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Change some description in readme
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README.md

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@@ -59,29 +59,19 @@ After executing, `graph_net.torch.test_compiler` will:
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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 (if no execution failure occurs).
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**Step 2: Generate JSON Record**
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**Step 2: Analysis**
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Extract runtime, correctness, and failure information from benchmark logs:
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```bash
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python -m graph_net.log2json \
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--log-file $GRAPH_NET_BENCHMARK_PATH/log.log \
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--output-dir $GRAPH_NET_BENCHMARK_PATH/JSON_results/
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```
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**Step 3: Analysis**
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Use the three scripts `graph_net.plot_St`, `graph_net.plot_ESt` and `graph_net.plot_violin` to generate St plot, ESt plot, and [violin plot](https://en.m.wikipedia.org/wiki/Violin_plot) based on the JSON results.
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Use the three scripts `graph_net.plot_St`, `graph_net.plot_ESt` and `graph_net.plot_violin` to generate St plot, ESt plot, and [violin plot](https://en.m.wikipedia.org/wiki/Violin_plot) based on speedup, correctness and runtime information from benchmark logs.
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```bash
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python -m graph_net.plot_St \
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--benchmark-path $GRAPH_NET_BENCHMARK_PATH/JSON_results/ \
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--benchmark-path $GRAPH_NET_BENCHMARK_PATH/log.log \
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--output-dir $GRAPH_NET_BENCHMARK_PATH \
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--negative-speedup-penalty penalty/power/for/negative/speedup \
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--fpdb base/penalty/for/severe/errors
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python -m graph_net.plot_ESt \
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--benchmark-path $GRAPH_NET_BENCHMARK_PATH/JSON_results/ \
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--benchmark-path $GRAPH_NET_BENCHMARK_PATH/log.log \
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--output-dir $GRAPH_NET_BENCHMARK_PATH \
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--negative-speedup-penalty penalty/power/for/negative/speedup \
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--fpdb base/penalty/for/severe/errors

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