PairwiseDistance
================

Computes the pairwise distance between vectors.

**Abstract Signature:**

``PairwiseDistance(x1: Tensor, x2: Tensor, p: float = 2.0)``

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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.pairwise_distance</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.pairwise_distance.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.norm</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'jnp.linalg.norm({x1} - {x2}, ord={p})'</span></div></div><div id="NumPy_2" class="op-tab-pane "><h4>NumPy</h4><div class="op-detail-row"><span class="label">API:</span> <code>numpy.linalg.norm</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'np.linalg.norm({x1} - {x2}, ord={p})'</span></div></div><div id="Keras_3" class="op-tab-pane "><h4>Keras</h4><div class="op-detail-row"><span class="label">API:</span> <code>keras.ops.norm</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'keras.ops.norm({x1} - {x2}, ord={p})'</span></div></div> 
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