From 23f7c1c088dfa76cf9b9c9afb89d602cb8b7fdb2 Mon Sep 17 00:00:00 2001 From: Jing Xu Date: Tue, 19 Sep 2023 06:10:27 +0900 Subject: [PATCH] update download links (#2070) * update download links * update download links --- cpu/1.11.200+cpu/_sources/tutorials/installation.md.txt | 6 +++--- cpu/1.11.200+cpu/tutorials/installation.html | 6 +++--- cpu/1.12.0+cpu/_sources/tutorials/installation.md.txt | 6 +++--- cpu/1.12.0+cpu/tutorials/installation.html | 6 +++--- cpu/1.12.100+cpu/_sources/tutorials/installation.md.txt | 6 +++--- cpu/1.12.100+cpu/tutorials/installation.html | 6 +++--- cpu/1.12.300+cpu/_sources/tutorials/installation.md.txt | 6 +++--- cpu/1.12.300+cpu/tutorials/installation.html | 6 +++--- cpu/1.13.0+cpu/_sources/tutorials/installation.md.txt | 4 ++-- cpu/1.13.0+cpu/tutorials/installation.html | 4 ++-- cpu/1.13.100+cpu/_sources/tutorials/installation.md.txt | 4 ++-- cpu/1.13.100+cpu/tutorials/installation.html | 4 ++-- cpu/2.0.0+cpu/_sources/tutorials/installation.md.txt | 4 ++-- cpu/2.0.0+cpu/tutorials/installation.html | 4 ++-- cpu/2.0.100+cpu/_sources/tutorials/installation.md.txt | 4 ++-- cpu/2.0.100+cpu/tutorials/installation.html | 4 ++-- xpu/1.10.200+gpu/_sources/tutorials/installation.md.txt | 4 ++-- xpu/1.10.200+gpu/tutorials/installation.html | 4 ++-- xpu/1.13.10+xpu/_sources/tutorials/features/DDP.md.txt | 6 +++--- xpu/1.13.10+xpu/_sources/tutorials/getting_started.md.txt | 2 +- xpu/1.13.10+xpu/_sources/tutorials/installation.md.txt | 4 ++-- .../tutorials/performance_tuning/known_issues.md.txt | 2 +- xpu/1.13.10+xpu/tutorials/features/DDP.html | 6 +++--- xpu/1.13.10+xpu/tutorials/getting_started.html | 2 +- xpu/1.13.10+xpu/tutorials/installation.html | 4 ++-- .../tutorials/performance_tuning/known_issues.html | 2 +- xpu/1.13.120+xpu/_sources/tutorials/features/DDP.md.txt | 6 +++--- xpu/1.13.120+xpu/_sources/tutorials/getting_started.md.txt | 2 +- xpu/1.13.120+xpu/_sources/tutorials/installation.md.txt | 4 ++-- .../tutorials/performance_tuning/known_issues.md.txt | 2 +- xpu/1.13.120+xpu/tutorials/features/DDP.html | 6 +++--- xpu/1.13.120+xpu/tutorials/getting_started.html | 2 +- xpu/1.13.120+xpu/tutorials/installation.html | 4 ++-- .../tutorials/performance_tuning/known_issues.html | 2 +- xpu/2.0.110+xpu/_sources/tutorials/cheat_sheet.md.txt | 2 +- xpu/2.0.110+xpu/_sources/tutorials/features/DDP.md.txt | 6 +++--- .../_sources/tutorials/installations/linux.rst.txt | 4 ++-- .../_sources/tutorials/installations/windows.rst.txt | 2 +- .../tutorials/performance_tuning/known_issues.md.txt | 2 +- xpu/2.0.110+xpu/tutorials/cheat_sheet.html | 2 +- xpu/2.0.110+xpu/tutorials/features/DDP.html | 6 +++--- xpu/2.0.110+xpu/tutorials/installations/linux.html | 4 ++-- xpu/2.0.110+xpu/tutorials/installations/windows.html | 2 +- .../tutorials/performance_tuning/known_issues.html | 2 +- 44 files changed, 88 insertions(+), 88 deletions(-) diff --git a/cpu/1.11.200+cpu/_sources/tutorials/installation.md.txt b/cpu/1.11.200+cpu/_sources/tutorials/installation.md.txt index ccd4728ff..c2d1fc4f9 100644 --- a/cpu/1.11.200+cpu/_sources/tutorials/installation.md.txt +++ b/cpu/1.11.200+cpu/_sources/tutorials/installation.md.txt @@ -61,13 +61,13 @@ python -m pip install intel_extension_for_pytorch Alternatively, you can also install the latest version with the following commands: ``` -python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable +python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us ``` For pre-built wheel files with oneDNN Graph Compiler, please use the following command to perform the installation. ``` -python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-dev +python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=dev&device=cpu&repo=us ``` **Note:** For version prior to 1.10.0, please use package name `torch_ipex`, rather than `intel_extension_for_pytorch`. @@ -75,7 +75,7 @@ python -m pip install intel_extension_for_pytorch -f https://developer.intel.com **Note:** To install a package with a specific version, please run with the following command. ``` -python -m pip install == -f https://developer.intel.com/ipex-whl-stable +python -m pip install == -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us ``` ## Install via source compilation diff --git a/cpu/1.11.200+cpu/tutorials/installation.html b/cpu/1.11.200+cpu/tutorials/installation.html index 4545d6842..6fee9a0da 100644 --- a/cpu/1.11.200+cpu/tutorials/installation.html +++ b/cpu/1.11.200+cpu/tutorials/installation.html @@ -242,17 +242,17 @@

Install via wheel file

Alternatively, you can also install the latest version with the following commands:

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
For pre-built wheel files with oneDNN Graph Compiler, please use the following command to perform the installation.
 

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-dev
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=dev&device=cpu&repo=us
 

 

 
Note: For version prior to 1.10.0, please use package name torch_ipex, rather than intel_extension_for_pytorch.

 
Note: To install a package with a specific version, please run with the following command.

