| 11 | self.initialized = False |
| 12 | |
| 13 | def initialize(self): |
| 14 | self.parser.add_argument('--name', type=str, default="test", help='Name of this trial') |
| 15 | self.parser.add_argument('--decomp_name', type=str, default="Decomp_SP001_SM001_H512", help='Name of autoencoder model') |
| 16 | |
| 17 | self.parser.add_argument("--gpu_id", type=int, nargs='+', default=(-1), help='GPU id') |
| 18 | self.parser.add_argument("--distributed", action="store_true", help='Whether to use DDP training') |
| 19 | self.parser.add_argument("--data_parallel", action="store_true", help="Whether to use DP training") |
| 20 | |
| 21 | self.parser.add_argument('--dataset_name', type=str, default='t2m', help='Dataset Name') |
| 22 | self.parser.add_argument('--checkpoints_dir', type=str, default='./checkpoints', help='models are saved here') |
| 23 | |
| 24 | self.parser.add_argument("--unit_length", type=int, default=4, help="Motions are cropped to the maximum times of unit_length") |
| 25 | self.parser.add_argument("--max_text_len", type=int, default=20, help="Maximum length of text description") |
| 26 | |
| 27 | self.parser.add_argument('--text_enc_mod', type=str, default='bigru') |
| 28 | self.parser.add_argument('--estimator_mod', type=str, default='bigru') |
| 29 | |
| 30 | self.parser.add_argument('--dim_text_hidden', type=int, default=512, help='Dimension of hidden unit in text encoder') |
| 31 | self.parser.add_argument('--dim_att_vec', type=int, default=512, help='Dimension of attention vector') |
| 32 | self.parser.add_argument('--dim_z', type=int, default=128, help='Dimension of latent Gaussian vector') |
| 33 | |
| 34 | self.parser.add_argument('--n_layers_pri', type=int, default=1, help='Number of layers in prior network') |
| 35 | self.parser.add_argument('--n_layers_pos', type=int, default=1, help='Number of layers in posterior network') |
| 36 | self.parser.add_argument('--n_layers_dec', type=int, default=1, help='Number of layers in generator') |
| 37 | |
| 38 | self.parser.add_argument('--dim_pri_hidden', type=int, default=1024, help='Dimension of hidden unit in prior network') |
| 39 | self.parser.add_argument('--dim_pos_hidden', type=int, default=1024, help='Dimension of hidden unit in posterior network') |
| 40 | self.parser.add_argument('--dim_dec_hidden', type=int, default=1024, help='Dimension of hidden unit in generator') |
| 41 | |
| 42 | self.parser.add_argument('--dim_movement_enc_hidden', type=int, default=512, |
| 43 | help='Dimension of hidden in AutoEncoder(encoder)') |
| 44 | self.parser.add_argument('--dim_movement_dec_hidden', type=int, default=512, |
| 45 | help='Dimension of hidden in AutoEncoder(decoder)') |
| 46 | self.parser.add_argument('--dim_movement_latent', type=int, default=512, help='Dimension of motion snippet') |
| 47 | |
| 48 | self.initialized = True |
| 49 | |
| 50 | |
| 51 | |