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Torchscript-Inference

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• "__torch__.torch.nn.modules.linear.___torch_mangle_42.Identity",
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• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_47.BatchNorm2d",
• "__torch__.src.models.dogbreed_classifier.DogBreedClassifier",
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• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torchmetrics.classification.accuracy.___torch_mangle_83.MulticlassAccuracy",
• "__torch__.torch.nn.modules.conv.___torch_mangle_33.Conv2d",
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• "__torch__.torch.nn.modules.conv.___torch_mangle_55.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_3.Identity",
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• "__torch__.timm.models.resnet.___torch_mangle_15.BasicBlock",
• "__torch__.torch.nn.modules.conv.___torch_mangle_12.Conv2d",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_9.Identity",
• "__torch__.torch.nn.modules.container.___torch_mangle_48.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_50.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_56.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_35.ReLU",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch.jit._pickle.restore_type_tag"

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