RandnLike
=========

Returns a tensor with the same size as input that is filled with random numbers from a normal distribution.

**Abstract Signature:**

``RandnLike(input: Tensor)``

.. raw:: html

 
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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.randn_like</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.randn_like.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.random.normal</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Plugin (inject_prng)</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>np.random.standard_normal</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'np.random.standard_normal({input}.shape)'</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.random.normal</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'keras.random.normal({input}.shape)'</span></div></div><div id="TensorFlow_4" class="op-tab-pane "><h4>TensorFlow</h4><div class="op-detail-row"><span class="label">API:</span> <code>tf.random.normal</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'tf.random.normal({input}.shape)'</span></div></div><div id="Apple MLX_5" class="op-tab-pane "><h4>Apple MLX</h4><div class="op-detail-row"><span class="label">API:</span> <code>mlx.core.random.normal</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'mlx.core.random.normal({input}.shape)'</span></div></div> 
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