pepecalero

/

TorchscriptSplitModels

like 0

• "__torch__.torch.nn.modules.container.___torch_mangle_42.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_3.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1.Conv2d",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_13.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_10.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_28.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_26.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_5.Bottleneck",
• "__torch__.torchvision.models.resnet.___torch_mangle_25.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_11.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "__torch__.___torch_mangle_43.Part",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_8.BatchNorm2d",
• "__torch__.torch.nn.modules.pooling.MaxPool2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torchvision.models.resnet.Bottleneck",
• "torch.LongStorage",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torchvision.models.resnet.___torch_mangle_17.Bottleneck",
• "__torch__.torch.nn.modules.conv.___torch_mangle_19.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.conv.___torch_mangle_7.Conv2d",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.torch.nn.modules.conv.___torch_mangle_12.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_23.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_22.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_15.Conv2d",
• "__torch__.torchvision.models.resnet.___torch_mangle_14.Bottleneck",
• "__torch__.torch.nn.modules.container.___torch_mangle_24.Sequential"

How to fix it?