Yuxuan-Hou

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CktGen

like 0

• "torch.storage._load_from_bytes",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict"

How to fix it?

• "collections.OrderedDict",
• "torch.storage._load_from_bytes",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "torch.nn.modules.normalization.LayerNorm",
• "models.architectures.ckt_decoder.Ckt_TransDecoder",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.transformer.TransformerEncoderLayer",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.Linear",
• "models.architectures.cktarchi.CKTARCHI",
• "torch.nn.modules.loss.SmoothL1Loss",
• "models.architectures.ckt_encoder.Ckt_TransEncoder",
• "models.architectures.ckt_decoder.Block",
• "torch.nn.modules.activation.GELU",
• "torch.device",
• "torch.nn.modules.sparse.Embedding",
• "models.modeltype.cktgen.CKTGEN",
• "models.tools.losses.InfoNCE_with_filtering",
• "models.architectures.tools.gin.GIN",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "models.tools.losses.KLLoss",
• "torch.nn.modules.activation.Softplus",
• "torch._utils._rebuild_parameter",
• "models.architectures.ckt_encoder.PositionEmbedding",
• "torch.nn.modules.transformer.TransformerEncoder",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.container.ModuleList",
• "__builtin__.set",
• "models.architectures.ckt_decoder.TransGPT_Cross",
• "torch.nn.modules.activation.ReLU",
• "models.architectures.ckt_decoder.CausalSelfAttention",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.FloatStorage",
• "torch._C._nn.gelu",
• "models.architectures.spec_encoder.Spec_Encoder"

How to fix it?

• "models.architectures.ckt_decoder.TransGPT_Cross",
• "torch.nn.modules.container.ModuleList",
• "models.architectures.ckt_decoder.Ckt_TransDecoder",
• "torch._utils._rebuild_tensor_v2",
• "models.architectures.ckt_encoder.PositionEmbedding",
• "torch._utils._rebuild_parameter",
• "models.architectures.ckt_decoder.CausalSelfAttention",
• "torch.nn.modules.transformer.TransformerEncoder",
• "torch.nn.modules.sparse.Embedding",
• "torch.nn.modules.loss.SmoothL1Loss",
• "models.tools.losses.InfoNCE_with_filtering",
• "torch.nn.modules.activation.GELU",
• "models.architectures.ckt_decoder.Block",
• "torch.nn.modules.activation.ReLU",
• "models.modeltype.cktgen.CKTGEN",
• "models.architectures.cktarchi.CKTARCHI",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch._C._nn.gelu",
• "models.tools.losses.KLLoss",
• "collections.OrderedDict",
• "torch.nn.modules.activation.Softplus",
• "torch.nn.modules.container.Sequential",
• "models.architectures.spec_encoder.Spec_Encoder",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.FloatStorage",
• "models.architectures.tools.gin.GIN",
• "torch.device",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.transformer.TransformerEncoderLayer",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.nn.modules.linear.Linear",
• "__builtin__.set",
• "models.architectures.ckt_encoder.Ckt_TransEncoder"

How to fix it?

• "torch.nn.modules.normalization.LayerNorm",
• "models.architectures.ckt_decoder.Ckt_TransDecoder",
• "models.architectures.ckt_encoder.PositionEmbedding",
• "models.architectures.ckt_decoder.CausalSelfAttention",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.transformer.TransformerEncoder",
• "torch._utils._rebuild_tensor_v2",
• "models.architectures.cktarchi.CKTARCHI",
• "models.architectures.ckt_encoder.Ckt_TransEncoder",
• "torch._C._nn.gelu",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.transformer.TransformerEncoderLayer",
• "torch.device",
• "torch.FloatStorage",
• "models.modeltype.vae.VAE",
• "models.architectures.ckt_decoder.TransGPT_Cross",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.sparse.Embedding",
• "models.architectures.ckt_decoder.Block",
• "torch.nn.modules.activation.ReLU",
• "models.architectures.tools.gin.GIN",
• "torch.nn.modules.activation.Softplus",
• "__builtin__.set"

How to fix it?

• "torch.nn.modules.normalization.LayerNorm",
• "models.architectures.ckt_decoder.Ckt_TransDecoder",
• "models.architectures.ckt_encoder.PositionEmbedding",
• "models.architectures.ckt_decoder.CausalSelfAttention",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.transformer.TransformerEncoder",
• "torch._utils._rebuild_tensor_v2",
• "models.architectures.cktarchi.CKTARCHI",
• "models.architectures.ckt_encoder.Ckt_TransEncoder",
• "torch._C._nn.gelu",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.transformer.TransformerEncoderLayer",
• "torch.device",
• "torch.FloatStorage",
• "models.modeltype.vae.VAE",
• "models.architectures.ckt_decoder.TransGPT_Cross",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.sparse.Embedding",
• "models.architectures.ckt_decoder.Block",
• "torch.nn.modules.activation.ReLU",
• "models.architectures.tools.gin.GIN",
• "torch.nn.modules.activation.Softplus",
• "__builtin__.set"

How to fix it?