Update yaml configs
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@@ -1,7 +0,0 @@
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class_or_func: CIFAR10
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module_path: torchvision.datasets
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args: []
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kwargs:
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train: False
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download: True
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transform: null
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@@ -1,7 +0,0 @@
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class_or_func: CIFAR10
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module_path: torchvision.datasets
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args: []
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kwargs:
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train: True
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download: True
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transform: null
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22
configs/yaml.data/cifar10.test
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22
configs/yaml.data/cifar10.test
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@@ -0,0 +1,22 @@
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class_or_func: CIFAR10
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module_path: torchvision.datasets
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args: []
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kwargs:
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train: False
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download: True
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transform:
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class_or_func: Compose
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module_path: torchvision.transforms
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args:
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-
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- class_or_func: ToTensor
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module_path: torchvision.transforms
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args: []
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kwargs: {}
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- class_or_func: Normalize
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module_path: torchvision.transforms
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args: []
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kwargs:
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mean: (0.491, 0.482, 0.447)
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std: (0.247, 0.244, 0.262)
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kwargs: {}
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30
configs/yaml.data/cifar10.train
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30
configs/yaml.data/cifar10.train
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@@ -0,0 +1,30 @@
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class_or_func: CIFAR10
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module_path: torchvision.datasets
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args: []
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kwargs:
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train: True
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download: True
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transform:
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class_or_func: Compose
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module_path: torchvision.transforms
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args:
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-
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- class_or_func: RandomHorizontalFlip
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module_path: torchvision.transforms
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args: []
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kwargs: {}
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- class_or_func: RandomCrop
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module_path: torchvision.transforms
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args: [32]
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kwargs: {padding: 4}
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- class_or_func: ToTensor
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module_path: torchvision.transforms
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args: []
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kwargs: {}
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- class_or_func: Normalize
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module_path: torchvision.transforms
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args: []
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kwargs:
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mean: (0.491, 0.482, 0.447)
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std: (0.247, 0.244, 0.262)
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kwargs: {}
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4
configs/yaml.loss/cross-entropy
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4
configs/yaml.loss/cross-entropy
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@@ -0,0 +1,4 @@
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class_or_func: CrossEntropyLoss
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module_path: torch.nn
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args: []
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kwargs: {}
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4
configs/yaml.model/vit-cifar10.s0
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4
configs/yaml.model/vit-cifar10.s0
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@@ -0,0 +1,4 @@
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class_or_func: get_transformer
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module_path: xautodl.xmodels.transformers
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args: [vit-cifar10-p4-d4-h4-c32]
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kwargs: {}
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7
configs/yaml.opt/vit.cifar
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7
configs/yaml.opt/vit.cifar
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@@ -0,0 +1,7 @@
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class_or_func: Adam
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module_path: torch.optim
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args: []
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kwargs:
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betas: [0.9, 0.999]
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weight_decay: 0.1
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amsgrad: False
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