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@@ -8,7 +8,7 @@
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Operations &#8212; MLX 0.24.2 documentation</title>
<title>Operations &#8212; MLX 0.25.0 documentation</title>
@@ -36,7 +36,7 @@
<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>
<script src="../_static/documentation_options.js?v=029512cb"></script>
<script src="../_static/documentation_options.js?v=52c7255c"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
@@ -138,8 +138,8 @@
<img src="../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.24.2 documentation - Home"/>
<script>document.write(`<img src="../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.24.2 documentation - Home"/>`);</script>
<img src="../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.25.0 documentation - Home"/>
<script>document.write(`<img src="../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.25.0 documentation - Home"/>`);</script>
</a></div>
@@ -213,6 +213,7 @@
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.array.log10.html">mlx.core.array.log10</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.array.log1p.html">mlx.core.array.log1p</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.array.log2.html">mlx.core.array.log2</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.array.logcumsumexp.html">mlx.core.array.logcumsumexp</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.array.logsumexp.html">mlx.core.array.logsumexp</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.array.max.html">mlx.core.array.max</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.array.mean.html">mlx.core.array.mean</a></li>
@@ -359,6 +360,7 @@
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.log10.html">mlx.core.log10</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.log1p.html">mlx.core.log1p</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.logaddexp.html">mlx.core.logaddexp</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.logcumsumexp.html">mlx.core.logcumsumexp</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.logical_not.html">mlx.core.logical_not</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.logical_and.html">mlx.core.logical_and</a></li>
<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.logical_or.html">mlx.core.logical_or</a></li>
@@ -691,6 +693,7 @@
<li class="toctree-l3"><a class="reference internal" href="optimizers/_autosummary/mlx.optimizers.AdamW.html">mlx.optimizers.AdamW</a></li>
<li class="toctree-l3"><a class="reference internal" href="optimizers/_autosummary/mlx.optimizers.Adamax.html">mlx.optimizers.Adamax</a></li>
<li class="toctree-l3"><a class="reference internal" href="optimizers/_autosummary/mlx.optimizers.Lion.html">mlx.optimizers.Lion</a></li>
<li class="toctree-l3"><a class="reference internal" href="optimizers/_autosummary/mlx.optimizers.MultiOptimizer.html">mlx.optimizers.MultiOptimizer</a></li>
</ul>
</details></li>
<li class="toctree-l2 has-children"><a class="reference internal" href="optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
@@ -1188,235 +1191,238 @@ document.write(`
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.logaddexp.html#mlx.core.logaddexp" title="mlx.core.logaddexp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logaddexp</span></code></a>(a, b, /, *[, stream])</p></td>
<td><p>Element-wise log-add-exp.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.logical_not.html#mlx.core.logical_not" title="mlx.core.logical_not"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_not</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.logcumsumexp.html#mlx.core.logcumsumexp" title="mlx.core.logcumsumexp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logcumsumexp</span></code></a>(a, /[, axis, reverse, ...])</p></td>
<td><p>Return the cumulative logsumexp of the elements along the given axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.logical_not.html#mlx.core.logical_not" title="mlx.core.logical_not"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_not</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise logical not.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.logical_and.html#mlx.core.logical_and" title="mlx.core.logical_and"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_and</span></code></a>(a, b, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.logical_and.html#mlx.core.logical_and" title="mlx.core.logical_and"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_and</span></code></a>(a, b, /, *[, stream])</p></td>
<td><p>Element-wise logical and.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.logical_or.html#mlx.core.logical_or" title="mlx.core.logical_or"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_or</span></code></a>(a, b, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.logical_or.html#mlx.core.logical_or" title="mlx.core.logical_or"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logical_or</span></code></a>(a, b, /, *[, stream])</p></td>
<td><p>Element-wise logical or.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.logsumexp.html#mlx.core.logsumexp" title="mlx.core.logsumexp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logsumexp</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.logsumexp.html#mlx.core.logsumexp" title="mlx.core.logsumexp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">logsumexp</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<td><p>A <cite>log-sum-exp</cite> reduction over the given axes.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.matmul.html#mlx.core.matmul" title="mlx.core.matmul"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matmul</span></code></a>(a, b, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.matmul.html#mlx.core.matmul" title="mlx.core.matmul"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matmul</span></code></a>(a, b, /, *[, stream])</p></td>
