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backup.txt
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backup.txt
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######
###############################################################Train config:
{
"arch": ["mlp"],
"dataset": ["SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192,16384,32768],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
}
{
"arch": ["mlp"],
"dataset": ["MNIST"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192,16384,32768],
"batchsize": [64],
"lr": [0.01],
"lr_schedule": [0],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
}
##### Train 4K epochs
{
"arch": ["mlp"],
"dataset": ["MNIST"],
"nlayers": [1],
"width": [4,8],
"batchsize": [64],
"lr": [0.01],
"lr_schedule": [0],
"epochs": [3000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
},
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [4,8,16,32],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [3000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
},
{
"arch": ["mlp"],
"dataset": ["SVHN", "CIFAR100"],
"nlayers": [1],
"width": [4,8,16,32,64,128],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [3000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
}
############## Depth
{
"arch": ["mlp"],
"dataset": ["MNIST"],
"nlayers": [2,4,8],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21],
"width": [1024],
"batchsize": [64],
"lr": [0.01],
"lr_schedule": [0],
"epochs": [1000],
"stopcond": [0.01]
},
{
"arch": ["mlp"],
"dataset": ["SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [2,4,8],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21],
"width": [1024],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [1000],
"stopcond": [0.01]
}
######################################################################### sconv train
{
"arch": ["s_conv"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [2],
"width": [8,16,32,64,128,256,512,1024],
"batchsize": [256],
"lr": [0.02],
"lr_schedule": [1],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
},
{
"arch": ["s_conv"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [4,6,8],
"width": [1024],
"batchsize": [256],
"lr": [0.02],
"lr_schedule": [1],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
}
############################################################ resnet train
{
"arch": ["resnet18"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [18],
"width": [16,32,64,128,256],
"batchsize": [256],
"lr": [0.02],
"lr_schedule": [1],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
},
{
"arch": ["resnet34"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [34],
"width": [64],
"batchsize": [256],
"lr": [0.02],
"lr_schedule": [1],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
},
{
"arch": ["resnet50"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [50],
"width": [64],
"batchsize": [256],
"lr": [0.02],
"lr_schedule": [1],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
}
########################################################### VGG Train
[
{
"arch": ["vgg16_bn"],
"dataset": ["MNIST","SVHN","CIFAR10", "CIFAR100"],
"nlayers": [16],
"width": [16,32,64,128],
"batchsize": [256],
"lr": [0.02],
"lr_schedule": [1],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
},
{
"arch": ["vgg11_bn"],
"dataset": ["MNIST","SVHN","CIFAR10", "CIFAR100"],
"nlayers": [11],
"width": [64],
"batchsize": [256],
"lr": [0.02],
"lr_schedule": [1],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
},
{
"arch": ["vgg13_bn"],
"dataset": ["MNIST","SVHN","CIFAR10", "CIFAR100"],
"nlayers": [13],
"width": [64],
"batchsize": [256],
"lr": [0.02],
"lr_schedule": [1],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
},
{
"arch": ["vgg19_bn"],
"dataset": ["MNIST","SVHN","CIFAR10", "CIFAR100"],
"nlayers": [19],
"width": [64],
"batchsize": [256],
"lr": [0.02],
"lr_schedule": [1],
"epochs": [1000],
"stopcond": [0.01],
"seed": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]
}
]
#### Barrier
{
"arch": ["mlp"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192,16384,32768],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
}
{
"arch": ["s_conv"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [2],
"width": [8,16,32,64,128,256,512,1024],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
}
### Depth
{
"arch": ["mlp"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [2],
"width": [1024],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
}
{
"arch": ["s_conv"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [4,6,8],
"width": [1024],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
}
############################################################### VGG and ResNet barrier
[
{
"arch": ["vgg16_bn"],
"dataset": ["MNIST","SVHN","CIFAR10", "CIFAR100"],
"nlayers": [16],
"width": [16,32,64,128],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
},
{
"arch": ["vgg11_bn"],
"dataset": ["MNIST","SVHN","CIFAR10", "CIFAR100"],
"nlayers": [11],
"width": [64],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
},
{
"arch": ["vgg13_bn"],
"dataset": ["MNIST","SVHN","CIFAR10", "CIFAR100"],
"nlayers": [13],
"width": [64],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
},
{
"arch": ["vgg19_bn"],
"dataset": ["MNIST","SVHN","CIFAR10", "CIFAR100"],
"nlayers": [19],
"width": [64],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
},
{
"arch": ["resnet18"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [18],
"width": [16,32,64,128,256],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
},
{
"arch": ["resnet34"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [34],
