argument('--test_props_path', default=None, type=str)63 parser.add_argument('--vocab_path', default=None, type=str)64 parser.add_argument('--char_weights_path', default=None, type=str)65 ### Load Parameters66 parser.add_argument('--checkpoint', default=None, type=str)67 ### Save Parameters68 parser.add_argument('--save_name', default=None, type=str)69 parser.add_argument('--save_freq', default=5, type=int)70 ### Adjacency Matrix Parameters71 parser.add_argument('--adj_matrix', default=False, action='store_true')72 parser.add_argument('--adj_weight', default=0.3, type=float)73 ### MMD Parameter74 parser.add_argument('--mmd_use', default=False, action='store_true')75 return parser76def sample_parser():77 parser = argparse.ArgumentParser()78 ### Number of workers79 parser.add_argument('--cores', default=10, type=int)80 ### Load Files81 parser.add_argument('--model', choices=['transvae', 'rnnattn', 'rnn'],82 required=True, type=str)83 parser.add_argument('--model_ckpt', required=True, type=str)84 parser.add_argument('--mols', default=None, type=str)85 ### Sampling Parameters86 parser.add_argument('--sample_mode', choices=['rand', 'high_entropy', 'k_high_entropy'],87 required=True, type=str)88 parser.add_argument('--k', default=15, type=int)89 parser.add_argument('--condition', default='', type=str)90 parser.add_argument('--entropy_cutoff', default=5, type=float)91 parser.add_argument('--n_samples', default=30000, type=int)92 parser.add_argument('--n_samples_per_batch', default=1000, type=int)93 ### Save Parameters94 parser.add_argument('--save_path', default=None, type=str)95 ### for cbas pipeline only 96 parser.add_argument('--iteration', type=int, default=0)97 parser.add_argument('--name', type=str, default='CbAS_vae') # the query model name98 return parser99def attn_parser():100 parser = argparse.ArgumentParser()101 ### Load Files102 parser.add_argument('--model', choices=['transvae', 'rnnattn'],103 required=True, type=str)104 parser.add_argument('--model_ckpt', required=True, type=str)105 parser.add_argument('--mols', required=True, type=str)106 ### Sampling Parameters107 parser.add_argument('--n_samples', default=5000, type=int)108 parser.add_argument('--batch_size', default=500, type=int)109 parser.add_argument('--batch_chunks', default=5, type=int)110 parser.add_argument('--shuffle', default=False, action='store_true')111 ### Save Parameters112 parser.add_argument('--save_path', default=None, type=str)113 return parser114def docker_parser():115 parser = argparse.ArgumentParser()116 parser.add_argument("-s", "--server", default='etienne-reboul', help="Server to run the docking on, for path and configs.")117 parser.add_argument("-ex", "--exhaustiveness", default=64, help="exhaustiveness parameter for smina")118 parser.add_argument('--name', type=str, default='CbAS_vae') # the query model name119 parser.add_argument('--cores', type=int, default=10) 120 parser.add_argument('--oracle', type=str, default='smina') # 'qed' or 'docking' or 'qsar'121 parser.add_argument('--target', type=str, default='drd3')122 123 return parser124def cbas_trainer_parser():125 parser = argparse.ArgumentParser()126 parser.add_argument('--iteration', type=int, default=0)127 parser.add_argument('--name', type=str, default='CbAS_vae') # the experiment name128 parser.add_argument('--quantile', type=float, default=0.5) # quantile of scores accepted129 return parser130def slurm_master_parser():131 parser = argparse.ArgumentParser()132 ### main parameters 133 parser.add_argument('--prior_path', type=str, default='checkpoints/025_test.ckpt') # the prior VAE (pretrained)134 parser.add_argument('-n', '--name', type=str, default='CbAS_vae') # the name of the experiment135 parser.add_argument('--iters', type=int, default=2) # Number of iterations136 parser.add_argument('--model', choices=['transvae', 'rnnattn', 'rnn'], default='rnnattn', type=str)137 parser.add_argument('--main_cores', type=int, default=10) # Number of cores that should be used for Sampler and