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@@ -119,7 +119,7 @@ python3 graph_net/analysis.py \
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After executing, one summary plot of results on all compilers (as shown below in "Evaluation Results Example"), as well as multiple sub-plots of results in categories (model tasks, Library...) on a single compiler.
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The script was designed to process a file structure as /benchmark_path/compiler_name/category_name/, for example /benchmark_logs/paddle/nlp/. And items on x-axis are identified by name of the folders. So you can modify ```read_all_speedups``` function to fit the benchmark settings on your demand.
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The script is designed to process a file structure as ```/benchmark_path/compiler_name/category_name/``` (for example ```/benchmark_logs/paddle/nlp/```), and items on x-axis are identified by name of the folders. So you can modify ```read_all_speedups``` function to fit the benchmark settings on your demand.
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### Evaluation Results Example
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