-
python -m pip install <package_name>==<version_name> -f https://developer.intel.com/ipex-whl-stable
+
python -m pip install <package_name>==<version_name> -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
diff --git a/cpu/1.12.0+cpu/_sources/tutorials/installation.md.txt b/cpu/1.12.0+cpu/_sources/tutorials/installation.md.txt
index 1a3ace92d..024436281 100644
--- a/cpu/1.12.0+cpu/_sources/tutorials/installation.md.txt
+++ b/cpu/1.12.0+cpu/_sources/tutorials/installation.md.txt
@@ -63,13 +63,13 @@ python -m pip install intel_extension_for_pytorch
 Alternatively, you can also install the latest version with the following commands:
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 For pre-built wheel files with oneDNN Graph Compiler, use the following command to perform the installation.
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-dev
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=dev&device=cpu&repo=us
 ```
 
 **Note:** For versions before 1.10.0, use package name `torch_ipex`, rather than `intel_extension_for_pytorch`.
@@ -77,7 +77,7 @@ python -m pip install intel_extension_for_pytorch -f https://developer.intel.com
 **Note:** To install a package with a specific version, run with the following command:
 
 ```
-python -m pip install == -f https://developer.intel.com/ipex-whl-stable
+python -m pip install == -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 ## Install via source compilation
diff --git a/cpu/1.12.0+cpu/tutorials/installation.html b/cpu/1.12.0+cpu/tutorials/installation.html
index ae75213da..c15d5f267 100644
--- a/cpu/1.12.0+cpu/tutorials/installation.html
+++ b/cpu/1.12.0+cpu/tutorials/installation.html
@@ -254,17 +254,17 @@ 
Install via wheel file

 

 
Alternatively, you can also install the latest version with the following commands:

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
For pre-built wheel files with oneDNN Graph Compiler, use the following command to perform the installation.
 

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-dev
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=dev&device=cpu&repo=us
 

 

 
Note: For versions before 1.10.0, use package name torch_ipex, rather than intel_extension_for_pytorch.

 
Note: To install a package with a specific version, run with the following command:

-
python -m pip install <package_name>==<version_name> -f https://developer.intel.com/ipex-whl-stable
+
python -m pip install <package_name>==<version_name> -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
diff --git a/cpu/1.12.100+cpu/_sources/tutorials/installation.md.txt b/cpu/1.12.100+cpu/_sources/tutorials/installation.md.txt
index 4453f67d0..ab99716ab 100644
--- a/cpu/1.12.100+cpu/_sources/tutorials/installation.md.txt
+++ b/cpu/1.12.100+cpu/_sources/tutorials/installation.md.txt
@@ -64,13 +64,13 @@ python -m pip install intel_extension_for_pytorch
 Alternatively, you can also install the latest version with the following commands:
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 For pre-built wheel files with oneDNN Graph Compiler, use the following command to perform the installation.
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-dev
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=dev&device=cpu&repo=us
 ```
 
 **Note:** For versions before 1.10.0, use package name `torch_ipex`, rather than `intel_extension_for_pytorch`.
@@ -78,7 +78,7 @@ python -m pip install intel_extension_for_pytorch -f https://developer.intel.com
 **Note:** To install a package with a specific version, run with the following command:
 
 ```
-python -m pip install == -f https://developer.intel.com/ipex-whl-stable
+python -m pip install == -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 ## Install via source compilation
diff --git a/cpu/1.12.100+cpu/tutorials/installation.html b/cpu/1.12.100+cpu/tutorials/installation.html
index 5b6958fb7..a810af9b9 100644
--- a/cpu/1.12.100+cpu/tutorials/installation.html
+++ b/cpu/1.12.100+cpu/tutorials/installation.html
@@ -262,17 +262,17 @@ 
Install via wheel file

 

 
Alternatively, you can also install the latest version with the following commands:

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
For pre-built wheel files with oneDNN Graph Compiler, use the following command to perform the installation.
 

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-dev
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=dev&device=cpu&repo=us
 

 

 
Note: For versions before 1.10.0, use package name torch_ipex, rather than intel_extension_for_pytorch.

 
Note: To install a package with a specific version, run with the following command:

-
python -m pip install <package_name>==<version_name> -f https://developer.intel.com/ipex-whl-stable
+
python -m pip install <package_name>==<version_name> -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
diff --git a/cpu/1.12.300+cpu/_sources/tutorials/installation.md.txt b/cpu/1.12.300+cpu/_sources/tutorials/installation.md.txt
index 9ced63c52..20738eb12 100644
--- a/cpu/1.12.300+cpu/_sources/tutorials/installation.md.txt
+++ b/cpu/1.12.300+cpu/_sources/tutorials/installation.md.txt
@@ -67,13 +67,13 @@ python -m pip install intel_extension_for_pytorch
 Alternatively, you can also install the latest version with the following commands:
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 For pre-built wheel files with oneDNN Graph Compiler, use the following command to perform the installation.
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-dev
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=dev&device=cpu&repo=us
 ```
 
 **Note:** For versions before 1.10.0, use package name `torch_ipex`, rather than `intel_extension_for_pytorch`.
@@ -81,7 +81,7 @@ python -m pip install intel_extension_for_pytorch -f https://developer.intel.com
 **Note:** To install a package with a specific version, run with the following command:
 
 ```
-python -m pip install == -f https://developer.intel.com/ipex-whl-stable
+python -m pip install == -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 ## Install via source compilation
diff --git a/cpu/1.12.300+cpu/tutorials/installation.html b/cpu/1.12.300+cpu/tutorials/installation.html
index 8249af05c..742854092 100644
--- a/cpu/1.12.300+cpu/tutorials/installation.html
+++ b/cpu/1.12.300+cpu/tutorials/installation.html
@@ -274,17 +274,17 @@ 
Install via wheel file

 

 
Alternatively, you can also install the latest version with the following commands:

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
For pre-built wheel files with oneDNN Graph Compiler, use the following command to perform the installation.
 

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-dev
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=dev&device=cpu&repo=us
 

 

 
Note: For versions before 1.10.0, use package name torch_ipex, rather than intel_extension_for_pytorch.

