BinaryCrossEntropyWithLogits
============================

Computes Binary Cross Entropy with Logits.

**Abstract Signature:**

``BinaryCrossEntropyWithLogits(input, target, weight, pos_weight, reduction)``

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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.binary_cross_entropy_with_logits</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.binary_cross_entropy_with_logits.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>optax.sigmoid_binary_cross_entropy</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Plugin (loss_reduction)</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>—</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Custom / Partial</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.losses.binary_crossentropy</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.losses.binary_crossentropy" 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.nn.sigmoid_cross_entropy_with_logits</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/nn/sigmoid_cross_entropy_with_logits" 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>mlx.nn.losses.binary_cross_entropy</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/mlx.nn.losses.binary_cross_entropy.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Flax NNX_6" class="op-tab-pane "><h4>Flax NNX</h4><div class="op-detail-row"><span class="label">API:</span> <code>optax.sigmoid_binary_cross_entropy</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Plugin (loss_reduction)</span></div></div><div id="PaxML / Praxis_7" class="op-tab-pane "><h4>PaxML / Praxis</h4><div class="op-detail-row"><span class="label">API:</span> <code>optax.sigmoid_binary_cross_entropy</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Plugin (loss_reduction)</span></div></div> 
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