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* update download links

* update download links
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jingxu10 authored Sep 18, 2023
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6 changes: 3 additions & 3 deletions cpu/1.11.200+cpu/_sources/tutorials/installation.md.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -61,21 +61,21 @@ 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.
<a class="headerlink" id="installation_onednn_graph_compiler" title="Permalink to this headline"></a>
```
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
```

## Install via source compilation
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6 changes: 3 additions & 3 deletions cpu/1.11.200+cpu/tutorials/installation.html
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Original file line number Diff line number Diff line change
Expand Up @@ -242,17 +242,17 @@ <h2>Install via wheel file<a class="headerlink" href="#install-via-wheel-file" t
</pre></div>
</div>
<p>Alternatively, you can also install the latest version with the following commands:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">intel_extension_for_pytorch</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">developer</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">ipex</span><span class="o">-</span><span class="n">whl</span><span class="o">-</span><span class="n">stable</span>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">intel_extension_for_pytorch</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">pytorch</span><span class="o">-</span><span class="n">extension</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">release</span><span class="o">-</span><span class="n">whl</span><span class="o">?</span><span class="n">release</span><span class="o">=</span><span class="n">stable</span><span class="o">&</span><span class="n">device</span><span class="o">=</span><span class="n">cpu</span><span class="o">&</span><span class="n">repo</span><span class="o">=</span><span class="n">us</span>
</pre></div>
</div>
<p>For pre-built wheel files with oneDNN Graph Compiler, please use the following command to perform the installation.
<a class="headerlink" id="installation_onednn_graph_compiler" title="Permalink to this headline"></a></p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">intel_extension_for_pytorch</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">developer</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">ipex</span><span class="o">-</span><span class="n">whl</span><span class="o">-</span><span class="n">dev</span>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">intel_extension_for_pytorch</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">pytorch</span><span class="o">-</span><span class="n">extension</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">release</span><span class="o">-</span><span class="n">whl</span><span class="o">?</span><span class="n">release</span><span class="o">=</span><span class="n">dev</span><span class="o">&</span><span class="n">device</span><span class="o">=</span><span class="n">cpu</span><span class="o">&</span><span class="n">repo</span><span class="o">=</span><span class="n">us</span>
</pre></div>
</div>
<p><strong>Note:</strong> For version prior to 1.10.0, please use package name <code class="docutils literal notranslate"><span class="pre">torch_ipex</span></code>, rather than <code class="docutils literal notranslate"><span class="pre">intel_extension_for_pytorch</span></code>.</p>
<p><strong>Note:</strong> To install a package with a specific version, please run with the following command.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">&lt;</span><span class="n">package_name</span><span class="o">&gt;==&lt;</span><span class="n">version_name</span><span class="o">&gt;</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">developer</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">ipex</span><span class="o">-</span><span class="n">whl</span><span class="o">-</span><span class="n">stable</span>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">&lt;</span><span class="n">package_name</span><span class="o">&gt;==&lt;</span><span class="n">version_name</span><span class="o">&gt;</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">pytorch</span><span class="o">-</span><span class="n">extension</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">release</span><span class="o">-</span><span class="n">whl</span><span class="o">?</span><span class="n">release</span><span class="o">=</span><span class="n">stable</span><span class="o">&</span><span class="n">device</span><span class="o">=</span><span class="n">cpu</span><span class="o">&</span><span class="n">repo</span><span class="o">=</span><span class="n">us</span>
</pre></div>
</div>
</section>
Expand Down
6 changes: 3 additions & 3 deletions cpu/1.12.0+cpu/_sources/tutorials/installation.md.txt
View file
Original file line number Diff line number Diff line change
Expand Up @@ -63,21 +63,21 @@ 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.
<a class="headerlink" id="installation_onednn_graph_compiler" title="Permalink to this headline"></a>
```
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
```

## Install via source compilation
Expand Down
6 changes: 3 additions & 3 deletions cpu/1.12.0+cpu/tutorials/installation.html
View file
Original file line number Diff line number Diff line change
Expand Up @@ -254,17 +254,17 @@ <h2>Install via wheel file<a class="headerlink" href="#install-via-wheel-file" t
</pre></div>
</div>
<p>Alternatively, you can also install the latest version with the following commands:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">intel_extension_for_pytorch</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">developer</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">ipex</span><span class="o">-</span><span class="n">whl</span><span class="o">-</span><span class="n">stable</span>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">intel_extension_for_pytorch</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">pytorch</span><span class="o">-</span><span class="n">extension</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">release</span><span class="o">-</span><span class="n">whl</span><span class="o">?</span><span class="n">release</span><span class="o">=</span><span class="n">stable</span><span class="o">&</span><span class="n">device</span><span class="o">=</span><span class="n">cpu</span><span class="o">&</span><span class="n">repo</span><span class="o">=</span><span class="n">us</span>
</pre></div>
</div>
<p>For pre-built wheel files with oneDNN Graph Compiler, use the following command to perform the installation.
<a class="headerlink" id="installation_onednn_graph_compiler" title="Permalink to this headline"></a></p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">intel_extension_for_pytorch</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">developer</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">ipex</span><span class="o">-</span><span class="n">whl</span><span class="o">-</span><span class="n">dev</span>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">intel_extension_for_pytorch</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">pytorch</span><span class="o">-</span><span class="n">extension</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">release</span><span class="o">-</span><span class="n">whl</span><span class="o">?</span><span class="n">release</span><span class="o">=</span><span class="n">dev</span><span class="o">&</span><span class="n">device</span><span class="o">=</span><span class="n">cpu</span><span class="o">&</span><span class="n">repo</span><span class="o">=</span><span class="n">us</span>
</pre></div>
</div>
<p><strong>Note:</strong> For versions before 1.10.0, use package name <code class="docutils literal notranslate"><span class="pre">torch_ipex</span></code>, rather than <code class="docutils literal notranslate"><span class="pre">intel_extension_for_pytorch</span></code>.</p>
<p><strong>Note:</strong> To install a package with a specific version, run with the following command:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">&lt;</span><span class="n">package_name</span><span class="o">&gt;==&lt;</span><span class="n">version_name</span><span class="o">&gt;</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">developer</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">ipex</span><span class="o">-</span><span class="n">whl</span><span class="o">-</span><span class="n">stable</span>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">&lt;</span><span class="n">package_name</span><span class="o">&gt;==&lt;</span><span class="n">version_name</span><span class="o">&gt;</span> <span class="o">-</span><span class="n">f</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">pytorch</span><span class="o">-</span><span class="n">extension</span><span class="o">.</span><span class="n">intel</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">release</span><span class="o">-</span><span class="n">whl</span><span class="o">?</span><span class="n">release</span><span class="o">=</span><span class="n">stable</span><span class="o">&</span><span class="n">device</span><span class="o">=</span><span class="n">cpu</span><span class="o">&</span><span class="n">repo</span><span class="o">=</span><span class="n">us</span>
</pre></div>
</div>
</section>
Expand Down
6 changes: 3 additions & 3 deletions cpu/1.12.100+cpu/_sources/tutorials/installation.md.txt
View file
Original file line number Diff line number Diff line change
Expand Up @@ -64,21 +64,21 @@ 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.
<a class="headerlink" id="installation_onednn_graph_compiler" title="Permalink to this headline"></a>
```
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
```

## Install via source compilation
Expand Down
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