Vectorize
=========

Returns an object that acts like pyfunc, but takes arrays as input.

**Abstract Signature:**

``Vectorize(pyfunc: Callable)``

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        <div id="JAX (Core)_0" class="op-tab-pane active"><h4>JAX (Core)</h4><div class="op-detail-row"><span class="label">API:</span> <code>jnp.vectorize</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/jnp.vectorize.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="NumPy_1" class="op-tab-pane "><h4>NumPy</h4><div class="op-detail-row"><span class="label">API:</span> <code>numpy.vectorize</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/numpy.vectorize.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Keras_2" class="op-tab-pane "><h4>Keras</h4><div class="op-detail-row"><span class="label">API:</span> <code>keras.ops.vectorize</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://keras.io/search.html?q=keras.ops.vectorize" 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.numpy.vectorize</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.vectorize" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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