diff --git a/docs/Reduced_Operator_Kernel_build.md b/docs/Reduced_Operator_Kernel_build.md
index e25f7d0478e1d..65f9e78dad1c4 100644
--- a/docs/Reduced_Operator_Kernel_build.md
+++ b/docs/Reduced_Operator_Kernel_build.md
@@ -60,7 +60,7 @@ The opset can match either the opset import for each model, or the initial ONNX
 e.g. if a model imports opset 12 of ONNX, all ONNX operators in that model can be listed under opset 12 for the 'ai.onnx' domain.
 
 [Netron](https://netron.app/) can be used to view an ONNX model properties to discover the opset imports.
-Additionally, the ONNX operator specs for [DNN](https://github.com/onnx/onnx/blob/master/docs/Operators.md) and [traditional ML](https://github.com/onnx/onnx/blob/master/docs/Operators-ml.md) operators list the individual operator versions.
+Additionally, the ONNX operator specs for [DNN](https://github.com/onnx/onnx/blob/main/docs/Operators.md) and [traditional ML](https://github.com/onnx/onnx/blob/main/docs/Operators-ml.md) operators list the individual operator versions.
 
 ### Type reduction format
 
diff --git a/docs/Versioning.md b/docs/Versioning.md
index d471b9cfdf6f6..683030e928623 100644
--- a/docs/Versioning.md
+++ b/docs/Versioning.md
@@ -22,7 +22,7 @@ models that are stamped with ONNX opset versions in the range [7-9].
 ### Version matrix
 The [table](https://onnxruntime.ai/docs/reference/compatibility.html#onnx-opset-support) summarizes the relationship between the ONNX Runtime version and the ONNX opset version implemented in that release.
 Please note the backward compatibility notes above.
-For more details on ONNX Release versions, see [this page](https://github.com/onnx/onnx/blob/master/docs/Versioning.md).
+For more details on ONNX Release versions, see [this page](https://github.com/onnx/onnx/blob/main/docs/Versioning.md).
 
 ## Tool Compatibility
 A variety of tools can be used to create ONNX models. Unless otherwise noted, please use the latest released version of the tools to convert/export the ONNX model. Most tools are backwards compatible and support multiple ONNX versions. Join this with the table above to evaluate ONNX Runtime compatibility.
@@ -40,4 +40,3 @@ A variety of tools can be used to create ONNX models. Unless otherwise noted, pl
 |[Paddle2ONNX](https://pypi.org/project/paddle2onnx/)| [Latest stable](https://github.com/PaddlePaddle/Paddle2ONNX/releases) | 1.6-1.9 |
 |[AutoML](https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-automated-ml)|[1.0.39+](https://pypi.org/project/azureml-automl-core)|1.5|
 | |[1.0.33](https://pypi.org/project/azureml-automl-core/1.0.33/)|1.4|
-
diff --git a/docs/onnxruntime_extensions.md b/docs/onnxruntime_extensions.md
index 37ed45a0ae32f..c1f4249433dbd 100644
--- a/docs/onnxruntime_extensions.md
+++ b/docs/onnxruntime_extensions.md
@@ -79,7 +79,7 @@ e2e_graph = helper.make_graph(
 )
 # ...
 ```
-For more usage of ONNX helper, please visit the document [Python API Overview](https://github.com/onnx/onnx/blob/master/docs/PythonAPIOverview.md).
+For more usage of ONNX helper, please visit the document [Python API Overview](https://github.com/onnx/onnx/blob/main/docs/PythonAPIOverview.md).
 
 ### Run E2E Model in Python
 ```python
diff --git a/docs/python/inference/api_summary.rst b/docs/python/inference/api_summary.rst
index 12d17bafd3ee9..c6d1f4868e7b5 100644
--- a/docs/python/inference/api_summary.rst
+++ b/docs/python/inference/api_summary.rst
@@ -17,7 +17,7 @@ Load and run a model
 --------------------
 
 InferenceSession is the main class of ONNX Runtime. It is used to load and run an ONNX model,
-as well as specify environment and application configuration options. 
+as well as specify environment and application configuration options.
 
 .. code-block:: python
 
@@ -65,7 +65,7 @@ Data on CPU
 ^^^^^^^^^^^
 
 On CPU (the default), OrtValues can be mapped to and from native Python data structures: numpy arrays, dictionaries and lists of
-numpy arrays. 
+numpy arrays.
 
 .. code-block:: python
 
@@ -95,15 +95,15 @@ this called `IOBinding`.
 
 To use the `IOBinding` feature, replace `InferenceSession.run()` with `InferenceSession.run_with_iobinding()`.
 
-A graph is executed on a device other than CPU, for instance CUDA. Users can 
+A graph is executed on a device other than CPU, for instance CUDA. Users can
 use IOBinding to copy the data onto the GPU.
 
 .. code-block:: python
 
-	# X is numpy array on cpu 
+	# X is numpy array on cpu
 	session = onnxruntime.InferenceSession('model.onnx', providers=['CUDAExecutionProvider', 'CPUExecutionProvider']))
 	io_binding = session.io_binding()
-	# OnnxRuntime will copy the data over to the CUDA device if 'input' is consumed by nodes on the CUDA device 
+	# OnnxRuntime will copy the data over to the CUDA device if 'input' is consumed by nodes on the CUDA device
 	io_binding.bind_cpu_input('input', X)
 	io_binding.bind_output('output')
 	session.run_with_iobinding(io_binding)
@@ -122,7 +122,7 @@ The input data is on a device, users directly use the input. The output data is
 	session.run_with_iobinding(io_binding)
 	Y = io_binding.copy_outputs_to_cpu()[0]
 
-The input data and output data are both on a device, users directly use the input and also place output on the device.	
+The input data and output data are both on a device, users directly use the input and also place output on the device.
 
 .. code-block:: python
 
@@ -284,7 +284,7 @@ Backend
 
 In addition to the regular API which is optimized for performance and usability, 
 *ONNX Runtime* also implements the
-`ONNX backend API <https://github.com/onnx/onnx/blob/master/docs/ImplementingAnOnnxBackend.md>`_
+`ONNX backend API <https://github.com/onnx/onnx/blob/main/docs/ImplementingAnOnnxBackend.md>`_
 for verification of *ONNX* specification conformance.
 The following functions are supported:
 
diff --git a/docs/python/inference/examples/plot_backend.py b/docs/python/inference/examples/plot_backend.py
index b441012e637ae..ecfc17175d11b 100644
--- a/docs/python/inference/examples/plot_backend.py
+++ b/docs/python/inference/examples/plot_backend.py
@@ -8,8 +8,8 @@
 ONNX Runtime Backend for ONNX
 =============================
 
-*ONNX Runtime* extends the 
-`onnx backend API <https://github.com/onnx/onnx/blob/master/docs/ImplementingAnOnnxBackend.md>`_
+*ONNX Runtime* extends the
+`onnx backend API <https://github.com/onnx/onnx/blob/main/docs/ImplementingAnOnnxBackend.md>`_
 to run predictions using this runtime.
 Let's use the API to compute the prediction
 of a simple logistic regression model.
diff --git a/docs/python/inference/examples/plot_load_and_predict.py b/docs/python/inference/examples/plot_load_and_predict.py
index 44e343163a420..09d7c9cdb4c88 100644
--- a/docs/python/inference/examples/plot_load_and_predict.py
+++ b/docs/python/inference/examples/plot_load_and_predict.py
@@ -19,7 +19,7 @@
 
 #########################
 # Let's load a very simple model.
-# The model is available on github `onnx...test_sigmoid <https://github.com/onnx/onnx/tree/master/onnx/backend/test/data/node/test_sigmoid>`_.
+# The model is available on github `onnx...test_sigmoid <https://github.com/onnx/onnx/blob/main/onnx/backend/test/data/node/test_sigmoid>`_.
 
 example1 = get_example("sigmoid.onnx")
 sess = rt.InferenceSession(example1, providers=rt.get_available_providers())
diff --git a/docs/python/inference/examples/plot_pipeline.py b/docs/python/inference/examples/plot_pipeline.py
index 366aadee1c3ae..05dcbdb25b7a6 100644
--- a/docs/python/inference/examples/plot_pipeline.py
+++ b/docs/python/inference/examples/plot_pipeline.py
@@ -6,7 +6,7 @@
 ===============
 