Docker138 parser.add_argument('--oracle', type=str, choices=['smina','RLDOCK'],default='smina') # 'qed' or 'docking' or 'qsar'139 parser.add_argument('--cur_iter', type=int, default=0) #current iteration140 ### SAMPLER141 parser.add_argument('--n_samples', type=int, default=30000) # Nbr of samples at each iter142 parser.add_argument('--sample_mode', choices=['rand', 'high_entropy', 'k_high_entropy'],143 default='rand', type=str)144 145 ### DOCKER146 parser.add_argument('--server', type=str, default='cedar', help='server to run on')147 parser.add_argument('--target', type=str, default='drd3', help='target to dock')148 parser.add_argument("-ex", "--exhaustiveness", default=64, help="exhaustiveness parameter for smina")149 parser.add_argument('--docker_cores', type=int, default=1)150 ### TRAINER151 parser.add_argument('--alphabet_path', type=str, default='data/moses_char_dict.pkl') # the alphabet used152 parser.add_argument('--weights_path', type=str, default='data/moses_char_weights.npy') # the alphabet used153 parser.add_argument('--quantile', type=float, default=0.5) # quantile of scores accepted154 155 return parser156def vocab_parser():157 parser = argparse.ArgumentParser()158 ### Vocab Parameters159 parser.add_argument('--mols', required=True, type=str)160 parser.add_argument('--freq_penalty', default=0.5, type=float)161 parser.add_argument('--pad_penalty', default=0.1, type=float)162 parser.add_argument('--vocab_name', default='custom_char_dict', type=str)163 parser.add_argument('--weights_name', default='custom_char_weights', type=str)164 parser.add_argument('--save_dir', default='data', type=str)...
option.py
Source:option.py
1import argparse2import template3parser = argparse.ArgumentParser(description='EDSR and MDSR')4parser.add_argument('--debug', action='store_true',5 help='Enables debug mode')6parser.add_argument('--template', default='.',7 help='You can set various templates in option.py')8# Hardware specifications9parser.add_argument('--n_threads', type=int, default=6,10 help='number of threads for data loading')11parser.add_argument('--cpu', action='store_true',12 help='use cpu only')13parser.add_argument('--n_GPUs', type=int, default=1,14 help='number of GPUs')15parser.add_argument('--seed', type=int, default=1,16 help='random seed')17# Data specifications18parser.add_argument('--dir_data', type=str, default='D:/xImageDataset/',19 help='dataset directory')20parser.add_argument('--dir_demo', type=str, default='../test',21 help='demo image directory')22parser.add_argument('--data_train', type=str, default='DIV2K',23 help='train dataset name')24parser.add_argument('--data_test', type=str, default='faces_test',25 help='test dataset name')26parser.add_argument('--data_range', type=str, default='1-800/801-810',27 help='train/test data range')28parser.add_argument('--ext', type=str, default='sep',29 help='dataset file extension')30parser.add_argument('--scale', type=str, default='4',31 help='super resolution scale')32parser.add_argument('--patch_size', type=int, default=256,33 help='output patch size')34parser.add_argument('--rgb_range', type=int, default=255,35 help='maximum value of RGB')36parser.add_argument('--n_colors', type=int, default=3,37 help='number of color channels to use')38parser.add_argument('--chop', action='store_true',39 help='enable memory-efficient forward')40parser.add_argument('--no_augment', action='store_true',41 help='do not use data augmentation')42# For FlatCam Argument43parser.add_argument('--sigma', type=int, default= 10,44 help='Noise level for simulation')45parser.add_argument('--is_fcSim', type=bool, default= True,46 help='Whether the measurement is simulated')47# Model specifications48parser.add_argument('--model', default='kcsres',49 help='model name')50parser.add_argument('--mid_channels', type=int, default=4,51 help='Intermediate channel features, exept kcsOrg')52#parser.add_argument('--out_channels', type=int, default=3,53# help='Intermediate channel features, exept