 
Note: To install a package with a specific version, run with the following command:

-
python -m pip install <package_name>==<version_name> -f https://developer.intel.com/ipex-whl-stable
+
python -m pip install <package_name>==<version_name> -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
diff --git a/cpu/1.13.0+cpu/_sources/tutorials/installation.md.txt b/cpu/1.13.0+cpu/_sources/tutorials/installation.md.txt
index 3abf1c548..01737967c 100644
--- a/cpu/1.13.0+cpu/_sources/tutorials/installation.md.txt
+++ b/cpu/1.13.0+cpu/_sources/tutorials/installation.md.txt
@@ -69,7 +69,7 @@ python -m pip install intel_extension_for_pytorch
 Alternatively, you can also install the latest version with the following commands:
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable-cpu
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 **Note:** For versions before 1.10.0, use package name `torch_ipex`, rather than `intel_extension_for_pytorch`.
@@ -77,7 +77,7 @@ python -m pip install intel_extension_for_pytorch -f https://developer.intel.com
 **Note:** To install a package with a specific version, run with the following command:
 
 ```
-python -m pip install == -f https://developer.intel.com/ipex-whl-stable-cpu
+python -m pip install == -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 ## Install via source compilation
diff --git a/cpu/1.13.0+cpu/tutorials/installation.html b/cpu/1.13.0+cpu/tutorials/installation.html
index f5b8bc454..91f5c2e4e 100644
--- a/cpu/1.13.0+cpu/tutorials/installation.html
+++ b/cpu/1.13.0+cpu/tutorials/installation.html
@@ -286,12 +286,12 @@ 
Install via wheel file

 

 
Alternatively, you can also install the latest version with the following commands:

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable-cpu
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
Note: For versions before 1.10.0, use package name torch_ipex, rather than intel_extension_for_pytorch.

 
Note: To install a package with a specific version, run with the following command:

-
python -m pip install <package_name>==<version_name> -f https://developer.intel.com/ipex-whl-stable-cpu
+
python -m pip install <package_name>==<version_name> -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
diff --git a/cpu/1.13.100+cpu/_sources/tutorials/installation.md.txt b/cpu/1.13.100+cpu/_sources/tutorials/installation.md.txt
index bc01e5b4e..a463ff982 100644
--- a/cpu/1.13.100+cpu/_sources/tutorials/installation.md.txt
+++ b/cpu/1.13.100+cpu/_sources/tutorials/installation.md.txt
@@ -70,7 +70,7 @@ python -m pip install intel_extension_for_pytorch
 Alternatively, you can also install the latest version with the following commands:
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable-cpu
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 **Note:** For versions before 1.10.0, use package name `torch_ipex`, rather than `intel_extension_for_pytorch`.
@@ -78,7 +78,7 @@ python -m pip install intel_extension_for_pytorch -f https://developer.intel.com
 **Note:** To install a history package with a specific version, run with the following command:
 
 ```
-python -m pip install == -f https://developer.intel.com/ipex-whl-stable-cpu
+python -m pip install == -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 ## Install via source compilation
diff --git a/cpu/1.13.100+cpu/tutorials/installation.html b/cpu/1.13.100+cpu/tutorials/installation.html
index a96d87066..ea0a2ddcb 100644
--- a/cpu/1.13.100+cpu/tutorials/installation.html
+++ b/cpu/1.13.100+cpu/tutorials/installation.html
@@ -295,12 +295,12 @@ 
Install via wheel file

 

 
Alternatively, you can also install the latest version with the following commands:

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable-cpu
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
Note: For versions before 1.10.0, use package name torch_ipex, rather than intel_extension_for_pytorch.

 
Note: To install a history package with a specific version, run with the following command:

-
python -m pip install <package_name>==<version_name> -f https://developer.intel.com/ipex-whl-stable-cpu
+
python -m pip install <package_name>==<version_name> -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
diff --git a/cpu/2.0.0+cpu/_sources/tutorials/installation.md.txt b/cpu/2.0.0+cpu/_sources/tutorials/installation.md.txt
index fa417bd7a..2bade9c51 100644
--- a/cpu/2.0.0+cpu/_sources/tutorials/installation.md.txt
+++ b/cpu/2.0.0+cpu/_sources/tutorials/installation.md.txt
@@ -72,7 +72,7 @@ python -m pip install intel_extension_for_pytorch
 Alternatively, you can also install the latest version with the following commands:
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable-cpu
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 **Note:** For versions before 1.10.0, use package name `torch_ipex`, rather than `intel_extension_for_pytorch`.
@@ -80,7 +80,7 @@ python -m pip install intel_extension_for_pytorch -f https://developer.intel.com
 **Note:** To install a history package with a specific version, run with the following command:
 
 ```
-python -m pip install == -f https://developer.intel.com/ipex-whl-stable-cpu
+python -m pip install == -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 ## Install via source compilation
diff --git a/cpu/2.0.0+cpu/tutorials/installation.html b/cpu/2.0.0+cpu/tutorials/installation.html
index a9d852674..c6ba5877e 100644
--- a/cpu/2.0.0+cpu/tutorials/installation.html
+++ b/cpu/2.0.0+cpu/tutorials/installation.html
@@ -320,12 +320,12 @@ 
Install via wheel file

 

 
Alternatively, you can also install the latest version with the following commands:

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable-cpu
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
Note: For versions before 1.10.0, use package name torch_ipex, rather than intel_extension_for_pytorch.

 
Note: To install a history package with a specific version, run with the following command:

-
python -m pip install <package_name>==<version_name> -f https://developer.intel.com/ipex-whl-stable-cpu
+
python -m pip install <package_name>==<version_name> -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
diff --git a/cpu/2.0.100+cpu/_sources/tutorials/installation.md.txt b/cpu/2.0.100+cpu/_sources/tutorials/installation.md.txt
index 2df7f781c..2b1b98b73 100644
--- a/cpu/2.0.100+cpu/_sources/tutorials/installation.md.txt
+++ b/cpu/2.0.100+cpu/_sources/tutorials/installation.md.txt
@@ -73,7 +73,7 @@ python -m pip install intel_extension_for_pytorch
 Alternatively, you can also install the latest version with the following commands:
 
