khanhnn55

/

nas951a0b828671

like 0

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

How to fix it?