Avatarr05

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Multi-trait_SSL

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• "torch.nn.utils.spectral_norm.SpectralNormStateDictHook",
• "torch.nn.utils.spectral_norm.SpectralNormLoadStateDictPreHook",
• "torch.LongStorage",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.conv.Conv1d",
• "GAN.Gan_models.Discriminator",
• "torch.nn.utils.spectral_norm.SpectralNorm",
• "torch.nn.modules.flatten.Flatten",
• "__builtin__.set",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.nn.modules.activation.LeakyReLU",
• "collections.OrderedDict"

How to fix it?

• "torch.nn.modules.linear.Linear",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter",
• "GAN.Gan_models.Generator",
• "__builtin__.set",
• "torch._utils._rebuild_tensor_v2",
• "GAN.Gan_models.ConvBlock",
• "torch.FloatStorage",
• "GAN.Gan_models.WeightNormalizationConv1D",
• "torch.nn.modules.conv.ConvTranspose1d",
• "GAN.Gan_models.ResidualStack",
• "torch.nn.modules.conv.Conv1d",
• "torch.nn.utils.weight_norm.WeightNorm"

How to fix it?

• "numpy.ndarray",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy.core.multiarray._reconstruct",
• "numpy.dtype",
• "sklearn.preprocessing._data.PowerTransformer"

How to fix it?