<td><p>Matrix multiplication.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.max.html#mlx.core.max" title="mlx.core.max"><code class="xref py py-obj docutils literal notranslate"><span class="pre">max</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.max.html#mlx.core.max" title="mlx.core.max"><code class="xref py py-obj docutils literal notranslate"><span class="pre">max</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<td><p>A <cite>max</cite> reduction over the given axes.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.maximum.html#mlx.core.maximum" title="mlx.core.maximum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">maximum</span></code></a>(a, b, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.maximum.html#mlx.core.maximum" title="mlx.core.maximum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">maximum</span></code></a>(a, b, /, *[, stream])</p></td>
<td><p>Element-wise maximum.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.mean.html#mlx.core.mean" title="mlx.core.mean"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mean</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.mean.html#mlx.core.mean" title="mlx.core.mean"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mean</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<td><p>Compute the mean(s) over the given axes.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.meshgrid.html#mlx.core.meshgrid" title="mlx.core.meshgrid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meshgrid</span></code></a>(*arrays[, sparse, indexing, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.meshgrid.html#mlx.core.meshgrid" title="mlx.core.meshgrid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meshgrid</span></code></a>(*arrays[, sparse, indexing, stream])</p></td>
<td><p>Generate multidimensional coordinate grids from 1-D coordinate arrays</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.min.html#mlx.core.min" title="mlx.core.min"><code class="xref py py-obj docutils literal notranslate"><span class="pre">min</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.min.html#mlx.core.min" title="mlx.core.min"><code class="xref py py-obj docutils literal notranslate"><span class="pre">min</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<td><p>A <cite>min</cite> reduction over the given axes.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.minimum.html#mlx.core.minimum" title="mlx.core.minimum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">minimum</span></code></a>(a, b, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.minimum.html#mlx.core.minimum" title="mlx.core.minimum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">minimum</span></code></a>(a, b, /, *[, stream])</p></td>
<td><p>Element-wise minimum.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.moveaxis.html#mlx.core.moveaxis" title="mlx.core.moveaxis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">moveaxis</span></code></a>(a, /, source, destination, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.moveaxis.html#mlx.core.moveaxis" title="mlx.core.moveaxis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">moveaxis</span></code></a>(a, /, source, destination, *[, stream])</p></td>
<td><p>Move an axis to a new position.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.multiply.html#mlx.core.multiply" title="mlx.core.multiply"><code class="xref py py-obj docutils literal notranslate"><span class="pre">multiply</span></code></a>(a, b[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.multiply.html#mlx.core.multiply" title="mlx.core.multiply"><code class="xref py py-obj docutils literal notranslate"><span class="pre">multiply</span></code></a>(a, b[, stream])</p></td>
<td><p>Element-wise multiplication.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.nan_to_num.html#mlx.core.nan_to_num" title="mlx.core.nan_to_num"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nan_to_num</span></code></a>(a[, nan, posinf, neginf, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.nan_to_num.html#mlx.core.nan_to_num" title="mlx.core.nan_to_num"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nan_to_num</span></code></a>(a[, nan, posinf, neginf, stream])</p></td>
<td><p>Replace NaN and Inf values with finite numbers.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.negative.html#mlx.core.negative" title="mlx.core.negative"><code class="xref py py-obj docutils literal notranslate"><span class="pre">negative</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.negative.html#mlx.core.negative" title="mlx.core.negative"><code class="xref py py-obj docutils literal notranslate"><span class="pre">negative</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise negation.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.not_equal.html#mlx.core.not_equal" title="mlx.core.not_equal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">not_equal</span></code></a>(a, b[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.not_equal.html#mlx.core.not_equal" title="mlx.core.not_equal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">not_equal</span></code></a>(a, b[, stream])</p></td>
<td><p>Element-wise not equal.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.ones.html#mlx.core.ones" title="mlx.core.ones"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ones</span></code></a>(shape[, dtype, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.ones.html#mlx.core.ones" title="mlx.core.ones"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ones</span></code></a>(shape[, dtype, stream])</p></td>
<td><p>Construct an array of ones.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.ones_like.html#mlx.core.ones_like" title="mlx.core.ones_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ones_like</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.ones_like.html#mlx.core.ones_like" title="mlx.core.ones_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ones_like</span></code></a>(a, /, *[, stream])</p></td>
<td><p>An array of ones like the input.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.outer.html#mlx.core.outer" title="mlx.core.outer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">outer</span></code></a>(a, b, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.outer.html#mlx.core.outer" title="mlx.core.outer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">outer</span></code></a>(a, b, /, *[, stream])</p></td>
<td><p>Compute the outer product of two 1-D arrays, if the array's passed are not 1-D a flatten op will be run beforehand.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.partition.html#mlx.core.partition" title="mlx.core.partition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">partition</span></code></a>(a, /, kth[, axis, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.partition.html#mlx.core.partition" title="mlx.core.partition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">partition</span></code></a>(a, /, kth[, axis, stream])</p></td>
