GnanaPrasath

/

ocr_tamil

like 5

• "torch.nn.modules.container.Sequential",
• "ocr_tamil.strhub.models.parseq.modules.Decoder",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.sparse.Embedding",
• "torch.nn.modules.dropout.Dropout",
• "timm.models.vision_transformer.Attention",
• "torch.nn.modules.container.ModuleList",
• "ocr_tamil.strhub.models.parseq.modules.Encoder",
• "ocr_tamil.strhub.models.parseq.system.PARSeq",
• "torch.device",
• "ocr_tamil.strhub.data.utils.Tokenizer",
• "torch.FloatStorage",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.activation.MultiheadAttention",
• "numpy.random._pickle.__bit_generator_ctor",
• "timm.layers.patch_embed.PatchEmbed",
• "ocr_tamil.strhub.models.parseq.modules.TokenEmbedding",
• "numpy.random._pickle.__generator_ctor",
• "collections.OrderedDict",
• "re._compile",
• "pytorch_lightning.utilities.parsing.AttributeDict",
• "torch._utils._rebuild_parameter",
• "ocr_tamil.strhub.models.parseq.modules.DecoderLayer",
• "torch.nn.modules.linear.Identity",
• "timm.layers.format.Format",
• "ocr_tamil.strhub.data.utils.CharsetAdapter",
• "timm.layers.mlp.Mlp",
• "__builtin__.set",
• "timm.models.vision_transformer.Block",
• "torch.nn.modules.linear.Linear",
• "torch.float32",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch._C._nn.gelu"

How to fix it?