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config.py
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config.py
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"""
Copyright (C) 2020 NVIDIA Corporation. All rights reserved.
Licensed under the NVIDIA Source Code License. See LICENSE at https://github.com/nv-tlabs/GameGAN_code.
Authors: Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler
"""
from optparse import OptionParser, OptionGroup
def init_parser():
'''
'''
usage = """
Usage of this tool.
$ python main.py [--train]
"""
parser = OptionParser(usage=usage)
parser.add_option('--train', action='store_true', default=True)
parser.add_option('--play', action='store_true', default=False)
parser.add_option('--port', action='store', type=int, default=8888,
help='')
parser.add_option('--skip', action='store', type=int, default=1,
help='')
parser.add_option('--saved_model', type=str, default=None)
parser.add_option('--saved_optim', type=str, default=None)
parser.add_option('--data', action='store', type=str, default='pacman')
parser.add_option('--warm_up', action='store', type=int, default=10)
# training settings
train_param = OptionGroup(parser, 'training hyperparameters')
train_param.add_option('--encoder_chan_multiplier', action='store', type=int, default=1)
train_param.add_option('--gpu', action='store', type=int, default=0,
help='Whether to use GPU for training')
train_param.add_option('--num_gpu', action='store', type=int, default=1,
help='Whether to use GPU for training')
train_param.add_option('--optimizer', action='store', type='choice', default='adam',
help='which optimizer used for training',
choices=['adam', 'sgd', 'rmsprop'])
train_param.add_option('--lr', action='store', type=float, default=1e-4,
help='learning rate')
train_param.add_option('--override_lr', type=float, default=-1)
train_param.add_option('--bs', action='store', type=int, default=64,
help='batch size')
train_param.add_option('--nep', action='store', type=int, default=10000,
help='max number of epochs')
train_param.add_option('--memory_dim', action='store', type=int, default=512,
help='# of iters for training netD')
train_param.add_option('--memory_h', action='store', type=int, default=441,
help='# of iters for training netD')
gan_param = OptionGroup(parser, 'hyperparameters for training GANs')
gan_param.add_option('--z', action='store', type=int, default=32,
help='# of iters for training netD')
gan_param.add_option('--Diters', action='store', type=int, default=1,
help='# of iters for training netD')
gan_param.add_option('--nfilterG', action='store', type=int, default=64,
help='# of iters for training netD')
gan_param.add_option('--nfilterD', action='store', type=int, default=16,
help='# of iters for training netD')
gan_param.add_option('--hidden_dim', action='store', type=int, default=512,
help='# of iters for training netD')
gan_param.add_option('--LAMBDA', action='store', type=float, default=1.0,
help='Lambda value for W-GAN')
gan_param.add_option('--LAMBDA_temporal', action='store', type=float, default=10.0,
help='Lambda value for W-GAN')
gan_param.add_option('--lrD', action='store', type=float, default=1e-4,
help='learning rate for D')
gan_param.add_option('--lrG_temporal', action='store', type=float, default=1e-4,
help='learning rate for G')
gan_param.add_option('--lrG_graphic', action='store', type=float, default=1e-4,
help='learning rate for G')
gan_param.add_option('--recon_loss_multiplier', action='store', type=float, default=0.05)
gan_param.add_option('--override_recon_loss_multiplier', action='store', type=float, default=-1)
gan_param.add_option('--rev_recon_loss_multiplier', action='store', type=float, default=0.05)
gan_param.add_option('--gen_info_loss_multiplier', action='store', type=float, default=30.0)
gan_param.add_option('--disc_info_loss_multiplier', action='store', type=float, default=10.0)
gan_param.add_option('--disc_content_loss_multiplier', action='store', type=float, default=1.0)
gan_param.add_option('--disc_single_frame_loss_multiplier', action='store', type=float, default=1.0)
gan_param.add_option('--disc_action_loss_multiplier', action='store', type=float, default=1.0)
gan_param.add_option('--disc_loss_multiplier', action='store', type=float, default=1.0)
gan_param.add_option('--gen_content_loss_multiplier', action='store', type=float, default=1.0)
gan_param.add_option('--gen_single_frame_loss_multiplier', action='store', type=float, default=1.0)
gan_param.add_option('--gen_action_loss_multiplier', action='store', type=float, default=1.0)
gan_param.add_option('--feature_loss_multiplier', action='store', type=float, default=10.0)
gan_param.add_option('--reg_type', type=str, default='real',
help='GP reg type')
gan_param.add_option('--img_size', action='store', type=int, default=64,
help='# of iters for training netD')
gan_param.add_option('--num_steps', action='store', type=int, default=15,
help='# of iters for training netD')
gan_param.add_option('--override_num_steps', action='store', type=int, default=-1,
help='# of iters for training netD')
