Conv
====

Auto-discovered via Consensus (Score: 3.0)

**Abstract Signature:**

``Conv(dtype, groups, kernel_size, out_channels, padding, strides, use_bias)``

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        <div id="Keras_0" class="op-tab-pane active"><h4>Keras</h4><div class="op-detail-row"><span class="label">API:</span> <code>keras.ops.nn.conv</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.nn.conv" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="TensorFlow_1" class="op-tab-pane "><h4>TensorFlow</h4><div class="op-detail-row"><span class="label">API:</span> <code>tf.conv</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/conv" 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>nnx.nn.linear.Conv</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=nnx.nn.linear.Conv" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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