LogSoftmax
==========

The operator computes the log of softmax values for the given input: LogSoftmax(input, axis) = Log(Softmax(input, axis=axis)) The "axis" attribute indicates the dimension along which LogSoftmax will be performed. The output tensor has the same shape and contains the LogSoftmax values of the correspo...

**Abstract Signature:**

``LogSoftmax(input: Tensor, axis: int)``

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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.nn.modules.activation.LogSoftmax</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.nn.modules.activation.LogSoftmax.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Apple MLX_1" class="op-tab-pane "><h4>Apple MLX</h4><div class="op-detail-row"><span class="label">API:</span> <code>mlx.nn.layers.activations.LogSoftmax</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.layers.activations.LogSoftmax.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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