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<div class="section" id="torch-storage">
<h1>torch.Storage<a class="headerlink" href="#torch-storage" title="Permalink to this headline">¶</a></h1>
<p>A <a class="reference internal" href="#torch._TypedStorage" title="torch._TypedStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch._TypedStorage</span></code></a> is a contiguous, one-dimensional array of
elements of a particular <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.dtype</span></code></a>. It can be given any
<a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.dtype</span></code></a>, and the internal data will be interpretted appropriately.</p>
<p>Every strided <a class="reference internal" href="tensors.html#torch.Tensor" title="torch.Tensor"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.Tensor</span></code></a> contains a <a class="reference internal" href="#torch._TypedStorage" title="torch._TypedStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch._TypedStorage</span></code></a>,
which stores all of the data that the <a class="reference internal" href="tensors.html#torch.Tensor" title="torch.Tensor"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.Tensor</span></code></a> views.</p>
<p>For backward compatibility, there are also <code class="xref py py-class docutils literal notranslate"><span class="pre">torch.<type>Storage</span></code> classes
(like <a class="reference internal" href="#torch.FloatStorage" title="torch.FloatStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.FloatStorage</span></code></a>, <a class="reference internal" href="#torch.IntStorage" title="torch.IntStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.IntStorage</span></code></a>, etc). These
classes are not actually instantiated, and calling their constructors creates
a <a class="reference internal" href="#torch._TypedStorage" title="torch._TypedStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch._TypedStorage</span></code></a> with the appropriate <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.dtype</span></code></a>.
<code class="xref py py-class docutils literal notranslate"><span class="pre">torch.<type>Storage</span></code> classes have all of the same class methods that
<a class="reference internal" href="#torch._TypedStorage" title="torch._TypedStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch._TypedStorage</span></code></a> has.</p>
<p>Also for backward compatibility, <code class="xref py py-class docutils literal notranslate"><span class="pre">torch.Storage</span></code> is an alias for the
storage class that corresponds with the default data type
(<a class="reference internal" href="generated/torch.get_default_dtype.html#torch.get_default_dtype" title="torch.get_default_dtype"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.get_default_dtype()</span></code></a>). For instance, if the default data type is
<code class="xref py py-attr docutils literal notranslate"><span class="pre">torch.float</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">torch.Storage</span></code> resolves to
<a class="reference internal" href="#torch.FloatStorage" title="torch.FloatStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.FloatStorage</span></code></a>.</p>
<dl class="py class">
<dt id="torch._TypedStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">_TypedStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py method">
<dt id="torch._TypedStorage.bfloat16">
<code class="sig-name descname"><span class="pre">bfloat16</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.bfloat16"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.bfloat16" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to bfloat16 type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.bool">
<code class="sig-name descname"><span class="pre">bool</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.bool"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.bool" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to bool type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.byte">
<code class="sig-name descname"><span class="pre">byte</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.byte"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.byte" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to byte type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.char">
<code class="sig-name descname"><span class="pre">char</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.char"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.char" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to char type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.clone">
<code class="sig-name descname"><span class="pre">clone</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.clone"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.clone" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a copy of this storage</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.complex_double">
<code class="sig-name descname"><span class="pre">complex_double</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.complex_double"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.complex_double" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to complex double type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.complex_float">
<code class="sig-name descname"><span class="pre">complex_float</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.complex_float"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.complex_float" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to complex float type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.copy_">
<code class="sig-name descname"><span class="pre">copy_</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">source</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">non_blocking</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.copy_"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.copy_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.cpu">
<code class="sig-name descname"><span class="pre">cpu</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.cpu"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.cpu" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a CPU copy of this storage if it’s not already on the CPU</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.cuda">
<code class="sig-name descname"><span class="pre">cuda</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">non_blocking</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.cuda"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.cuda" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a copy of this object in CUDA memory.</p>
<p>If this object is already in CUDA memory and on the correct device, then
no copy is performed and the original object is returned.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>device</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – The destination GPU id. Defaults to the current device.</p></li>
<li><p><strong>non_blocking</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.10)"><em>bool</em></a>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code> and the source is in pinned memory,
the copy will be asynchronous with respect to the host. Otherwise,
the argument has no effect.</p></li>
<li><p><strong>**kwargs</strong> – For compatibility, may contain the key <code class="docutils literal notranslate"><span class="pre">async</span></code> in place of
the <code class="docutils literal notranslate"><span class="pre">non_blocking</span></code> argument.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.data_ptr">
<code class="sig-name descname"><span class="pre">data_ptr</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.data_ptr"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.data_ptr" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.device">
<em class="property"><span class="pre">property</span> </em><code class="sig-name descname"><span class="pre">device</span></code><a class="headerlink" href="#torch._TypedStorage.device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.double">
<code class="sig-name descname"><span class="pre">double</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.double"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.double" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to double type</p>
</dd></dl>
<dl class="py attribute">
<dt id="torch._TypedStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><a class="headerlink" href="#torch._TypedStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.element_size">
<code class="sig-name descname"><span class="pre">element_size</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.element_size"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.element_size" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.fill_">
<code class="sig-name descname"><span class="pre">fill_</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.fill_"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.fill_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.float">
<code class="sig-name descname"><span class="pre">float</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.float"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.float" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to float type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.from_buffer">
<em class="property"><span class="pre">classmethod</span> </em><code class="sig-name descname"><span class="pre">from_buffer</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.from_buffer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.from_buffer" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.from_file">
<em class="property"><span class="pre">classmethod</span> </em><code class="sig-name descname"><span class="pre">from_file</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shared</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> → <span class="pre">Storage</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.from_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.from_file" title="Permalink to this definition">¶</a></dt>
<dd><p>If <cite>shared</cite> is <cite>True</cite>, then memory is shared between all processes.
