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MoTIF

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• "utils.motif.DiagQKVd",
• "torch.nn.modules.dropout.Dropout",
• "utils.motif.PerChannelTemporalBlock",
• "utils.motif.CBMTransformer",
• "collections.OrderedDict",
• "numpy._core.multiarray._reconstruct",
• "torch.nn.modules.conv.Conv1d",
• "torch._utils._rebuild_parameter",
• "utils.motif.PerConceptAffine",
• "torch.storage._load_from_bytes",
• "utils.video_embedder.Create_Concepts",
• "torch.nn.modules.container.ModuleList",
• "numpy.ndarray",
• "numpy.dtype",
• "torch._utils._rebuild_tensor_v2",
• "torch.device",
• "utils.motif.PositionalEncoding",
• "sklearn.preprocessing._label.LabelEncoder",
• "torch.nn.modules.normalization.LayerNorm",
• "utils.motif.PerChannelFFN",
• "utils.motif.MoTIF",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.linear.Linear",
• "utils.motif.ChannelTimeNorm"

How to fix it?

• "utils.motif.DiagQKVd",
• "torch.nn.modules.dropout.Dropout",
• "utils.motif.PerChannelTemporalBlock",
• "utils.motif.CBMTransformer",
• "collections.OrderedDict",
• "numpy._core.multiarray._reconstruct",
• "torch.nn.modules.conv.Conv1d",
• "torch._utils._rebuild_parameter",
• "utils.motif.PerConceptAffine",
• "torch.storage._load_from_bytes",
• "utils.video_embedder.Create_Concepts",
• "torch.nn.modules.container.ModuleList",
• "numpy.ndarray",
• "numpy.dtype",
• "torch._utils._rebuild_tensor_v2",
• "torch.device",
• "utils.motif.PositionalEncoding",
• "sklearn.preprocessing._label.LabelEncoder",
• "torch.nn.modules.normalization.LayerNorm",
• "utils.motif.PerChannelFFN",
• "utils.motif.MoTIF",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.linear.Linear",
• "utils.motif.ChannelTimeNorm"

How to fix it?