 ```
-python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable-cpu
+python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 **Note:** For versions before 1.10.0, use package name `torch_ipex`, rather than `intel_extension_for_pytorch`.
@@ -81,7 +81,7 @@ python -m pip install intel_extension_for_pytorch -f https://developer.intel.com
 **Note:** To install a history package with a specific version, run with the following command:
 
 ```
-python -m pip install == -f https://developer.intel.com/ipex-whl-stable-cpu
+python -m pip install == -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 ```
 
 ## Install via source compilation
diff --git a/cpu/2.0.100+cpu/tutorials/installation.html b/cpu/2.0.100+cpu/tutorials/installation.html
index df23bf044..a5ad2c60b 100644
--- a/cpu/2.0.100+cpu/tutorials/installation.html
+++ b/cpu/2.0.100+cpu/tutorials/installation.html
@@ -329,12 +329,12 @@ 
Install via wheel file

 

 
Alternatively, you can also install the latest version with the following commands:

-
python -m pip install intel_extension_for_pytorch -f https://developer.intel.com/ipex-whl-stable-cpu
+
python -m pip install intel_extension_for_pytorch -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
Note: For versions before 1.10.0, use package name torch_ipex, rather than intel_extension_for_pytorch.

 
Note: To install a history package with a specific version, run with the following command:

-
python -m pip install <package_name>==<version_name> -f https://developer.intel.com/ipex-whl-stable-cpu
+
python -m pip install <package_name>==<version_name> -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 

 

 
diff --git a/xpu/1.10.200+gpu/_sources/tutorials/installation.md.txt b/xpu/1.10.200+gpu/_sources/tutorials/installation.md.txt
index 315da90b6..936366432 100644
--- a/xpu/1.10.200+gpu/_sources/tutorials/installation.md.txt
+++ b/xpu/1.10.200+gpu/_sources/tutorials/installation.md.txt
@@ -59,7 +59,7 @@ Prebuilt wheel files availability matrix for Python versions:
 ### Install PyTorch
 
 ```bash
-python -m pip install torch==1.10.0a0 -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install torch==1.10.0a0 -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 ```
 
 ### Install Numpy
@@ -87,7 +87,7 @@ For torchaudio installation, please follow the [instructions](https://github.com
 ### Install Intel® Extension for PyTorch\*
 
 ```bash
-python -m pip install intel_extension_for_pytorch==1.10.200+gpu -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install intel_extension_for_pytorch==1.10.200+gpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 ```
 
 ## Install via compiling from source
diff --git a/xpu/1.10.200+gpu/tutorials/installation.html b/xpu/1.10.200+gpu/tutorials/installation.html
index d71511a4d..e270530d1 100644
--- a/xpu/1.10.200+gpu/tutorials/installation.html
+++ b/xpu/1.10.200+gpu/tutorials/installation.html
@@ -209,7 +209,7 @@ 
Install via wheel files
 

 
Install PyTorch

-
python -m pip install torch==1.10.0a0 -f https://developer.intel.com/ipex-whl-stable-xpu
+
python -m pip install torch==1.10.0a0 -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 

 

 

@@ -233,7 +233,7 @@ 
Install torchvision and torchaudio (Optional)
 
Install Intel® Extension for PyTorch*

-
python -m pip install intel_extension_for_pytorch==1.10.200+gpu -f https://developer.intel.com/ipex-whl-stable-xpu
+
python -m pip install intel_extension_for_pytorch==1.10.200+gpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 

 

 
diff --git a/xpu/1.13.10+xpu/_sources/tutorials/features/DDP.md.txt b/xpu/1.13.10+xpu/_sources/tutorials/features/DDP.md.txt
index d5d116f51..0ddd070b8 100644
--- a/xpu/1.13.10+xpu/_sources/tutorials/features/DDP.md.txt
+++ b/xpu/1.13.10+xpu/_sources/tutorials/features/DDP.md.txt
@@ -46,11 +46,11 @@ Prebuilt wheel files for CPU, GPU with generic Python\* and GPU with Intel® Dis
 
 ```
 # Generic Python* for CPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-cpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 # Generic Python* for GPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 # Intel® Distribution for Python*
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu-idp
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 ```
 
 Installation from either repository shares the command below. Replace the place holder `` with a real URL mentioned above.
diff --git a/xpu/1.13.10+xpu/_sources/tutorials/getting_started.md.txt b/xpu/1.13.10+xpu/_sources/tutorials/getting_started.md.txt
index 008db07c7..6aeafc9cf 100644
--- a/xpu/1.13.10+xpu/_sources/tutorials/getting_started.md.txt
+++ b/xpu/1.13.10+xpu/_sources/tutorials/getting_started.md.txt
@@ -5,7 +5,7 @@
 Prebuilt wheel files are released for multiple Python versions. You can install them simply with the following pip command.
 
 ```bash
-python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 ```
 
 You can run a simple sanity test to double confirm if the correct version is installed, and if the software stack can get correct hardware information onboard your system.
diff --git a/xpu/1.13.10+xpu/_sources/tutorials/installation.md.txt b/xpu/1.13.10+xpu/_sources/tutorials/installation.md.txt
index 685a78f78..2e9d27c6a 100644
--- a/xpu/1.13.10+xpu/_sources/tutorials/installation.md.txt
+++ b/xpu/1.13.10+xpu/_sources/tutorials/installation.md.txt
@@ -82,10 +82,10 @@ Prebuilt wheel files for generic Python\* and Intel® Distribution for Python\*
 
 ```bash
 # General Python*
-python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 
 # Intel® Distribution for Python*
-python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://developer.intel.com/ipex-whl-stable-xpu-idp
+python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 ```
 
 **Note:** Wheel files for Intel® Distribution for Python\* only supports Python 3.9. The support starts from 1.13.10+xpu.
diff --git a/xpu/1.13.10+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt b/xpu/1.13.10+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt
index 04e4f9504..7831eaf59 100644
--- a/xpu/1.13.10+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt
+++ b/xpu/1.13.10+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt
@@ -13,7 +13,7 @@ Known Issues
     ImportError: undefined symbol: _ZNK5torch8autograd4Node4nameB5cxx11Ev
     ```
     
