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.functional.relu",
• "models.architectures.pace.MultiHeadAttention",
• "models.architectures.pace.TransformerDecoder",
• "torch.nn.modules.container.Sequential",
• "models.architectures.pace.TransformerEncoder",
• "torch._utils._rebuild_parameter",
• "torch.device",
• "models.architectures.spec_encoder.Spec_Encoder",
• "__builtin__.set",
• "torch.nn.modules.activation.Sigmoid",
• "models.architectures.pace.GNNposEncoding",
• "torch.nn.modules.activation.Tanh",
• "torch.nn.modules.dropout.Dropout",
• "models.modeltype.cktgen.CKTGEN",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.container.ModuleList",
• "models.architectures.pace.PACE",
• "models.tools.losses.InfoNCE_with_filtering",
• "models.tools.losses.KLLoss",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.LogSoftmax",
• "torch.nn.modules.loss.SmoothL1Loss",
• "collections.OrderedDict",
• "models.architectures.pace.TransformerEncoder_layer",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.sparse.Embedding",
• "models.architectures.pace.TransformerDecoder_layer"

How to fix it?

• "torch.nn.modules.linear.Linear",
• "models.tools.losses.KLLoss",
• "models.architectures.pace.PACE",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.sparse.Embedding",
• "models.architectures.pace.TransformerEncoder",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.activation.Tanh",
• "models.architectures.pace.MultiHeadAttention",
• "torch.nn.modules.loss.SmoothL1Loss",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "models.architectures.pace.GNNposEncoding",
• "torch._utils._rebuild_tensor_v2",
• "models.architectures.pace.TransformerDecoder",
• "collections.OrderedDict",
• "models.architectures.pace.TransformerEncoder_layer",
• "torch.nn.modules.activation.Sigmoid",
• "torch._utils._rebuild_parameter",
• "torch.device",
• "torch.nn.functional.relu",
• "models.architectures.pace.TransformerDecoder_layer",
• "models.modeltype.cktgen.CKTGEN",
• "models.tools.losses.InfoNCE_with_filtering",
• "torch.nn.modules.activation.LogSoftmax",
• "torch.FloatStorage",
• "__builtin__.set",
• "models.architectures.spec_encoder.Spec_Encoder"

How to fix it?

• "torch.nn.modules.activation.LogSoftmax",
• "torch.device",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.Tanh",
• "models.architectures.pace.PACE",
• "models.tools.losses.InfoNCE_with_filtering",
• "torch.nn.modules.loss.SmoothL1Loss",
• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "torch.nn.modules.activation.ReLU",
• "models.modeltype.spec2ckt.SPEC2CKT",
• "models.architectures.pace.MultiHeadAttention",
• "torch.FloatStorage",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.nn.modules.dropout.Dropout",
• "models.architectures.pace.GNNposEncoding",
• "torch.nn.functional.relu",
• "models.architectures.pace.TransformerDecoder",
• "models.tools.losses.KLLoss",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.container.Sequential",
• "models.architectures.pace.TransformerEncoder_layer",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "models.architectures.pace.TransformerEncoder",
• "torch.nn.modules.linear.Linear",
• "models.architectures.pace.TransformerDecoder_layer",
• "torch.nn.modules.normalization.LayerNorm"

How to fix it?

• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.LogSoftmax",
• "torch.FloatStorage",
• "torch.nn.modules.normalization.LayerNorm",
• "collections.OrderedDict",
• "models.architectures.pace.PACE",
• "models.architectures.pace.TransformerEncoder",
• "torch._utils._rebuild_parameter",
• "models.architectures.pace.TransformerEncoder_layer",
• "torch.device",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.functional.relu",
• "models.architectures.pace.MultiHeadAttention",
• "models.modeltype.vae.VAE",
• "__builtin__.set",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.activation.Tanh",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.linear.Linear",
• "models.architectures.pace.TransformerDecoder_layer",
• "models.architectures.pace.TransformerDecoder",
• "torch.nn.modules.dropout.Dropout",
• "models.architectures.pace.GNNposEncoding"

How to fix it?