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Update README.md
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README.md

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@@ -95,7 +95,7 @@ python -m graph_net.torch.test_compiler \
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After executing, ```graph_net.torch.test_compiler``` will:
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1. Running the original model in eager mode to record a baseline.
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2. Compiling the model with the specified backend (e.g., CINN, TorchInductor, TVM).
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2. Compiling the model with the specified backend (e.g., CINN, TVM, Inductor, TensorRT, XLA, BladeDISC).
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3. Executing the compiled model and collecting its runtime and outputs.
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4. Conduct speedup by comparing the compiled results against the baseline.
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