-    DPC++ does not support `_GLIBCXX_USE_CXX11_ABI=0`, Intel® Extension for PyTorch\* is always compiled with `_GLIBCXX_USE_CXX11_ABI=1`. This symbol undefined issue appears when PyTorch\* is compiled with `_GLIBCXX_USE_CXX11_ABI=0`. Pass `export GLIBCXX_USE_CXX11_ABI=1` and compile PyTorch\* with particular compiler which supports `_GLIBCXX_USE_CXX11_ABI=1`. We recommend using prebuilt wheels in [download server](https://developer.intel.com/ipex-whl-stable-xpu) to avoid this issue.
+    DPC++ does not support `_GLIBCXX_USE_CXX11_ABI=0`, Intel® Extension for PyTorch\* is always compiled with `_GLIBCXX_USE_CXX11_ABI=1`. This symbol undefined issue appears when PyTorch\* is compiled with `_GLIBCXX_USE_CXX11_ABI=0`. Pass `export GLIBCXX_USE_CXX11_ABI=1` and compile PyTorch\* with particular compiler which supports `_GLIBCXX_USE_CXX11_ABI=1`. We recommend using prebuilt wheels in [download server](https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us) to avoid this issue.
 
 - Can't find oneMKL library when build Intel® Extension for PyTorch\* without oneMKL
 
diff --git a/xpu/1.13.10+xpu/tutorials/features/DDP.html b/xpu/1.13.10+xpu/tutorials/features/DDP.html
index 1eba2661a..aadd7be0c 100644
--- a/xpu/1.13.10+xpu/tutorials/features/DDP.html
+++ b/xpu/1.13.10+xpu/tutorials/features/DDP.html
@@ -157,11 +157,11 @@ 
Install from source:Install from prebuilt wheel:

 
Prebuilt wheel files for CPU, GPU with generic Python* and GPU with Intel® Distribution for Python* are released in separate repositories.

 
# Generic Python* for CPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-cpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 # Generic Python* for GPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 # Intel® Distribution for Python*
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu-idp
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 

 

 
Installation from either repository shares the command below. Replace the place holder <REPO_URL> with a real URL mentioned above.

diff --git a/xpu/1.13.10+xpu/tutorials/getting_started.html b/xpu/1.13.10+xpu/tutorials/getting_started.html
index 6d21466b7..3c6f98091 100644
--- a/xpu/1.13.10+xpu/tutorials/getting_started.html
+++ b/xpu/1.13.10+xpu/tutorials/getting_started.html
@@ -92,7 +92,7 @@ 
Getting Started
 
Installation

 
Prebuilt wheel files are released for multiple Python versions. You can install them simply with the following pip command.

-
python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+
python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 

 

 
You can run a simple sanity test to double confirm if the correct version is installed, and if the software stack can get correct hardware information onboard your system.

diff --git a/xpu/1.13.10+xpu/tutorials/installation.html b/xpu/1.13.10+xpu/tutorials/installation.html
index bdd3374e6..21da2c8b7 100644
--- a/xpu/1.13.10+xpu/tutorials/installation.html
+++ b/xpu/1.13.10+xpu/tutorials/installation.html
@@ -262,10 +262,10 @@ 
Install via wheel files

 
Prebuilt wheel files for generic Python* and Intel® Distribution for Python* are released in separate repositories.

 
# General Python*
-python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 
 # Intel® Distribution for Python*
-python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://developer.intel.com/ipex-whl-stable-xpu-idp
+python -m pip install torch==1.13.0a0 torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.10+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 

 

 
Note: Wheel files for Intel® Distribution for Python* only supports Python 3.9. The support starts from 1.13.10+xpu.

diff --git a/xpu/1.13.10+xpu/tutorials/performance_tuning/known_issues.html b/xpu/1.13.10+xpu/tutorials/performance_tuning/known_issues.html
index 10b02dc24..c6f184c04 100644
--- a/xpu/1.13.10+xpu/tutorials/performance_tuning/known_issues.html
+++ b/xpu/1.13.10+xpu/tutorials/performance_tuning/known_issues.html
@@ -105,7 +105,7 @@ 
Known Issues in GPU-Specific
ImportError: undefined symbol: _ZNK5torch8autograd4Node4nameB5cxx11Ev
 

 

-
DPC++ does not support _GLIBCXX_USE_CXX11_ABI=0, Intel® Extension for PyTorch* is always compiled with _GLIBCXX_USE_CXX11_ABI=1. This symbol undefined issue appears when PyTorch* is compiled with _GLIBCXX_USE_CXX11_ABI=0. Pass export GLIBCXX_USE_CXX11_ABI=1 and compile PyTorch* with particular compiler which supports _GLIBCXX_USE_CXX11_ABI=1. We recommend using prebuilt wheels in download server to avoid this issue.

+
DPC++ does not support _GLIBCXX_USE_CXX11_ABI=0, Intel® Extension for PyTorch* is always compiled with _GLIBCXX_USE_CXX11_ABI=1. This symbol undefined issue appears when PyTorch* is compiled with _GLIBCXX_USE_CXX11_ABI=0. Pass export GLIBCXX_USE_CXX11_ABI=1 and compile PyTorch* with particular compiler which supports _GLIBCXX_USE_CXX11_ABI=1. We recommend using prebuilt wheels in download server to avoid this issue.

