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<div class="section" id="torch-cuda-caching-allocator-delete">
<h1>torch.cuda.caching_allocator_delete<a class="headerlink" href="#torch-cuda-caching-allocator-delete" title="Permalink to this headline">¶</a></h1>
<dl class="py function">
<dt id="torch.cuda.caching_allocator_delete">
<code class="sig-prename descclassname"><span class="pre">torch.cuda.</span></code><code class="sig-name descname"><span class="pre">caching_allocator_delete</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mem_ptr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/cuda/memory.html#caching_allocator_delete"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.cuda.caching_allocator_delete" title="Permalink to this definition">¶</a></dt>
<dd><p>Deletes memory allocated using the CUDA memory allocator.</p>
<p>Memory allocated with <a class="reference internal" href="torch.cuda.caching_allocator_alloc.html#torch.cuda.caching_allocator_alloc" title="torch.cuda.caching_allocator_alloc"><code class="xref py py-func docutils literal notranslate"><span class="pre">caching_allocator_alloc()</span></code></a>.
is freed here. The associated device and stream are tracked inside
the allocator.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>mem_ptr</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – memory address to be freed by the allocator.</p>
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<p class="admonition-title">Note</p>
<p>See <a class="reference internal" href="../notes/cuda.html#cuda-memory-management"><span class="std std-ref">Memory management</span></a> for more details about GPU memory
management.</p>
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