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CustomTransformerClassification

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• "torch._utils._rebuild_parameter",
• "custom_transformer.encoder.MultiHeadSelfAttention",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.normalization.LayerNorm",
• "custom_transformer.embedding.Embedding",
• "torchvision.transforms.transforms.Resize",
• "torch._utils._rebuild_tensor_v2",
• "custom_transformer.encoder.MLPBlock",
• "__builtin__.set",
• "torch.LongStorage",
• "torchvision.transforms.autoaugment.TrivialAugmentWide",
• "torchmetrics.classification.f_beta.MulticlassF1Score",
• "model.ClassifierModel",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.Sequential",
• "torch.FloatStorage",
• "torch.device",
• "torch.float32",
• "custom_transformer.vit.ViT",
• "custom_transformer.encoder.MSABlock",
• "custom_transformer.encoder.TransformerEncoderBlock",
• "torchmetrics.utilities.data.dim_zero_sum",
• "torchvision.transforms.functional.InterpolationMode",
• "lightning.pytorch.utilities.parsing.AttributeDict",
• "torchmetrics.metric.jit_distributed_available",
• "torchvision.transforms.transforms.ToTensor",
• "torch.nn.modules.conv.Conv2d",
• "collections.OrderedDict",
• "custom_transformer.embedding.PatchEmbedding",
• "torchvision.transforms.transforms.Compose"

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