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<div class="section" id="torch-storage">
<h1>torch.Storage<a class="headerlink" href="#torch-storage" title="Permalink to this heading">¶</a></h1>
<p><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>
<p>The <code class="xref py py-class docutils literal notranslate"><span class="pre">torch.<type>Storage</span></code> and <code class="xref py py-class docutils literal notranslate"><span class="pre">torch.cuda.<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., are not
actually ever instantiated. 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> and
<a class="reference internal" href="tensor_attributes.html#torch.device" title="torch.device"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.device</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>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 interpreted appropriately.
<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> contains a <a class="reference internal" href="#torch.UntypedStorage" title="torch.UntypedStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.UntypedStorage</span></code></a> which
holds the data as an untyped array of bytes.</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>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>All storage classes except for <a class="reference internal" href="#torch.UntypedStorage" title="torch.UntypedStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.UntypedStorage</span></code></a> will be removed
in the future, and <a class="reference internal" href="#torch.UntypedStorage" title="torch.UntypedStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.UntypedStorage</span></code></a> will be used in all cases.</p>
</div>
<dl class="py class">
<dt class="sig sig-object py" id="torch.TypedStorage">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.</span></span><span class="sig-name descname"><span class="pre">TypedStorage</span></span><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>, <em class="sig-param"><span class="n"><span class="pre">_internal</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"><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="field-list simple">
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.bfloat16">
<span class="sig-name descname"><span class="pre">bfloat16</span></span><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 class="sig sig-object py" id="torch.TypedStorage.bool">
<span class="sig-name descname"><span class="pre">bool</span></span><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 class="sig sig-object py" id="torch.TypedStorage.byte">
<span class="sig-name descname"><span class="pre">byte</span></span><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 class="sig sig-object py" id="torch.TypedStorage.char">
<span class="sig-name descname"><span class="pre">char</span></span><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 class="sig sig-object py" id="torch.TypedStorage.clone">
<span class="sig-name descname"><span class="pre">clone</span></span><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 class="sig sig-object py" id="torch.TypedStorage.complex_double">
<span class="sig-name descname"><span class="pre">complex_double</span></span><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 class="sig sig-object py" id="torch.TypedStorage.complex_float">
<span class="sig-name descname"><span class="pre">complex_float</span></span><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 class="sig sig-object py" id="torch.TypedStorage.copy_">
<span class="sig-name descname"><span class="pre">copy_</span></span><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><dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.cpu">
<span class="sig-name descname"><span class="pre">cpu</span></span><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 class="sig sig-object py" id="torch.TypedStorage.cuda">
<span class="sig-name descname"><span class="pre">cuda</span></span><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 v3.12)"><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 v3.12)"><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>
<dt class="field-even">Return type</dt>
<dd class="field-even"><p><em>T</em></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.data_ptr">
<span class="sig-name descname"><span class="pre">data_ptr</span></span><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 property">
<dt class="sig sig-object py" id="torch.TypedStorage.device">
<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#torch.TypedStorage.device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.double">
<span class="sig-name descname"><span class="pre">double</span></span><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 class="sig sig-object py" id="torch.TypedStorage.dtype">
<span class="sig-name descname"><span class="pre">dtype</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="tensor_attributes.html#torch.dtype" title="torch.dtype"><span class="pre">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 class="sig sig-object py" id="torch.TypedStorage.element_size">
<span class="sig-name descname"><span class="pre">element_size</span></span><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 class="sig sig-object py" id="torch.TypedStorage.fill_">
<span class="sig-name descname"><span class="pre">fill_</span></span><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 class="sig sig-object py" id="torch.TypedStorage.float">
<span class="sig-name descname"><span class="pre">float</span></span><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 class="sig sig-object py" id="torch.TypedStorage.from_buffer">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_buffer</span></span><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="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 class="sig sig-object py" id="torch.TypedStorage.from_file">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_file</span></span><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="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Storage</span></span></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 v3.12)"><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 v3.12)"><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 v3.12)"><em>int</em></a>) – number of elements in the storage</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.get_device">
<span class="sig-name descname"><span class="pre">get_device</span></span><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><dl class="field-list simple">
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)">int</a></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.half">
<span class="sig-name descname"><span class="pre">half</span></span><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 class="sig sig-object py" id="torch.TypedStorage.hpu">