 
 
  • Can’t find oneMKL library when build Intel® Extension for PyTorch* without oneMKL
    
 
    /usr/bin/ld: cannot find -lmkl_sycl
diff --git a/xpu/1.13.120+xpu/_sources/tutorials/features/DDP.md.txt b/xpu/1.13.120+xpu/_sources/tutorials/features/DDP.md.txt
index 56d7496a9..3c96b15a9 100644
--- a/xpu/1.13.120+xpu/_sources/tutorials/features/DDP.md.txt
+++ b/xpu/1.13.120+xpu/_sources/tutorials/features/DDP.md.txt
@@ -62,11 +62,11 @@ Prebuilt wheel files for CPU, GPU with generic Python\* and GPU with Intel® Dis
 
 ```
 # Generic Python* for CPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-cpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 # Generic Python* for GPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 # Intel® Distribution for Python*
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu-idp
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 ```
 
 Installation from either repository shares the command below. Replace the place holder `` with a real URL mentioned above.
diff --git a/xpu/1.13.120+xpu/_sources/tutorials/getting_started.md.txt b/xpu/1.13.120+xpu/_sources/tutorials/getting_started.md.txt
index 4a4487327..cc52f5f2f 100644
--- a/xpu/1.13.120+xpu/_sources/tutorials/getting_started.md.txt
+++ b/xpu/1.13.120+xpu/_sources/tutorials/getting_started.md.txt
@@ -5,7 +5,7 @@
 Prebuilt wheel files are released for multiple Python versions. You can install them simply with the following pip command.
 
 ```bash
-python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 ```
 
 You can run a simple sanity test to double confirm if the correct version is installed, and if the software stack can get correct hardware information onboard your system.
diff --git a/xpu/1.13.120+xpu/_sources/tutorials/installation.md.txt b/xpu/1.13.120+xpu/_sources/tutorials/installation.md.txt
index 6f4d09bc2..15da1ced7 100644
--- a/xpu/1.13.120+xpu/_sources/tutorials/installation.md.txt
+++ b/xpu/1.13.120+xpu/_sources/tutorials/installation.md.txt
@@ -93,10 +93,10 @@ Prebuilt wheel files for generic Python\* and Intel® Distribution for Python\*
 
 ```bash
 # General Python*
-python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 
 # Intel® Distribution for Python*
-python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://developer.intel.com/ipex-whl-stable-xpu-idp
+python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 ```
 
 **Note:** Wheel files for Intel® Distribution for Python\* only supports Python 3.9. The support starts from 1.13.10+xpu.
diff --git a/xpu/1.13.120+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt b/xpu/1.13.120+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt
index ab4079267..09ce6a1f5 100644
--- a/xpu/1.13.120+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt
+++ b/xpu/1.13.120+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt
@@ -29,7 +29,7 @@ Known Issues
   ImportError: undefined symbol: _ZNK5torch8autograd4Node4nameB5cxx11Ev
   ```
 
-  DPC++ does not support `_GLIBCXX_USE_CXX11_ABI=0`, Intel® Extension for PyTorch\* is always compiled with `_GLIBCXX_USE_CXX11_ABI=1`. This symbol undefined issue appears when PyTorch\* is compiled with `_GLIBCXX_USE_CXX11_ABI=0`. Pass `export GLIBCXX_USE_CXX11_ABI=1` and compile PyTorch\* with particular compiler which supports `_GLIBCXX_USE_CXX11_ABI=1`. We recommend using prebuilt wheels in [download server](https://developer.intel.com/ipex-whl-stable-xpu) to avoid this issue.
+  DPC++ does not support `_GLIBCXX_USE_CXX11_ABI=0`, Intel® Extension for PyTorch\* is always compiled with `_GLIBCXX_USE_CXX11_ABI=1`. This symbol undefined issue appears when PyTorch\* is compiled with `_GLIBCXX_USE_CXX11_ABI=0`. Pass `export GLIBCXX_USE_CXX11_ABI=1` and compile PyTorch\* with particular compiler which supports `_GLIBCXX_USE_CXX11_ABI=1`. We recommend using prebuilt wheels in [download server](https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us) to avoid this issue.
 
 ### Dependency Libraries
 
diff --git a/xpu/1.13.120+xpu/tutorials/features/DDP.html b/xpu/1.13.120+xpu/tutorials/features/DDP.html
index c82fb9186..7057737ae 100644
--- a/xpu/1.13.120+xpu/tutorials/features/DDP.html
+++ b/xpu/1.13.120+xpu/tutorials/features/DDP.html
@@ -170,11 +170,11 @@ 
    Install from source:Install from prebuilt wheel:
    
 
    Prebuilt wheel files for CPU, GPU with generic Python* and GPU with Intel® Distribution for Python* are released in separate repositories.
    
 
    # Generic Python* for CPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-cpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 # Generic Python* for GPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 # Intel® Distribution for Python*
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu-idp
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 
    
 
    
 
    Installation from either repository shares the command below. Replace the place holder <REPO_URL> with a real URL mentioned above.
    
diff --git a/xpu/1.13.120+xpu/tutorials/getting_started.html b/xpu/1.13.120+xpu/tutorials/getting_started.html
index 24c25dba8..cf0ee799a 100644
--- a/xpu/1.13.120+xpu/tutorials/getting_started.html
+++ b/xpu/1.13.120+xpu/tutorials/getting_started.html
@@ -91,7 +91,7 @@ 
    Getting Started
 
    Installation
    
 
    Prebuilt wheel files are released for multiple Python versions. You can install them simply with the following pip command.
    
-
    python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+
    python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 
    
 
    
 
    You can run a simple sanity test to double confirm if the correct version is installed, and if the software stack can get correct hardware information onboard your system.
    
diff --git a/xpu/1.13.120+xpu/tutorials/installation.html b/xpu/1.13.120+xpu/tutorials/installation.html
index fb58ddadc..6ba101a34 100644
--- a/xpu/1.13.120+xpu/tutorials/installation.html
+++ b/xpu/1.13.120+xpu/tutorials/installation.html
@@ -275,10 +275,10 @@ 
    Install via wheel files
    
 
    Prebuilt wheel files for generic Python* and Intel® Distribution for Python* are released in separate repositories.
    
