NUSTM

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FacialMMT

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Text Mining Group, Nanjing University of Science and Technology 6

• "torch.nn.parallel.data_parallel.DataParallel",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.dropout.Dropout",
• "torch.float32",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "modules.SwinTransformer.Swin_Transformer.WindowAttention",
• "collections.defaultdict",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.linear.Identity",
• "torch.cuda.amp.grad_scaler.GradScaler",
• "torch.LongStorage",
• "modules.SwinTransformer.Swin_Transformer.SwinTransformer",
• "modules.SwinTransformer.Swin_Transformer.SwinTransformerBlock",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.GELU",
• "src.models.SwinForAffwildClassification",
• "lightning_lite.plugins.precision.native_amp.NativeMixedPrecision",
• "modules.SwinTransformer.Swin_Transformer.BasicLayer",
• "modules.SwinTransformer.Swin_Transformer.PatchMerging",
• "torch.cuda.amp.grad_scaler._refresh_per_optimizer_state",
• "torch.nn.modules.linear.Linear",
• "timm.layers.drop.DropPath",
• "torch.nn.modules.activation.Softmax",
• "modules.SwinTransformer.Swin_Transformer.Mlp",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "torch.nn.modules.container.ModuleList",
• "modules.SwinTransformer.Swin_Transformer.PatchEmbed",
• "torch.nn.modules.container.Sequential",
• "modules.SwinTransformer.Swin_Transformer.Flatten",
• "lightning_lite.wrappers._LiteModule",
• "torch.device"

How to fix it?

• "torch.nn.parallel.data_parallel.DataParallel",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.bert.modeling_bert.BertSelfAttention",
• "torch.float32",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "modules.CrossmodalTransformer.TransformerEncoderLayer",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "transformers.models.bert.modeling_bert.BertAttention",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "collections.defaultdict",
• "torch.cuda.amp.grad_scaler.GradScaler",
• "modules.multihead_attention.MultiheadAttention",
• "torch.LongStorage",
• "torch.nn.modules.activation.Tanh",
• "modules.Transformer.SelfAttention",
• "torch._utils._rebuild_tensor_v2",
• "modules.Transformer.gelu",
• "modules.Transformer.LayerNorm",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.bert.modeling_bert.BertPooler",
• "lightning_lite.plugins.precision.native_amp.NativeMixedPrecision",
• "transformers.activations.GELUActivation",
• "torch._C._nn.gelu",
• "torch.cuda.amp.grad_scaler._refresh_per_optimizer_state",
• "transformers.models.bert.modeling_bert.BertLayer",
• "torch.nn.modules.linear.Linear",
• "src.models.MultiModalTransformerForClassification",
• "modules.Transformer.MELDTransEncoder",
• "modules.Transformer.Residual_Norm",
• "modules.Transformer.Output_Residual_Norm",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "modules.Transformer.AdditiveAttention",
• "torch.nn.modules.container.ModuleList",
• "modules.Transformer.TransformerIntermediate",
• "transformers.models.bert.modeling_bert.BertModel",
• "transformers.models.bert.modeling_bert.BertOutput",
• "modules.Transformer.MultiHeadSelfAttention",
• "lightning_lite.wrappers._LiteModule",
• "transformers.models.bert.configuration_bert.BertConfig",
• "modules.Transformer.TransformerEnoderLayer",
• "torch.device",
• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "modules.CrossmodalTransformer.CrossModalTransformerEncoder",
• "modules.position_embedding.SinusoidalPositionalEmbedding"

How to fix it?