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lora_ta_checkpoints

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• "open_clip.model.CLIP",
• "torch._utils._rebuild_tensor_v2",
• "torchvision.transforms.transforms.Normalize",
• "open_clip.transformer.Transformer",
• "torch.nn.modules.conv.Conv2d",
• "torchvision.transforms.transforms.RandomResizedCrop",
• "torch.nn.modules.linear.Identity",
• "open_clip.transformer.VisionTransformer",
• "torchvision.transforms.transforms.Resize",
• "torch.nn.modules.container.Sequential",
• "open_clip.transformer.QuickGELU",
• "torch.nn.modules.sparse.Embedding",
• "torchvision.transforms.transforms.CenterCrop",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "src.modeling.ImageEncoder",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.linear.Linear",
• "open_clip.transform._convert_to_rgb",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "torchvision.transforms.transforms.ToTensor",
• "torchvision.transforms.functional.InterpolationMode",
• "open_clip.transformer.ResidualAttentionBlock",
• "open_clip.transformer.LayerNorm",
• "__builtin__.set",
• "torchvision.transforms.transforms.Compose"

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