"width": [64],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
},
{
"arch": ["resnet50"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [50],
"width": [64],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5,6,7,8,9,10]
}
]
####### Basin Barrier
{
"arch": ["mlp"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192,16384,32768],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1]
},
{
"arch": ["s_conv"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [2],
"width": [8,16,32,64,128,256,512,1024],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1]
}
#### FD fool
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1],
"u_mean": [4, 3, 2, 1, 0.7, 0.4, 0.2, 0.1, 0, -0.1, -0.2, -0.4, -0.7, -1, -2, -3, -4],
"u_std": [1, 0.4, 0.2, 0.1,0.01]
}
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1],
"u_mean": [0.7, 0.4, 0.2, 0.1, 0],
"u_std": [0.40, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.50, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.60, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.70, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.80, 0.81, 0.82, 0.83, 0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.90, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0]
}
#### ScalerNoise:Zoomed
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1],
"u_mean": [0],
"u_std": [0.95,0.952,0.954,0.956,0.958,0.96]
}
#### init gaussian
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [3000],
"stopcond": [0.01],
"wd": [0],
"seed": [1],
"scratch": [0],
"alpha": [0.0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16, 0.18, 0.2, 0.22, 0.24, 0.26, 0.28, 0.3, 0.32, 0.34, 0.36, 0.38, 0.4, 0.42, 0.44, 0.46, 0.48, 0.5, 0.52, 0.54, 0.56, 0.58, 0.6, 0.62, 0.64, 0.66, 0.68, 0.7, 0.72, 0.74, 0.76, 0.78, 0.8, 0.82, 0.84, 0.86, 0.88, 0.9, 0.92, 0.94, 0.96, 0.98, 1.0]
}
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [3000],
"stopcond": [0.01],
"wd": [0],
"seed": [3],
"scratch": [0],
"alpha": [0.0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16, 0.18, 0.2, 0.22, 0.24, 0.26, 0.28, 0.3, 0.32, 0.34, 0.36, 0.38, 0.4, 0.42, 0.44, 0.46, 0.48, 0.5, 0.52, 0.54, 0.56, 0.58, 0.6, 0.62, 0.64, 0.66, 0.68, 0.7, 0.72, 0.74, 0.76, 0.78, 0.8, 0.82, 0.84, 0.86, 0.88, 0.9, 0.92, 0.94, 0.96, 0.98, 1.0]
}
###################### sharepath
## init
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [20],
"stopcond": [0.01],
"wd": [0],
"seed": [0],
"scratch": [1],
"shared_path": [0]
}
### train two branches
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [3000],
"stopcond": [0.01],
"wd": [0],
"seed": [1,2],
"scratch": [0],
"shared_path": [0,5,10]
}
############################ init - real world relaxed
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [3000],
"stopcond": [0.01],
"wd": [0],
"seed": [2],
"scratch": [0],
"alpha": [0.0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16, 0.18, 0.2, 0.22, 0.24, 0.26, 0.28, 0.3, 0.32, 0.34, 0.36, 0.38, 0.4, 0.42, 0.44, 0.46, 0.48, 0.5, 0.52, 0.54, 0.56, 0.58, 0.6, 0.62, 0.64, 0.66, 0.68, 0.7, 0.72, 0.74, 0.76, 0.78, 0.8, 0.82, 0.84, 0.86, 0.88, 0.9, 0.92, 0.94, 0.96, 0.98, 1.0]
}
######## Gaussian init_scaled
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [1],
"width": [256, 512, 1024, 2048, 4096, 8192],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [3000],
"stopcond": [0.01],
"wd": [0],
"seed": [1, 2],
"scratch": [0],
"alpha": [0.0, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24, 0.28, 0.32, 0.36, 0.4],
"u_mean": [0],
"u_std": [1, 0.96, 0.95, 0.94, 0.9, 0.8, 0.4, 0.2, 0.1, 0.01]
}
############################## scaler Noise final
{
"arch": ["mlp"],
"dataset": ["MNIST", "SVHN", "CIFAR100"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1],
"u_mean": [0],
"u_std": [0.01, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 0.91, 0.92, 0.93, 0.94, 0.95, 0.958, 0.96, 0.97, 0.98, 0.99]
}
#############################################################################3 FD fool
### Train MLP 2 layer
{
"arch": ["mlp"],
"dataset": ["MNIST", "SVHN", "CIFAR100"],
"nlayers": [2],
"width": [8192],
"batchsize": [64],
"lr": [0.001],
"lr_schedule": [0],
"epochs": [3000],
"stopcond": [0.01],
"wd": [0],
"seed": [5,20,3,11,6,12,18,13,14,19],
}
##### FD MLP 1layer
{
"arch": ["mlp"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3],
"u_mean": [0],
"u_std": [0.96]
}
{
"arch": ["mlp"],
"dataset": ["MNIST", "SVHN", "CIFAR10", "CIFAR100"],
"nlayers": [1],
"width": [4,8,16,32,64,128,256,512,1024,2048,4096,8192],
"batchsize": [256],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3],
"u_mean": [0],
"u_std": [0]
}
### FD MLP 2layer
{
"arch": ["mlp"],
"dataset": ["CIFAR10"],
"nlayers": [2],
"width": [8192],
"batchsize": [4],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3,4,5],
"u_mean": [0],
"u_std": [0.90,0.92,0.94,0.96,0.98]
}
{
"arch": ["mlp"],
"dataset": ["SVHN", "CIFAR100"],
"nlayers": [2],
"width": [8192],
"batchsize": [4],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3],
"u_mean": [0],
"u_std": [0.92,0.94,0.96,0.98]
}
{
"arch": ["mlp"],
"dataset": ["SVHN", "CIFAR100"],
"nlayers": [2],
"width": [8192],
"batchsize": [4],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3],
"u_mean": [0],
"u_std": [0]
}
### FD Sconv 2layer
{
"arch": ["s_conv"],
"dataset": ["SVHN","CIFAR10", "CIFAR100"],
"nlayers": [2],
"width": [1024],
"batchsize": [4],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3],
"u_mean": [0],
"u_std": [0]
}
{
"arch": ["s_conv"],
"dataset": ["SVHN","CIFAR10", "CIFAR100"],
"nlayers": [2],
"width": [1024],
"batchsize": [4],
"tmax":[10000],
"tmin":[0.00001],
"steps":[50000],
"pair": [1,2,3],
"u_mean": [0],
"u_std": [0.94,0.96,0.98,0.90,0.92]
}