LobPCG
======

Finds the k largest/smallest eigenvalues using LOBPCG.

**Abstract Signature:**

``LobPCG(A: Tensor, k: int = 1, B: Tensor)``

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        <div id="PyTorch_0" class="op-tab-pane active"><h4>PyTorch</h4><div class="op-detail-row"><span class="label">API:</span> <code>torch.lobpcg</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://pytorch.org/docs/stable/generated/torch.lobpcg.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="JAX (Core)_1" class="op-tab-pane "><h4>JAX (Core)</h4><div class="op-detail-row"><span class="label">API:</span> <code>jax.scipy.sparse.linalg.lobpcg</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://jax.readthedocs.io/en/latest/_autosummary/jax.scipy.sparse.linalg.lobpcg.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="NumPy_2" class="op-tab-pane "><h4>NumPy</h4><div class="op-detail-row"><span class="label">API:</span> <code>scipy.sparse.linalg.lobpcg</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://numpy.org/doc/stable/reference/generated/scipy.sparse.linalg.lobpcg.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Flax NNX_3" class="op-tab-pane "><h4>Flax NNX</h4><div class="op-detail-row"><span class="label">API:</span> <code>jax.scipy.sparse.linalg.lobpcg</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://flax.readthedocs.io/en/latest/search.html?q=jax.scipy.sparse.linalg.lobpcg" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="PaxML / Praxis_4" class="op-tab-pane "><h4>PaxML / Praxis</h4><div class="op-detail-row"><span class="label">API:</span> <code>jax.scipy.sparse.linalg.lobpcg</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://github.com/search?q=repo%3Agoogle%2Fpaxml+jax.scipy.sparse.linalg.lobpcg&type=code" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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