<td><p>Returns a partitioned copy of the array such that the smaller <code class="docutils literal notranslate"><span class="pre">kth</span></code> elements are first.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.pad.html#mlx.core.pad" title="mlx.core.pad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pad</span></code></a>(a, pad_width[, mode, constant_values, ...])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.pad.html#mlx.core.pad" title="mlx.core.pad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pad</span></code></a>(a, pad_width[, mode, constant_values, ...])</p></td>
<td><p>Pad an array with a constant value</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.power.html#mlx.core.power" title="mlx.core.power"><code class="xref py py-obj docutils literal notranslate"><span class="pre">power</span></code></a>(a, b, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.power.html#mlx.core.power" title="mlx.core.power"><code class="xref py py-obj docutils literal notranslate"><span class="pre">power</span></code></a>(a, b, /, *[, stream])</p></td>
<td><p>Element-wise power operation.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.prod.html#mlx.core.prod" title="mlx.core.prod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">prod</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.prod.html#mlx.core.prod" title="mlx.core.prod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">prod</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<td><p>An product reduction over the given axes.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.put_along_axis.html#mlx.core.put_along_axis" title="mlx.core.put_along_axis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">put_along_axis</span></code></a>(a, /, indices, values[, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.put_along_axis.html#mlx.core.put_along_axis" title="mlx.core.put_along_axis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">put_along_axis</span></code></a>(a, /, indices, values[, ...])</p></td>
<td><p>Put values along an axis at the specified indices.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.quantize.html#mlx.core.quantize" title="mlx.core.quantize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">quantize</span></code></a>(w, /[, group_size, bits, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.quantize.html#mlx.core.quantize" title="mlx.core.quantize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">quantize</span></code></a>(w, /[, group_size, bits, stream])</p></td>
<td><p>Quantize the matrix <code class="docutils literal notranslate"><span class="pre">w</span></code> using <code class="docutils literal notranslate"><span class="pre">bits</span></code> bits per element.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.quantized_matmul.html#mlx.core.quantized_matmul" title="mlx.core.quantized_matmul"><code class="xref py py-obj docutils literal notranslate"><span class="pre">quantized_matmul</span></code></a>(x, w, /, scales, biases[, ...])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.quantized_matmul.html#mlx.core.quantized_matmul" title="mlx.core.quantized_matmul"><code class="xref py py-obj docutils literal notranslate"><span class="pre">quantized_matmul</span></code></a>(x, w, /, scales, biases[, ...])</p></td>
<td><p>Perform the matrix multiplication with the quantized matrix <code class="docutils literal notranslate"><span class="pre">w</span></code>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.radians.html#mlx.core.radians" title="mlx.core.radians"><code class="xref py py-obj docutils literal notranslate"><span class="pre">radians</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.radians.html#mlx.core.radians" title="mlx.core.radians"><code class="xref py py-obj docutils literal notranslate"><span class="pre">radians</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Convert angles from degrees to radians.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.real.html#mlx.core.real" title="mlx.core.real"><code class="xref py py-obj docutils literal notranslate"><span class="pre">real</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.real.html#mlx.core.real" title="mlx.core.real"><code class="xref py py-obj docutils literal notranslate"><span class="pre">real</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Returns the real part of a complex array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.reciprocal.html#mlx.core.reciprocal" title="mlx.core.reciprocal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reciprocal</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.reciprocal.html#mlx.core.reciprocal" title="mlx.core.reciprocal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reciprocal</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise reciprocal.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.remainder.html#mlx.core.remainder" title="mlx.core.remainder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">remainder</span></code></a>(a, b[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.remainder.html#mlx.core.remainder" title="mlx.core.remainder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">remainder</span></code></a>(a, b[, stream])</p></td>
<td><p>Element-wise remainder of division.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.repeat.html#mlx.core.repeat" title="mlx.core.repeat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">repeat</span></code></a>(array, repeats[, axis, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.repeat.html#mlx.core.repeat" title="mlx.core.repeat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">repeat</span></code></a>(array, repeats[, axis, stream])</p></td>
<td><p>Repeat an array along a specified axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.reshape.html#mlx.core.reshape" title="mlx.core.reshape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reshape</span></code></a>(a, /, shape, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.reshape.html#mlx.core.reshape" title="mlx.core.reshape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reshape</span></code></a>(a, /, shape, *[, stream])</p></td>