 
    # General Python*
-python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 
 # Intel® Distribution for Python*
-python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://developer.intel.com/ipex-whl-stable-xpu-idp
+python -m pip install torch==1.13.0a0+git6c9b55e torchvision==0.14.1a0 intel_extension_for_pytorch==1.13.120+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 
    
 
    
 
    Note: Wheel files for Intel® Distribution for Python* only supports Python 3.9. The support starts from 1.13.10+xpu.
    
diff --git a/xpu/1.13.120+xpu/tutorials/performance_tuning/known_issues.html b/xpu/1.13.120+xpu/tutorials/performance_tuning/known_issues.html
index 29181b307..561d353d5 100644
--- a/xpu/1.13.120+xpu/tutorials/performance_tuning/known_issues.html
+++ b/xpu/1.13.120+xpu/tutorials/performance_tuning/known_issues.html
@@ -133,7 +133,7 @@ 
    Usage
 
    ImportError: undefined symbol: _ZNK5torch8autograd4Node4nameB5cxx11Ev
 
    
 
    
-
    DPC++ does not support _GLIBCXX_USE_CXX11_ABI=0, Intel® Extension for PyTorch* is always compiled with _GLIBCXX_USE_CXX11_ABI=1. This symbol undefined issue appears when PyTorch* is compiled with _GLIBCXX_USE_CXX11_ABI=0. Pass export GLIBCXX_USE_CXX11_ABI=1 and compile PyTorch* with particular compiler which supports _GLIBCXX_USE_CXX11_ABI=1. We recommend using prebuilt wheels in download server to avoid this issue.
    
+
    DPC++ does not support _GLIBCXX_USE_CXX11_ABI=0, Intel® Extension for PyTorch* is always compiled with _GLIBCXX_USE_CXX11_ABI=1. This symbol undefined issue appears when PyTorch* is compiled with _GLIBCXX_USE_CXX11_ABI=0. Pass export GLIBCXX_USE_CXX11_ABI=1 and compile PyTorch* with particular compiler which supports _GLIBCXX_USE_CXX11_ABI=1. We recommend using prebuilt wheels in download server to avoid this issue.
    
 
    • 
 
 
diff --git a/xpu/2.0.110+xpu/_sources/tutorials/cheat_sheet.md.txt b/xpu/2.0.110+xpu/_sources/tutorials/cheat_sheet.md.txt
index f7423901b..f7fc8cabe 100644
--- a/xpu/2.0.110+xpu/_sources/tutorials/cheat_sheet.md.txt
+++ b/xpu/2.0.110+xpu/_sources/tutorials/cheat_sheet.md.txt
@@ -6,7 +6,7 @@ Get started with Intel® Extension for PyTorch\* using the following commands:
 |Description    | Command |
 | -------- | ------- |
 | Basic CPU Installation | `python -m pip install intel_extension_for_pytorch`    |
-| Basic GPU Installation | `pip install torch== -f https://developer.intel.com/ipex-whl-stable-xpu`
    `pip install intel_extension_for_pytorch== -f https://developer.intel.com/ipex-whl-stable-xpu`|
+| Basic GPU Installation | `pip install torch== -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us`
    `pip install intel_extension_for_pytorch== -f https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us-xpu`|
 | Import Intel® Extension for PyTorch\*    | `import intel_extension_for_pytorch as ipex`|
 | Capture a Verbose Log (Command Prompt)    | `export ONEDNN_VERBOSE=1`   |
 | Optimization During Training   | `model = ...`
    `optimizer = ...`
    `model.train()`
    `model, optimizer = ipex.optimize(model, optimizer=optimizer)`|
diff --git a/xpu/2.0.110+xpu/_sources/tutorials/features/DDP.md.txt b/xpu/2.0.110+xpu/_sources/tutorials/features/DDP.md.txt
index 26bbc02f7..0879c4b8e 100644
--- a/xpu/2.0.110+xpu/_sources/tutorials/features/DDP.md.txt
+++ b/xpu/2.0.110+xpu/_sources/tutorials/features/DDP.md.txt
@@ -62,11 +62,11 @@ Prebuilt wheel files for CPU, GPU with generic Python\* and GPU with Intel® Dis
 
 ```
 # Generic Python* for CPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-cpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 # Generic Python* for GPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 # Intel® Distribution for Python*
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu-idp
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 ```
 
 Installation from either repository shares the command below. Replace the place holder `` with a real URL mentioned above.
diff --git a/xpu/2.0.110+xpu/_sources/tutorials/installations/linux.rst.txt b/xpu/2.0.110+xpu/_sources/tutorials/installations/linux.rst.txt
index 4b94db494..bbd7f3951 100644
--- a/xpu/2.0.110+xpu/_sources/tutorials/installations/linux.rst.txt
+++ b/xpu/2.0.110+xpu/_sources/tutorials/installations/linux.rst.txt
@@ -139,7 +139,7 @@ Prebuilt wheel files availability matrix for Python versions:
 
 .. code:: shell
 
-  python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+  python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 
 .. note::
 
@@ -152,7 +152,7 @@ Prebuit wheel files only support Python 3.9 for Intel® Distribution for Python*
 
 .. code:: shell
 
-  python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://developer.intel.com/ipex-whl-stable-xpu-idp
+  python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 
 via conda command
 ~~~~~~~~~~~~~~~~~
diff --git a/xpu/2.0.110+xpu/_sources/tutorials/installations/windows.rst.txt b/xpu/2.0.110+xpu/_sources/tutorials/installations/windows.rst.txt
index e888dd0d0..18dd914fe 100644
--- a/xpu/2.0.110+xpu/_sources/tutorials/installations/windows.rst.txt
+++ b/xpu/2.0.110+xpu/_sources/tutorials/installations/windows.rst.txt
@@ -108,7 +108,7 @@ Prebuilt wheel files availability matrix for Python versions:
 .. code:: shell
 
   conda install pkg-config libuv
-  python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+  python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 
 Important Notes
 ~~~~~~~~~~~~~~~
diff --git a/xpu/2.0.110+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt b/xpu/2.0.110+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt
index 8ca9b89fd..253f977a9 100644
--- a/xpu/2.0.110+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt
+++ b/xpu/2.0.110+xpu/_sources/tutorials/performance_tuning/known_issues.md.txt
@@ -23,7 +23,7 @@ Known Issues
   ImportError: undefined symbol: _ZNK5torch8autograd4Node4nameB5cxx11Ev
   ```
 
