ENOT-AutoDL

/

coco-benchmark

like 5

Follow

ENOT AutoDL 13

• "collections.OrderedDict",
• "torch.nn.modules.activation.ReLU",
• "torchvision.models.segmentation.deeplabv3.DeepLabHead",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.activation.Hardswish",
• "torchvision.ops.misc.Conv2dNormActivation",
• "argparse.Namespace",
• "torchvision.ops.misc.SqueezeExcitation",
• "torch.FloatStorage",
• "torchvision.models.segmentation.deeplabv3.ASPPPooling",
• "torch.nn.modules.container.ModuleList",
• "torchvision.models.mobilenetv3.InvertedResidual",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.models.segmentation.fcn.FCNHead",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "torchvision.models.segmentation.deeplabv3.ASPP",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.models.segmentation.deeplabv3.DeepLabV3",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.Hardsigmoid",
• "__builtin__.set",
• "torch.LongStorage",
• "torchvision.models.segmentation.deeplabv3.ASPPConv"

How to fix it?

• "torch.FloatStorage",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.Hardswish",
• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.models.segmentation.fcn.FCNHead",
• "torchvision.models.segmentation.deeplabv3.ASPP",
• "torchvision.models.mobilenetv3.InvertedResidual",
• "torch._utils._rebuild_parameter",
• "argparse.Namespace",
• "torchvision.models.segmentation.deeplabv3.DeepLabV3",
• "collections.OrderedDict",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.LongStorage",
• "torchvision.ops.misc.SqueezeExcitation",
• "torchvision.models.segmentation.deeplabv3.DeepLabHead",
• "torchvision.models.segmentation.deeplabv3.ASPPConv",
• "torch._utils._rebuild_tensor_v2",
• "torchvision.ops.misc.Conv2dNormActivation",
• "torchvision.models.segmentation.deeplabv3.ASPPPooling",
• "__builtin__.set",
• "torch.nn.modules.activation.Hardsigmoid",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.activation.ReLU"

How to fix it?

• "torch.nn.modules.batchnorm.SyncBatchNorm",
• "torchvision.ops.misc.SqueezeExcitation",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torchvision.models._utils.IntermediateLayerGetter",
• "torchvision.models.segmentation.fcn.FCNHead",
• "torchvision.models.segmentation.deeplabv3.DeepLabHead",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.activation.Hardsigmoid",
• "torch._utils._rebuild_tensor_v2",
• "torchvision.models.segmentation.deeplabv3.ASPP",
• "torch.LongStorage",
• "torchvision.models.mobilenetv3.InvertedResidual",
• "torch.nn.modules.container.Sequential",
• "torchvision.models.segmentation.deeplabv3.ASPPConv",
• "torchvision.models.segmentation.deeplabv3.DeepLabV3",
• "torch.nn.modules.activation.Hardswish",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "torchvision.ops.misc.Conv2dNormActivation",
• "argparse.Namespace",
• "torch.nn.modules.activation.ReLU",
• "torchvision.models.segmentation.deeplabv3.ASPPPooling",
• "torch.nn.modules.conv.Conv2d",
• "torch.FloatStorage"

How to fix it?