<td><p>Reshape an array while preserving the size.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.right_shift.html#mlx.core.right_shift" title="mlx.core.right_shift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">right_shift</span></code></a>(a, b[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.right_shift.html#mlx.core.right_shift" title="mlx.core.right_shift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">right_shift</span></code></a>(a, b[, stream])</p></td>
<td><p>Element-wise right shift.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.roll.html#mlx.core.roll" title="mlx.core.roll"><code class="xref py py-obj docutils literal notranslate"><span class="pre">roll</span></code></a>(a, shift[, axis, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.roll.html#mlx.core.roll" title="mlx.core.roll"><code class="xref py py-obj docutils literal notranslate"><span class="pre">roll</span></code></a>(a, shift[, axis, stream])</p></td>
<td><p>Roll array elements along a given axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.round.html#mlx.core.round" title="mlx.core.round"><code class="xref py py-obj docutils literal notranslate"><span class="pre">round</span></code></a>(a, /[, decimals, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.round.html#mlx.core.round" title="mlx.core.round"><code class="xref py py-obj docutils literal notranslate"><span class="pre">round</span></code></a>(a, /[, decimals, stream])</p></td>
<td><p>Round to the given number of decimals.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.rsqrt.html#mlx.core.rsqrt" title="mlx.core.rsqrt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rsqrt</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.rsqrt.html#mlx.core.rsqrt" title="mlx.core.rsqrt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rsqrt</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise reciprocal and square root.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.save.html#mlx.core.save" title="mlx.core.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(file, arr)</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.save.html#mlx.core.save" title="mlx.core.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(file, arr)</p></td>
<td><p>Save the array to a binary file in <code class="docutils literal notranslate"><span class="pre">.npy</span></code> format.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.savez.html#mlx.core.savez" title="mlx.core.savez"><code class="xref py py-obj docutils literal notranslate"><span class="pre">savez</span></code></a>(file, *args, **kwargs)</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.savez.html#mlx.core.savez" title="mlx.core.savez"><code class="xref py py-obj docutils literal notranslate"><span class="pre">savez</span></code></a>(file, *args, **kwargs)</p></td>
<td><p>Save several arrays to a binary file in uncompressed <code class="docutils literal notranslate"><span class="pre">.npz</span></code> format.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.savez_compressed.html#mlx.core.savez_compressed" title="mlx.core.savez_compressed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">savez_compressed</span></code></a>(file, *args, **kwargs)</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.savez_compressed.html#mlx.core.savez_compressed" title="mlx.core.savez_compressed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">savez_compressed</span></code></a>(file, *args, **kwargs)</p></td>
<td><p>Save several arrays to a binary file in compressed <code class="docutils literal notranslate"><span class="pre">.npz</span></code> format.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.save_gguf.html#mlx.core.save_gguf" title="mlx.core.save_gguf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_gguf</span></code></a>(file, arrays, metadata)</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.save_gguf.html#mlx.core.save_gguf" title="mlx.core.save_gguf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_gguf</span></code></a>(file, arrays, metadata)</p></td>
<td><p>Save array(s) to a binary file in <code class="docutils literal notranslate"><span class="pre">.gguf</span></code> format.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.save_safetensors.html#mlx.core.save_safetensors" title="mlx.core.save_safetensors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_safetensors</span></code></a>(file, arrays[, metadata])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.save_safetensors.html#mlx.core.save_safetensors" title="mlx.core.save_safetensors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_safetensors</span></code></a>(file, arrays[, metadata])</p></td>
<td><p>Save array(s) to a binary file in <code class="docutils literal notranslate"><span class="pre">.safetensors</span></code> format.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.sigmoid.html#mlx.core.sigmoid" title="mlx.core.sigmoid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sigmoid</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.sigmoid.html#mlx.core.sigmoid" title="mlx.core.sigmoid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sigmoid</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise logistic sigmoid.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.sign.html#mlx.core.sign" title="mlx.core.sign"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sign</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.sign.html#mlx.core.sign" title="mlx.core.sign"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sign</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise sign.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.sin.html#mlx.core.sin" title="mlx.core.sin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sin</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.sin.html#mlx.core.sin" title="mlx.core.sin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sin</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise sine.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.sinh.html#mlx.core.sinh" title="mlx.core.sinh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sinh</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.sinh.html#mlx.core.sinh" title="mlx.core.sinh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sinh</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise hyperbolic sine.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.slice.html#mlx.core.slice" title="mlx.core.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(a, start_indices, axes, slice_size, *)</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.slice.html#mlx.core.slice" title="mlx.core.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(a, start_indices, axes, slice_size, *)</p></td>
