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          <section id="installation">
<h1>Installation<a class="headerlink" href="#installation" title="Permalink to this heading">#</a></h1>
<section id="installing-from-source">
<h2>Installing from source<a class="headerlink" href="#installing-from-source" title="Permalink to this heading">#</a></h2>
<p>Installing from source requires the latest CUDA Toolkit that matches the major.minor of CUDA Python installed.</p>
<p>Prior to installing the CUTLASS Python interface, one may optionally set the following environment variables:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">CUTLASS_PATH</span></code>: the path to the cloned CUTLASS repository</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">CUDA_INSTALL_PATH</span></code>: the path to the installation of CUDA</p></li>
</ul>
<p>If these environment variables are not set, the installation process will infer them to be the following:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">CUTLASS_PATH</span></code>: one directory level above the current directory (i.e., <code class="docutils literal notranslate"><span class="pre">$(pwd)/..</span></code>)</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">CUDA_INSTALL_PATH</span></code>: the directory holding <code class="docutils literal notranslate"><span class="pre">/bin/nvcc</span></code> for the first version of <code class="docutils literal notranslate"><span class="pre">nvcc</span></code> on <code class="docutils literal notranslate"><span class="pre">$PATH</span></code> (i.e., <code class="docutils literal notranslate"><span class="pre">which</span> <span class="pre">nvcc</span> <span class="pre">|</span> <span class="pre">awk</span> <span class="pre">-F'/bin/nvcc'</span> <span class="pre">'{print</span> <span class="pre">$1}'</span></code>)</p></li>
</ul>
<p><strong>NOTE:</strong> The version of <code class="docutils literal notranslate"><span class="pre">cuda-python</span></code> installed must match the CUDA version in <code class="docutils literal notranslate"><span class="pre">CUDA_INSTALL_PATH</span></code>.</p>
<section id="installing-a-developer-mode-package">
<h3>Installing a developer-mode package<a class="headerlink" href="#installing-a-developer-mode-package" title="Permalink to this heading">#</a></h3>
<p>The CUTLASS Python interface can currently be installed via:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>setup.py<span class="w"> </span>develop<span class="w"> </span>--user
</pre></div>
</div>
<p>This will allow changes to the Python interface source to be reflected when using the Python interface.</p>
<p>We plan to add support for installing via <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">setup.py</span> <span class="pre">install</span></code> in a future release.</p>
</section>
</section>
<section id="docker">
<h2>Docker<a class="headerlink" href="#docker" title="Permalink to this heading">#</a></h2>
<p>To ensure that you have all of the necessary Python modules for running the examples using the
CUTLASS Python interface, we recommend using one of the Docker images located in the docker directory.</p>
<p>For example, to build and launch a container that uses CUDA 12.1 via an NGC PyTorch container, run:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>build<span class="w"> </span>-t<span class="w"> </span>cutlass-cuda12.1:latest<span class="w"> </span>-f<span class="w"> </span>docker/Dockerfile-cuda12.1-pytorch<span class="w"> </span>.
docker<span class="w"> </span>run<span class="w"> </span>--gpus<span class="w"> </span>all<span class="w"> </span>-it<span class="w"> </span>--rm<span class="w"> </span>cutlass-cuda12.1:latest
</pre></div>
</div>
<p>The CUTLASS Python interface has been tested with CUDA 11.8, 12.0, and 12.1 on Python 3.8.10 and 3.9.7.</p>
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