The TorchCompileModel node applies PyTorch compilation to a model to optimize its performance. It creates a copy of the input model and wraps it with PyTorch's compilation functionality using the specified backend. This can improve the model's execution speed during inference.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `model` | The model to be compiled and optimized | MODEL | Yes | - |
| `backend` | The PyTorch compilation backend to use for optimization (default: "inductor") | STRING | Yes | "inductor"<br>"cudagraphs" |

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `model` | The compiled model with PyTorch compilation applied | MODEL |

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