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iLearn-Lab 131

• "fusion.self_fusion.FourierSelfFusion",
• "model_new.BindingDecoder",
• "torch.FloatStorage",
• "model_new.ScoreNet",
• "open_clip.model.CLIP",
• "open_clip.transformer.VisionTransformer",
• "model_new.FeatureWiseAffine",
• "fusion.convolution.convolution.ConvolutionBlock",
• "fusion.self_fusion.MatrixSelfFusion",
• "torch.nn.modules.linear.Identity",
• "open_clip.transformer.LayerNorm",
• "model_new.Backbone",
• "torch.nn.modules.dropout.Dropout",
• "GAT.MultiHeadAttention",
• "regex._regex.compile",
• "torch.nn.modules.container.Sequential",
• "fusion.utils.layer_norm.LayerNorm",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "open_clip.transformer.Transformer",
• "torch.nn.modules.activation.Sigmoid",
• "fusion.matrix.matrix.MatrixBlock",
• "torch.nn.modules.activation.GELU",
• "model_new.GAT",
• "model_new.OPT",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "fusion.fourier.fourier.FNetBlock",
• "model_new.MappingNet",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ReLU",
• "__builtin__.getattr",
• "open_clip.tokenizer.SimpleTokenizer",
• "fusion.fourier.fourier.FourierFFN",
• "torch.nn.modules.normalization.LayerNorm",
• "fusion.utils.model_cfgs.FusionConfigs",
• "model_new.Encoder",
• "intermediate_align.Refinement",
• "open_clip.transformer.ResidualAttentionBlock",
• "fusion.self_fusion.AttentionSelfFusion",
• "fusion.attention.fc.FC",
• "torch.nn.modules.activation.Softmax",
• "fusion.fourier.fc.FC",
• "_codecs.encode",
• "torch.nn.modules.conv.Conv2d",
• "fusion.attention.attention.AttentionFFN",
• "fusion.fourier.fc.MLP",
• "model_new.JointSemantic",
• "fusion.attention.attention.MHAtt",
• "fusion.attention.fc.MLP",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "__builtin__.set",
• "torch.nn.modules.sparse.Embedding",
• "fusion.self_fusion.ConvolutionSelfFusion",
• "open_clip.tokenizer._clean_lower",
• "torch.nn.modules.activation.MultiheadAttention",
• "GAT.GATLayer",
• "model_new.FactorNet",
• "torch.LongStorage",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "fusion.self_fusion.FourierSelfFusion",
• "model_new.BindingDecoder",
• "torch.FloatStorage",
• "model_new.ScoreNet",
• "open_clip.model.CLIP",
• "open_clip.transformer.VisionTransformer",
• "model_new.FeatureWiseAffine",
• "fusion.convolution.convolution.ConvolutionBlock",
• "fusion.self_fusion.MatrixSelfFusion",
• "torch.nn.modules.linear.Identity",
• "open_clip.transformer.LayerNorm",
• "model_new.Backbone",
• "torch.nn.modules.dropout.Dropout",
• "GAT.MultiHeadAttention",
• "regex._regex.compile",
• "torch.nn.modules.container.Sequential",
• "fusion.utils.layer_norm.LayerNorm",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "open_clip.transformer.Transformer",
• "torch.nn.modules.activation.Sigmoid",
• "fusion.matrix.matrix.MatrixBlock",
• "torch.nn.modules.activation.GELU",
• "model_new.GAT",
• "model_new.OPT",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "fusion.fourier.fourier.FNetBlock",
• "model_new.MappingNet",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ReLU",
• "__builtin__.getattr",
• "open_clip.tokenizer.SimpleTokenizer",
• "fusion.fourier.fourier.FourierFFN",
• "torch.nn.modules.normalization.LayerNorm",
• "fusion.utils.model_cfgs.FusionConfigs",
• "model_new.Encoder",
• "intermediate_align.Refinement",
• "open_clip.transformer.ResidualAttentionBlock",
• "fusion.self_fusion.AttentionSelfFusion",
• "fusion.attention.fc.FC",
• "torch.nn.modules.activation.Softmax",
• "fusion.fourier.fc.FC",
• "_codecs.encode",
• "torch.nn.modules.conv.Conv2d",
• "fusion.attention.attention.AttentionFFN",
• "fusion.fourier.fc.MLP",
• "model_new.JointSemantic",
• "fusion.attention.attention.MHAtt",
• "fusion.attention.fc.MLP",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "__builtin__.set",
• "torch.nn.modules.sparse.Embedding",
• "fusion.self_fusion.ConvolutionSelfFusion",
• "open_clip.tokenizer._clean_lower",
• "torch.nn.modules.activation.MultiheadAttention",
• "GAT.GATLayer",
• "model_new.FactorNet",
• "torch.LongStorage",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "fusion.self_fusion.FourierSelfFusion",
• "model_new.BindingDecoder",
• "torch.FloatStorage",
• "model_new.ScoreNet",
• "open_clip.model.CLIP",
• "open_clip.transformer.VisionTransformer",
• "model_new.FeatureWiseAffine",
• "fusion.convolution.convolution.ConvolutionBlock",
• "fusion.self_fusion.MatrixSelfFusion",
• "torch.nn.modules.linear.Identity",
• "open_clip.transformer.LayerNorm",
• "model_new.Backbone",
• "torch.nn.modules.dropout.Dropout",
• "GAT.MultiHeadAttention",
• "regex._regex.compile",
• "torch.nn.modules.container.Sequential",
• "fusion.utils.layer_norm.LayerNorm",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "open_clip.transformer.Transformer",
• "torch.nn.modules.activation.Sigmoid",
• "fusion.matrix.matrix.MatrixBlock",
• "torch.nn.modules.activation.GELU",
• "model_new.GAT",
• "model_new.OPT",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "fusion.fourier.fourier.FNetBlock",
• "model_new.MappingNet",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ReLU",
• "__builtin__.getattr",
• "open_clip.tokenizer.SimpleTokenizer",
• "fusion.fourier.fourier.FourierFFN",
• "torch.nn.modules.normalization.LayerNorm",
• "fusion.utils.model_cfgs.FusionConfigs",
• "model_new.Encoder",
• "intermediate_align.Refinement",
• "open_clip.transformer.ResidualAttentionBlock",
• "fusion.self_fusion.AttentionSelfFusion",
• "fusion.attention.fc.FC",
• "torch.nn.modules.activation.Softmax",
• "fusion.fourier.fc.FC",
• "_codecs.encode",
• "torch.nn.modules.conv.Conv2d",
• "fusion.attention.attention.AttentionFFN",
• "fusion.fourier.fc.MLP",
• "model_new.JointSemantic",
• "fusion.attention.attention.MHAtt",
• "fusion.attention.fc.MLP",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "__builtin__.set",
• "torch.nn.modules.sparse.Embedding",
• "fusion.self_fusion.ConvolutionSelfFusion",
• "open_clip.tokenizer._clean_lower",
• "torch.nn.modules.activation.MultiheadAttention",
• "GAT.GATLayer",
• "model_new.FactorNet",
• "torch.LongStorage",
• "torch._utils._rebuild_tensor_v2"

How to fix it?