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MaxViT_lung_cancer

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• "torch.nn.modules.dropout.Dropout",
• "timm.models.maxxvit.MbConvBlock",
• "torch.nn.modules.linear.Identity",
• "torch.nn.parallel.data_parallel.DataParallel",
• "timm.layers.conv2d_same.Conv2dSame",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter",
• "timm.layers.norm.LayerNorm",
• "timm.models.maxxvit.Stem",
• "timm.layers.classifier.NormMlpClassifierHead",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.container.Sequential",
• "timm.layers.activations.GELUTanh",
• "timm.layers.pos_embed_rel.RelPosBiasTf",
• "torch.FloatStorage",
• "timm.layers.norm.LayerNorm2d",
• "timm.layers.activations.Tanh",
• "timm.models.maxxvit.MaxxVit",
• "timm.layers.mlp.Mlp",
• "timm.layers.pool2d_same.AvgPool2dSame",
• "torch.device",
• "timm.layers.squeeze_excite.SEModule",
• "torch.nn.modules.flatten.Flatten",
• "timm.models.maxxvit.Downsample2d",
• "timm.layers.norm_act.BatchNormAct2d",
• "timm.models.maxxvit.PartitionAttentionCl",
• "timm.layers.activations.Sigmoid",
• "timm.models.maxxvit.MaxxVitStage",
• "__builtin__.set",
• "timm.models.maxxvit.AttentionCl",
• "torch.LongStorage",
• "timm.models.maxxvit.MaxxVitBlock",
• "torch.nn.modules.activation.SiLU"

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