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# PyTorch torch.compile Function * * PyTorch torch Reference Manual](#) `torch.compile` is a PyTorch function for compiling and optimizing models, which can significantly improve model execution performance. ### Function Definition torch.compile(model, *, mode="default", backend="inductor", fullgraph=False, dynamic=None, options=None, disable=False) * * * ## Usage Example ## Example import torch # Define a simple model class SimpleModel(torch.nn.Module): def __init__(self): super().__init__() self.linear = torch.nn.Linear(10, 10) def forward(self, x): return self.linear(x) model = SimpleModel() # Compile the model compiled_model = torch.compile(model) # Use the compiled model for inference x = torch.randn(1, 10) output = compiled_model(x) print(output.shape) * * PyTorch torch Reference Manual](#) AI Processing... [](#)(#) [PyTorch torch.nn Reference Manual](#)[](#) [ByteArk Coding Plan supports Doubao, GLM, DeepSeek, Kimi, MiniMax and other mainstream large models with official direct supply for stable reliability. Configuration Guide ¥9.9/month Immediate Activation](https://maas.xfyun.cn/modelSquare?ch=maas_lm_l2E)