CosineEmbeddingLoss
===================

Creates a criterion that measures the loss given input tensors x1, x2 and a Tensor label y.

**Abstract Signature:**

``CosineEmbeddingLoss(input1: Tensor, input2: Tensor, target: Tensor, margin: float = 0.0, reduction: str = mean)``

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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.functional.cosine_embedding_loss</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.functional.cosine_embedding_loss.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.cosine_similarity_loss</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Plugin (loss_wrapper)</span></div></div> 
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