TransformerFeedForward
======================

Transformer feedforward layer with residual connection and dropout.

**Abstract Signature:**

``TransformerFeedForward(input_dims: int, hidden_dims: int, dropout_prob: float = 0.0)``

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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.Sequential</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Plugin (transformer_ff_block)</span></div></div><div id="PaxML / Praxis_1" class="op-tab-pane "><h4>PaxML / Praxis</h4><div class="op-detail-row"><span class="label">API:</span> <code>praxis.layers.TransformerFeedForward</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://github.com/search?q=repo%3Agoogle%2Fpaxml+praxis.layers.TransformerFeedForward&type=code" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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