All changes are written to the file. If <cite>shared</cite> is <cite>False</cite>, then the changes on
the storage do not affect the file.</p>
<p><cite>size</cite> is the number of elements in the storage. If <cite>shared</cite> is <cite>False</cite>,
then the file must contain at least <cite>size * sizeof(Type)</cite> bytes
(<cite>Type</cite> is the type of storage). If <cite>shared</cite> is <cite>True</cite> the file will be
created if needed.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>filename</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><em>str</em></a>) – file name to map</p></li>
<li><p><strong>shared</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.10)"><em>bool</em></a>) – whether to share memory</p></li>
<li><p><strong>size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><em>int</em></a>) – number of elements in the storage</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.get_device">
<code class="sig-name descname"><span class="pre">get_device</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.get_device"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.get_device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.half">
<code class="sig-name descname"><span class="pre">half</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.half"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.half" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to half type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.int">
<code class="sig-name descname"><span class="pre">int</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.int"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.int" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to int type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.is_cuda">
<em class="property"><span class="pre">property</span> </em><code class="sig-name descname"><span class="pre">is_cuda</span></code><a class="headerlink" href="#torch._TypedStorage.is_cuda" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.is_pinned">
<code class="sig-name descname"><span class="pre">is_pinned</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.is_pinned"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.is_pinned" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.is_shared">
<code class="sig-name descname"><span class="pre">is_shared</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.is_shared"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.is_shared" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="torch._TypedStorage.is_sparse">
<code class="sig-name descname"><span class="pre">is_sparse</span></code><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#torch._TypedStorage.is_sparse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.long">
<code class="sig-name descname"><span class="pre">long</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.long"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.long" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to long type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.nbytes">
<code class="sig-name descname"><span class="pre">nbytes</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.nbytes"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.nbytes" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.pickle_storage_type">
<code class="sig-name descname"><span class="pre">pickle_storage_type</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.pickle_storage_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.pickle_storage_type" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.pin_memory">
<code class="sig-name descname"><span class="pre">pin_memory</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.pin_memory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.pin_memory" title="Permalink to this definition">¶</a></dt>
<dd><p>Coppies the storage to pinned memory, if it’s not already pinned.</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.resize_">
<code class="sig-name descname"><span class="pre">resize_</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">size</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.resize_"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.resize_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.share_memory_">
<code class="sig-name descname"><span class="pre">share_memory_</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.share_memory_"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.share_memory_" title="Permalink to this definition">¶</a></dt>
<dd><p>Moves the storage to shared memory.</p>
<p>This is a no-op for storages already in shared memory and for CUDA
storages, which do not need to be moved for sharing across processes.
