MinPool
=======

Pools the input by taking the minimum of a window slice.

**Abstract Signature:**

``MinPool(inputs: Tensor, window_shape: Union[int, Tuple[int, ...]], strides: Union[int, Tuple[int, ...]], padding: str = VALID)``

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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>—</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro '-torch.nn.functional.max_pool2d(-{inputs}, kernel_size={window_shape}, stride={strides})'</span></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.min_pool</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.min_pool" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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