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Multimodal_urdu

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• "collections.OrderedDict",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "transformers.activations.GELUActivation",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.parallel.data_parallel.DataParallel",
• "torch.FloatStorage",
• "transformers.models.bert.modeling_bert.BertPooler",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.bert.modeling_bert.BertOutput",
• "torch.nn.modules.conv.Conv2d",
• "__builtin__.set",
• "torchvision.models.inception.InceptionE",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Linear",
• "torchvision.models.inception.InceptionA",
• "transformers.models.bert.modeling_bert.BertAttention",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
• "torchvision.models.inception.InceptionD",
• "transformers.models.bert.configuration_bert.BertConfig",
• "torchvision.models.inception.BasicConv2d",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "__main__.TensorFusionMultimodalModel",
• "torch.device",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.Tanh",
• "torch.nn.modules.flatten.Flatten",
• "torch._C._nn.gelu",
• "torch.nn.modules.container.Sequential",
• "torch.LongStorage",
• "torch._utils._rebuild_parameter",
• "torch.float32",
• "torchvision.models.inception.InceptionB",
• "transformers.models.bert.modeling_bert.BertModel",
• "torchvision.models.inception.InceptionC",
• "transformers.models.bert.modeling_bert.BertLayer"

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