astroshawn

/

SpecCLIP

like 0

• "specclip.models.specformer_control.SpecFormerControl20_wstd",
• "torch.device",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.MultiheadAttention",
• "specclip.models.specformer_control.MLPBlock",
• "lightning.pytorch.utilities.parsing.AttributeDict",
• "specclip.models.specclip.LamostLRSHead",
• "__builtin__.set",
• "specclip.modules.CrossAttentionHead",
• "torch.nn.modules.module._WrappedHook",
• "torch.nn.modules.sparse.Embedding",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "specclip.modules.TransformerBlock",
• "torch.FloatStorage",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.linear.Linear",
• "torch.float32",
• "specclip.modules.MLP",
• "torch.nn.modules.container.ModuleList",
• "specclip.models.specclip_mlp.GaiaXPHeadWithMLP",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "specclip.modules.FlexibleAttention",
• "torch.distributed._shard.sharded_tensor.state_dict_hook",
• "torch.distributed._shard.sharded_tensor.pre_load_state_dict_hook",
• "specclip.models.specformer_control.SpectralMLPAutoencoder_xp",
• "torch.nn.modules.activation.GELU",
• "specclip.modules.LayerNorm"

How to fix it?

• "specclip.modules.LayerNorm",
• "torch.device",
• "specclip.models.specclip_reconstruct_embed768_mlp.GaiaXPHeadWithMLP",
• "specclip.models.specformer_control.SpectralMLPAutoencoder_xp",
• "collections.OrderedDict",
• "specclip.models.specformer_control.MLPBlock",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.linear.Linear",
• "specclip.modules.CrossAttentionHead",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.LongStorage",
• "specclip.models.specformer_control.SpecFormerControl20_wstd",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.float32",
• "specclip.modules.MLP",
• "torch.FloatStorage",
• "torch.nn.modules.module._WrappedHook",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.sparse.Embedding",
• "torch.distributed._shard.sharded_tensor.pre_load_state_dict_hook",
• "specclip.models.specclip_reconstruct_embed768_mlp.LamostLRSHead",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.dropout.Dropout",
• "specclip.modules.TransformerBlock",
• "torch.distributed._shard.sharded_tensor.state_dict_hook",
• "lightning.pytorch.utilities.parsing.AttributeDict",
• "__builtin__.set",
• "specclip.modules.FlexibleAttention"

How to fix it?

• "torch.distributed._shard.sharded_tensor.state_dict_hook",
• "specclip.modules.MLP",
• "specclip.modules.FlexibleAttention",
• "specclip.modules.LayerNorm",
• "torch.nn.modules.activation.GELU",
• "torch.FloatStorage",
• "torch.LongStorage",
• "__builtin__.set",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "specclip.models.specformer_control.MLPBlock",
• "specclip.models.specclip_reconstruct_split_5122562_mlp_recordloss.LamostLRSHead_split",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.activation.MultiheadAttention",
• "specclip.modules.TransformerBlock",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "specclip.modules.CrossAttentionHead",
• "torch.distributed._shard.sharded_tensor.pre_load_state_dict_hook",
• "torch.nn.modules.sparse.Embedding",
• "torch.nn.modules.container.Sequential",
• "specclip.models.specformer_control.SpecFormerControl20_wstd",
• "torch._utils._rebuild_tensor_v2",
• "torch.device",
• "specclip.models.specclip_reconstruct_split_5122562_mlp_recordloss.GaiaXPHead_split",
• "torch.nn.modules.module._WrappedHook",
• "collections.OrderedDict",
• "torch.float32",
• "torch.nn.modules.dropout.Dropout",
• "lightning.pytorch.utilities.parsing.AttributeDict",
• "specclip.models.specformer_control.SpectralMLPAutoencoder_xp"

How to fix it?