<span class="sig-name descname"><span class="pre">hpu</span></span><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.hpu"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.TypedStorage.hpu" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a copy of this object in HPU memory.</p>
<p>If this object is already in HPU 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 v3.12)"><em>int</em></a>) – The destination HPU 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 v3.12)"><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>
<dt class="field-even">Return type</dt>
<dd class="field-even"><p><em>T</em></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.int">
<span class="sig-name descname"><span class="pre">int</span></span><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 property">
<dt class="sig sig-object py" id="torch.TypedStorage.is_cuda">
<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_cuda</span></span><a class="headerlink" href="#torch.TypedStorage.is_cuda" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py property">
<dt class="sig sig-object py" id="torch.TypedStorage.is_hpu">
<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_hpu</span></span><a class="headerlink" href="#torch.TypedStorage.is_hpu" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.is_pinned">
<span class="sig-name descname"><span class="pre">is_pinned</span></span><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">'cuda'</span></span></em><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><p>Determine whether the CPU TypedStorage is already pinned on device.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>device</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><a class="reference internal" href="tensor_attributes.html#torch.device" title="torch.device"><em>torch.device</em></a>) – The device to pin memory on. Default: <code class="docutils literal notranslate"><span class="pre">'cuda'</span></code></p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>A boolean variable.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.is_shared">
<span class="sig-name descname"><span class="pre">is_shared</span></span><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 class="sig sig-object py" id="torch.TypedStorage.is_sparse">
<span class="sig-name descname"><span class="pre">is_sparse</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </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 class="sig sig-object py" id="torch.TypedStorage.long">
<span class="sig-name descname"><span class="pre">long</span></span><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 class="sig sig-object py" id="torch.TypedStorage.nbytes">
<span class="sig-name descname"><span class="pre">nbytes</span></span><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 class="sig sig-object py" id="torch.TypedStorage.pickle_storage_type">
<span class="sig-name descname"><span class="pre">pickle_storage_type</span></span><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 class="sig sig-object py" id="torch.TypedStorage.pin_memory">
<span class="sig-name descname"><span class="pre">pin_memory</span></span><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">'cuda'</span></span></em><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>Copies the CPU TypedStorage to pinned memory, if it’s not already pinned.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>device</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><a class="reference internal" href="tensor_attributes.html#torch.device" title="torch.device"><em>torch.device</em></a>) – The device to pin memory on. Default: <code class="docutils literal notranslate"><span class="pre">'cuda'</span></code>.</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>A pinned CPU storage.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.resize_">
<span class="sig-name descname"><span class="pre">resize_</span></span><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 class="sig sig-object py" id="torch.TypedStorage.share_memory_">
<span class="sig-name descname"><span class="pre">share_memory_</span></span><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 class="sig sig-object py" id="torch.TypedStorage.short">
<span class="sig-name descname"><span class="pre">short</span></span><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 class="sig sig-object py" id="torch.TypedStorage.size">
<span class="sig-name descname"><span class="pre">size</span></span><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 class="sig sig-object py" id="torch.TypedStorage.tolist">
<span class="sig-name descname"><span class="pre">tolist</span></span><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 class="sig sig-object py" id="torch.TypedStorage.type">
<span class="sig-name descname"><span class="pre">type</span></span><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 v3.12)"><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 v3.12)"><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>
<dt class="field-even">Return type</dt>
<dd class="field-even"><p><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.12)"><em>Union</em></a>[<em>T</em>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)">str</a>]</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.TypedStorage.untyped">
<span class="sig-name descname"><span class="pre">untyped</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/storage.html#TypedStorage.untyped"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.TypedStorage.untyped" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the internal <a class="reference internal" href="#torch.UntypedStorage" title="torch.UntypedStorage"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.UntypedStorage</span></code></a></p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="torch.UntypedStorage">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.</span></span><span class="sig-name descname"><span class="pre">UntypedStorage</span></span><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="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#UntypedStorage"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.UntypedStorage" title="Permalink to this definition">¶</a></dt>
<dd><dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.bfloat16">
<span class="sig-name descname"><span class="pre">bfloat16</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.bfloat16" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to bfloat16 type</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.bool">
<span class="sig-name descname"><span class="pre">bool</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.bool" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to bool type</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.byte">
<span class="sig-name descname"><span class="pre">byte</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.byte" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to byte type</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.byteswap">