 There is no other way to look into one model stored
-in ONNX format than looking into its node with 
+in ONNX format than looking into its node with
 *onnx*. This example demonstrates
 how to draw a model and to retrieve it in *json*
 format.
@@ -34,7 +34,7 @@
 #################################
 # Draw a model with ONNX
 # ++++++++++++++++++++++
-# We use `net_drawer.py <https://github.com/onnx/onnx/blob/master/onnx/tools/net_drawer.py>`_
+# We use `net_drawer.py <https://github.com/onnx/onnx/blob/main/onnx/tools/net_drawer.py>`_
 # included in *onnx* package.
 # We use *onnx* to load the model
 # in a different way than before.
diff --git a/java/src/test/java/ai/onnxruntime/OnnxMl.java b/java/src/test/java/ai/onnxruntime/OnnxMl.java
index eb2f0121a8b37..d96c6ccba6e31 100644
--- a/java/src/test/java/ai/onnxruntime/OnnxMl.java
+++ b/java/src/test/java/ai/onnxruntime/OnnxMl.java
@@ -24951,7 +24951,7 @@ public interface DimensionOrBuilder
        * Standard denotation can optionally be used to denote tensor
        * dimensions with standard semantic descriptions to ensure
        * that operations are applied to the correct axis of a tensor.
-       * Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
+       * Refer to https://github.com/onnx/onnx/blob/main/docs/DimensionDenotation.md#denotation-definition
        * for pre-defined dimension denotations.
        * </pre>
        *
@@ -24965,7 +24965,7 @@ public interface DimensionOrBuilder
        * Standard denotation can optionally be used to denote tensor
        * dimensions with standard semantic descriptions to ensure
        * that operations are applied to the correct axis of a tensor.
-       * Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
+       * Refer to https://github.com/onnx/onnx/blob/main/docs/DimensionDenotation.md#denotation-definition
        * for pre-defined dimension denotations.
        * </pre>
        *
@@ -25177,7 +25177,7 @@ public com.google.protobuf.ByteString getDimParamBytes() {
        * Standard denotation can optionally be used to denote tensor
        * dimensions with standard semantic descriptions to ensure
        * that operations are applied to the correct axis of a tensor.
-       * Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
+       * Refer to https://github.com/onnx/onnx/blob/main/docs/DimensionDenotation.md#denotation-definition
        * for pre-defined dimension denotations.
        * </pre>
        *
@@ -25201,7 +25201,7 @@ public java.lang.String getDenotation() {
        * Standard denotation can optionally be used to denote tensor
        * dimensions with standard semantic descriptions to ensure
        * that operations are applied to the correct axis of a tensor.
-       * Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
+       * Refer to https://github.com/onnx/onnx/blob/main/docs/DimensionDenotation.md#denotation-definition
        * for pre-defined dimension denotations.
        * </pre>
        *
@@ -25742,7 +25742,7 @@ public Builder setDimParamBytes(com.google.protobuf.ByteString value) {
          * Standard denotation can optionally be used to denote tensor
          * dimensions with standard semantic descriptions to ensure
          * that operations are applied to the correct axis of a tensor.
-         * Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
+         * Refer to https://github.com/onnx/onnx/blob/main/docs/DimensionDenotation.md#denotation-definition
          * for pre-defined dimension denotations.
          * </pre>
          *
@@ -25766,7 +25766,7 @@ public java.lang.String getDenotation() {
          * Standard denotation can optionally be used to denote tensor
          * dimensions with standard semantic descriptions to ensure
          * that operations are applied to the correct axis of a tensor.
-         * Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
+         * Refer to https://github.com/onnx/onnx/blob/main/docs/DimensionDenotation.md#denotation-definition
          * for pre-defined dimension denotations.
          * </pre>
          *
@@ -25790,7 +25790,7 @@ public com.google.protobuf.ByteString getDenotationBytes() {
          * Standard denotation can optionally be used to denote tensor
          * dimensions with standard semantic descriptions to ensure
          * that operations are applied to the correct axis of a tensor.
-         * Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
+         * Refer to https://github.com/onnx/onnx/blob/main/docs/DimensionDenotation.md#denotation-definition
          * for pre-defined dimension denotations.
          * </pre>
          *
@@ -25812,7 +25812,7 @@ public Builder setDenotation(java.lang.String value) {
          * Standard denotation can optionally be used to denote tensor
          * dimensions with standard semantic descriptions to ensure
          * that operations are applied to the correct axis of a tensor.
-         * Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
+         * Refer to https://github.com/onnx/onnx/blob/main/docs/DimensionDenotation.md#denotation-definition
          * for pre-defined dimension denotations.
          * </pre>
          *
@@ -25831,7 +25831,7 @@ public Builder clearDenotation() {
          * Standard denotation can optionally be used to denote tensor
          * dimensions with standard semantic descriptions to ensure
          * that operations are applied to the correct axis of a tensor.
-         * Refer to https://github.com/onnx/onnx/blob/master/docs/DimensionDenotation.md#denotation-definition
+         * Refer to https://github.com/onnx/onnx/blob/main/docs/DimensionDenotation.md#denotation-definition
          * for pre-defined dimension denotations.
          * </pre>
          *
@@ -26657,7 +26657,7 @@ public interface TypeProtoOrBuilder
      * <pre>
      * An optional denotation can be used to denote the whole
      * type with a standard semantic description as to what is
-     * stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
+     * stored inside. Refer to https://github.com/onnx/onnx/blob/main/docs/TypeDenotation.md#type-denotation-definition
      * for pre-defined type denotations.
      * </pre>
      *
@@ -26670,7 +26670,7 @@ public interface TypeProtoOrBuilder
      * <pre>
      * An optional denotation can be used to denote the whole
      * type with a standard semantic description as to what is
-     * stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
+     * stored inside. Refer to https://github.com/onnx/onnx/blob/main/docs/TypeDenotation.md#type-denotation-definition
      * for pre-defined type denotations.
      * </pre>
      *
@@ -30755,7 +30755,7 @@ public OnnxMl.TypeProto.OpaqueOrBuilder getOpaqueTypeOrBuilder() {
      * <pre>
      * An optional denotation can be used to denote the whole
      * type with a standard semantic description as to what is
-     * stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
+     * stored inside. Refer to https://github.com/onnx/onnx/blob/main/docs/TypeDenotation.md#type-denotation-definition
      * for pre-defined type denotations.
      * </pre>
      *
@@ -30778,7 +30778,7 @@ public java.lang.String getDenotation() {
      * <pre>
      * An optional denotation can be used to denote the whole
      * type with a standard semantic description as to what is
-     * stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
+     * stored inside. Refer to https://github.com/onnx/onnx/blob/main/docs/TypeDenotation.md#type-denotation-definition
      * for pre-defined type denotations.
      * </pre>
      *
@@ -32122,7 +32122,7 @@ public OnnxMl.TypeProto.OpaqueOrBuilder getOpaqueTypeOrBuilder() {
        * <pre>
        * An optional denotation can be used to denote the whole
        * type with a standard semantic description as to what is
-       * stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
+       * stored inside. Refer to https://github.com/onnx/onnx/blob/main/docs/TypeDenotation.md#type-denotation-definition
        * for pre-defined type denotations.
        * </pre>
        *
@@ -32145,7 +32145,7 @@ public java.lang.String getDenotation() {
        * <pre>
        * An optional denotation can be used to denote the whole
        * type with a standard semantic description as to what is
-       * stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
+       * stored inside. Refer to https://github.com/onnx/onnx/blob/main/docs/TypeDenotation.md#type-denotation-definition
        * for pre-defined type denotations.
        * </pre>
        *
@@ -32168,7 +32168,7 @@ public com.google.protobuf.ByteString getDenotationBytes() {
        * <pre>
        * An optional denotation can be used to denote the whole
        * type with a standard semantic description as to what is
-       * stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
+       * stored inside. Refer to https://github.com/onnx/onnx/blob/main/docs/TypeDenotation.md#type-denotation-definition
        * for pre-defined type denotations.
        * </pre>
        *
@@ -32189,7 +32189,7 @@ public Builder setDenotation(java.lang.String value) {
        * <pre>
        * An optional denotation can be used to denote the whole
        * type with a standard semantic description as to what is
-       * stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
+       * stored inside. Refer to https://github.com/onnx/onnx/blob/main/docs/TypeDenotation.md#type-denotation-definition
        * for pre-defined type denotations.
        * </pre>
        *
@@ -32207,7 +32207,7 @@ public Builder clearDenotation() {
        * <pre>
        * An optional denotation can be used to denote the whole
        * type with a standard semantic description as to what is
-       * stored inside. Refer to https://github.com/onnx/onnx/blob/master/docs/TypeDenotation.md#type-denotation-definition
+       * stored inside. Refer to https://github.com/onnx/onnx/blob/main/docs/TypeDenotation.md#type-denotation-definition
        * for pre-defined type denotations.
        * </pre>
        *
diff --git a/js/web/README.md b/js/web/README.md
index f36c54dccefdb..9ab9a7dac76aa 100644
--- a/js/web/README.md
+++ b/js/web/README.md
@@ -46,11 +46,11 @@ Refer to the following links for development information:
 
 #### WebAssembly backend
 
-ONNX Runtime Web currently support all operators in [ai.onnx](https://github.com/onnx/onnx/blob/master/docs/Operators.md) and [ai.onnx.ml](https://github.com/onnx/onnx/blob/master/docs/Operators-ml.md).
+ONNX Runtime Web currently support all operators in [ai.onnx](https://github.com/onnx/onnx/blob/main/docs/Operators.md) and [ai.onnx.ml](https://github.com/onnx/onnx/blob/main/docs/Operators-ml.md).
 
 #### WebGL backend
 
-ONNX Runtime Web currently supports a subset of operators in [ai.onnx](https://github.com/onnx/onnx/blob/master/docs/Operators.md) operator set. See [operators.md](./docs/operators.md) for a complete, detailed list of which ONNX operators are supported by WebGL backend.
+ONNX Runtime Web currently supports a subset of operators in [ai.onnx](https://github.com/onnx/onnx/blob/main/docs/Operators.md) operator set. See [operators.md](./docs/operators.md) for a complete, detailed list of which ONNX operators are supported by WebGL backend.
 
 ## License
 
diff --git a/js/web/docs/operators.md b/js/web/docs/operators.md
index ab425c3df8960..96798f0453cec 100644
--- a/js/web/docs/operators.md
+++ b/js/web/docs/operators.md
@@ -1,6 +1,6 @@
 ## Operators Support Table
 
-The following table shows [ai.onnx](https://github.com/onnx/onnx/blob/master/docs/Operators.md)  operators from which onnx opset version are currently supported by ONNX Runtime Web. For example, `4-6, 8+` means  ONNX Runtime Web currently support opset version 4 to 6, 8 and above.
+The following table shows [ai.onnx](https://github.com/onnx/onnx/blob/main/docs/Operators.md)  operators from which onnx opset version are currently supported by ONNX Runtime Web. For example, `4-6, 8+` means  ONNX Runtime Web currently support opset version 4 to 6, 8 and above.
 
 See [Compatibility](../README.md#Compatibility) for a list of the supported platforms.
 
@@ -8,181 +8,181 @@ See [Compatibility](../README.md#Compatibility) for a list of the supported plat
 
