NarrowCopy
==========

Same as narrow except this returns a copy rather than shared storage.

**Abstract Signature:**

``NarrowCopy(input: Tensor, dim: int, start: int, length: int)``

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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.narrow_copy</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.narrow_copy.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>jax.lax.dynamic_slice_in_dim</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://jax.readthedocs.io/en/latest/_autosummary/jax.lax.dynamic_slice_in_dim.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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