chenxuanhong
66 lines
1.2 KiB
YAML
66 lines
1.2 KiB
YAML
# Related scripts
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train_script_name: multi_gpu
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# models' scripts
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model_configs:
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g_model:
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script: Generator_modulation_depthwise_config
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class_name: Generator
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module_params:
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id_dim: 512
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g_kernel_size: 3
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in_channel: 16
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res_num: 9
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up_mode: bilinear
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res_mode: depthwise
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d_model:
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script: projected_discriminator
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class_name: ProjectedDiscriminator
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module_params:
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diffaug: False
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interp224: False
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backbone_kwargs: {}
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arcface_ckpt: arcface_ckpt/arcface_checkpoint.tar
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# Training information
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batch_size: 64
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# Dataset
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dataloader: VGGFace2HQ_multigpu
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dataset_name: vggface2_hq
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dataset_params:
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random_seed: 1234
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dataloader_workers: 6
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eval_dataloader: DIV2K_hdf5
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eval_dataset_name: DF2K_H5_Eval
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eval_batch_size: 2
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# Dataset
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# Optimizer
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optim_type: Adam
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g_optim_config:
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lr: 0.0004
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betas: [ 0, 0.99]
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eps: !!float 1e-8
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d_optim_config:
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lr: 0.0004
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betas: [ 0, 0.99]
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eps: !!float 1e-8
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id_weight: 20.0
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reconstruct_weight: 10.0
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feature_match_weight: 10.0
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# Log
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log_step: 300
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model_save_step: 10000
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sample_step: 1000
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total_step: 1000000
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checkpoint_names:
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generator_name: Generator
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discriminator_name: Discriminator |