 | Operator | WebGl Backend |
 |:--------:|:-------------:|
-| [Abs](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Abs) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Abs-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Abs-13) |
-| [Acos](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Acos) | [7+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Acos-7) |
-| [Acosh](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Acosh) |  |
-| [Add](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Add) | [7-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Add-7), [13](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Add-13), [14+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Add-14) |
-| [And](https://github.com/onnx/onnx/blob/master/docs/Operators.md#And) | [7+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#And-7) |
-| [ArgMax](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ArgMax) |  |
-| [ArgMin](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ArgMin) |  |
-| [Asin](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Asin) | [7+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Asin-7) |
-| [Asinh](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Asinh) |  |
-| [Atan](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Atan) | [7+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Atan-7) |
-| [Atanh](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Atanh) |  |
-| [AveragePool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#AveragePool) | [7-9](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#AveragePool-7), [10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#AveragePool-10), [11+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#AveragePool-11) |
-| [BatchNormalization](https://github.com/onnx/onnx/blob/master/docs/Operators.md#BatchNormalization) | [7-8](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#BatchNormalization-7), [9-13](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#BatchNormalization-9), [14](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#BatchNormalization-14), [15+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#BatchNormalization-15) |
-| [Bernoulli](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Bernoulli) |  |
-| [BitShift](https://github.com/onnx/onnx/blob/master/docs/Operators.md#BitShift) |  |
-| [BlackmanWindow](https://github.com/onnx/onnx/blob/master/docs/Operators.md#BlackmanWindow) |  |
-| [Cast](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Cast) | [6-8](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Cast-6), [9-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Cast-9), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Cast-13) |
-| [CastLike](https://github.com/onnx/onnx/blob/master/docs/Operators.md#CastLike) |  |
-| [Ceil](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Ceil) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Ceil-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Ceil-13) |
-| [Celu](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Celu) |  |
-| [Clip](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Clip) | [6-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Clip-6), [11](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Clip-11), [12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Clip-12), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Clip-13) |
-| [Compress](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Compress) |  |
-| [Concat](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Concat) | [4-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Concat-4), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Concat-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Concat-13) |
-| [ConcatFromSequence](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ConcatFromSequence) |  |
-| [Constant](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Constant) |  |
-| [ConstantOfShape](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ConstantOfShape) |  |
-| [Conv](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Conv) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Conv-1), [11+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Conv-11) |
-| [ConvInteger](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ConvInteger) |  |
-| [ConvTranspose](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ConvTranspose) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ConvTranspose-1), [11+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ConvTranspose-11) |
-| [Cos](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Cos) | [7+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Cos-7) |
-| [Cosh](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Cosh) |  |
-| [CumSum](https://github.com/onnx/onnx/blob/master/docs/Operators.md#CumSum) |  |
-| [DFT](https://github.com/onnx/onnx/blob/master/docs/Operators.md#DFT) |  |
-| [DepthToSpace](https://github.com/onnx/onnx/blob/master/docs/Operators.md#DepthToSpace) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#DepthToSpace-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#DepthToSpace-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#DepthToSpace-13) |
-| [DequantizeLinear](https://github.com/onnx/onnx/blob/master/docs/Operators.md#DequantizeLinear) |  |
-| [Det](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Det) |  |
-| [Div](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Div) | [7-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Div-7), [13](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Div-13), [14+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Div-14) |
-| [Dropout](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Dropout) | [7-9](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Dropout-7), [10-11](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Dropout-10), [12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Dropout-12), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Dropout-13) |
-| [DynamicQuantizeLinear](https://github.com/onnx/onnx/blob/master/docs/Operators.md#DynamicQuantizeLinear) |  |
-| [Einsum](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Einsum) |  |
-| [Elu](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Elu) | [6+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Elu-6) |
-| [Equal](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Equal) | [7-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Equal-7), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Equal-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Equal-13) |
-| [Erf](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Erf) |  |
-| [Exp](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Exp) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Exp-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Exp-13) |
-| [Expand](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Expand) |  |
-| [EyeLike](https://github.com/onnx/onnx/blob/master/docs/Operators.md#EyeLike) |  |
-| [Flatten](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Flatten) | [1-8](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Flatten-1), [9-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Flatten-9), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Flatten-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Flatten-13) |
-| [Floor](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Floor) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Floor-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Floor-13) |
-| [GRU](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GRU) |  |
-| [Gather](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gather) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Gather-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Gather-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Gather-13) |
-| [GatherElements](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GatherElements) |  |
-| [GatherND](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GatherND) |  |
-| [Gemm](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gemm) | [7-8](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Gemm-7), [9-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Gemm-9), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Gemm-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Gemm-13) |
-| [GlobalAveragePool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GlobalAveragePool) | [1+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#GlobalAveragePool-1) |
-| [GlobalLpPool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GlobalLpPool) |  |
-| [GlobalMaxPool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GlobalMaxPool) | [1+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#GlobalMaxPool-1) |
-| [Greater](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Greater) | [7-8](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Greater-7), [9-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Greater-9), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Greater-13) |
-| [GreaterOrEqual](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GreaterOrEqual) |  |
-| [GridSample](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GridSample) |  |
-| [HammingWindow](https://github.com/onnx/onnx/blob/master/docs/Operators.md#HammingWindow) |  |
-| [HannWindow](https://github.com/onnx/onnx/blob/master/docs/Operators.md#HannWindow) |  |
-| [HardSigmoid](https://github.com/onnx/onnx/blob/master/docs/Operators.md#HardSigmoid) |  |
-| [HardSwish](https://github.com/onnx/onnx/blob/master/docs/Operators.md#HardSwish) |  |
-| [Hardmax](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Hardmax) |  |
-| [Identity](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Identity) | [1-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Identity-1), [13](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Identity-13), [14-15](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Identity-14), [16+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Identity-16) |
-| [If](https://github.com/onnx/onnx/blob/master/docs/Operators.md#If) |  |
-| [InstanceNormalization](https://github.com/onnx/onnx/blob/master/docs/Operators.md#InstanceNormalization) | [6+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#InstanceNormalization-6) |
-| [IsInf](https://github.com/onnx/onnx/blob/master/docs/Operators.md#IsInf) |  |
-| [IsNaN](https://github.com/onnx/onnx/blob/master/docs/Operators.md#IsNaN) |  |
-| [LRN](https://github.com/onnx/onnx/blob/master/docs/Operators.md#LRN) |  |
-| [LSTM](https://github.com/onnx/onnx/blob/master/docs/Operators.md#LSTM) |  |
-| [LayerNormalization](https://github.com/onnx/onnx/blob/master/docs/Operators.md#LayerNormalization) |  |
-| [LeakyRelu](https://github.com/onnx/onnx/blob/master/docs/Operators.md#LeakyRelu) | [6-15](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#LeakyRelu-6), [16+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#LeakyRelu-16) |
-| [Less](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Less) | [7-8](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Less-7), [9-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Less-9), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Less-13) |
-| [LessOrEqual](https://github.com/onnx/onnx/blob/master/docs/Operators.md#LessOrEqual) |  |
-| [Log](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Log) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Log-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Log-13) |
-| [LogSoftmax](https://github.com/onnx/onnx/blob/master/docs/Operators.md#LogSoftmax) |  |
-| [Loop](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Loop) |  |
-| [LpNormalization](https://github.com/onnx/onnx/blob/master/docs/Operators.md#LpNormalization) |  |
-| [LpPool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#LpPool) |  |
-| [MatMul](https://github.com/onnx/onnx/blob/master/docs/Operators.md#MatMul) | [1-8](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#MatMul-1), [9-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#MatMul-9), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#MatMul-13) |
-| [MatMulInteger](https://github.com/onnx/onnx/blob/master/docs/Operators.md#MatMulInteger) |  |
-| [Max](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Max) |  |
-| [MaxPool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#MaxPool) | [1-7](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#MaxPool-1), [8-9](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#MaxPool-8), [10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#MaxPool-10), [11](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#MaxPool-11), [12+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#MaxPool-12) |
-| [MaxRoiPool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#MaxRoiPool) |  |
-| [MaxUnpool](https://github.com/onnx/onnx/blob/master/docs/Operators.md#MaxUnpool) |  |
-| [Mean](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Mean) |  |
-| [MeanVarianceNormalization](https://github.com/onnx/onnx/blob/master/docs/Operators.md#MeanVarianceNormalization) |  |
-| [MelWeightMatrix](https://github.com/onnx/onnx/blob/master/docs/Operators.md#MelWeightMatrix) |  |
-| [Min](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Min) |  |
-| [Mod](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Mod) |  |
-| [Mul](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Mul) | [7-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Mul-7), [13](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Mul-13), [14+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Mul-14) |
-| [Multinomial](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Multinomial) |  |
-| [Neg](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Neg) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Neg-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Neg-13) |
-| [NegativeLogLikelihoodLoss](https://github.com/onnx/onnx/blob/master/docs/Operators.md#NegativeLogLikelihoodLoss) |  |
-| [NonMaxSuppression](https://github.com/onnx/onnx/blob/master/docs/Operators.md#NonMaxSuppression) |  |
-| [NonZero](https://github.com/onnx/onnx/blob/master/docs/Operators.md#NonZero) |  |
-| [Not](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Not) | [1+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Not-1) |
-| [OneHot](https://github.com/onnx/onnx/blob/master/docs/Operators.md#OneHot) |  |
-| [Optional](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Optional) |  |
-| [OptionalGetElement](https://github.com/onnx/onnx/blob/master/docs/Operators.md#OptionalGetElement) |  |
-| [OptionalHasElement](https://github.com/onnx/onnx/blob/master/docs/Operators.md#OptionalHasElement) |  |
-| [Or](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Or) | [7+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Or-7) |
-| [PRelu](https://github.com/onnx/onnx/blob/master/docs/Operators.md#PRelu) | [7-8](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#PRelu-7), [9-15](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#PRelu-9), [16+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#PRelu-16) |
-| [Pad](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Pad) | [2-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Pad-2), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Pad-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Pad-13) |
-| [Pow](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Pow) | [7-11](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Pow-7), [12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Pow-12), [13-14](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Pow-13), [15+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Pow-15) |
-| [QLinearConv](https://github.com/onnx/onnx/blob/master/docs/Operators.md#QLinearConv) |  |
-| [QLinearMatMul](https://github.com/onnx/onnx/blob/master/docs/Operators.md#QLinearMatMul) |  |
-| [QuantizeLinear](https://github.com/onnx/onnx/blob/master/docs/Operators.md#QuantizeLinear) |  |
-| [RNN](https://github.com/onnx/onnx/blob/master/docs/Operators.md#RNN) |  |
-| [RandomNormal](https://github.com/onnx/onnx/blob/master/docs/Operators.md#RandomNormal) |  |
-| [RandomNormalLike](https://github.com/onnx/onnx/blob/master/docs/Operators.md#RandomNormalLike) |  |
-| [RandomUniform](https://github.com/onnx/onnx/blob/master/docs/Operators.md#RandomUniform) |  |
-| [RandomUniformLike](https://github.com/onnx/onnx/blob/master/docs/Operators.md#RandomUniformLike) |  |
-| [Range](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Range) |  |
-| [Reciprocal](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Reciprocal) |  |
-| [ReduceL1](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceL1) |  |
-| [ReduceL2](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceL2) |  |
-| [ReduceLogSum](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceLogSum) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceLogSum-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceLogSum-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceLogSum-13) |
-| [ReduceLogSumExp](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceLogSumExp) |  |
-| [ReduceMax](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceMax) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMax-1), [11](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMax-11), [12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMax-12), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMax-13) |
-| [ReduceMean](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceMean) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMean-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMean-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMean-13) |
-| [ReduceMin](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceMin) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMin-1), [11](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMin-11), [12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMin-12), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceMin-13) |
-| [ReduceProd](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceProd) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceProd-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceProd-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceProd-13) |
-| [ReduceSum](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceSum) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceSum-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceSum-11) |
-| [ReduceSumSquare](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReduceSumSquare) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceSumSquare-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceSumSquare-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#ReduceSumSquare-13) |
-| [Relu](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Relu) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Relu-6), [13](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Relu-13), [14+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Relu-14) |
-| [Reshape](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Reshape) | [5-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Reshape-5), [13](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Reshape-13), [14+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Reshape-14) |
-| [Resize](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Resize) | [10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Resize-10), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Resize-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Resize-13) |
-| [ReverseSequence](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ReverseSequence) |  |
-| [RoiAlign](https://github.com/onnx/onnx/blob/master/docs/Operators.md#RoiAlign) |  |
-| [Round](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Round) |  |
-| [STFT](https://github.com/onnx/onnx/blob/master/docs/Operators.md#STFT) |  |
-| [Scan](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Scan) |  |
-| [Scatter](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Scatter) |  |
-| [ScatterElements](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ScatterElements) |  |
-| [ScatterND](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ScatterND) |  |
-| [Selu](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Selu) |  |
-| [SequenceAt](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SequenceAt) |  |
-| [SequenceConstruct](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SequenceConstruct) |  |
-| [SequenceEmpty](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SequenceEmpty) |  |
-| [SequenceErase](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SequenceErase) |  |
-| [SequenceInsert](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SequenceInsert) |  |
-| [SequenceLength](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SequenceLength) |  |
-| [SequenceMap](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SequenceMap) |  |
-| [Shape](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Shape) | [1-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Shape-1), [13-14](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Shape-13), [15+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Shape-15) |
-| [Shrink](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Shrink) |  |
-| [Sigmoid](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Sigmoid) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sigmoid-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sigmoid-13) |
-| [Sign](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Sign) |  |
-| [Sin](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Sin) | [7+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sin-7) |
-| [Sinh](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Sinh) |  |
-| [Size](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Size) |  |
-| [Slice](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Slice) | [1-9](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Slice-1), [10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Slice-10), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Slice-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Slice-13) |
-| [Softmax](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Softmax) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Softmax-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Softmax-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Softmax-13) |
-| [SoftmaxCrossEntropyLoss](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SoftmaxCrossEntropyLoss) |  |
-| [Softplus](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Softplus) |  |
-| [Softsign](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Softsign) |  |
-| [SpaceToDepth](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SpaceToDepth) |  |
-| [Split](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Split) | [2-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Split-2), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Split-11) |
-| [SplitToSequence](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SplitToSequence) |  |
-| [Sqrt](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Sqrt) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sqrt-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sqrt-13) |
-| [Squeeze](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Squeeze) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Squeeze-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Squeeze-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Squeeze-13) |
-| [StringNormalizer](https://github.com/onnx/onnx/blob/master/docs/Operators.md#StringNormalizer) |  |
-| [Sub](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Sub) | [7-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sub-7), [13](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sub-13), [14+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sub-14) |
-| [Sum](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Sum) | [6-7](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sum-6), [8-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sum-8), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Sum-13) |
-| [Tan](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Tan) | [7+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Tan-7) |
-| [Tanh](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Tanh) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Tanh-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Tanh-13) |
-| [TfIdfVectorizer](https://github.com/onnx/onnx/blob/master/docs/Operators.md#TfIdfVectorizer) |  |
-| [ThresholdedRelu](https://github.com/onnx/onnx/blob/master/docs/Operators.md#ThresholdedRelu) |  |
-| [Tile](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Tile) | [6-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Tile-6), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Tile-13) |
-| [TopK](https://github.com/onnx/onnx/blob/master/docs/Operators.md#TopK) |  |
-| [Transpose](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Transpose) | [1-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Transpose-1), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Transpose-13) |
-| [Trilu](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Trilu) |  |
-| [Unique](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Unique) |  |
-| [Unsqueeze](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Unsqueeze) | [1-10](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Unsqueeze-1), [11-12](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Unsqueeze-11), [13+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Unsqueeze-13) |
-| [Upsample](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Upsample) | [7-8](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Upsample-7), [9](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Upsample-9) |
-| [Where](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Where) |  |
-| [Xor](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Xor) | [7+](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Xor-7) |
+| [Abs](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Abs) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Abs-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Abs-13) |