Storages in shared memory cannot be resized.</p>
<p>Returns: self</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.short">
<code class="sig-name descname"><span class="pre">short</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.short"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.short" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to short type</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.size">
<code class="sig-name descname"><span class="pre">size</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.size"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.size" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.tolist">
<code class="sig-name descname"><span class="pre">tolist</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.tolist"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.tolist" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a list containing the elements of this storage</p>
</dd></dl>
<dl class="py method">
<dt id="torch._TypedStorage.type">
<code class="sig-name descname"><span class="pre">type</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">non_blocking</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#_TypedStorage.type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch._TypedStorage.type" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the type if <cite>dtype</cite> is not provided, else casts this object to
the specified type.</p>
<p>If this is already of the correct type, no copy is performed and the
original object is returned.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#type" title="(in Python v3.10)"><em>type</em></a><em> or </em><em>string</em>) – The desired type</p></li>
<li><p><strong>non_blocking</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.10)"><em>bool</em></a>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, and the source is in pinned memory
and destination is on the GPU or vice versa, the copy is performed
asynchronously with respect to the host. Otherwise, the argument
has no effect.</p></li>
<li><p><strong>**kwargs</strong> – For compatibility, may contain the key <code class="docutils literal notranslate"><span class="pre">async</span></code> in place of
the <code class="docutils literal notranslate"><span class="pre">non_blocking</span></code> argument. The <code class="docutils literal notranslate"><span class="pre">async</span></code> arg is deprecated.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.DoubleStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">DoubleStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#DoubleStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.DoubleStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.DoubleStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.float64</span></em><a class="reference internal" href="_modules/torch.html#DoubleStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.DoubleStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.FloatStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">FloatStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#FloatStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.FloatStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.FloatStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.float32</span></em><a class="reference internal" href="_modules/torch.html#FloatStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.FloatStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.HalfStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">HalfStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#HalfStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.HalfStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.HalfStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.float16</span></em><a class="reference internal" href="_modules/torch.html#HalfStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.HalfStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.LongStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">LongStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#LongStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.LongStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.LongStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.int64</span></em><a class="reference internal" href="_modules/torch.html#LongStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.LongStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.IntStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">IntStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#IntStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.IntStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.IntStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.int32</span></em><a class="reference internal" href="_modules/torch.html#IntStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.IntStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.ShortStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">ShortStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#ShortStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.ShortStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.ShortStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.int16</span></em><a class="reference internal" href="_modules/torch.html#ShortStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.ShortStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.CharStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">CharStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#CharStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.CharStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.CharStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.int8</span></em><a class="reference internal" href="_modules/torch.html#CharStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.CharStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.ByteStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">ByteStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#ByteStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.ByteStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.ByteStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.uint8</span></em><a class="reference internal" href="_modules/torch.html#ByteStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.ByteStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.BoolStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">BoolStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#BoolStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.BoolStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.BoolStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.bool</span></em><a class="reference internal" href="_modules/torch.html#BoolStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.BoolStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.BFloat16Storage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">BFloat16Storage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#BFloat16Storage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.BFloat16Storage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.BFloat16Storage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.bfloat16</span></em><a class="reference internal" href="_modules/torch.html#BFloat16Storage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.BFloat16Storage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.ComplexDoubleStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">ComplexDoubleStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#ComplexDoubleStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.ComplexDoubleStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.ComplexDoubleStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.complex128</span></em><a class="reference internal" href="_modules/torch.html#ComplexDoubleStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.ComplexDoubleStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.ComplexFloatStorage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">ComplexFloatStorage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#ComplexFloatStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.ComplexFloatStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.ComplexFloatStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.complex64</span></em><a class="reference internal" href="_modules/torch.html#ComplexFloatStorage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.ComplexFloatStorage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.QUInt8Storage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">QUInt8Storage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#QUInt8Storage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QUInt8Storage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.QUInt8Storage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.quint8</span></em><a class="reference internal" href="_modules/torch.html#QUInt8Storage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QUInt8Storage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.QInt8Storage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">QInt8Storage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#QInt8Storage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QInt8Storage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.QInt8Storage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.qint8</span></em><a class="reference internal" href="_modules/torch.html#QInt8Storage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QInt8Storage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.QInt32Storage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">QInt32Storage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#QInt32Storage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QInt32Storage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.QInt32Storage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.qint32</span></em><a class="reference internal" href="_modules/torch.html#QInt32Storage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QInt32Storage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.QUInt4x2Storage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">QUInt4x2Storage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#QUInt4x2Storage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QUInt4x2Storage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.QUInt4x2Storage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.quint4x2</span></em><a class="reference internal" href="_modules/torch.html#QUInt4x2Storage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QUInt4x2Storage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.QUInt2x4Storage">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">QUInt2x4Storage</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wrap_storage</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch.html#QUInt2x4Storage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QUInt2x4Storage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py attribute">
<dt id="torch.QUInt2x4Storage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><em class="property"><span class="pre">:</span> <a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">torch.dtype</span></a></em><em class="property"> <span class="pre">=</span> <span class="pre">torch.quint2x4</span></em><a class="reference internal" href="_modules/torch.html#QUInt2x4Storage.dtype"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.QUInt2x4Storage.dtype" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
</dd></dl>
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