nasgod01

/

nas50e24e161bb8

like 0

• "__torch__.model.mobilenet_v3.ECABlock",
• "__torch__.model.mobilenet_v3.___torch_mangle_13.CoordAtt",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_2.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_24.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_40.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_46.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_44.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_39.BatchNorm2d",
• "__torch__.model.mobilenet_v3.CoordAtt",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "__torch__.torch.nn.modules.conv.Conv1d",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.conv.___torch_mangle_38.Conv2d",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.conv.___torch_mangle_6.Conv2d",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_18.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_31.Conv2d",
• "__torch__.model.mobilenet_v3.___torch_mangle_22.CoordAtt",
• "__torch__.torch.nn.modules.container.___torch_mangle_54.Sequential",
• "__torch__.model.mobilenet_v3.___torch_mangle_16.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_50.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_19.Conv2d",
• "__torch__.model.mobilenet_v3.___torch_mangle_42.ECABlock",
• "__torch__.model.mobilenet_v3.___torch_mangle_45.CoordAtt",
• "__torch__.torch.nn.modules.conv.___torch_mangle_26.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_51.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv1d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_53.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_27.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.GELU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_56.Conv2d",
• "__torch__.model.mobilenet_v3.___torch_mangle_52.CoordAtt",
• "__torch__.model.mobilenet_v3.___torch_mangle_10.ECABlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_41.Conv1d",
• "__torch__.torch.nn.modules.container.___torch_mangle_36.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_17.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_28.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_58.Sequential",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.conv.___torch_mangle_14.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_49.Conv2d",
• "__torch__.torch.nn.modules.activation.Sigmoid",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_35.BatchNorm2d",
• "__torch__.model.mobilenet_v3.MobileNetECA",
• "collections.OrderedDict",
• "__torch__.model.mobilenet_v3.___torch_mangle_37.InvertedResidual",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_57.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_59.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_47.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_12.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_32.Conv2d",
• "__torch__.model.mobilenet_v3.___torch_mangle_30.ECABlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_29.Conv1d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_43.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_34.Conv2d",
• "__torch__.model.mobilenet_v3.___torch_mangle_55.InvertedResidual",
• "__torch__.model.mobilenet_v3.___torch_mangle_48.InvertedResidual",
• "__torch__.model.mobilenet_v3.___torch_mangle_33.CoordAtt",
• "__torch__.model.mobilenet_v3.___torch_mangle_25.InvertedResidual",
• "__torch__.model.mobilenet_v3.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_7.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_15.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_5.BatchNorm2d"

How to fix it?