kcsOrg')54parser.add_argument('--is_act', action='store_true',55 help='Intermediate channel features')56parser.add_argument('--act', type=str, default='relu',57 help='activation function')58parser.add_argument('--pre_train', type=str, default='',59 help='pre-trained model directory')60parser.add_argument('--extend', type=str, default='.',61 help='pre-trained model directory')62parser.add_argument('--n_resblocks', type=int, default=17,63 help='number of residual blocks')64parser.add_argument('--n_feats', type=int, default=64,65 help='number of feature maps')66parser.add_argument('--dilation', action='store_true',67 help='use dilated convolution')68parser.add_argument('--precision', type=str, default='single',69 choices=('single', 'half'),70 help='FP precision for test (single | half)')71# Training specifications72parser.add_argument('--reset', action='store_true',73 help='reset the training')74parser.add_argument('--test_every', type=int, default=1000,75 help='do test per every N batches')76parser.add_argument('--epochs', type=int, default=200,77 help='number of epochs to train')78parser.add_argument('--batch_size', type=int, default=16,79 help='input batch size for training')80parser.add_argument('--split_batch', type=int, default=1,81 help='split the batch into smaller chunks')82parser.add_argument('--self_ensemble', action='store_true',83 help='use self-ensemble method for test')84parser.add_argument('--test_only', action='store_true',85 help='set this option to test the model')86parser.add_argument('--gan_k', type=int, default=1,87 help='k value for adversarial loss')88# Optimization specifications89parser.add_argument('--lr', type=float, default=5e-4,90 help='learning rate')91parser.add_argument('--decay', type=str, default='50',92 help='learning rate decay type')93parser.add_argument('--gamma', type=float, default=0.5,94 help='learning rate decay factor for step decay')95parser.add_argument('--optimizer', default='ADAM',96 choices=('SGD', 'ADAM', 'RMSprop'),97 help='optimizer to use (SGD | ADAM | RMSprop)')98parser.add_argument('--momentum', type=float, default=0.9,99 help='SGD momentum')100parser.add_argument('--betas', type=tuple, default=(0.9, 0.999),101 help='ADAM beta')102parser.add_argument('--epsilon', type=float, default=1e-8,103 help='ADAM epsilon for numerical stability')104parser.add_argument('--weight_decay', type=float, default=0,105 help='weight decay')106parser.add_argument('--gclip', type=float, default=0,107 help='gradient clipping threshold (0 = no clipping)')108# Loss specifications109parser.add_argument('--loss', type=str, default='1*MSE',110 help='loss function configuration')111parser.add_argument('--skip_threshold', type=float, default='1e8',112 help='skipping batch that has large error')113# Log specifications114parser.add_argument('--save', type=str, default='test',115 help='file name to save')116parser.add_argument('--load', type=str, default='',117 help='file name to load')118parser.add_argument('--resume', type=int, default=0,119 help='resume from specific checkpoint')120parser.add_argument('--save_models', action='store_true',121 help='save all intermediate models')122parser.add_argument('--print_every', type=int, default=100,123 help='how many batches to wait before logging training status')124parser.add_argument('--save_results', action='store_true',125 help='save output results')126parser.add_argument('--save_gt', action='store_true',127 help='save low-resolution and high-resolution images together')128args = parser.parse_args()129template.set_template(args)130args.save = args.model + '_mid' + str(args.mid_channels) + '_sb' + str(args.batch_size) +'_sig' + str(args.sigma)131if args.is_act :132 args.save = args.save + '_PreLU'133else: 134 args.save = args.save + '_Linear'135note = ''136for loss in args.loss.split('+'):137 weight, loss_type = loss.split('*')138 note = note + '_' + str(weight) + loss_type139args.save = args.save + note 140args.scale = list(map(lambda x: int(x), args.scale.split('+')))...
