ashwani

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cogmen-iemocap-4-way

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• "__builtin__.long",
• "cogmen.model.Classifier.MaskedEmotionAtt",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.linear.Identity",
• "torch.utils.hooks.RemovableHandle",
• "torch.nn.modules.loss.NLLLoss",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.transformer.TransformerEncoderLayer",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "inspect._empty",
• "torch.nn.modules.transformer.TransformerEncoder",
• "typing.Union",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.LongStorage",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "cogmen.model.Classifier.Classifier",
• "__builtin__.set",
• "torch_geometric.nn.dense.linear.Linear",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_parameter",
• "inspect.Parameter",
• "inspect._ParameterKind",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.linear.Linear",
• "cogmen.model.SeqContext.SeqContext",
• "argparse.Namespace",
• "torch.nn.modules.container.ModuleList",
• "__builtin__.type",
• "__builtin__.getattr",
• "torch_geometric.nn.conv.rgcn_conv.RGCNConv",
• "torch.Tensor",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "cogmen.model.COGMEN.COGMEN",
• "_operator.getitem",
• "cogmen.model.GNN.GNN",
• "collections.OrderedDict",
• "torch.nn.functional.relu",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch_geometric.nn.conv.transformer_conv.TransformerConv"

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