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---

Duplicated from  VikramSingh178/MedicalImagingApplication

epochs-demos

/

MedicalImagingApp

like 4

Runtime error

• "torch._utils._rebuild_tensor_v2",
• "__main__.FineTuneModel",
• "timm.models.efficientnet_blocks.SqueezeExcite",
• "lightning.pytorch.utilities.parsing.AttributeDict",
• "torch.distributed._shard.sharded_tensor.state_dict_hook",
• "torchmetrics.utilities.data.dim_zero_sum",
• "torch.float32",
• "torch.nn.modules.module._WrappedHook",
• "torchmetrics.classification.f_beta.MulticlassF1Score",
• "torch.nn.modules.conv.Conv2d",
• "timm.models.layers.norm_act.BatchNormAct2d",
• "torch.LongStorage",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "timm.models.efficientnet.EfficientNet",
• "torchmetrics.classification.accuracy.MulticlassAccuracy",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.activation.SiLU",
• "torch.FloatStorage",
• "torchmetrics.classification.precision_recall.MulticlassRecall",
• "collections.OrderedDict",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.container.Sequential",
• "__builtin__.set",
• "timm.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch.distributed._shard.sharded_tensor.pre_load_state_dict_hook",
• "torchmetrics.metric.jit_distributed_available",
• "torch.device",
• "torch.nn.modules.linear.Linear",
• "timm.models.efficientnet_blocks.DepthwiseSeparableConv",
• "torch._utils._rebuild_parameter",
• "timm.models.efficientnet_blocks.InvertedResidual"

How to fix it?