config.py
Source:config.py
...7import torch8device = 'cuda' if torch.cuda.is_available() else 'cpu'9parser = argparse.ArgumentParser()10# frequently used parameters11parser.add_argument('--capacity', default=200000, type=int) # replay buffer size12parser.add_argument('--start_train', default=15000, type=int) # replay buffer size13parser.add_argument('--add_buffer', default=True, type=int) # replay buffer size14parser.add_argument('--learning_rate', default=0.000003, type=float)15parser.add_argument('--noise_level', default=0.5, type=float)16parser.add_argument('--noise_training_level', default=0.15, type=float)17parser.add_argument('--batch_size', default=36, type=int) # mini batch size18parser.add_argument('--test_id', default=222, type=int) # 1000+ means debug19parser.add_argument('--project_root', default='/scr1/system/gamma-robot/', type=str) # project root path20# parser.add_argument('--project_root', default='/juno/u/qiangzhang/system/gamma-robot/', type=str) # project root path21# reinforcement learning part hyper parameters22parser.add_argument('--mode', default='test', type=str) # mode = 'train' or 'test'23parser.add_argument("--env_name", default="Pendulum-v0") # OpenAI gym environment nameï¼ BipedalWalker-v224parser.add_argument('--tau', default=0.005, type=float) # target smoothing coefficient25parser.add_argument('--target_update_interval', default=1, type=int)26parser.add_argument('--iteration', default=5, type=int)27parser.add_argument('--update_time', default=10, type=int)28parser.add_argument('--gamma', default=0.99, type=int) # discounted factor29parser.add_argument('--num_iteration', default=100000, type=int) # num of games30parser.add_argument('--seed', default=1, type=int)31# optional parameters32parser.add_argument('--num_hidden_layers', default=2, type=int)33parser.add_argument('--sample_frequency', default=256, type=int)34parser.add_argument('--activation', default='Relu', type=str)35parser.add_argument('--render', default=False, type=bool) # show UI or not36parser.add_argument('--log_interval', default=200, type=int) #37parser.add_argument('--load', default=True, type=bool) # load model38parser.add_argument('--render_interval', default=100, type=int) # after render_interval, the env.render() will work39parser.add_argument('--policy_noise', default=0.001, type=float)40parser.add_argument('--noise_clip', default=0.03, type=float)41parser.add_argument('--policy_delay', default=2, type=int)42parser.add_argument('--exploration_noise', default=0.001, type=float)43parser.add_argument('--max_episode', default=2003, type=int)44parser.add_argument('--print_log', default=5, type=int)45parser.add_argument('--align_sample', default=False, type=int)46parser.add_argument('--more_embedding', default=True, type=int)47# environment part hyper parameters48parser.add_argument('--gui', default=True, type=int) #49parser.add_argument('--video_id', default=6, type=int) #50parser.add_argument('--object_id', default='nut', type=str) #51parser.add_argument('--observation', default='before_cnn', type=str) #joint_pose or end_pos or before_cnn or others52parser.add_argument('--view_point', default='first', type=str) # first or third53parser.add_argument('--rand_start', default='fixed', type=str) # rand or two or others54parser.add_argument('--rand_box', default='fixed', type=str) # rand or two or others55parser.add_argument('--axis_limit_x', default='[0.04,0.6]', type=str) #56parser.add_argument('--axis_limit_y', default='[-0.40,0.25]', type=str) #57parser.add_argument('--axis_limit_z', default='[0.26,0.7]', type=str) #58parser.add_argument('--img_w', default=320, type=int) #59parser.add_argument('--img_h', default=240, type=int) #60parser.add_argument('--obj_away_loss', default=True, type=int) #61parser.add_argument('--away_reward', default=0, type=float) #62parser.add_argument('--reward_diff', default=True, type=int) #63parser.add_argument('--out_reward', default=-10, type=float) #64parser.add_argument('--end_distance', default=0.20, type=float) #65parser.add_argument('--each_action_lim', default=0.03, type=float) #66parser.add_argument('--add_gripper', default=True, type=int) #67parser.add_argument('--add_motion', default=True, type=int) #68parser.add_argument('--write_img', default=1, type=int) #69parser.add_argument('--start_write', default=20000, type=int) #70# video