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<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">torchjd.autogram.</span></span><spanclass="sig-name descname"><spanclass="pre">Engine</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">*</span></span><spanclass="n"><spanclass="pre">modules</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">batch_dim</span></span></em><spanclass="sig-paren">)</span><aclass="reference external" href="https://github.com/TorchJD/torchjd/blob/main/src/torchjd/autogram/_engine.py#L46-L337"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink" href="#torchjd.autogram.Engine" title="Link to this definition">¶</a></dt>
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<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">torchjd.autogram.</span></span><spanclass="sig-name descname"><spanclass="pre">Engine</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">*</span></span><spanclass="n"><spanclass="pre">modules</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">batch_dim</span></span></em><spanclass="sig-paren">)</span><aclass="reference external" href="https://github.com/TorchJD/torchjd/blob/main/src/torchjd/autogram/_engine.py#L46-L335"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink" href="#torchjd.autogram.Engine" title="Link to this definition">¶</a></dt>
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<dd><p>Engine to compute the Gramian of the Jacobian of some tensor with respect to the direct
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parameters of all provided modules. It is based on Algorithm 3 of <aclass="reference external" href="https://arxiv.org/pdf/2406.16232">Jacobian Descent For
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Multi-Objective Optimization</a> but goes even further:</p>
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