matrix_norm
===========

Computes the matrix norm of a matrix (or a stack of matrices) ``x``.

**Abstract Signature:**

``matrix_norm(x: array, keepdims: bool, ord: Optional[Union[int, float, Literal[inf, Any, fro, nuc]]])``

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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.linalg.matrix_norm</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.linalg.matrix_norm.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.numpy.linalg.matrix_norm</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.numpy.linalg.matrix_norm.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Flax NNX_2" class="op-tab-pane "><h4>Flax NNX</h4><div class="op-detail-row"><span class="label">API:</span> <code>jax.numpy.linalg.matrix_norm</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.numpy.linalg.matrix_norm" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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