prediction part hyper parameters71parser.add_argument('--action_id', default=8888, type=int) #72parser.add_argument('--cut_frame_num', default=20, type=int) #73parser.add_argument('--give_reward_num', default=1, type=int) #74parser.add_argument('--video_reward', default=True, type=int) #75parser.add_argument('--load_video_pred', default=None, type=object) #76parser.add_argument('--add_mask', default=True, type=int) #77parser.add_argument('--prob_softmax', default=False, type=int) #78parser.add_argument('--merge_class', default=True, type=int) #79parser.add_argument('--use_trn', default=False, type=int) #80parser.add_argument('--use_refine_baseline', default=False, type=int) #81parser.add_argument('--mean_norm', default=True, type=int) #82parser.add_argument('--fine_tune', default=True, type=int) #83parser.add_argument('--fine_tune_list', default=[86,87,93,94], type=int) #84# parser.add_argument('--fine_tune_list', default=[8,9,10,11,12], type=int) #85# parser.add_argument('--fine_tune_list', default=[12], type=int) #86# environment action using DMP part hyperparameters87parser.add_argument('--use_dmp', default=True, type=int) #88parser.add_argument('--load_dmp', default=None, type=object) #89parser.add_argument('--dmp_ratio', default=0.5, type=float) #90parser.add_argument('--dmp_num', default=40, type=float) #91parser.add_argument('--dmp_imitation', default=False, type=int) #92parser.add_argument('--actions_root', default='/scr1/system/beta-robot/dataset/actions', type=str) #93# environment action using embedding module hyperparameters94parser.add_argument('--use_embedding', default=True, type=int) #95parser.add_argument('--nlp_embedding', default=True, type=int) #96# parser.add_argument('--embedding_list', default=[8,9,10,11,12], type=int) #97# parser.add_argument('--embedding_list', default=[12,16,86,94,43,45], type=int) #98parser.add_argument('--embedding_list', default=[86,94,43,45], type=int) #99parser.add_argument('--load_embedding', default=None, type=object) #100parser.add_argument('--embedding_dim', default=4, type=int) #101parser.add_argument('--rl_embedding_dim', default=32, type=int) #102# parser.add_argument('--embedding_adjust', default=True, type=int) #103# environment action using cycle module hyperparameters104parser.add_argument('--use_cycle', default=False, type=int) #105parser.add_argument('--load_cycle', default=None, type=object) #106# environment action using A3C hyperparameters107parser.add_argument('--use_a3c', default=False, type=int) #108parser.add_argument('--process_N', default=1, type=int) #109parser.add_argument('--cuda_id', default=1, type=int) #110opt = parser.parse_args()111all_task_list = [8,9,10,11,12]112all_task_list.extend([16,17,18,19,20])113all_task_list.extend([40,41,42,43,44,45])114all_task_list.extend([85,86,87,93,94])115all_task_list.extend([100,104,105])116# all_task_list = [85,100,41,44]117# all_task_list = [41,44]118# all_task_list = [40,42,104,105]119# all_task_list = [40,42]120# all_task_list = [86,94,104,105]121# all_task_list = [86,94]122opt.embedding_list = all_task_list123if opt.nlp_embedding:...
train.py
Source:train.py
...18 else:19 raise argparse.ArgumentTypeError('Boolean value expected.')20if __name__ == '__main__':21 parser = argparse.ArgumentParser()22 parser.add_argument("-task", default='ext', type=str, choices=['ext', 'abs'])23 parser.add_argument("-encoder", default='bert', type=str, choices=['bert', 'baseline'])24 parser.add_argument("-mode", default='train', type=str, choices=['train', 'validate', 'test'])25 parser.add_argument("-bert_data_path", default='../bert_data_new/cnndm')26 parser.add_argument("-model_path", default='../models/')27 parser.add_argument("-result_path", default='../results/cnndm')28 parser.add_argument("-temp_dir", default='../temp')29 parser.add_argument("-batch_size", default=140, type=int)30 parser.add_argument("-test_batch_size", default=200, type=int)31 parser.add_argument("-max_pos", default=512, type=int)32 parser.add_argument("-use_interval", type=str2bool, nargs='?',const=True,default=True)33 