torch.jit

Creator
Creator
Seonglae Cho
Created
Created
2025 Mar 19 16:41
Editor
Edited
Edited
2025 Apr 27 17:38
Refs
Computational Graph
is extracted using
LibTorch
, so it's not as fast as
torch.compile()
. However, it's simpler to use and offers better compatibility.
  • Speed Optimization with Graph Optimization
  • Easier Deployment without python
  • Debugging and Analysis with Computational Graph Visualization
import torch import torch.nn as nn class Model(nn.Module): def __init__(self): super().__init__() self.fc = nn.Linear(10, 1) def forward(self, x): return self.fc(x) model = Model() scripted_model = torch.jit.script(model) scripted_model.save("model.pt")
torch.jit members
 
 
 
 
 
 
 
 

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