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Segmento_de_Angio_Coronariana_v4

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• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_1623.BatchNorm2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_2138.SiLU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2172.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2077.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2259.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1991.Conv2d",
• "__torch__.timm.models.layers.norm_act.___torch_mangle_2169.BatchNormAct2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2066.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_2186.Sequential",
• "__torch__.timm.models.layers.squeeze_excite.___torch_mangle_1751.SEModule",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1936.Conv2d",
• "__torch__.timm.models.regnet.___torch_mangle_2135.Bottleneck",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2184.Identity",
• "__torch__.torch.nn.modules.activation.___torch_mangle_1663.SiLU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1883.Identity",
• "__torch__.timm.models.layers.conv_bn_act.___torch_mangle_2220.ConvNormAct",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2271.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1958.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1774.Conv2d",
• "__torch__.torch.nn.modules.linear.___torch_mangle_2107.Identity",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2016.Conv2d",
• "__torch__.torch.nn.modules.activation.___torch_mangle_1963.SiLU",
• "__torch__.torch.nn.modules.activation.___torch_mangle_1699.SiLU",
• "__torch__.torch.nn.modules.linear.___torch_mangle_1809.Identity",
• "torch.LongStorage",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict"

How to fix it?