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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 <code class="xref py py-class docutils literal notranslate"><span class="pre">torch.Storage</span></code> is a contiguous, one-dimensional array of a single
data type.</p>
<p>Every <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> has a corresponding storage of the same data type.</p>
<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="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.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 method">
<dt id="torch.DoubleStorage.bfloat16">
<code class="sig-name descname"><span class="pre">bfloat16</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.bool">
<code class="sig-name descname"><span class="pre">bool</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.byte">
<code class="sig-name descname"><span class="pre">byte</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.char">
<code class="sig-name descname"><span class="pre">char</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.clone">
<code class="sig-name descname"><span class="pre">clone</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.copy_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.cpu">
<code class="sig-name descname"><span class="pre">cpu</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.cuda" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.data_ptr" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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.DoubleStorage.device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.double">
<code class="sig-name descname"><span class="pre">double</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><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>
<dl class="py method">
<dt id="torch.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.element_size" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.fill_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.float">
<code class="sig-name descname"><span class="pre">float</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.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="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.DoubleStorage.from_buffer" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.from_file" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.get_device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.half">
<code class="sig-name descname"><span class="pre">half</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.int">
<code class="sig-name descname"><span class="pre">int</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.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.DoubleStorage.is_cuda" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.is_pinned" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.is_shared" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="torch.DoubleStorage.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.DoubleStorage.is_sparse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.long">
<code class="sig-name descname"><span class="pre">long</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.nbytes">
<code class="sig-name descname"><span class="pre">nbytes</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.nbytes" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.pickle_storage_type" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.resize_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.short">
<code class="sig-name descname"><span class="pre">short</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.size">
<code class="sig-name descname"><span class="pre">size</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.size" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.DoubleStorage.tolist">
<code class="sig-name descname"><span class="pre">tolist</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.DoubleStorage.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.DoubleStorage.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="headerlink" href="#torch.DoubleStorage.type" 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="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.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 method">
<dt id="torch.FloatStorage.bfloat16">
<code class="sig-name descname"><span class="pre">bfloat16</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.bool">
<code class="sig-name descname"><span class="pre">bool</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.byte">
<code class="sig-name descname"><span class="pre">byte</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.char">
<code class="sig-name descname"><span class="pre">char</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.clone">
<code class="sig-name descname"><span class="pre">clone</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.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="headerlink" href="#torch.FloatStorage.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.FloatStorage.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="headerlink" href="#torch.FloatStorage.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.FloatStorage.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="headerlink" href="#torch.FloatStorage.copy_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.cpu">
<code class="sig-name descname"><span class="pre">cpu</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.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="headerlink" href="#torch.FloatStorage.cuda" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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="headerlink" href="#torch.FloatStorage.data_ptr" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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.FloatStorage.device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.double">
<code class="sig-name descname"><span class="pre">double</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><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>
<dl class="py method">
<dt id="torch.FloatStorage.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="headerlink" href="#torch.FloatStorage.element_size" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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="headerlink" href="#torch.FloatStorage.fill_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.float">
<code class="sig-name descname"><span class="pre">float</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.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="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.FloatStorage.from_buffer" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.from_file" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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="headerlink" href="#torch.FloatStorage.get_device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.half">
<code class="sig-name descname"><span class="pre">half</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.int">
<code class="sig-name descname"><span class="pre">int</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.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.FloatStorage.is_cuda" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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="headerlink" href="#torch.FloatStorage.is_pinned" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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="headerlink" href="#torch.FloatStorage.is_shared" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="torch.FloatStorage.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.FloatStorage.is_sparse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.long">
<code class="sig-name descname"><span class="pre">long</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.nbytes">
<code class="sig-name descname"><span class="pre">nbytes</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.nbytes" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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="headerlink" href="#torch.FloatStorage.pickle_storage_type" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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="headerlink" href="#torch.FloatStorage.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.FloatStorage.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="headerlink" href="#torch.FloatStorage.resize_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.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="headerlink" href="#torch.FloatStorage.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.FloatStorage.short">
<code class="sig-name descname"><span class="pre">short</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.size">
<code class="sig-name descname"><span class="pre">size</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.size" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.FloatStorage.tolist">
<code class="sig-name descname"><span class="pre">tolist</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.FloatStorage.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.FloatStorage.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="headerlink" href="#torch.FloatStorage.type" 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="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.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 method">
<dt id="torch.HalfStorage.bfloat16">
<code class="sig-name descname"><span class="pre">bfloat16</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.bool">
<code class="sig-name descname"><span class="pre">bool</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.byte">
<code class="sig-name descname"><span class="pre">byte</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.char">
<code class="sig-name descname"><span class="pre">char</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.clone">
<code class="sig-name descname"><span class="pre">clone</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.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="headerlink" href="#torch.HalfStorage.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.HalfStorage.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="headerlink" href="#torch.HalfStorage.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.HalfStorage.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="headerlink" href="#torch.HalfStorage.copy_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.cpu">
<code class="sig-name descname"><span class="pre">cpu</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.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="headerlink" href="#torch.HalfStorage.cuda" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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="headerlink" href="#torch.HalfStorage.data_ptr" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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.HalfStorage.device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.double">
<code class="sig-name descname"><span class="pre">double</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.dtype">
<code class="sig-name descname"><span class="pre">dtype</span></code><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>
<dl class="py method">
<dt id="torch.HalfStorage.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="headerlink" href="#torch.HalfStorage.element_size" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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="headerlink" href="#torch.HalfStorage.fill_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.float">
<code class="sig-name descname"><span class="pre">float</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.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="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.HalfStorage.from_buffer" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.from_file" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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="headerlink" href="#torch.HalfStorage.get_device" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.half">
<code class="sig-name descname"><span class="pre">half</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.int">
<code class="sig-name descname"><span class="pre">int</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.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.HalfStorage.is_cuda" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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="headerlink" href="#torch.HalfStorage.is_pinned" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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="headerlink" href="#torch.HalfStorage.is_shared" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="torch.HalfStorage.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.HalfStorage.is_sparse" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.long">
<code class="sig-name descname"><span class="pre">long</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.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.HalfStorage.nbytes">
<code class="sig-name descname"><span class="pre">nbytes</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#torch.HalfStorage.nbytes" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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="headerlink" href="#torch.HalfStorage.pickle_storage_type" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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="headerlink" href="#torch.HalfStorage.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.HalfStorage.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="headerlink" href="#torch.HalfStorage.resize_" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="torch.HalfStorage.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="headerlink" href="#torch.HalfStorage.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>