Fix url in the code documentation (graph optimizations) (microsoft#16770

) ### Description Fix a wrong url in the documentation as mentioned in issue microsoft#16678. ### Motivation and Context Better documentation.
nod-ai · Jul 20, 2023 · 2bc9fbb · 2bc9fbb
1 parent c314d77
commit 2bc9fbb
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Showing 4 changed files with 4 additions and 4 deletions.
diff --git a/include/onnxruntime/core/session/onnxruntime_c_api.h b/include/onnxruntime/core/session/onnxruntime_c_api.h
@@ -987,7 +987,7 @@ struct OrtApi {
 
   /** \brief Set the optimization level to apply when loading a graph
    *
-   * Please see https://onnxruntime.ai/docs/performance/graph-optimizations.html for an in-depth explanation
+   * Please see https://onnxruntime.ai/docs/performance/model-optimizations/graph-optimizations.html for an in-depth explanation
    * \param[in,out] options The session options object
    * \param[in] graph_optimization_level The optimization level
    *

diff --git a/objectivec/include/ort_enums.h b/objectivec/include/ort_enums.h
@@ -43,7 +43,7 @@ typedef NS_ENUM(int32_t, ORTTensorElementDataType) {
 /**
  * The ORT graph optimization levels.
  * See here for more details:
- * https://onnxruntime.ai/docs/performance/graph-optimizations.html
+ * https://onnxruntime.ai/docs/performance/model-optimizations/graph-optimizations.html
  */
 typedef NS_ENUM(int32_t, ORTGraphOptimizationLevel) {
   ORTGraphOptimizationLevelNone,

diff --git a/onnxruntime/python/tools/transformers/optimizer.py b/onnxruntime/python/tools/transformers/optimizer.py
@@ -207,7 +207,7 @@ def optimize_model(
 ):
     """Optimize Model by OnnxRuntime and/or python fusion logic.
 
-    ONNX Runtime has graph optimizations (https://onnxruntime.ai/docs/performance/graph-optimizations.html).
+    ONNX Runtime has graph optimizations (https://onnxruntime.ai/docs/performance/model-optimizations/graph-optimizations.html).
     However, the coverage is limited. We also have graph fusions that implemented in Python to improve the coverage.
     They can combined: ONNX Runtime will run first when opt_level > 0, then graph fusions in Python will be applied.
 

diff --git a/tools/python/util/optimize_onnx_model.py b/tools/python/util/optimize_onnx_model.py
@@ -14,7 +14,7 @@ def optimize_model_helper():
         f"{os.path.basename(__file__)}:{optimize_model_helper.__name__}",
         description="""
                                      Optimize an ONNX model using ONNX Runtime to the specified level.
-                                     See https://onnxruntime.ai/docs/performance/graph-optimizations.html for more
+                                     See https://onnxruntime.ai/docs/performance/model-optimizations/graph-optimizations.html for more
                                      details of the optimization levels.""",
     )