parser.add_argument("-large", type=str2bool, nargs='?',const=True,default=False)34 parser.add_argument("-load_from_extractive", default='', type=str)35 parser.add_argument("-sep_optim", type=str2bool, nargs='?',const=True,default=False)36 parser.add_argument("-lr_bert", default=2e-3, type=float)37 parser.add_argument("-lr_dec", default=2e-3, type=float)38 parser.add_argument("-use_bert_emb", type=str2bool, nargs='?',const=True,default=False)39 parser.add_argument("-share_emb", type=str2bool, nargs='?', const=True, default=False)40 parser.add_argument("-finetune_bert", type=str2bool, nargs='?', const=True, default=True)41 parser.add_argument("-dec_dropout", default=0.2, type=float)42 parser.add_argument("-dec_layers", default=6, type=int)43 parser.add_argument("-dec_hidden_size", default=768, type=int)44 parser.add_argument("-dec_heads", default=8, type=int)45 parser.add_argument("-dec_ff_size", default=2048, type=int)46 parser.add_argument("-enc_hidden_size", default=512, type=int)47 parser.add_argument("-enc_ff_size", default=512, type=int)48 parser.add_argument("-enc_dropout", default=0.2, type=float)49 parser.add_argument("-enc_layers", default=6, type=int)50 # params for EXT51 parser.add_argument("-ext_dropout", default=0.2, type=float)52 parser.add_argument("-ext_layers", default=2, type=int)53 parser.add_argument("-ext_hidden_size", default=768, type=int)54 parser.add_argument("-ext_heads", default=8, type=int)55 parser.add_argument("-ext_ff_size", default=2048, type=int)56 parser.add_argument("-label_smoothing", default=0.1, type=float)57 parser.add_argument("-generator_shard_size", default=32, type=int)58 parser.add_argument("-alpha", default=0.6, type=float)59 parser.add_argument("-beam_size", default=5, type=int)60 parser.add_argument("-min_length", default=15, type=int)61 parser.add_argument("-max_length", default=150, type=int)62 parser.add_argument("-max_tgt_len", default=140, type=int)63 parser.add_argument("-param_init", default=0, type=float)64 parser.add_argument("-param_init_glorot", type=str2bool, nargs='?',const=True,default=True)65 parser.add_argument("-optim", default='adam', type=str)66 parser.add_argument("-lr", default=1, type=float)67 parser.add_argument("-beta1", default= 0.9, type=float)68 parser.add_argument("-beta2", default=0.999, type=float)69 parser.add_argument("-warmup_steps", default=8000, type=int)70 parser.add_argument("-warmup_steps_bert", default=8000, type=int)71 parser.add_argument("-warmup_steps_dec", default=8000, type=int)72 parser.add_argument("-max_grad_norm", default=0, type=float)73 parser.add_argument("-save_checkpoint_steps", default=5, type=int)74 parser.add_argument("-accum_count", default=1, type=int)75 parser.add_argument("-report_every", default=1, type=int)76 parser.add_argument("-train_steps", default=1000, type=int)77 parser.add_argument("-recall_eval", type=str2bool, nargs='?',const=True,default=False)78 parser.add_argument('-visible_gpus', default='-1', type=str)79 parser.add_argument('-gpu_ranks', default='0', type=str)80 parser.add_argument('-log_file', default='../logs/cnndm.log')81 parser.add_argument('-seed', default=666, type=int)82 parser.add_argument("-test_all", type=str2bool, nargs='?',const=True,default=False)83 parser.add_argument("-test_from", default='')84 parser.add_argument("-test_start_from", default=-1, type=int)85 parser.add_argument("-train_from", default='')86 parser.add_argument("-report_rouge", type=str2bool, nargs='?',const=True,default=True)87 parser.add_argument("-block_trigram", type=str2bool, nargs='?', const=True, default=True)88 args = parser.parse_args()89 args.gpu_ranks = [int(i) for i in range(len(args.visible_gpus.split(',')))]90 args.world_size = len(args.gpu_ranks)91 os.environ["CUDA_VISIBLE_DEVICES"] = args.visible_gpus92 init_logger(args.log_file)93 device = "cpu" if args.visible_gpus == '-1' else "cuda"94 device_id = 0 if device == "cuda" else -195 if (args.task == 'abs'):96 if (args.mode == 'train'):97 train_abs(args, device_id)98 elif (args.mode == 'validate'):99 validate_abs(args, device_id)100 elif (args.mode == 'lead'):101 baseline(args, cal_lead=True)...
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