Mul
===

Performs element-wise binary multiplication (with Numpy-style broadcasting support). This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md). (Opset 14 change): Extend supported types to include uint8, int8, uint16, and i...

**Abstract Signature:**

``Mul(A: Tensor, B: Tensor)``

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        <button class="op-tab-btn active" onclick="openOpTab(event, 'PyTorch_0')">PyTorch</button><button class="op-tab-btn " onclick="openOpTab(event, 'JAX (Core)_1')">JAX (Core)</button><button class="op-tab-btn " onclick="openOpTab(event, 'NumPy_2')">NumPy</button><button class="op-tab-btn " onclick="openOpTab(event, 'Keras_3')">Keras</button><button class="op-tab-btn " onclick="openOpTab(event, 'TensorFlow_4')">TensorFlow</button><button class="op-tab-btn " onclick="openOpTab(event, 'Apple MLX_5')">Apple MLX</button><button class="op-tab-btn " onclick="openOpTab(event, 'NVIDIA SASS_6')">NVIDIA SASS</button><button class="op-tab-btn " onclick="openOpTab(event, 'AMD RDNA_7')">AMD RDNA</button><button class="op-tab-btn " onclick="openOpTab(event, 'Flax NNX_8')">Flax NNX</button> 
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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.mul</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.mul.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>jnp.multiply</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.multiply.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>np.multiply</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Infix (*)</span></div><div class="op-detail-row"><a href="https://numpy.org/doc/stable/reference/generated/np.multiply.html" target="_blank" class="op-doc-link">Official Docs ↗</a></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.multiply</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.multiply" target="_blank" class="op-doc-link">Official Docs ↗</a></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.math.multiply</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://www.tensorflow.org/api_docs/python/tf/math/multiply" target="_blank" class="op-doc-link">Official Docs ↗</a></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>mx.multiply</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://ml-explore.github.io/mlx/build/html/python/_autosummary/mx.multiply.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="NVIDIA SASS_6" class="op-tab-pane "><h4>NVIDIA SASS</h4><div class="op-detail-row"><span class="label">API:</span> <code>FMUL</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div></div><div id="AMD RDNA_7" class="op-tab-pane "><h4>AMD RDNA</h4><div class="op-detail-row"><span class="label">API:</span> <code>v_mul_f32</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://gpuopen.com/learn/rdna-performance-guide/?q=v_mul_f32" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Flax NNX_8" class="op-tab-pane "><h4>Flax NNX</h4><div class="op-detail-row"><span class="label">API:</span> <code>optax.tree.mul</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=optax.tree.mul" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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