+| [Acos](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Acos) | [7+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Acos-7) |
+| [Acosh](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Acosh) |  |
+| [Add](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Add) | [7-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Add-7), [13](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Add-13), [14+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Add-14) |
+| [And](https://github.com/onnx/onnx/blob/main/docs/Operators.md#And) | [7+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#And-7) |
+| [ArgMax](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ArgMax) |  |
+| [ArgMin](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ArgMin) |  |
+| [Asin](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Asin) | [7+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Asin-7) |
+| [Asinh](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Asinh) |  |
+| [Atan](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Atan) | [7+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Atan-7) |
+| [Atanh](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Atanh) |  |
+| [AveragePool](https://github.com/onnx/onnx/blob/main/docs/Operators.md#AveragePool) | [7-9](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#AveragePool-7), [10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#AveragePool-10), [11+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#AveragePool-11) |
+| [BatchNormalization](https://github.com/onnx/onnx/blob/main/docs/Operators.md#BatchNormalization) | [7-8](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#BatchNormalization-7), [9-13](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#BatchNormalization-9), [14](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#BatchNormalization-14), [15+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#BatchNormalization-15) |
+| [Bernoulli](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Bernoulli) |  |
+| [BitShift](https://github.com/onnx/onnx/blob/main/docs/Operators.md#BitShift) |  |
+| [BlackmanWindow](https://github.com/onnx/onnx/blob/main/docs/Operators.md#BlackmanWindow) |  |
+| [Cast](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Cast) | [6-8](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Cast-6), [9-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Cast-9), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Cast-13) |
+| [CastLike](https://github.com/onnx/onnx/blob/main/docs/Operators.md#CastLike) |  |
+| [Ceil](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Ceil) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Ceil-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Ceil-13) |
+| [Celu](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Celu) |  |
+| [Clip](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Clip) | [6-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Clip-6), [11](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Clip-11), [12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Clip-12), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Clip-13) |
+| [Compress](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Compress) |  |
+| [Concat](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Concat) | [4-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Concat-4), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Concat-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Concat-13) |
+| [ConcatFromSequence](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ConcatFromSequence) |  |
+| [Constant](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Constant) |  |
+| [ConstantOfShape](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ConstantOfShape) |  |
+| [Conv](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Conv) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Conv-1), [11+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Conv-11) |
+| [ConvInteger](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ConvInteger) |  |
+| [ConvTranspose](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ConvTranspose) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ConvTranspose-1), [11+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ConvTranspose-11) |
+| [Cos](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Cos) | [7+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Cos-7) |
+| [Cosh](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Cosh) |  |
+| [CumSum](https://github.com/onnx/onnx/blob/main/docs/Operators.md#CumSum) |  |
+| [DFT](https://github.com/onnx/onnx/blob/main/docs/Operators.md#DFT) |  |
+| [DepthToSpace](https://github.com/onnx/onnx/blob/main/docs/Operators.md#DepthToSpace) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#DepthToSpace-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#DepthToSpace-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#DepthToSpace-13) |
+| [DequantizeLinear](https://github.com/onnx/onnx/blob/main/docs/Operators.md#DequantizeLinear) |  |
+| [Det](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Det) |  |
+| [Div](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Div) | [7-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Div-7), [13](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Div-13), [14+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Div-14) |
+| [Dropout](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Dropout) | [7-9](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Dropout-7), [10-11](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Dropout-10), [12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Dropout-12), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Dropout-13) |
+| [DynamicQuantizeLinear](https://github.com/onnx/onnx/blob/main/docs/Operators.md#DynamicQuantizeLinear) |  |
+| [Einsum](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Einsum) |  |
+| [Elu](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Elu) | [6+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Elu-6) |
+| [Equal](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Equal) | [7-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Equal-7), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Equal-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Equal-13) |
+| [Erf](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Erf) |  |
+| [Exp](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Exp) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Exp-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Exp-13) |
+| [Expand](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Expand) |  |
+| [EyeLike](https://github.com/onnx/onnx/blob/main/docs/Operators.md#EyeLike) |  |
+| [Flatten](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Flatten) | [1-8](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Flatten-1), [9-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Flatten-9), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Flatten-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Flatten-13) |
+| [Floor](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Floor) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Floor-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Floor-13) |
+| [GRU](https://github.com/onnx/onnx/blob/main/docs/Operators.md#GRU) |  |
+| [Gather](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Gather) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Gather-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Gather-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Gather-13) |
+| [GatherElements](https://github.com/onnx/onnx/blob/main/docs/Operators.md#GatherElements) |  |
+| [GatherND](https://github.com/onnx/onnx/blob/main/docs/Operators.md#GatherND) |  |
+| [Gemm](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Gemm) | [7-8](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Gemm-7), [9-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Gemm-9), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Gemm-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Gemm-13) |
+| [GlobalAveragePool](https://github.com/onnx/onnx/blob/main/docs/Operators.md#GlobalAveragePool) | [1+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#GlobalAveragePool-1) |
+| [GlobalLpPool](https://github.com/onnx/onnx/blob/main/docs/Operators.md#GlobalLpPool) |  |
+| [GlobalMaxPool](https://github.com/onnx/onnx/blob/main/docs/Operators.md#GlobalMaxPool) | [1+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#GlobalMaxPool-1) |
+| [Greater](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Greater) | [7-8](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Greater-7), [9-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Greater-9), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Greater-13) |
+| [GreaterOrEqual](https://github.com/onnx/onnx/blob/main/docs/Operators.md#GreaterOrEqual) |  |
+| [GridSample](https://github.com/onnx/onnx/blob/main/docs/Operators.md#GridSample) |  |
+| [HammingWindow](https://github.com/onnx/onnx/blob/main/docs/Operators.md#HammingWindow) |  |
+| [HannWindow](https://github.com/onnx/onnx/blob/main/docs/Operators.md#HannWindow) |  |
+| [HardSigmoid](https://github.com/onnx/onnx/blob/main/docs/Operators.md#HardSigmoid) |  |
+| [HardSwish](https://github.com/onnx/onnx/blob/main/docs/Operators.md#HardSwish) |  |
+| [Hardmax](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Hardmax) |  |
+| [Identity](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Identity) | [1-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Identity-1), [13](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Identity-13), [14-15](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Identity-14), [16+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Identity-16) |
+| [If](https://github.com/onnx/onnx/blob/main/docs/Operators.md#If) |  |
+| [InstanceNormalization](https://github.com/onnx/onnx/blob/main/docs/Operators.md#InstanceNormalization) | [6+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#InstanceNormalization-6) |
+| [IsInf](https://github.com/onnx/onnx/blob/main/docs/Operators.md#IsInf) |  |
+| [IsNaN](https://github.com/onnx/onnx/blob/main/docs/Operators.md#IsNaN) |  |
+| [LRN](https://github.com/onnx/onnx/blob/main/docs/Operators.md#LRN) |  |
+| [LSTM](https://github.com/onnx/onnx/blob/main/docs/Operators.md#LSTM) |  |
+| [LayerNormalization](https://github.com/onnx/onnx/blob/main/docs/Operators.md#LayerNormalization) |  |
+| [LeakyRelu](https://github.com/onnx/onnx/blob/main/docs/Operators.md#LeakyRelu) | [6-15](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#LeakyRelu-6), [16+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#LeakyRelu-16) |
+| [Less](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Less) | [7-8](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Less-7), [9-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Less-9), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Less-13) |
+| [LessOrEqual](https://github.com/onnx/onnx/blob/main/docs/Operators.md#LessOrEqual) |  |
+| [Log](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Log) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Log-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Log-13) |
+| [LogSoftmax](https://github.com/onnx/onnx/blob/main/docs/Operators.md#LogSoftmax) |  |
+| [Loop](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Loop) |  |
+| [LpNormalization](https://github.com/onnx/onnx/blob/main/docs/Operators.md#LpNormalization) |  |
+| [LpPool](https://github.com/onnx/onnx/blob/main/docs/Operators.md#LpPool) |  |
+| [MatMul](https://github.com/onnx/onnx/blob/main/docs/Operators.md#MatMul) | [1-8](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#MatMul-1), [9-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#MatMul-9), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#MatMul-13) |
+| [MatMulInteger](https://github.com/onnx/onnx/blob/main/docs/Operators.md#MatMulInteger) |  |
+| [Max](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Max) |  |
+| [MaxPool](https://github.com/onnx/onnx/blob/main/docs/Operators.md#MaxPool) | [1-7](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#MaxPool-1), [8-9](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#MaxPool-8), [10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#MaxPool-10), [11](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#MaxPool-11), [12+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#MaxPool-12) |
+| [MaxRoiPool](https://github.com/onnx/onnx/blob/main/docs/Operators.md#MaxRoiPool) |  |
+| [MaxUnpool](https://github.com/onnx/onnx/blob/main/docs/Operators.md#MaxUnpool) |  |
+| [Mean](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Mean) |  |
+| [MeanVarianceNormalization](https://github.com/onnx/onnx/blob/main/docs/Operators.md#MeanVarianceNormalization) |  |
+| [MelWeightMatrix](https://github.com/onnx/onnx/blob/main/docs/Operators.md#MelWeightMatrix) |  |
+| [Min](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Min) |  |
+| [Mod](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Mod) |  |
+| [Mul](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Mul) | [7-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Mul-7), [13](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Mul-13), [14+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Mul-14) |
+| [Multinomial](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Multinomial) |  |
+| [Neg](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Neg) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Neg-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Neg-13) |
+| [NegativeLogLikelihoodLoss](https://github.com/onnx/onnx/blob/main/docs/Operators.md#NegativeLogLikelihoodLoss) |  |
+| [NonMaxSuppression](https://github.com/onnx/onnx/blob/main/docs/Operators.md#NonMaxSuppression) |  |
+| [NonZero](https://github.com/onnx/onnx/blob/main/docs/Operators.md#NonZero) |  |
+| [Not](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Not) | [1+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Not-1) |
+| [OneHot](https://github.com/onnx/onnx/blob/main/docs/Operators.md#OneHot) |  |
+| [Optional](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Optional) |  |
+| [OptionalGetElement](https://github.com/onnx/onnx/blob/main/docs/Operators.md#OptionalGetElement) |  |
+| [OptionalHasElement](https://github.com/onnx/onnx/blob/main/docs/Operators.md#OptionalHasElement) |  |
+| [Or](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Or) | [7+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Or-7) |
+| [PRelu](https://github.com/onnx/onnx/blob/main/docs/Operators.md#PRelu) | [7-8](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#PRelu-7), [9-15](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#PRelu-9), [16+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#PRelu-16) |
+| [Pad](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Pad) | [2-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Pad-2), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Pad-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Pad-13) |
+| [Pow](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Pow) | [7-11](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Pow-7), [12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Pow-12), [13-14](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Pow-13), [15+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Pow-15) |
+| [QLinearConv](https://github.com/onnx/onnx/blob/main/docs/Operators.md#QLinearConv) |  |
+| [QLinearMatMul](https://github.com/onnx/onnx/blob/main/docs/Operators.md#QLinearMatMul) |  |
+| [QuantizeLinear](https://github.com/onnx/onnx/blob/main/docs/Operators.md#QuantizeLinear) |  |
+| [RNN](https://github.com/onnx/onnx/blob/main/docs/Operators.md#RNN) |  |
+| [RandomNormal](https://github.com/onnx/onnx/blob/main/docs/Operators.md#RandomNormal) |  |
+| [RandomNormalLike](https://github.com/onnx/onnx/blob/main/docs/Operators.md#RandomNormalLike) |  |
+| [RandomUniform](https://github.com/onnx/onnx/blob/main/docs/Operators.md#RandomUniform) |  |
+| [RandomUniformLike](https://github.com/onnx/onnx/blob/main/docs/Operators.md#RandomUniformLike) |  |
+| [Range](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Range) |  |
+| [Reciprocal](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Reciprocal) |  |
+| [ReduceL1](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceL1) |  |
+| [ReduceL2](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceL2) |  |
+| [ReduceLogSum](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceLogSum) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceLogSum-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceLogSum-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceLogSum-13) |
+| [ReduceLogSumExp](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceLogSumExp) |  |
+| [ReduceMax](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceMax) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMax-1), [11](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMax-11), [12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMax-12), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMax-13) |
+| [ReduceMean](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceMean) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMean-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMean-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMean-13) |
+| [ReduceMin](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceMin) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMin-1), [11](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMin-11), [12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMin-12), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceMin-13) |
+| [ReduceProd](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceProd) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceProd-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceProd-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceProd-13) |
+| [ReduceSum](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceSum) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceSum-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceSum-11) |
+| [ReduceSumSquare](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReduceSumSquare) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceSumSquare-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceSumSquare-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#ReduceSumSquare-13) |
+| [Relu](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Relu) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Relu-6), [13](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Relu-13), [14+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Relu-14) |
+| [Reshape](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Reshape) | [5-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Reshape-5), [13](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Reshape-13), [14+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Reshape-14) |
+| [Resize](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Resize) | [10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Resize-10), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Resize-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Resize-13) |
+| [ReverseSequence](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ReverseSequence) |  |
+| [RoiAlign](https://github.com/onnx/onnx/blob/main/docs/Operators.md#RoiAlign) |  |
+| [Round](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Round) |  |
+| [STFT](https://github.com/onnx/onnx/blob/main/docs/Operators.md#STFT) |  |
+| [Scan](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Scan) |  |
+| [Scatter](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Scatter) |  |
+| [ScatterElements](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ScatterElements) |  |
+| [ScatterND](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ScatterND) |  |
+| [Selu](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Selu) |  |
+| [SequenceAt](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SequenceAt) |  |
+| [SequenceConstruct](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SequenceConstruct) |  |
+| [SequenceEmpty](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SequenceEmpty) |  |
+| [SequenceErase](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SequenceErase) |  |
+| [SequenceInsert](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SequenceInsert) |  |
+| [SequenceLength](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SequenceLength) |  |
+| [SequenceMap](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SequenceMap) |  |
+| [Shape](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Shape) | [1-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Shape-1), [13-14](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Shape-13), [15+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Shape-15) |
+| [Shrink](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Shrink) |  |
+| [Sigmoid](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Sigmoid) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sigmoid-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sigmoid-13) |
+| [Sign](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Sign) |  |
+| [Sin](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Sin) | [7+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sin-7) |
+| [Sinh](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Sinh) |  |
+| [Size](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Size) |  |
+| [Slice](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Slice) | [1-9](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Slice-1), [10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Slice-10), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Slice-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Slice-13) |
+| [Softmax](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softmax) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Softmax-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Softmax-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Softmax-13) |
+| [SoftmaxCrossEntropyLoss](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SoftmaxCrossEntropyLoss) |  |
+| [Softplus](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softplus) |  |
+| [Softsign](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softsign) |  |
+| [SpaceToDepth](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SpaceToDepth) |  |
+| [Split](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Split) | [2-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Split-2), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Split-11) |
+| [SplitToSequence](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SplitToSequence) |  |
+| [Sqrt](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Sqrt) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sqrt-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sqrt-13) |
+| [Squeeze](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Squeeze) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Squeeze-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Squeeze-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Squeeze-13) |
+| [StringNormalizer](https://github.com/onnx/onnx/blob/main/docs/Operators.md#StringNormalizer) |  |
+| [Sub](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Sub) | [7-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sub-7), [13](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sub-13), [14+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sub-14) |
+| [Sum](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Sum) | [6-7](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sum-6), [8-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sum-8), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Sum-13) |
+| [Tan](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Tan) | [7+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Tan-7) |
+| [Tanh](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Tanh) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Tanh-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Tanh-13) |
+| [TfIdfVectorizer](https://github.com/onnx/onnx/blob/main/docs/Operators.md#TfIdfVectorizer) |  |
+| [ThresholdedRelu](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ThresholdedRelu) |  |
+| [Tile](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Tile) | [6-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Tile-6), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Tile-13) |
+| [TopK](https://github.com/onnx/onnx/blob/main/docs/Operators.md#TopK) |  |
+| [Transpose](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Transpose) | [1-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Transpose-1), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Transpose-13) |
+| [Trilu](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Trilu) |  |
+| [Unique](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Unique) |  |
+| [Unsqueeze](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Unsqueeze) | [1-10](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Unsqueeze-1), [11-12](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Unsqueeze-11), [13+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Unsqueeze-13) |
+| [Upsample](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Upsample) | [7-8](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Upsample-7), [9](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Upsample-9) |
+| [Where](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Where) |  |
+| [Xor](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Xor) | [7+](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Xor-7) |
diff --git a/js/web/lib/onnxjs/backends/webgl/ops/conv-transpose.ts b/js/web/lib/onnxjs/backends/webgl/ops/conv-transpose.ts
index ffbe0f7870f9e..0da1d64871314 100644
--- a/js/web/lib/onnxjs/backends/webgl/ops/conv-transpose.ts
+++ b/js/web/lib/onnxjs/backends/webgl/ops/conv-transpose.ts
@@ -91,7 +91,7 @@ const createUnpackedConvTransposeProgramInfo =
     ivec4 coords = getOutputCoords();
     int batch = coords.x;
     int output_channel = coords.y;
-    
+
     ivec2 loc = coords.zw + pads;
 
