Sspaddmm
========

Sparse matrix multiply and add: t + beta * m1 @ m2

**Abstract Signature:**

``Sspaddmm(input: Tensor, mat1: Tensor, mat2: Tensor, beta: float = 1.0, alpha: float = 1.0)``

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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.sspaddmm</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.sspaddmm.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>—</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro '{beta} * {input} + {alpha} * jax.experimental.sparse.spmatmul({mat1}, {mat2})'</span></div></div> 
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