fix doc version issue (#2744)

Co-authored-by: ZhangJianyu <zhang.jianyu@outlook.com>

v2.15.0.1/docs/install/experimental/install_for_arc_gpu.html

@@ -118,7 +118,7 @@ <h3>Windows Subsystem for Linux 2 (WSL2)<a class="headerlink" href="#windows-sub
 <li><p>For Ubuntu Linux 22.04 within WSL2:</p>
 <ul>
 <li><p>Linux Runtime Libraries: Intel® Arc™ GPU Drivers <a class="reference external" href="https://dgpu-docs.intel.com/releases/LTS_803.29_20240131.html">803</a> (installation instructions below)</p></li>
-<li><p>Intel® oneAPI Base Toolkit 2024.1 (installation instructions below)</p></li>
+<li><p>Intel® oneAPI Base Toolkit 2024.2.1 (installation instructions below)</p></li>
 <li><p>TensorFlow 2.15.1</p></li>
 <li><p>Python 3.9-3.11</p></li>
 <li><p>pip 19.0 or later (requires manylinux2014 support)</p></li>
@@ -132,7 +132,7 @@ <h3>Native Linux Running Directly on Hardware<a class="headerlink" href="#native
 <li><p>Ubuntu 22.04 (64-bit)</p></li>
 <li><p>Intel® GPU Drivers for Linux (installation instructions below)</p></li>
 <li><p>Intel® Arc™ GPU Drivers <a class="reference external" href="https://dgpu-docs.intel.com/releases/LTS_803.29_20240131.html">803</a></p></li>
-<li><p>Intel® oneAPI Base Toolkit 2024.1 (installation instructions below)</p></li>
+<li><p>Intel® oneAPI Base Toolkit 2024.2.1 (installation instructions below)</p></li>
 <li><p>TensorFlow 2.15.1</p></li>
 <li><p>Python 3.9-3.11</p></li>
 <li><p>pip 19.0 or later (requires manylinux2014 support)</p></li>
@@ -188,7 +188,7 @@ <h5>Ubuntu Linux Installed in WSL2<a class="headerlink" href="#ubuntu-linux-inst
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>sudo<span class="w"> </span>apt-get<span class="w"> </span>install<span class="w"> </span>-y<span class="w"> </span>gpg-agent<span class="w"> </span>wget
 wget<span class="w"> </span>-qO<span class="w"> </span>-<span class="w"> </span>https://repositories.intel.com/gpu/intel-graphics.key<span class="w"> </span><span class="p">|</span><span class="w"> </span>
 sudo<span class="w"> </span>gpg<span class="w"> </span>--dearmor<span class="w"> </span>--output<span class="w"> </span>/usr/share/keyrings/intel-graphics.gpg
-<span class="nb">echo</span><span class="w"> </span><span class="s2">&quot;deb [arch=.html64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy/lts/2350 unified&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>sudo<span class="w"> </span>tee<span class="w"> </span>/etc/apt/sources.list.d/intel-gpu-jammy.list
+<span class="nb">echo</span><span class="w"> </span><span class="s2">&quot;deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy/lts/2350 unified&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>sudo<span class="w"> </span>tee<span class="w"> </span>/etc/apt/sources.list.d/intel-gpu-jammy.list
 sudo<span class="w"> </span>apt-get<span class="w"> </span>update
 </pre></div>
 </div>
@@ -336,10 +336,10 @@ <h3>Optional: Install Full Intel® oneAPI<a class="headerlink" href="#optional-i
 <li><p>Intel® oneAPI Math Kernel Library (oneMKL)</p></li>
 </ul>
 <p>Download and install the verified DPC++ compiler and oneMKL in Ubuntu 22.04.</p>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>wget<span class="w"> </span>https://registrationcenter-download.intel.com/akdlm/IRC_NAS/fdc7a2bc-b7a8-47eb-8876-de6201297144/l_BaseKit_p_2024.1.0.596.sh
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>wget<span class="w"> </span>https://registrationcenter-download.intel.com/akdlm/IRC_NAS/e6ff8e9c-ee28-47fb-abd7-5c524c983e1c/l_BaseKit_p_2024.2.1.100_offline.sh
 <span class="c1"># 3 components are necessary: DPC++/C++ Compiler, DPC++ Library and oneMKL</span>
 <span class="c1"># if you want to run distributed training with Intel® Optimization for Horovod*, oneCCL is needed too (Intel® oneAPI MPI Library will be installed automatically as its dependency)</span>
-$<span class="w"> </span>sudo<span class="w"> </span>sh<span class="w"> </span>./l_BaseKit_p_2024.1.0.596.sh
+$<span class="w"> </span>sudo<span class="w"> </span>sh<span class="w"> </span>l_BaseKit_p_2024.2.1.100_offline.sh
 </pre></div>
 </div>
 <p>For any more details, please follow the procedure in <a class="reference external" href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html">Intel® oneAPI Base Toolkit</a>.</p>
@@ -388,4 +388,4 @@ <h4>Setup environment variables<a class="headerlink" href="#setup-environment-va
   </script> 
 