     int group_id = output_channel / ${outputChannelsPerGroup};
@@ -192,7 +192,7 @@ export const parseConvTransposeAttributes: OperatorInitialization<ConvTransposeA
 
 const validateInputs = (inputs: Tensor[], attributes: ConvTransposeAttributes): void => {
   // Refer to the below link for all input checks
-  // https://github.com/onnx/onnx/blob/master/docs/Operators.md#Conv
+  // https://github.com/onnx/onnx/blob/main/docs/Operators.md#Conv
   if (!inputs || (inputs.length !== 2 && inputs.length !== 3)) {
     throw new Error('Conv requires 2 or 3 inputs');
   }
diff --git a/js/web/lib/onnxjs/backends/webgl/ops/conv.ts b/js/web/lib/onnxjs/backends/webgl/ops/conv.ts
index b6527bf2c4e2d..ea623f5c4dbbc 100644
--- a/js/web/lib/onnxjs/backends/webgl/ops/conv.ts
+++ b/js/web/lib/onnxjs/backends/webgl/ops/conv.ts
@@ -129,7 +129,7 @@ export const parseConvAttributes: OperatorInitialization<ConvAttributes> = (node
 
 const validateInputs = (inputs: Tensor[], attributes: ConvAttributes): void => {
   // Refer to the below link for all input checks
-  // https://github.com/onnx/onnx/blob/master/docs/Operators.md#Conv
+  // https://github.com/onnx/onnx/blob/main/docs/Operators.md#Conv
   if (!inputs || (inputs.length !== 2 && inputs.length !== 3)) {
     throw new Error('Conv requires 2 or 3 inputs');
   }
diff --git a/js/web/lib/onnxjs/backends/webgl/ops/softmax.ts b/js/web/lib/onnxjs/backends/webgl/ops/softmax.ts
index 8e2356c8e226c..585fbf7bbf01b 100644
--- a/js/web/lib/onnxjs/backends/webgl/ops/softmax.ts
+++ b/js/web/lib/onnxjs/backends/webgl/ops/softmax.ts
@@ -54,8 +54,8 @@ export const parseSoftmaxAttributesV13: OperatorInitialization<SoftmaxAttributes
     (node: Graph.Node): SoftmaxAttributes => createAttributeWithCacheKey({axis: node.attributes.getInt('axis', -1)});
 
 // The "semantic" meaning of axis has changed in opset-13.
-// Please compare: https://github.com/onnx/onnx/blob/master/docs/Operators.md#Softmax
-// with https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Softmax-11 for detailed explanations
+// Please compare: https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softmax
+// with https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Softmax-11 for detailed explanations
 // To account for the opset-13 behavior, our plan will be to transpose the "axis" dim to the innermost dim
 // and perform softmax and then reverse the transpose. We can skip the transposing aspect if the axis is already
 // the innermost dim
@@ -279,4 +279,4 @@ const validateInputs = (inputs: Tensor[]): void => {
   if (inputs[0].type !== 'float32' && inputs[0].type !== 'float64') {
     throw new Error('Invalid input type');
   }
-};
\ No newline at end of file
+};
diff --git a/js/web/lib/onnxjs/util.ts b/js/web/lib/onnxjs/util.ts
index c791493d6e902..54806f90f28b5 100644
--- a/js/web/lib/onnxjs/util.ts
+++ b/js/web/lib/onnxjs/util.ts
@@ -624,7 +624,7 @@ export class ShapeUtil {
    * originalDims = [2,2] and shapeHints = [0,-1] will return [2,2]
    * originalDims = [2,2] and shapeHints = [4] will return [4]
    * originalDims = [2,2] and shapeHints = [5] will throw an exception
-   * https://github.com/onnx/onnx/blob/master/docs/Operators.md#Reshape
+   * https://github.com/onnx/onnx/blob/main/docs/Operators.md#Reshape
    */
 
   static calculateReshapedDims(originalDims: readonly number[], shapeHints: ArrayLike<number>): number[] {
diff --git a/js/web/script/generate-operator-md.ts b/js/web/script/generate-operator-md.ts
index f6bb4bac58161..0a1d845faf535 100644
--- a/js/web/script/generate-operator-md.ts
+++ b/js/web/script/generate-operator-md.ts
@@ -27,7 +27,7 @@ function formatDesc(opType: string, range: [number, number], support: boolean, l
   let versionDesc = '';
   if (support) {
     versionDesc = last ? `${range[0]}+` : range[0] === range[1] ? `${range[0]}` : `${range[0]}-${range[1]}`;
-    versionDesc = `[${versionDesc}](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#${opType}-${range[0]})`;
+    versionDesc = `[${versionDesc}](https://github.com/onnx/onnx/blob/main/docs/Changelog.md#${opType}-${range[0]})`;
   }
   return versionDesc;
 }
@@ -73,7 +73,7 @@ const opTypes = Array.from(onnxOpset.keys()).sort();
 
 const doc = fs.createWriteStream(path.join(__dirname, '../docs/operators.md'));
 doc.write(`## Operators Support Table${EOL}${EOL}`);
-doc.write(`The following table shows [ai.onnx](https://github.com/onnx/onnx/blob/master/docs/Operators.md)\
+doc.write(`The following table shows [ai.onnx](https://github.com/onnx/onnx/blob/main/docs/Operators.md)\
   operators from which onnx opset version are currently supported by ONNX Runtime Web. For example, \`4-6, 8+\` means\
   ONNX Runtime Web currently support opset version 4 to 6, 8 and above.${EOL}${EOL}`);
 doc.write(`See [Compatibility](../README.md#Compatibility) for a list of the supported platforms.${EOL}${EOL}`);
@@ -99,7 +99,7 @@ for (const type of opTypes) {
     webgl.push(formatDesc(type, versionRange, checkSupport(type, versionRange, webglCheckOnlyRules), last));
   }
 
-  doc.write(`| [${type}](https://github.com/onnx/onnx/blob/master/docs/Operators.md#${type}) | ${
+  doc.write(`| [${type}](https://github.com/onnx/onnx/blob/main/docs/Operators.md#${type}) | ${
       webgl.filter(d => d.length > 0).join(', ')} |${EOL}`);
 }
 doc.end();
diff --git a/onnxruntime/contrib_ops/cuda/math/complex_mul_impl.cu b/onnxruntime/contrib_ops/cuda/math/complex_mul_impl.cu
index e72a83cb20915..ca94477114ee2 100644
--- a/onnxruntime/contrib_ops/cuda/math/complex_mul_impl.cu
+++ b/onnxruntime/contrib_ops/cuda/math/complex_mul_impl.cu
@@ -50,7 +50,7 @@ __global__ void _ElementWiseWithStrideTwo(
     if (id < N / 2) {
       CUDA_LONG lhs_index = (lhs_need_compute ? 0 : id);
       CUDA_LONG rhs_index = (rhs_need_compute ? 0 : id);
-      // compute indexes with broadcasting rules: https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md
+      // compute indexes with broadcasting rules: https://github.com/onnx/onnx/blob/main/docs/Broadcasting.md
       CUDA_LONG offset = id;
 #pragma unroll
       for (auto dim = 0; dim < fdm_output_strides.Capacity(); dim++) {
diff --git a/onnxruntime/core/providers/cpu/cpu_execution_provider.cc b/onnxruntime/core/providers/cpu/cpu_execution_provider.cc
index 191f34439c7bf..c627c7bf3c5fe 100644
--- a/onnxruntime/core/providers/cpu/cpu_execution_provider.cc
+++ b/onnxruntime/core/providers/cpu/cpu_execution_provider.cc
@@ -791,7 +791,7 @@ class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 17, ST
  opset.
 
