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add autodl

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This commit is contained in:
mhz
2024-08-25 18:02:31 +02:00
parent 192f286cfb
commit a0a25f291c
431 changed files with 50646 additions and 8 deletions
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9
AutoDL-Projects/configs/search-archs/DARTS-NASNet-CIFAR.config Normal file
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{
"super_type" : ["str", "nasnet-super"],
"name" : ["str", "DARTS"],
"C" : ["int", "16" ],
"N" : ["int", "2" ],
"steps" : ["int", "4" ],
"multiplier" : ["int", "4" ],
"stem_multiplier" : ["int", "3" ]
}

9
AutoDL-Projects/configs/search-archs/GDAS-NASNet-CIFAR.config Normal file
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{
"super_type" : ["str", "nasnet-super"],
"name" : ["str", "GDAS"],
"C" : ["int", "16" ],
"N" : ["int", "2" ],
"steps" : ["int", "4" ],
"multiplier" : ["int", "4" ],
"stem_multiplier" : ["int", "3" ]
}

9
AutoDL-Projects/configs/search-archs/GDASFRC-NASNet-CIFAR.config Normal file
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{
"super_type" : ["str", "nasnet-super"],
"name" : ["str", "GDAS_FRC"],
"C" : ["int", "16" ],
"N" : ["int", "2" ],
"steps" : ["int", "4" ],
"multiplier" : ["int", "4" ],
"stem_multiplier" : ["int", "3" ]
}

9
AutoDL-Projects/configs/search-archs/ImageNet-MobileNetV2-X.config Normal file
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{
"dataset" : ["str", "imagenet"],
"arch" : ["str", "MobileNetV2"],
"width_mult" : ["float", 1.0],
"dropout" : ["float", 0.0],
"input_channel" : ["int", 32],
"last_channel" : ["int", 1280],
"block_name" : ["str", "InvertedResidual"]
}

8
AutoDL-Projects/configs/search-archs/ImageNet-ResNet18V1.config Normal file
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{
"dataset" : ["str", "imagenet"],
"arch" : ["str", "resnet"],
"block_name" : ["str", "BasicBlock"],
"layers" : ["int", [2,2,2,2]],
"deep_stem" : ["bool", 0],
"zero_init_residual" : ["bool", "1"]
}

8
AutoDL-Projects/configs/search-archs/ImageNet-ResNet34V1.config Normal file
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{
"dataset" : ["str", "imagenet"],
"arch" : ["str", "resnet"],
"block_name" : ["str", "BasicBlock"],
"layers" : ["int", [3,4,6,3]],
"deep_stem" : ["bool", 0],
"zero_init_residual" : ["bool", "1"]
}

8
AutoDL-Projects/configs/search-archs/ImageNet-ResNet50V1.config Normal file
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{
"dataset" : ["str", "imagenet"],
"arch" : ["str", "resnet"],
"block_name" : ["str", "Bottleneck"],
"layers" : ["int", [3,4,6,3]],
"deep_stem" : ["bool", 0],
"zero_init_residual" : ["bool", "1"]
}