BlockMaskedMM
=============

Matrix multiplication with block masking.

**Abstract Signature:**

``BlockMaskedMM(a: Tensor, b: Tensor, block_size: int = 64, mask_out: Tensor, mask_lhs: Tensor, mask_rhs: Tensor)``

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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.sparse.bsr_spmm</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.sparse.bsr_spmm.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.core.block_masked_mm</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.core.block_masked_mm.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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