102595c040
bs = self.mutil_real_A0_tokens.size(0) AttributeError: 'list' object has no attribute 'size'
85 lines
5.0 KiB
Plaintext
85 lines
5.0 KiB
Plaintext
----------------- Options ---------------
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atten_layers: 1,3,5
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batch_size: 1
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beta1: 0.5
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beta2: 0.999
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checkpoints_dir: ./checkpoints
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continue_train: False
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crop_size: 256
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dataroot: /home/openxs/kunyu/datasets/InfraredCity-Lite/Double/Moitor [default: placeholder]
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dataset_mode: unaligned_double [default: unaligned]
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direction: AtoB
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display_env: ROMA [default: main]
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display_freq: 50
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display_id: None
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display_ncols: 4
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display_port: 8097
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display_server: http://localhost
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display_winsize: 256
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easy_label: experiment_name
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epoch: latest
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epoch_count: 1
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eta_ratio: 0.1
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evaluation_freq: 5000
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flip_equivariance: False
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gan_mode: lsgan
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gpu_ids: 0
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init_gain: 0.02
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init_type: xavier
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input_nc: 3
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isTrain: True [default: None]
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lambda_GAN: 8.0 [default: 1.0]
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lambda_NCE: 8.0 [default: 1.0]
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lambda_SB: 0.1
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lambda_ctn: 1.0
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lambda_inc: 1.0
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lmda_1: 0.1
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load_size: 286
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lr: 1e-05 [default: 0.0002]
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lr_decay_iters: 50
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lr_policy: linear
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max_dataset_size: inf
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model: roma_unsb [default: cut]
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n_epochs: 100
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n_epochs_decay: 100
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n_layers_D: 3
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name: ROMA_UNSB_001 [default: experiment_name]
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nce_T: 0.07
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nce_idt: False [default: True]
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nce_includes_all_negatives_from_minibatch: False
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nce_layers: 0,4,8,12,16
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ndf: 64
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netD: basic
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netF: mlp_sample
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netF_nc: 256
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netG: resnet_9blocks
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ngf: 64
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no_antialias: False
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no_antialias_up: False
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no_dropout: True
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no_flip: True [default: False]
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no_html: False
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normD: instance
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normG: instance
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num_patches: 256
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num_threads: 4
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num_timesteps: 10
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output_nc: 3
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phase: train
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pool_size: 0
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preprocess: resize_and_crop
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pretrained_name: None
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print_freq: 100
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random_scale_max: 3.0
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save_by_iter: False
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save_epoch_freq: 5
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save_latest_freq: 5000
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serial_batches: False
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stylegan2_G_num_downsampling: 1
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suffix:
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tau: 0.1
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update_html_freq: 1000
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use_idt: False
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verbose: False
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----------------- End -------------------
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