MeanSquaredLogarithmicError
===========================

Computes the mean squared logarithmic error between y_true & y_pred.

**Abstract Signature:**

``MeanSquaredLogarithmicError(y_true: Tensor, y_pred: 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, 'Keras_2')">Keras</button><button class="op-tab-btn " onclick="openOpTab(event, 'TensorFlow_3')">TensorFlow</button><button class="op-tab-btn " onclick="openOpTab(event, 'Flax NNX_4')">Flax NNX</button><button class="op-tab-btn " onclick="openOpTab(event, 'PaxML / Praxis_5')">PaxML / Praxis</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>—</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'torch.nn.functional.mse_loss(torch.log1p({y_true}), torch.log1p({y_pred}), reduction='none')'</span></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>—</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'optax.squared_error(jax.numpy.log1p({y_true}), jax.numpy.log1p({y_pred}))'</span></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.losses.mean_squared_logarithmic_error</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.mean_squared_logarithmic_error" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="TensorFlow_3" class="op-tab-pane "><h4>TensorFlow</h4><div class="op-detail-row"><span class="label">API:</span> <code>tf.keras.losses.mean_squared_logarithmic_error</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/keras/losses/mean_squared_logarithmic_error" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Flax NNX_4" class="op-tab-pane "><h4>Flax NNX</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>Macro 'optax.squared_error(jax.numpy.log1p({y_true}), jax.numpy.log1p({y_pred}))'</span></div></div><div id="PaxML / Praxis_5" class="op-tab-pane "><h4>PaxML / Praxis</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>Macro 'optax.squared_error(jax.numpy.log1p({y_true}), jax.numpy.log1p({y_pred}))'</span></div></div> 
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