  To double-check what versions an operator should have registrations for see
- https://github.com/onnx/onnx/blob/master/docs/Operators.md
+ https://github.com/onnx/onnx/blob/main/docs/Operators.md
 *****/
 
 template <>
diff --git a/onnxruntime/core/providers/cpu/generator/random.cc b/onnxruntime/core/providers/cpu/generator/random.cc
index 0b36adbaf6df9..6492b2ca63dd0 100644
--- a/onnxruntime/core/providers/cpu/generator/random.cc
+++ b/onnxruntime/core/providers/cpu/generator/random.cc
@@ -132,7 +132,7 @@ ONNX_CPU_OPERATOR_KERNEL(
                         BuildKernelDefConstraintsFromTypeList<EnabledRandomUniformLikeOutputTypes>()),
     RandomUniformLike);
 
-// https://github.com/onnx/onnx/blob/master/docs/Operators.md#multinomial
+// https://github.com/onnx/onnx/blob/main/docs/Operators.md#multinomial
 ONNX_CPU_OPERATOR_KERNEL(
     Multinomial,
     7,
diff --git a/onnxruntime/core/providers/cpu/math/hardmax.cc b/onnxruntime/core/providers/cpu/math/hardmax.cc
index a28ad9968272e..66306264880af 100644
--- a/onnxruntime/core/providers/cpu/math/hardmax.cc
+++ b/onnxruntime/core/providers/cpu/math/hardmax.cc
@@ -30,8 +30,8 @@ Status Hardmax<float>::Compute(OpKernelContext* ctx) const {
   std::vector<size_t> permutation(rank);
 
   // The "semantic" meaning of axis has changed in opset-13.
-  // Please compare: https://github.com/onnx/onnx/blob/master/docs/Operators.md#Hardmax
-  // with https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Hardmax-11 for detailed explanations
+  // Please compare: https://github.com/onnx/onnx/blob/main/docs/Operators.md#Hardmax
+  // with https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Hardmax-11 for detailed explanations
   // To account for the opset-13 behavior, our plan will be to transpose the "axis" dim to the innermost dim
   // and perform softmax and then reverse the transpose. We can skip the transposing aspect if the axis is already
   // the innermost dim
diff --git a/onnxruntime/core/providers/cpu/math/softmax.cc b/onnxruntime/core/providers/cpu/math/softmax.cc
index 6526b5f760474..a249c93944a5f 100644
--- a/onnxruntime/core/providers/cpu/math/softmax.cc
+++ b/onnxruntime/core/providers/cpu/math/softmax.cc
@@ -133,8 +133,8 @@ Status Softmax<T>::ComputeImplOpset13(const Tensor& input, Tensor& output, size_
   std::vector<size_t> permutation(rank);
 
   // The "semantic" meaning of axis has changed in opset-13.
-  // Please compare: https://github.com/onnx/onnx/blob/master/docs/Operators.md#Softmax
-  // with https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Softmax-11 for detailed explanations
+  // Please compare: https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softmax
+  // with https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Softmax-11 for detailed explanations
   // To account for the opset-13 behavior, our plan will be to transpose the "axis" dim to the innermost dim
   // and perform softmax and then reverse the transpose. We can skip the transposing aspect if the axis is already
   // the innermost dim
diff --git a/onnxruntime/core/providers/cpu/math/top_k.cc b/onnxruntime/core/providers/cpu/math/top_k.cc
index 641f64e853bd8..b666621d31eab 100644
--- a/onnxruntime/core/providers/cpu/math/top_k.cc
+++ b/onnxruntime/core/providers/cpu/math/top_k.cc
@@ -572,7 +572,7 @@ Status TopK<11, int64_t>::Compute(OpKernelContext* p_op_kernel_context) const {
 }
 
 // Register necessary kernels
-// spec https://github.com/onnx/onnx/blob/master/docs/Operators.md#TopK
+// spec https://github.com/onnx/onnx/blob/main/docs/Operators.md#TopK
 
 #define REGISTER_TOPK_VERSIONED_TYPED_KERNEL(OPSET1, OPSET2, TYPE)                                           \
   ONNX_CPU_OPERATOR_VERSIONED_TYPED_KERNEL(TopK, OPSET1, OPSET2, TYPE,                                       \
diff --git a/onnxruntime/core/providers/cpu/ml/array_feature_extractor.cc b/onnxruntime/core/providers/cpu/ml/array_feature_extractor.cc
index 5743a9e03ace7..af67419f4fb91 100644
--- a/onnxruntime/core/providers/cpu/ml/array_feature_extractor.cc
+++ b/onnxruntime/core/providers/cpu/ml/array_feature_extractor.cc
@@ -4,7 +4,7 @@
 #include "core/providers/cpu/ml/array_feature_extractor.h"
 
 /**
-https://github.com/onnx/onnx/blob/master/onnx/defs/traditionalml/defs.cc
+https://github.com/onnx/onnx/blob/main/onnx/defs/traditionalml/defs.cc
 ONNX_OPERATOR_SCHEMA(ArrayFeatureExtractor)
     .SetDomain("ai.onnx.ml")
     .SetDoc(R"DOC(
diff --git a/onnxruntime/core/providers/cpu/ml/binarizer.cc b/onnxruntime/core/providers/cpu/ml/binarizer.cc
index f577f48105ff3..0c7af89b5f8c0 100644
--- a/onnxruntime/core/providers/cpu/ml/binarizer.cc
+++ b/onnxruntime/core/providers/cpu/ml/binarizer.cc
@@ -4,7 +4,7 @@
 #include "core/providers/cpu/ml/binarizer.h"
 #include <cmath>
 /**
-https://github.com/onnx/onnx/blob/master/onnx/defs/traditionalml/defs.cc
+https://github.com/onnx/onnx/blob/main/onnx/defs/traditionalml/defs.cc
 
 ONNX_OPERATOR_SCHEMA(Binarizer)
 .SetDomain("ai.onnx.ml")
diff --git a/onnxruntime/core/providers/cpu/ml/feature_vectorizer.h b/onnxruntime/core/providers/cpu/ml/feature_vectorizer.h
index b1b4b9a0f1d40..ea92e062cd86a 100644
--- a/onnxruntime/core/providers/cpu/ml/feature_vectorizer.h
+++ b/onnxruntime/core/providers/cpu/ml/feature_vectorizer.h
@@ -10,7 +10,7 @@
 namespace onnxruntime {
 namespace ml {
 
-// https://github.com/onnx/onnx/blob/master/docs/Operators-ml.md#ai.onnx.ml.FeatureVectorizer
+// https://github.com/onnx/onnx/blob/main/docs/Operators-ml.md#ai.onnx.ml.FeatureVectorizer
 class FeatureVectorizer final : public OpKernel {
  public:
   FeatureVectorizer(const OpKernelInfo& info) : OpKernel(info) {
diff --git a/onnxruntime/core/providers/cpu/ml/imputer.cc b/onnxruntime/core/providers/cpu/ml/imputer.cc
index 5f310ea11bd54..5477f14d3fda6 100644
--- a/onnxruntime/core/providers/cpu/ml/imputer.cc
+++ b/onnxruntime/core/providers/cpu/ml/imputer.cc
@@ -4,7 +4,7 @@
 #include "core/providers/cpu/ml/imputer.h"
 #include <cmath>
 /**
-https://github.com/onnx/onnx/blob/master/onnx/defs/traditionalml/defs.cc
+https://github.com/onnx/onnx/blob/main/onnx/defs/traditionalml/defs.cc
 ONNX_OPERATOR_SCHEMA(Imputer)
 .SetDomain("ai.onnx.ml")
 .SetDoc(R"DOC(
diff --git a/onnxruntime/core/providers/cpu/ml/linearclassifier.cc b/onnxruntime/core/providers/cpu/ml/linearclassifier.cc
index 83b6076ebd5e2..e55ebc36b5efb 100644
--- a/onnxruntime/core/providers/cpu/ml/linearclassifier.cc
+++ b/onnxruntime/core/providers/cpu/ml/linearclassifier.cc
@@ -38,7 +38,7 @@ LinearClassifier::LinearClassifier(const OpKernelInfo& info)
 }
 
 // Use GEMM for the calculations, with broadcasting of intercepts
-// https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gemm
+// https://github.com/onnx/onnx/blob/main/docs/Operators.md#Gemm
 //
 // X: [num_batches, num_features]
 // coefficients_: [num_targets, num_features]
diff --git a/onnxruntime/core/providers/cpu/ml/linearregressor.cc b/onnxruntime/core/providers/cpu/ml/linearregressor.cc
index 0f109848c47a7..aedee95c7e93d 100644
--- a/onnxruntime/core/providers/cpu/ml/linearregressor.cc
+++ b/onnxruntime/core/providers/cpu/ml/linearregressor.cc
@@ -28,7 +28,7 @@ LinearRegressor::LinearRegressor(const OpKernelInfo& info)
 }
 
 // Use GEMM for the calculations, with broadcasting of intercepts
-// https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gemm
+// https://github.com/onnx/onnx/blob/main/docs/Operators.md#Gemm
 //
 // X: [num_batches, num_features]
 // coefficients_: [num_targets, num_features]
diff --git a/onnxruntime/core/providers/cpu/ml/onehotencoder.cc b/onnxruntime/core/providers/cpu/ml/onehotencoder.cc
index 9b3b6be36927c..37db277f9ee5d 100644
--- a/onnxruntime/core/providers/cpu/ml/onehotencoder.cc
+++ b/onnxruntime/core/providers/cpu/ml/onehotencoder.cc
@@ -3,7 +3,7 @@
 
 #include "core/providers/cpu/ml/onehotencoder.h"
 /**
-https://github.com/onnx/onnx/blob/master/onnx/defs/traditionalml/defs.cc
+https://github.com/onnx/onnx/blob/main/onnx/defs/traditionalml/defs.cc
 ONNX_OPERATOR_SCHEMA(OneHotEncoder)
 .SetDomain("ai.onnx.ml")
 .SetDoc(R"DOC(
diff --git a/onnxruntime/core/providers/cpu/ml/scaler.cc b/onnxruntime/core/providers/cpu/ml/scaler.cc
index 1361fcb153a2e..84317f823fc32 100644
--- a/onnxruntime/core/providers/cpu/ml/scaler.cc
+++ b/onnxruntime/core/providers/cpu/ml/scaler.cc
@@ -4,7 +4,7 @@
 #include "core/providers/cpu/ml/scaler.h"
 