<span class="sig-name descname"><span class="pre">byteswap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dtype</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.byteswap" title="Permalink to this definition">¶</a></dt>
<dd><p>Swaps bytes in underlying data</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.char">
<span class="sig-name descname"><span class="pre">char</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.char" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to char type</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.clone">
<span class="sig-name descname"><span class="pre">clone</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.clone" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a copy of this storage</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.complex_double">
<span class="sig-name descname"><span class="pre">complex_double</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.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 class="sig sig-object py" id="torch.UntypedStorage.complex_float">
<span class="sig-name descname"><span class="pre">complex_float</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.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 class="sig sig-object py" id="torch.UntypedStorage.copy_">
<span class="sig-name descname"><span class="pre">copy_</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.copy_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.cpu">
<span class="sig-name descname"><span class="pre">cpu</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.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 class="sig sig-object py" id="torch.UntypedStorage.cuda">
<span class="sig-name descname"><span class="pre">cuda</span></span><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="headerlink" href="#torch.UntypedStorage.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 v3.12)"><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 v3.12)"><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 class="sig sig-object py" id="torch.UntypedStorage.data_ptr">
<span class="sig-name descname"><span class="pre">data_ptr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.data_ptr" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="torch.UntypedStorage.device">
<span class="sig-name descname"><span class="pre">device</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="tensor_attributes.html#torch.device" title="torch.device"><span class="pre">device</span></a></em><a class="headerlink" href="#torch.UntypedStorage.device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.double">
<span class="sig-name descname"><span class="pre">double</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.double" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to double type</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.element_size">
<span class="sig-name descname"><span class="pre">element_size</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.element_size" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.fill_">
<span class="sig-name descname"><span class="pre">fill_</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.fill_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.float">
<span class="sig-name descname"><span class="pre">float</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.float" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to float type</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.from_buffer">
<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_buffer</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.from_buffer" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.from_file">
<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_file</span></span><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="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Storage</span></span></span><a class="headerlink" href="#torch.UntypedStorage.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 v3.12)"><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 v3.12)"><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 v3.12)"><em>int</em></a>) – number of elements in the storage</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.get_device">
<span class="sig-name descname"><span class="pre">get_device</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.get_device" title="Permalink to this definition">¶</a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)">int</a></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.half">
<span class="sig-name descname"><span class="pre">half</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.half" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to half type</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.hpu">
<span class="sig-name descname"><span class="pre">hpu</span></span><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="headerlink" href="#torch.UntypedStorage.hpu" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a copy of this object in HPU memory.</p>
<p>If this object is already in HPU 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 v3.12)"><em>int</em></a>) – The destination HPU 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 v3.12)"><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 class="sig sig-object py" id="torch.UntypedStorage.int">
<span class="sig-name descname"><span class="pre">int</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.int" title="Permalink to this definition">¶</a></dt>
<dd><p>Casts this storage to int type</p>
</dd></dl>
<dl class="py property">
<dt class="sig sig-object py" id="torch.UntypedStorage.is_cuda">
<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_cuda</span></span><a class="headerlink" href="#torch.UntypedStorage.is_cuda" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py property">
<dt class="sig sig-object py" id="torch.UntypedStorage.is_hpu">
<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_hpu</span></span><a class="headerlink" href="#torch.UntypedStorage.is_hpu" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.UntypedStorage.is_pinned">
<span class="sig-name descname"><span class="pre">is_pinned</span></span><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">'cuda'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torch.UntypedStorage.is_pinned" title="Permalink to this definition">¶</a></dt>
<dd><p>Determine whether the CPU storage is already pinned on device.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>device</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><a class="reference internal" href="tensor_attributes.html#torch.device" title="torch.device"><em>torch.device</em></a>) – The device to pin memory on. Default: <code class="docutils literal notranslate"><span class="pre">'cuda'</span></code>.</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>A boolean variable.</p>
</dd>
</dl>
</dd></dl>