-  DPC++ does not support `_GLIBCXX_USE_CXX11_ABI=0`, Intel® Extension for PyTorch\* is always compiled with `_GLIBCXX_USE_CXX11_ABI=1`. This symbol undefined issue appears when PyTorch\* is compiled with `_GLIBCXX_USE_CXX11_ABI=0`. Pass `export GLIBCXX_USE_CXX11_ABI=1` and compile PyTorch\* with particular compiler which supports `_GLIBCXX_USE_CXX11_ABI=1`. We recommend using prebuilt wheels in [download server](https://developer.intel.com/ipex-whl-stable-xpu) to avoid this issue.
+  DPC++ does not support `_GLIBCXX_USE_CXX11_ABI=0`, Intel® Extension for PyTorch\* is always compiled with `_GLIBCXX_USE_CXX11_ABI=1`. This symbol undefined issue appears when PyTorch\* is compiled with `_GLIBCXX_USE_CXX11_ABI=0`. Pass `export GLIBCXX_USE_CXX11_ABI=1` and compile PyTorch\* with particular compiler which supports `_GLIBCXX_USE_CXX11_ABI=1`. We recommend using prebuilt wheels in [download server](https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us) to avoid this issue.
 
 - Bad termination after AI model execution finishes when using Intel MPI
 
diff --git a/xpu/2.0.110+xpu/tutorials/cheat_sheet.html b/xpu/2.0.110+xpu/tutorials/cheat_sheet.html
index b1cd5fb68..9ade65c11 100644
--- a/xpu/2.0.110+xpu/tutorials/cheat_sheet.html
+++ b/xpu/2.0.110+xpu/tutorials/cheat_sheet.html
@@ -103,7 +103,7 @@ 
    Cheat SheetInstall from prebuilt wheel:
    
 
    Prebuilt wheel files for CPU, GPU with generic Python* and GPU with Intel® Distribution for Python* are released in separate repositories.
    
 
    # Generic Python* for CPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-cpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=cpu&repo=us
 # Generic Python* for GPU
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 # Intel® Distribution for Python*
-REPO_URL: https://developer.intel.com/ipex-whl-stable-xpu-idp
+REPO_URL: https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 
    
 
    
 
    Installation from either repository shares the command below. Replace the place holder <REPO_URL> with a real URL mentioned above.
    
diff --git a/xpu/2.0.110+xpu/tutorials/installations/linux.html b/xpu/2.0.110+xpu/tutorials/installations/linux.html
index 3809db436..a57877311 100644
--- a/xpu/2.0.110+xpu/tutorials/installations/linux.html
+++ b/xpu/2.0.110+xpu/tutorials/installations/linux.html
@@ -293,7 +293,7 @@ 
    Generic Python
    python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+
    python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 
    
 
    
 
    
@@ -304,7 +304,7 @@ 
    Generic Python
 
    Intel® Distribution for Python*
    
 
    Prebuit wheel files only support Python 3.9 for Intel® Distribution for Python* environment. Supported version starts from 1.13.10+xpu.
    
-
    python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://developer.intel.com/ipex-whl-stable-xpu-idp
+
    python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu-idp&repo=us
 
    
 
    
 
diff --git a/xpu/2.0.110+xpu/tutorials/installations/windows.html b/xpu/2.0.110+xpu/tutorials/installations/windows.html
index 3634d791d..908ee49da 100644
--- a/xpu/2.0.110+xpu/tutorials/installations/windows.html
+++ b/xpu/2.0.110+xpu/tutorials/installations/windows.html
@@ -242,7 +242,7 @@ 
    Generic Python
    conda install pkg-config libuv
-python -m pip install torch==2.0.0a0 intel_extension_for_pytorch==2.0.110+gitba7f6c1 -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install torch==2.0.0a0 intel_extension_for_pytorch==2.0.110+gitba7f6c1 -f https://pytorch-extension.intel.com/release-whl?release=stable&device=xpu&repo=us
 
    
 
    
 
diff --git a/xpu/2.0.110+xpu/tutorials/performance_tuning/known_issues.html b/xpu/2.0.110+xpu/tutorials/performance_tuning/known_issues.html
index b65e3d162..28795341c 100644
--- a/xpu/2.0.110+xpu/tutorials/performance_tuning/known_issues.html
+++ b/xpu/2.0.110+xpu/tutorials/performance_tuning/known_issues.html
@@ -132,7 +132,7 @@ 
    Usage
 
    ImportError: undefined symbol: _ZNK5torch8autograd4Node4nameB5cxx11Ev
 
    
 
    
-
    DPC++ does not support _GLIBCXX_USE_CXX11_ABI=0, Intel® Extension for PyTorch* is always compiled with _GLIBCXX_USE_CXX11_ABI=1. This symbol undefined issue appears when PyTorch* is compiled with _GLIBCXX_USE_CXX11_ABI=0. Pass export GLIBCXX_USE_CXX11_ABI=1 and compile PyTorch* with particular compiler which supports _GLIBCXX_USE_CXX11_ABI=1. We recommend using prebuilt wheels in download server to avoid this issue.
    
+
    DPC++ does not support _GLIBCXX_USE_CXX11_ABI=0, Intel® Extension for PyTorch* is always compiled with _GLIBCXX_USE_CXX11_ABI=1. This symbol undefined issue appears when PyTorch* is compiled with _GLIBCXX_USE_CXX11_ABI=0. Pass export GLIBCXX_USE_CXX11_ABI=1 and compile PyTorch* with particular compiler which supports _GLIBCXX_USE_CXX11_ABI=1. We recommend using prebuilt wheels in download server to avoid this issue.
    
 
 
  • Bad termination after AI model execution finishes when using Intel MPI
    
 
    This is a random issue when the AI model (e.g. RN50 training) execution finishes in an Intel MPI environment. It is not user-friendly as the model execution ends ungracefully. The workaround solution is to add dist.destroy_process_group() during the cleanup stage in the model script, as described in Getting Started with Distributed Data Parallel.