 /**
-https://github.com/onnx/onnx/blob/master/onnx/defs/traditionalml/defs.cc
+https://github.com/onnx/onnx/blob/main/onnx/defs/traditionalml/defs.cc
 ONNX_OPERATOR_SCHEMA(Scaler)
 .SetDomain("ai.onnx.ml")
 .SetDoc(R"DOC(
diff --git a/onnxruntime/core/providers/cpu/ml/zipmap.cc b/onnxruntime/core/providers/cpu/ml/zipmap.cc
index 0b6f82b9f1dd4..76993e5921da9 100644
--- a/onnxruntime/core/providers/cpu/ml/zipmap.cc
+++ b/onnxruntime/core/providers/cpu/ml/zipmap.cc
@@ -4,7 +4,7 @@
 #include "core/providers/cpu/ml/zipmap.h"
 #include "core/util/math_cpuonly.h"
 /**
-https://github.com/onnx/onnx/blob/master/onnx/defs/traditionalml/defs.cc
+https://github.com/onnx/onnx/blob/main/onnx/defs/traditionalml/defs.cc
 ONNX_OPERATOR_SCHEMA(ZipMap)
 .SetDomain("ai.onnx.ml")
 .SetDoc(R"DOC(
diff --git a/onnxruntime/core/providers/cpu/nn/batch_norm.cc b/onnxruntime/core/providers/cpu/nn/batch_norm.cc
index ebd1af6c0e9cd..46e812efb48fa 100644
--- a/onnxruntime/core/providers/cpu/nn/batch_norm.cc
+++ b/onnxruntime/core/providers/cpu/nn/batch_norm.cc
@@ -19,7 +19,7 @@
 #include "core/providers/cpu/nn/batch_norm_helper.h"
 
 namespace onnxruntime {
-// spec: https://github.com/onnx/onnx/blob/master/docs/Operators.md#BatchNormalization
+// spec: https://github.com/onnx/onnx/blob/main/docs/Operators.md#BatchNormalization
 
 ONNX_CPU_OPERATOR_VERSIONED_TYPED_KERNEL(BatchNormalization, 7, 8, float,
                                          KernelDefBuilder().TypeConstraint("T", DataTypeImpl::GetTensorType<float>()),
diff --git a/onnxruntime/core/providers/cpu/tensor/gather.cc b/onnxruntime/core/providers/cpu/tensor/gather.cc
index 9d81059e3b4fa..fd499e36530e0 100644
--- a/onnxruntime/core/providers/cpu/tensor/gather.cc
+++ b/onnxruntime/core/providers/cpu/tensor/gather.cc
@@ -1,7 +1,7 @@
 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
 
-//https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gather
+//https://github.com/onnx/onnx/blob/main/docs/Operators.md#Gather
 #include "core/providers/cpu/tensor/gather.h"
 #include "core/common/common.h"
 #include "core/framework/op_kernel_type_control_utils.h"
diff --git a/onnxruntime/core/providers/cpu/tensor/isinf.cc b/onnxruntime/core/providers/cpu/tensor/isinf.cc
index 88144256c93de..104da86df7290 100644
--- a/onnxruntime/core/providers/cpu/tensor/isinf.cc
+++ b/onnxruntime/core/providers/cpu/tensor/isinf.cc
@@ -11,7 +11,7 @@
 #include "core/providers/op_kernel_type_control.h"
 
 namespace onnxruntime {
-// https://github.com/onnx/onnx/blob/master/docs/Operators.md#IsInf
+// https://github.com/onnx/onnx/blob/main/docs/Operators.md#IsInf
 
 namespace op_kernel_type_control {
 ORT_SPECIFY_OP_KERNEL_ARG_DEFAULT_TYPES_ALL_OPSETS(
diff --git a/onnxruntime/core/providers/cpu/tensor/isnan.cc b/onnxruntime/core/providers/cpu/tensor/isnan.cc
index 047855304b2cc..a22d619709abc 100644
--- a/onnxruntime/core/providers/cpu/tensor/isnan.cc
+++ b/onnxruntime/core/providers/cpu/tensor/isnan.cc
@@ -9,7 +9,7 @@
 #include "Eigen/src/Core/arch/Default/Half.h"
 
 namespace onnxruntime {
-// https://github.com/onnx/onnx/blob/master/docs/Operators.md#IsNaN
+// https://github.com/onnx/onnx/blob/main/docs/Operators.md#IsNaN
 #define ADD_TYPED_ISNAN_OP_9(data_type)                                   \
   ONNX_CPU_OPERATOR_VERSIONED_TYPED_KERNEL(                               \
       IsNaN,                                                              \
diff --git a/onnxruntime/core/providers/cpu/tensor/onehot.cc b/onnxruntime/core/providers/cpu/tensor/onehot.cc
index 49dc8b627a203..48de8629f64e6 100644
--- a/onnxruntime/core/providers/cpu/tensor/onehot.cc
+++ b/onnxruntime/core/providers/cpu/tensor/onehot.cc
@@ -26,7 +26,7 @@ using namespace ::onnxruntime::common;
 using namespace std;
 
 namespace onnxruntime {
-// spec: https://github.com/onnx/onnx/blob/master/docs/Operators.md#OneHot
+// spec: https://github.com/onnx/onnx/blob/main/docs/Operators.md#OneHot
 
 // T1: indices, T2: depth, T3: values
 #define REG_TYPED_ONE_HOT_OP_V9_10(types_str, in_type, out_type, depth_type) \
diff --git a/onnxruntime/core/providers/cpu/tensor/scatter.cc b/onnxruntime/core/providers/cpu/tensor/scatter.cc
index 4c0957bbe9924..ae0fe2d5bad45 100644
--- a/onnxruntime/core/providers/cpu/tensor/scatter.cc
+++ b/onnxruntime/core/providers/cpu/tensor/scatter.cc
@@ -1,7 +1,7 @@
 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
 
-//https://github.com/onnx/onnx/blob/master/docs/Operators.md#Scatter
+//https://github.com/onnx/onnx/blob/main/docs/Operators.md#Scatter
 #include <type_traits>
 
 #include "gsl/gsl"
diff --git a/onnxruntime/core/providers/cuda/cu_inc/binary_elementwise_impl.cuh b/onnxruntime/core/providers/cuda/cu_inc/binary_elementwise_impl.cuh
index 1f76a6c096982..2949d1b62c135 100644
--- a/onnxruntime/core/providers/cuda/cu_inc/binary_elementwise_impl.cuh
+++ b/onnxruntime/core/providers/cuda/cu_inc/binary_elementwise_impl.cuh
@@ -32,7 +32,7 @@ __global__ void _BinaryElementWise(
     if (id < N) {
       CUDA_LONG lhs_index = (lhs_need_compute ? 0 : id);
       CUDA_LONG rhs_index = (rhs_need_compute ? 0 : id);
-      // compute indexes with broadcasting rules: https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md
+      // compute indexes with broadcasting rules: https://github.com/onnx/onnx/blob/main/docs/Broadcasting.md
       CUDA_LONG offset = id;
 #pragma unroll
       for (auto dim = 0; dim < fdm_output_strides.Capacity(); dim++) {
@@ -188,7 +188,7 @@ void BinaryElementWiseNoBroadcastImpl(
     size_t count) {
   if (count == 0)  // special case where there's a dim value of 0 in the output shape
     return;
-  
+
   #ifdef USE_ROCM
   const int num_elements_per_thread = 2;
   const int num_threads_per_block = 512;
diff --git a/onnxruntime/core/providers/cuda/math/softmax.cc b/onnxruntime/core/providers/cuda/math/softmax.cc
index 24d2515f5ae65..905df4ec1a8ba 100644
--- a/onnxruntime/core/providers/cuda/math/softmax.cc
+++ b/onnxruntime/core/providers/cuda/math/softmax.cc
@@ -116,8 +116,8 @@ Status Softmax<T>::ComputeInternal(OpKernelContext* ctx) const {
   std::vector<size_t> permutation(rank);
 
   // The "semantic" meaning of axis has changed in opset-13.
-  // Please compare: https://github.com/onnx/onnx/blob/master/docs/Operators.md#Softmax
-  // with https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Softmax-11 for detailed explanations
+  // Please compare: https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softmax
+  // with https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Softmax-11 for detailed explanations
   // To account for the opset-13 behavior, our plan will be to transpose the "axis" dim to the innermost dim
   // and perform softmax and then reverse the transpose. We can skip the transposing aspect if the axis is already
   // the innermost dim
diff --git a/onnxruntime/core/providers/cuda/tensor/expand_impl.cu b/onnxruntime/core/providers/cuda/tensor/expand_impl.cu
index fe7716696a0b1..cadc5dccc643d 100644
--- a/onnxruntime/core/providers/cuda/tensor/expand_impl.cu
+++ b/onnxruntime/core/providers/cuda/tensor/expand_impl.cu
@@ -59,7 +59,7 @@ __global__ void ExpandKernel(
 #pragma unroll
   for (int i = 0; i < NumElementsPerThread; i++) {
     if (id < N) {
-      // compute indexes with broadcasting rules: https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md
+      // compute indexes with broadcasting rules: https://github.com/onnx/onnx/blob/main/docs/Broadcasting.md
       CUDA_LONG index = 0;
       CUDA_LONG offset = id;
 #pragma unroll
diff --git a/onnxruntime/core/providers/cuda/tensor/where_impl.cu b/onnxruntime/core/providers/cuda/tensor/where_impl.cu
index 440a805d9a9b9..0fbd2062ca1b2 100644
--- a/onnxruntime/core/providers/cuda/tensor/where_impl.cu
+++ b/onnxruntime/core/providers/cuda/tensor/where_impl.cu
@@ -35,7 +35,7 @@ __global__ void _TenaryElementWise(
 #pragma unroll
   for (int i = 0; i < NumElementsPerThread; i++) {
     if (id < N) {
-      // compute indexes with broadcasting rules: https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md
+      // compute indexes with broadcasting rules: https://github.com/onnx/onnx/blob/main/docs/Broadcasting.md
       CUDA_LONG cond_index = (CondIndexType == BroadcastIndexType::NoBroadcast ? id : 0);
       CUDA_LONG x_index = (XIndexType == BroadcastIndexType::NoBroadcast ? id : 0);
       CUDA_LONG y_index = (YIndexType == BroadcastIndexType::NoBroadcast ? id : 0);
diff --git a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorValueScale2D.cpp b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorValueScale2D.cpp
index 3dda22db9b439..6dc039e468022 100644
--- a/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorValueScale2D.cpp
+++ b/onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorValueScale2D.cpp
@@ -6,7 +6,7 @@
 namespace Dml
 {
 
-// https://github.com/onnx/onnx/blob/master/docs/Operators.md#experimental-imagescaler
+// https://github.com/onnx/onnx/blob/main/docs/Operators.md#experimental-imagescaler
 class DmlOperatorValueScale2d : public DmlOperator
 {
 public:
diff --git a/onnxruntime/core/providers/nuphar/scripts/model_editor.py b/onnxruntime/core/providers/nuphar/scripts/model_editor.py
index c4d7d7913ed6c..09fbec5899f35 100644
--- a/onnxruntime/core/providers/nuphar/scripts/model_editor.py
+++ b/onnxruntime/core/providers/nuphar/scripts/model_editor.py
@@ -182,7 +182,7 @@ def _bidirectional(outputs, axis, hook_output_name):
 def convert_loop_to_scan(node, out_main_graph, keep_unconvertible_loop_ops):
     assert node.op_type == "Loop"
 
