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ViT-SwinT-Weights-AS1

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• "torch.nn.parallel.data_parallel.DataParallel",
• "timm.layers.mlp.Mlp",
• "torch.nn.modules.activation.ReLU",
• "__builtin__.set",
• "timm.layers.drop.DropPath",
• "torch.nn.modules.conv.Conv2d",
• "torch.FloatStorage",
• "torch.nn.modules.activation.Softmax",
• "torch.LongStorage",
• "timm.layers.format.Format",
• "timm.models.swin_transformer_v2.SwinTransformerV2",
• "timm.layers.classifier.ClassifierHead",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.activation.GELU",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "timm.models.swin_transformer_v2.SwinTransformerV2Block",
• "torch.nn.modules.normalization.LayerNorm",
• "timm.models.swin_transformer_v2.PatchMerging",
• "timm.layers.patch_embed.PatchEmbed",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Identity",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.nn.modules.dropout.Dropout",
• "torch.device",
• "torch.nn.modules.linear.Linear",
• "timm.models.swin_transformer_v2.WindowAttention",
• "timm.models.swin_transformer_v2.SwinTransformerV2Stage",
• "torch.nn.modules.container.Sequential",
• "timm.layers.adaptive_avgmax_pool.FastAdaptiveAvgPool"

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