gan_param.add_option('--num_components', action='store', type=int, default=1,
help='# of iters for training netD')
gan_param.add_option('--do_memory', action='store_true', default=False)
gan_param.add_option('--gan_type', type=str, default='standard')
gan_param.add_option('--temperature', type=float, action='store', default=1.0)
gan_param.add_option('--do_temporal', action='store_true', default=True)
align_param = OptionGroup(parser, 'whether to enforce feature to be the same')
align_param.add_option('--final_l1', action='store_true', default=False)
align_param.add_option('--final_l2', action='store_true', default=True)
align_param.add_option('--rev_final_l1', action='store_true', default=False)
align_param.add_option('--rev_final_l2', action='store_true', default=True)
align_param.add_option('--gan_loss', action='store_true', default=True)
align_param.add_option('--cycle_loss', action='store_true', default=False)
vis_param = OptionGroup(parser, 'logger parameters')
vis_param.add_option('--log_dir', type=str, default='logs/test')
train_param.add_option('--seed', action='store', type=int, default=10000,
help='random seed')
train_param.add_option('--input_detach', action='store_true', default=True)
train_param.add_option('--fix_graphic', action='store_true', default=False)
train_param.add_option('--override_fix_graphic', action='store_true', default=False)
train_param.add_option('--att_dim', action='store', type=int, default=512)
train_param.add_option('--fixed_v_dim', action='store', type=int, default=512)
train_param.add_option('--penultimate_tanh', action='store_true', default=True)
train_param.add_option('--fine_mask', action='store_true', default=False)
train_param.add_option('--disc_features', action='store_true', default=True)
train_param.add_option('--disc_temporal_features', action='store_true', default=False)
train_param.add_option('--recon_loss_min_multiplier', action='store', type=float, default=-1)
train_param.add_option('--warmup_decay_epoch', action='store', type=int, default=10)
train_param.add_option('--cycle_start_epoch', action='store', type=int, default=0)
train_param.add_option('--min_warmup', action='store', type=int, default=0)
train_param.add_option('--feature_l2', action='store_true', default=False)
train_param.add_option('--mem_use_h', action='store_true', default=False)
train_param.add_option('--config_temporal', type=int, default=18)
train_param.add_option('--override_config_temporal', type=int, default=-1)
train_param.add_option('--alpha_loss_multiplier', action='store', type=float, default=-1)
train_param.add_option('--temporal_hierarchy', action='store_true', default=True)
train_param.add_option('--temporal_hierarchy_epoch', action='store', type=int, default=0)
train_param.add_option('--lr_decay_epoch', action='store', type=int, default=100000000)
train_param.add_option('--nfilterD_temp', action='store', type=int, default=64)
train_param.add_option('--spade_index', action='store', type=int, default=-1)
train_param.add_option('--softmax_kernel', action='store_true', default=False)
train_param.add_option('--sigmoid_maps', action='store_true', default=False)
train_param.add_option('--no_in', action='store_true', default=True)
train_param.add_option('--normalize_mean', action='store_true', default=True)
train_param.add_option('--rev_multiply_map', action='store_true', default=False)
train_param.add_option('--permute_color', action='store_true', default=False)
train_param.add_option('--latent_only', action='store_true', default=False)
train_param.add_option('--alpha_T', action='store', type=float, default=0.1)
train_param.add_option('--save_epoch', action='store', type=int, default=10)
train_param.add_option('--foreground_img', type=str, default='')
train_param.add_option('--background_img', type=str, default='')
train_param.add_option('--endstate_classifier_path', type=str, default='')
train_param.add_option('--initial_screen', type=str, default='')
train_param.add_option('--D_temp_mode', type=str, default='sn')
train_param.add_option('--dec_saved_model', type=str, default='')
train_param.add_option('--action_space', action='store', type=int, default=10)
train_param.add_option('--num_channel', action='store', type=int, default=3)
train_param.add_option('--num_task', action='store', type=int, default=8)
train_param.add_option('--no_attention', action='store_true', default=True)
train_param.add_option('--reset_lstm', action='store_true', default=False)
train_param.add_option('--base_temperature', action='store', type=float, default=0.1)
train_param.add_option('--state_dim_multiplier', action='store', type=int, default=1)
train_param.add_option('--free_dynamic_component', action='store_true', default=False)
train_param.add_option('--end_bias', action='store', type=float, default=0.0)
train_param.add_option('--simple_blocks', action='store_true', default=False)
train_param.add_option('--standard_gan_loss', action='store_true', default=False)
train_param.add_option('--min_lr', action='store', type=float, default=0.00001)
return parser