-    # https://github.com/onnx/onnx/blob/master/docs/Operators.md#inputs-2---
+    # https://github.com/onnx/onnx/blob/main/docs/Operators.md#inputs-2---
     initial_state_names = node.input[2:]  # exclude M and cond.
 
     loop_subgraph_input_i = node.attribute[0].g.input[0]
diff --git a/onnxruntime/core/providers/rocm/math/softmax.cc b/onnxruntime/core/providers/rocm/math/softmax.cc
index aa6ff81c31692..9b0fd57e5182c 100644
--- a/onnxruntime/core/providers/rocm/math/softmax.cc
+++ b/onnxruntime/core/providers/rocm/math/softmax.cc
@@ -117,8 +117,8 @@ Status Softmax<T>::ComputeInternal(OpKernelContext* ctx) const {
   std::vector<size_t> permutation(rank);
 
   // The "semantic" meaning of axis has changed in opset-13.
-  // Please compare: https://github.com/onnx/onnx/blob/master/docs/Operators.md#Softmax
-  // with https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Softmax-11 for detailed explanations
+  // Please compare: https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softmax
+  // with https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Softmax-11 for detailed explanations
   // To account for the opset-13 behavior, our plan will be to transpose the "axis" dim to the innermost dim
   // and perform softmax and then reverse the transpose. We can skip the transposing aspect if the axis is already
   // the innermost dim
diff --git a/onnxruntime/core/providers/xnnpack/nn/softmax.cc b/onnxruntime/core/providers/xnnpack/nn/softmax.cc
index 4601a1e65927a..fd66fb8ba0e3f 100644
--- a/onnxruntime/core/providers/xnnpack/nn/softmax.cc
+++ b/onnxruntime/core/providers/xnnpack/nn/softmax.cc
@@ -138,8 +138,8 @@ Softmax::Softmax(const OpKernelInfo& info) : OpKernel{info} {
   Status status = info.GetAttr<int64_t>("axis", &axis);
   // our op checker function has ensured that axis must be the last dim
   // The "semantic" meaning of axis has changed in opset-13.
-  // Please compare: https://github.com/onnx/onnx/blob/master/docs/Operators.md#Softmax
-  // with https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Softmax-11 for detailed explanations
+  // Please compare: https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softmax
+  // with https://github.com/onnx/onnx/blob/main/docs/Changelog.md#Softmax-11 for detailed explanations
   if (status.IsOK()) {
     axis_ = gsl::narrow_cast<int>(axis);
   } else {
diff --git a/onnxruntime/python/backend/backend.py b/onnxruntime/python/backend/backend.py
index cfb5231173575..99592e3d5cf3e 100644
--- a/onnxruntime/python/backend/backend.py
+++ b/onnxruntime/python/backend/backend.py
@@ -20,7 +20,7 @@
 class OnnxRuntimeBackend(Backend):
     """
     Implements
-    `ONNX's backend API <https://github.com/onnx/onnx/blob/master/docs/ImplementingAnOnnxBackend.md>`_
+    `ONNX's backend API <https://github.com/onnx/onnx/blob/main/docs/ImplementingAnOnnxBackend.md>`_
     with *ONNX Runtime*.
     The backend is mostly used when you need to switch between
     multiple runtimes with the same API.
diff --git a/onnxruntime/python/tools/quantization/quant_utils.py b/onnxruntime/python/tools/quantization/quant_utils.py
index dd4f0edce5d84..eeef048378538 100644
--- a/onnxruntime/python/tools/quantization/quant_utils.py
+++ b/onnxruntime/python/tools/quantization/quant_utils.py
@@ -306,7 +306,7 @@ def attribute_to_kwarg(attribute):
         raise ValueError("attribute {} does not have type specified.".format(attribute.name))
 
     # Based on attribute type definitions from AttributeProto
-    # definition in https://github.com/onnx/onnx/blob/master/onnx/onnx.proto
+    # definition in https://github.com/onnx/onnx/blob/main/onnx/onnx.proto
     if attribute.type == 1:
         value = attribute.f
     elif attribute.type == 2:
diff --git a/onnxruntime/test/providers/cpu/math/hardmax_test.cc b/onnxruntime/test/providers/cpu/math/hardmax_test.cc
index ee5b4aaa39802..2fd450d05e093 100644
--- a/onnxruntime/test/providers/cpu/math/hardmax_test.cc
+++ b/onnxruntime/test/providers/cpu/math/hardmax_test.cc
@@ -33,7 +33,7 @@ static void RunTest(const std::vector<float>& x_vals,
 }
 
 TEST(HardmaxOperator, Simple) {
-  // https://github.com/onnx/onnx/blob/master/docs/Operators.md#Hardmax
+  // https://github.com/onnx/onnx/blob/main/docs/Operators.md#Hardmax
   std::vector<float> x_vals = {-1.0f, 0.0f, 1.0f};
   std::vector<float> expected_vals = {0.0f, 0.0f, 1.0f};
   std::vector<int64_t> dimensions = {1, 3};
diff --git a/onnxruntime/test/providers/cpu/math/logsoftmax_test.cc b/onnxruntime/test/providers/cpu/math/logsoftmax_test.cc
index 18825f4083020..c6037e92dcb24 100644
--- a/onnxruntime/test/providers/cpu/math/logsoftmax_test.cc
+++ b/onnxruntime/test/providers/cpu/math/logsoftmax_test.cc
@@ -39,7 +39,7 @@ static void RunTest(const std::vector<float>& x_vals,
 }
 
 TEST(LogSoftmaxOperator, Simple) {
-  // https://github.com/onnx/onnx/blob/master/docs/Operators.md#LogSoftmax
+  // https://github.com/onnx/onnx/blob/main/docs/Operators.md#LogSoftmax
   // x = np.array([[-1, 0, 1]]).astype(np.float32)
   // # expected output[[-2.40760589, -1.40760589, -0.40760589]]
 
diff --git a/onnxruntime/test/providers/cpu/math/softmax_test.cc b/onnxruntime/test/providers/cpu/math/softmax_test.cc
index b821b16bdaeb3..14fa4ada98376 100644
--- a/onnxruntime/test/providers/cpu/math/softmax_test.cc
+++ b/onnxruntime/test/providers/cpu/math/softmax_test.cc
@@ -35,7 +35,7 @@ static void RunTest(const std::vector<float>& x_vals,
 }
 
 TEST(SoftmaxOperator, Simple) {
-  // https://github.com/onnx/onnx/blob/master/docs/Operators.md#Softmax
+  // https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softmax
   //    x = np.array([[-1, 0, 1]]).astype(np.float32)
   //    y = np.exp(x) / np.sum(np.exp(x), axis = 1) #expected output[[0.09003058, 0.24472848, 0.66524094]]
 
@@ -71,7 +71,7 @@ TEST(SoftmaxOperator, Simple_fp16) {
 
   test.AddInput<MLFloat16>("X", dimensions, f_X);
   test.AddOutput<MLFloat16>("Y", dimensions, f_Y);
-  test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider, kOpenVINOExecutionProvider});  
+  test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider, kOpenVINOExecutionProvider});
 }
 #endif
 
@@ -96,7 +96,7 @@ TEST(SoftmaxOperator, Simple_bfloat16) {
   execution_providers.push_back(DefaultCudaExecutionProvider());
 #elif USE_ROCM
   execution_providers.push_back(DefaultRocmExecutionProvider());
-#endif 
+#endif
   test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
 }
 #endif
diff --git a/orttraining/orttraining/python/training/_utils.py b/orttraining/orttraining/python/training/_utils.py
index 979ecfbde61a7..099a29764839f 100644
--- a/orttraining/orttraining/python/training/_utils.py
+++ b/orttraining/orttraining/python/training/_utils.py
@@ -113,7 +113,7 @@ def dtype_torch_to_numpy(torch_dtype):
 def dtype_onnx_to_torch(onnx_type):
     """Converts ONNX types to PyTorch types
 
-    Reference: https://github.com/onnx/onnx/blob/master/onnx/onnx.in.proto (enum DataType)
+    Reference: https://github.com/onnx/onnx/blob/main/onnx/onnx.in.proto (enum DataType)
                https://pytorch.org/docs/stable/tensors.html
     """
     onnx_types = [
diff --git a/orttraining/orttraining/training_ops/cuda/math/div_grad.cc b/orttraining/orttraining/training_ops/cuda/math/div_grad.cc
index effd2df123659..82764574a6382 100644
--- a/orttraining/orttraining/training_ops/cuda/math/div_grad.cc
+++ b/orttraining/orttraining/training_ops/cuda/math/div_grad.cc
@@ -30,7 +30,7 @@ TensorShapeVector prepended_dimension_1(const TensorShape& shape, size_t total_r
 
   TensorShapeVector dims(total_rank, 1);
 
-  // https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md
+  // https://github.com/onnx/onnx/blob/main/docs/Broadcasting.md
   // for property 3 of Multidirectional Broadcasting, we need to prepended with a dimension of length 1.
   if (input_rank > 0)
     std::copy(shape.GetDims().begin(), shape.GetDims().end(), &dims[total_rank - input_rank]);
diff --git a/orttraining/orttraining/training_ops/rocm/math/div_grad.cc b/orttraining/orttraining/training_ops/rocm/math/div_grad.cc
index 02e8e62af8d2f..3f0b00e17a5c2 100644
--- a/orttraining/orttraining/training_ops/rocm/math/div_grad.cc
+++ b/orttraining/orttraining/training_ops/rocm/math/div_grad.cc
@@ -30,7 +30,7 @@ TensorShapeVector prepended_dimension_1(const TensorShape& shape, size_t total_r
 
   TensorShapeVector dims(total_rank, 1);
 
-  // https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md
+  // https://github.com/onnx/onnx/blob/main/docs/Broadcasting.md
   // for property 3 of Multidirectional Broadcasting, we need to prepended with a dimension of length 1.
   if (input_rank > 0)
     std::copy(shape.GetDims().cbegin(), shape.GetDims().cend(), &dims[total_rank - input_rank]);
diff --git a/winml/lib/Api/impl/FeatureCompatibility.h b/winml/lib/Api/impl/FeatureCompatibility.h
index 1e8f818669f91..014fe1c9b9a4a 100644
--- a/winml/lib/Api/impl/FeatureCompatibility.h
+++ b/winml/lib/Api/impl/FeatureCompatibility.h
@@ -349,7 +349,7 @@ void verify<K::Tensor, K::Image>(
         1. Image metadata does not exist: We should be tolerant to the models that does not have Image Metadata.
             In this case, user can still pass in ImageFeatureValue as long as it meets the requirement for image tensorization
         2. Model may have Image metadata that values that we do not support. In this case we should reject binding ImageFeatureValue
-           https://github.com/onnx/onnx/blob/master/docs/MetadataProps.md
+           https://github.com/onnx/onnx/blob/main/docs/MetadataProps.md
            Supported metadata values in RS5
                - Image.BitmapPixelFormat: Gray8, RGB8, BGR8
                - Image.ColorSpaceGamma: SRGB
diff --git a/winml/test/image/README.md b/winml/test/image/README.md
index 2b44b9a396ad9..dacd3c1646848 100644
--- a/winml/test/image/README.md
+++ b/winml/test/image/README.md
@@ -46,7 +46,7 @@ To make image related tests data driven and increase test code coverage.
 ### 4. Models
 > Des: Currently, we are using four models, FNS-candy_Bgr8_freeDimInput, FNS-candy_Bgr8, FNS-candy_Rgb8, and FNS-candy_Tensor. We would try to get more models to cover the following listed cases.
 
-a. [Input Image Metadata](https://github.com/onnx/onnx/blob/master/docs/MetadataProps.md)
+a. [Input Image Metadata](https://github.com/onnx/onnx/blob/main/docs/MetadataProps.md)
 
 1.  No metadata provided (**TODO**)
 2. BitmapPixelFormat