TrainablePositionalEmbedding
============================

Generates trainable position embedding for a given 1-d sequence.

**Abstract Signature:**

``TrainablePositionalEmbedding(max_seq_length: int = 10240, embedding_dims: int = 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.Embedding</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.Embedding.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Flax NNX_1" class="op-tab-pane "><h4>Flax NNX</h4><div class="op-detail-row"><span class="label">API:</span> <code>flax.nnx.Embed</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=flax.nnx.Embed" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="PaxML / Praxis_2" class="op-tab-pane "><h4>PaxML / Praxis</h4><div class="op-detail-row"><span class="label">API:</span> <code>praxis.layers.TrainablePositionalEmbedding</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.TrainablePositionalEmbedding&type=code" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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