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Copy file name to clipboardExpand all lines: docs/source/torch/arch_overview.md
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@@ -37,7 +37,7 @@ The single-step flow of PyExecutor involves:
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The core component of `PyExecutor` is the `ModelEngine`, responsible for executing the model's forward pass efficiently on the GPU.
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The key method of `ModelEngine` is `forward`, which handles the forward pass computation.
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For the PyTorch backend, the derived class is `PyTorchModelEngine`, declared in [pytorch_model_engine.py](../../../tensorrt_llm/_torch/pyexecutor/pytorch_model_engine.py).
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For the PyTorch backend, the derived class is `PyTorchModelEngine`, declared in [model_engine.py](../../../tensorrt_llm/_torch/pyexecutor/model_engine.py).
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