ENOT-AutoDL

/

imagenet-benchmark

like 9

• "torchvision.models.mobilenetv2.MobileNetV2",
• "torch.FloatStorage",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.ReLU6",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.Sequential",
• "argparse.Namespace",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "__builtin__.set",
• "torch.LongStorage",
• "torchvision.ops.misc.Conv2dNormActivation",
• "torch.nn.modules.conv.Conv2d",
• "collections.OrderedDict",
• "torchvision.models.mobilenetv2.InvertedResidual",
• "torch.nn.modules.dropout.Dropout"

How to fix it?

• "torch.nn.modules.activation.ReLU6",
• "collections.OrderedDict",
• "torch.LongStorage",
• "torch.nn.modules.container.Sequential",
• "argparse.Namespace",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torchvision.models.mobilenetv2.InvertedResidual",
• "torchvision.ops.misc.Conv2dNormActivation",
• "torchvision.models.mobilenetv2.MobileNetV2",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.dropout.Dropout",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear"

How to fix it?