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hps.py
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hps.py
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from types import SimpleNamespace
"""
-- VQ-VAE-2 Hyperparameters --
"""
_common = {
'checkpoint_frequency': 4,
'image_frequency': 1,
'test_size': 0.1,
'nb_workers': 4,
}
_ffhq1024 = {
'display_name': 'FFHQ1024',
'image_shape': (3, 1024, 1024),
'in_channels': 3,
'hidden_channels': 128,
'res_channels': 32,
'nb_res_layers': 2,
'embed_dim': 64,
'nb_entries': 512,
'nb_levels': 3,
'scaling_rates': [8, 2, 2],
'learning_rate': 1e-4,
'beta': 0.25,
'batch_size': 8,
'mini_batch_size': 8,
'max_epochs': 100,
}
_ffhq1024_large = {
'display_name': 'FFHQ1024 VQ-VAE++',
'image_shape': (3, 1024, 1024),
'in_channels': 3,
'hidden_channels': 128,
'res_channels': 32,
'nb_res_layers': 2,
'embed_dim': 64,
'nb_entries': 512,
'nb_levels': 5,
'scaling_rates': [4, 2, 2, 2, 2],
'learning_rate': 1e-4,
'beta': 0.25,
'batch_size': 16,
'mini_batch_size': 8,
'max_epochs': 100,
}
_ffhq256 = {
'display_name': 'FFHQ256',
'image_shape': (3, 256, 256),
'in_channels': 3,
'hidden_channels': 128,
'res_channels': 64,
'nb_res_layers': 2,
'embed_dim': 64,
'nb_entries': 512,
'nb_levels': 2,
'scaling_rates': [4, 2],
'learning_rate': 1e-4,
'beta': 0.25,
'batch_size': 128,
'mini_batch_size': 128,
'max_epochs': 100,
}
_ffhq128 = {
'display_name': 'FFHQ128',
'image_shape': (3, 128, 128),
'in_channels': 3,
'hidden_channels': 128,
'res_channels': 32,
'nb_res_layers': 2,
'embed_dim': 64,
'nb_entries': 512,
'nb_levels': 2,
'scaling_rates': [4, 2],
'learning_rate': 1e-4,
'beta': 0.25,
'batch_size': 128,
'mini_batch_size': 128,
'max_epochs': 100,
}
_cifar10 = {
'display_name': 'CIFAR10',
'image_shape': (3, 32, 32),
'in_channels': 3,
'hidden_channels': 128,
'res_channels': 32,
'nb_res_layers': 2,
'embed_dim': 64,
'nb_entries': 512,
'nb_levels': 2,
'scaling_rates': [2, 2],
'learning_rate': 1e-3,
'beta': 0.25,
'batch_size': 128,
'mini_batch_size': 128,
'max_epochs': 100,
}
_mnist = {
'display_name': 'MNIST',
'image_shape': (1, 28, 28),
'in_channels': 1,
'hidden_channels': 128,
'res_channels': 32,
'nb_res_layers': 2,
'embed_dim': 32,
'nb_entries': 128,
'nb_levels': 2,
'scaling_rates': [2, 2],
'learning_rate': 1e-4,
'beta': 0.25,
'batch_size': 32,
'mini_batch_size': 32,
'max_epochs': 100,
}
_kmnist = {
'display_name': 'Kuzushiji-MNIST',
'image_shape': (1, 28, 28),
'in_channels': 1,
'hidden_channels': 128,
'res_channels': 32,
'nb_res_layers': 2,
'embed_dim': 32,
'nb_entries': 128,
'nb_levels': 2,
'scaling_rates': [2, 2],
'learning_rate': 1e-4,
'beta': 0.25,
'batch_size': 32,
'mini_batch_size': 32,
'max_epochs': 100,
}
HPS_VQVAE = {
'ffhq1024': SimpleNamespace(**(_common | _ffhq1024)),
'ffhq1024-large': SimpleNamespace(**(_common | _ffhq1024_large)),
'ffhq256': SimpleNamespace(**(_common | _ffhq256)),
'ffhq128': SimpleNamespace(**(_common | _ffhq128)),
'cifar10': SimpleNamespace(**(_common | _cifar10)),
'mnist': SimpleNamespace(**(_common | _mnist)),
'kmnist': SimpleNamespace(**(_common | _kmnist)),
