AsContiguousArray
=================

Return a contiguous array (ndim >= 1) in memory (C order).

**Abstract Signature:**

``AsContiguousArray(a: Tensor, dtype: str)``

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        <button class="op-tab-btn active" onclick="openOpTab(event, 'PyTorch_0')">PyTorch</button><button class="op-tab-btn " onclick="openOpTab(event, 'JAX (Core)_1')">JAX (Core)</button><button class="op-tab-btn " onclick="openOpTab(event, 'NumPy_2')">NumPy</button><button class="op-tab-btn " onclick="openOpTab(event, 'TensorFlow_3')">TensorFlow</button><button class="op-tab-btn " onclick="openOpTab(event, 'Flax NNX_4')">Flax NNX</button><button class="op-tab-btn " onclick="openOpTab(event, 'PaxML / Praxis_5')">PaxML / Praxis</button> 
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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.as_tensor</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Macro 'torch.as_tensor({a}, dtype={dtype}).contiguous()'</span></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.numpy.ascontiguousarray</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.numpy.ascontiguousarray.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="NumPy_2" class="op-tab-pane "><h4>NumPy</h4><div class="op-detail-row"><span class="label">API:</span> <code>numpy.ascontiguousarray</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://numpy.org/doc/stable/reference/generated/numpy.ascontiguousarray.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="TensorFlow_3" class="op-tab-pane "><h4>TensorFlow</h4><div class="op-detail-row"><span class="label">API:</span> <code>tf.experimental.numpy.ascontiguousarray</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://www.tensorflow.org/api_docs/python/tf/experimental/numpy/ascontiguousarray" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="Flax NNX_4" class="op-tab-pane "><h4>Flax NNX</h4><div class="op-detail-row"><span class="label">API:</span> <code>jax.numpy.ascontiguousarray</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=jax.numpy.ascontiguousarray" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="PaxML / Praxis_5" class="op-tab-pane "><h4>PaxML / Praxis</h4><div class="op-detail-row"><span class="label">API:</span> <code>jax.numpy.ascontiguousarray</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://github.com/search?q=repo%3Agoogle%2Fpaxml+jax.numpy.ascontiguousarray&type=code" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div> 
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