Update one more doc

microsoft · Aug 19, 2019 · cd0f20d · cd0f20d
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diff --git a/docs/ONNX_Runtime_Perf_Tuning.md b/docs/ONNX_Runtime_Perf_Tuning.md
@@ -72,7 +72,7 @@ sess_options.set_graph_optimization_level(2)
 ```
 * sess_options.session_thread_pool_size=2 controls how many thread do you want to use to run your model
 * sess_options.enable_sequential_execution=True controls whether you want to run operators in your graph sequentially or in parallel. Usually when your model has many branches, set this option to false will give you better performance.
-* sess_options.set_graph_optimization_level(2). There are three levels, 0 means disable optimization, 1 means enable optimizations before graph partition, 2 means enable all optimization. 
+* sess_options.set_graph_optimization_level(2). Please see onnxruntime_c_api.h (enum GraphOptimizationLevel) for the full list of all optimization levels.
 
 ### MKL_DNN/nGraph/MKL_ML Execution Provider
 MKL_DNN, MKL_ML and nGraph all depends on openmp for parallization. For those execution providers, we need to use openmp enviroment variable to tune the performance.

diff --git a/onnxruntime/test/perftest/command_args_parser.cc b/onnxruntime/test/perftest/command_args_parser.cc
@@ -42,12 +42,7 @@ namespace perftest {
       "\t-v: Show verbose information.\n"
       "\t-x [thread_size]: Session thread pool size.\n"
       "\t-P: Use parallel executor instead of sequential executor.\n"
-      "\t-o [optimization level]:\n"
-      "\t\t0: disable optimization\n"
-      "\t\t1: basic optimization\n"
-      "\t\t2: extended optimization\n"
-      "\t\t99: extended+layout optimization.\n"
-      "\t\tPlease see onnxruntime_c_api.h for the complete set of values. \n"
+      "\t-o [optimization level]: Please see onnxruntime_c_api.h (enum GraphOptimizationLevel) for the full list of all optimization levels. \n"
       "\t-h: help\n");
 }