}
"""
-- PixelSnail Hyperparameters --
"""
_common = {
'checkpoint_frequency': 1,
'image_frequency': 1,
'nb_workers': 4,
}
_mnist = {
'display_name': 'MNIST',
'batch_size': 256,
'mini_batch_size': 256,
'learning_rate': 1e-3,
'max_epochs': 100,
'scaling_rates': [2, 2],
'nb_entries': 128,
'level': [
SimpleNamespace(**{
'channel': 64,
'kernel_size': 5,
'nb_block': 3,
'nb_res_block': 4,
'nb_res_channel': 128,
'attention': True,
'dropout': 0.1,
'nb_cond_res_block': 4,
'nb_cond_res_channel': 128,
'nb_cond_in_res_block': 0,
'nb_out_res_block': 0,
}),
SimpleNamespace(**{
'channel': 64,
'kernel_size': 5,
'nb_block': 3,
'nb_res_block': 4,
'nb_res_channel': 128,
'attention': True,
'dropout': 0.1,
'nb_out_res_block': 4,
}),
]
}
_cifar10 = {
'display_name': 'CIFAR10',
'batch_size': 512,
'mini_batch_size': 128,
'learning_rate': 3e-4,
'max_epochs': 100,
'scaling_rates': [2, 2],
'nb_entries': 512,
'level': [
SimpleNamespace(**{
'channel': 256,
'kernel_size': 5,
'nb_block': 4,
'nb_res_block': 4,
'nb_res_channel': 256,
'attention': True,
'dropout': 0.1,
'nb_cond_res_block': 3,
'nb_cond_in_res_block': 3,
'nb_cond_res_channel': 256,
'nb_out_res_block': 0,
}),
SimpleNamespace(**{
'channel': 256,
'kernel_size': 5,
'nb_block': 4,
'nb_res_block': 4,
'nb_res_channel': 256,
'attention': True,
'dropout': 0.1,
'nb_out_res_block': 0,
}),
]
}
_ffhq256 = {
'display_name': 'FFHQ256',
'batch_size': 128,
'mini_batch_size': 16,
'learning_rate': 3e-4,
'max_epochs': 100,
'scaling_rates': [2, 2],
'nb_entries': 512,
'level': [
SimpleNamespace(**{
'channel': 512,
'kernel_size': 5,
'nb_block': 4,
'nb_res_block': 4,
'nb_res_channel': 1024,
'attention': False,
'dropout': 0.1,
'nb_cond_res_block': 20,
'nb_cond_in_res_block': 3,
'nb_cond_res_channel': 512,
'nb_out_res_block': 0,
}),
SimpleNamespace(**{
'channel': 512,
'kernel_size': 5,
'nb_block': 4,
'nb_res_block': 4,
'nb_res_channel': 2048,
'attention': True,
'dropout': 0.1,
'nb_out_res_block': 20,
}),
]
}
_ffhq1024 = {
'display_name': 'FFHQ1024',
'batch_size': 256,
'mini_batch_size': 8,
'learning_rate': 1e-4,
'max_epochs': 100,
'scaling_rates': [8, 2, 2],
'nb_entries': 512,
'level': [
SimpleNamespace(**{
'channel': 512,
'kernel_size': 5,
'nb_block': 4,
'nb_res_block': 2,
'nb_res_channel': 256,
'attention': False,
'dropout': 0.2,
'nb_cond_res_block': 8,
'nb_cond_in_res_block': 3,
'nb_cond_res_channel': 256,
'nb_out_res_block': 0,
}),
SimpleNamespace(**{
'channel': 512,
'kernel_size': 5,
'nb_block': 6,
'nb_res_block': 4,
'nb_res_channel': 256,
'attention': False,
'dropout': 0.3,
'nb_cond_res_block': 8,
'nb_cond_in_res_block': 3,
'nb_cond_res_channel': 256,
'nb_out_res_block': 0,
}),
SimpleNamespace(**{
'channel': 512,
'kernel_size': 5,
'nb_block': 5,
'nb_res_block': 4,
'nb_res_channel': 512,
'attention': True,
'dropout': 0.4,
'nb_out_res_block': 0,
}),
]
}
HPS_PIXEL = {
'mnist': SimpleNamespace(**(_common | _mnist)),
'cifar10': SimpleNamespace(**(_common | _cifar10)),
'ffhq256': SimpleNamespace(**(_common | _ffhq256)),
'ffhq1024': SimpleNamespace(**(_common | _ffhq1024)),
}