 </body>
-</html>
+</html>

v2.15.0.1/docs/install/experimental/install_for_gpu_conda.html

@@ -116,21 +116,20 @@ <h2>Preconditions<a class="headerlink" href="#preconditions" title="Link to this
 </section>
 <section id="step-by-step-instructions">
 <h2>Step by step instructions:<a class="headerlink" href="#step-by-step-instructions" title="Link to this heading"></a></h2>
-<p>Miniforge is the recommended approach for installing stock TensorFlow. It creates a separate environment to avoid changing any installed software in your system. This is also the easiest way to install the required software especially for the GPU setup.
-You can use the following command to install Miniforge. During installation, you may need to press enter and type “yes”. Skip this step, if you have already installed conda.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>curl -L -O &quot;https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh&quot;
+<p><strong>Miniforge</strong> is the community (conda-forge) driven minimalistic conda installer. It is the recommended approach for installing stock TensorFlow. It creates a separate environment to avoid changing any installed software in your system. This is also the easiest way to install the required software especially for the GPU setup.</p>
+<p>You can use the following command to install Miniforge. During installation, you may need to press enter and type “yes”. Skip this step, if you have already installed conda.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>wget &quot;https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh&quot;
 bash Miniforge3-$(uname)-$(uname -m).sh
 </pre></div>
 </div>
 <p>You may need to restart your terminal or <code class="docutils literal notranslate"><span class="pre">source</span> <span class="pre">~/.bashrc</span></code> to enable the conda command. Use this command to test if it is installed successfully.</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">conda</span> <span class="o">-</span><span class="n">V</span>
 </pre></div>
 </div>
-<p>You may need to update your conda first, as at least conda 4.1.11 is required.</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">conda</span> <span class="n">update</span> <span class="n">conda</span>
 
 <span class="c1">#Take Intel Python 2023.2.0 as an example to conda environment, but generic Python is also recommended.</span>
-<span class="n">conda</span> <span class="n">create</span> <span class="o">-</span><span class="n">n</span> <span class="n">itex</span> <span class="o">-</span><span class="n">c</span> <span class="n">intel</span> <span class="n">intelpython3_full</span><span class="o">==</span><span class="mf">2023.2.0</span> <span class="n">python</span><span class="o">=</span><span class="mf">3.9</span>
+<span class="n">conda</span> <span class="n">create</span> <span class="o">-</span><span class="n">n</span> <span class="n">itex</span> <span class="o">-</span><span class="n">c</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">software</span><span class="o">.</span><span class="n">repos</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">python</span><span class="o">/</span><span class="n">conda</span><span class="o">/</span> <span class="n">intelpython3_full</span><span class="o">==</span><span class="mf">2024.2.0</span> <span class="n">python</span><span class="o">=</span><span class="mf">3.9</span>
 </pre></div>
 </div>
 <p>Activate the environment by the following commands.</p>
@@ -209,4 +208,4 @@ <h2>Step by step instructions:<a class="headerlink" href="#step-by-step-instruct
   </script> 
 
 </body>
-</html>
+</html>

v2.15.0.1/docs/install/install_for_xpu.html

@@ -155,7 +155,7 @@ <h2>Software Requirements<a class="headerlink" href="#software-requirements" tit
 <li><p>Intel® Data Center GPU Max Series</p></li>
 </ul>
 </li>
-<li><p>Intel® oneAPI Base Toolkit 2024.1</p></li>
+<li><p><a class="reference external" href="https://www.intel.com/content/www/us/en/developer/articles/release-notes/intel-oneapi-toolkit-release-notes.html">Intel® oneAPI Base Toolkit 2024.2.1</a></p></li>
 <li><p>TensorFlow 2.15.1</p></li>
 <li><p>Python 3.9-3.11</p></li>
 <li><p>pip 19.0 or later (requires manylinux2014 support)</p></li>
@@ -219,10 +219,10 @@ <h3>Install oneAPI Base Toolkit Packages<a class="headerlink" href="#install-one
 <li><p>Intel® oneAPI Threading Building Blocks (TBB), dependency of DPC++ Compiler.</p></li>
 <li><p>Intel® oneAPI Collective Communications Library (oneCCL), required by Intel® Optimization for Horovod* only</p></li>
 </ul>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>wget<span class="w"> </span>https://registrationcenter-download.intel.com/akdlm/IRC_NAS/fdc7a2bc-b7a8-47eb-8876-de6201297144/l_BaseKit_p_2024.1.0.596.sh
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>wget<span class="w"> </span>https://registrationcenter-download.intel.com/akdlm/IRC_NAS/e6ff8e9c-ee28-47fb-abd7-5c524c983e1c/l_BaseKit_p_2024.2.1.100_offline.sh
 <span class="c1"># 3 components are necessary: DPC++/C++ Compiler, DPC++ Libiary and oneMKL</span>
 <span class="c1"># if you want to run distributed training with Intel® Optimization for Horovod*, oneCCL is needed too(Intel® oneAPI MPI Library will be installed automatically as its dependency)</span>
-$<span class="w"> </span>sudo<span class="w"> </span>sh<span class="w"> </span>./l_BaseKit_p_2024.1.0.596.sh
+$<span class="w"> </span>sudo<span class="w"> </span>sh<span class="w"> </span>l_BaseKit_p_2024.2.1.100_offline.sh
 </pre></div>
 </div>
 <p>For any more details, follow the procedure in https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html.</p>
@@ -332,4 +332,4 @@ <h2>XPU for CPU only platform (Deprecated)<a class="headerlink" href="#xpu-for-c
   </script> 
 
 </body>
-</html>
+</html>

v2.15.0.1/get_started.html

@@ -204,7 +204,15 @@ <h3>Compatibility Table<a class="headerlink" href="#compatibility-table" title="
 </thead>
 <tbody>
 <tr>
+<td>Not support</td>
+<td>2.17</td>
+</tr>
+<tr>
 <td><a href="docs/install/how_to_build.html">latest build from source</a></td>
+<td>2.16</td>
+</tr>
+<tr>
+<td>v2.15.0.0 &amp; v2.15.0.1</td>
 <td>2.15</td>
 </tr>
 <tr>
@@ -346,4 +354,4 @@ <h2>License<a class="headerlink" href="#license" title="Link to this heading">
   </script> 
 
 </body>
-</html>
+</html>