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<title>Tensor Slicer — parallelformers 1.0 documentation</title>
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<div class="section" id="module-parallelformers.parallel.slicing">
<span id="tensor-slicer"></span><h1>Tensor Slicer<a class="headerlink" href="#module-parallelformers.parallel.slicing" title="Permalink to this headline">¶</a></h1>
<dl class="py class">
<dt class="sig sig-object py" id="parallelformers.parallel.slicing.TensorSlicer">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">parallelformers.parallel.slicing.</span></span><span class="sig-name descname"><span class="pre">TensorSlicer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mp_group</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/parallelformers/parallel/slicing.html#TensorSlicer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#parallelformers.parallel.slicing.TensorSlicer" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.9)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
<p>An object that slices tensors into rows or columns as described in the Megatron LM paper</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>mp_group</strong> (<em>torch.distributed.ProcessGroupNCCL</em>) – Distributed group for model parallelism</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="parallelformers.parallel.slicing.TensorSlicer.slice_tensor">
<span class="sig-name descname"><span class="pre">slice_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_bias</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><span class="pre">bool</span></a></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">Tuple</span></span></span><a class="reference internal" href="../_modules/parallelformers/parallel/slicing.html#TensorSlicer.slice_tensor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#parallelformers.parallel.slicing.TensorSlicer.slice_tensor" title="Permalink to this definition">¶</a></dt>
<dd><p>Slice tensors into rows or columns as described in the Megatron LM paper</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>tensor</strong> (<em>Dict</em>) – tensor dictionaries</p></li>
<li><p><strong>attributes</strong> (<em>Dict</em>) – attributes dictionaries</p></li>
<li><p><strong>dim</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a>) – dimension for slicing</p></li>
<li><p><strong>is_bias</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a>) – whether tensor is bias or not</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>tuple of sliced tensors</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>Tuple</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="parallelformers.parallel.slicing.TensorSlicer.slice_weight_and_bias">
<span class="sig-name descname"><span class="pre">slice_weight_and_bias</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">policy_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">slice_bias</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><span class="pre">bool</span></a></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">Tuple</span></span></span><a class="reference internal" href="../_modules/parallelformers/parallel/slicing.html#TensorSlicer.slice_weight_and_bias"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#parallelformers.parallel.slicing.TensorSlicer.slice_weight_and_bias" title="Permalink to this definition">¶</a></dt>
<dd><p>Slice weight and bias for model parallelization</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>policy_inputs</strong> (<em>Tuple</em>) – tuple of weight and bias dictionaries</p></li>
<li><p><strong>attributes</strong> (<em>Tuple</em>) – tuple of weight attributes and bias attributes dictionaries</p></li>
<li><p><strong>dim</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a>) – dimension for slicing</p></li>
<li><p><strong>slice_bias</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a>) – whether slice bias or not</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>tuple of weights and biases</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>Tuple</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="parallelformers.parallel.slicing.TensorSlicer.column_slice">
<span class="sig-name descname"><span class="pre">column_slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">policy_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Tuple</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">Tuple</span></span></span><a class="reference internal" href="../_modules/parallelformers/parallel/slicing.html#TensorSlicer.column_slice"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#parallelformers.parallel.slicing.TensorSlicer.column_slice" title="Permalink to this definition">¶</a></dt>
<dd><p>Slice tensors in the column direction.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>policy_inputs</strong> (<em>Tuple</em>) – tuple of weight and bias dictionaries</p></li>
<li><p><strong>attributes</strong> (<em>Tuple</em>) – tuple of weight attributes and bias attributes dictionaries</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>tuple of weights and biases</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>Tuple</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="parallelformers.parallel.slicing.TensorSlicer.row_slice">
<span class="sig-name descname"><span class="pre">row_slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">policy_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Tuple</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">Tuple</span></span></span><a class="reference internal" href="../_modules/parallelformers/parallel/slicing.html#TensorSlicer.row_slice"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#parallelformers.parallel.slicing.TensorSlicer.row_slice" title="Permalink to this definition">¶</a></dt>
<dd><p>Slice tensors in the row direction.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>policy_inputs</strong> (<em>Tuple</em>) – tuple of weight and bias dictionaries</p></li>
<li><p><strong>attributes</strong> (<em>Tuple</em>) – tuple of weight attributes and bias attributes dictionaries</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>tuple of weights and biases</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>Tuple</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
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