<td><p>Extract a sub-array from the input array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.slice_update.html#mlx.core.slice_update" title="mlx.core.slice_update"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice_update</span></code></a>(a, update, start_indices, axes, *)</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.slice_update.html#mlx.core.slice_update" title="mlx.core.slice_update"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice_update</span></code></a>(a, update, start_indices, axes, *)</p></td>
<td><p>Update a sub-array of the input array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.softmax.html#mlx.core.softmax" title="mlx.core.softmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">softmax</span></code></a>(a, /[, axis, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.softmax.html#mlx.core.softmax" title="mlx.core.softmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">softmax</span></code></a>(a, /[, axis, stream])</p></td>
<td><p>Perform the softmax along the given axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.sort.html#mlx.core.sort" title="mlx.core.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sort</span></code></a>(a, /[, axis, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.sort.html#mlx.core.sort" title="mlx.core.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sort</span></code></a>(a, /[, axis, stream])</p></td>
<td><p>Returns a sorted copy of the array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.split.html#mlx.core.split" title="mlx.core.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">split</span></code></a>(a, /, indices_or_sections[, axis, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.split.html#mlx.core.split" title="mlx.core.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">split</span></code></a>(a, /, indices_or_sections[, axis, stream])</p></td>
<td><p>Split an array along a given axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.sqrt.html#mlx.core.sqrt" title="mlx.core.sqrt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sqrt</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.sqrt.html#mlx.core.sqrt" title="mlx.core.sqrt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sqrt</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise square root.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.square.html#mlx.core.square" title="mlx.core.square"><code class="xref py py-obj docutils literal notranslate"><span class="pre">square</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.square.html#mlx.core.square" title="mlx.core.square"><code class="xref py py-obj docutils literal notranslate"><span class="pre">square</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise square.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.squeeze.html#mlx.core.squeeze" title="mlx.core.squeeze"><code class="xref py py-obj docutils literal notranslate"><span class="pre">squeeze</span></code></a>(a, /[, axis, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.squeeze.html#mlx.core.squeeze" title="mlx.core.squeeze"><code class="xref py py-obj docutils literal notranslate"><span class="pre">squeeze</span></code></a>(a, /[, axis, stream])</p></td>
<td><p>Remove length one axes from an array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.stack.html#mlx.core.stack" title="mlx.core.stack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stack</span></code></a>(arrays[, axis, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.stack.html#mlx.core.stack" title="mlx.core.stack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stack</span></code></a>(arrays[, axis, stream])</p></td>
<td><p>Stacks the arrays along a new axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.std.html#mlx.core.std" title="mlx.core.std"><code class="xref py py-obj docutils literal notranslate"><span class="pre">std</span></code></a>(a, /[, axis, keepdims, ddof, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.std.html#mlx.core.std" title="mlx.core.std"><code class="xref py py-obj docutils literal notranslate"><span class="pre">std</span></code></a>(a, /[, axis, keepdims, ddof, stream])</p></td>
<td><p>Compute the standard deviation(s) over the given axes.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.stop_gradient.html#mlx.core.stop_gradient" title="mlx.core.stop_gradient"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop_gradient</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.stop_gradient.html#mlx.core.stop_gradient" title="mlx.core.stop_gradient"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop_gradient</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Stop gradients from being computed.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.subtract.html#mlx.core.subtract" title="mlx.core.subtract"><code class="xref py py-obj docutils literal notranslate"><span class="pre">subtract</span></code></a>(a, b[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.subtract.html#mlx.core.subtract" title="mlx.core.subtract"><code class="xref py py-obj docutils literal notranslate"><span class="pre">subtract</span></code></a>(a, b[, stream])</p></td>
<td><p>Element-wise subtraction.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.sum.html#mlx.core.sum" title="mlx.core.sum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sum</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.sum.html#mlx.core.sum" title="mlx.core.sum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sum</span></code></a>(a, /[, axis, keepdims, stream])</p></td>
<td><p>Sum reduce the array over the given axes.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.swapaxes.html#mlx.core.swapaxes" title="mlx.core.swapaxes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">swapaxes</span></code></a>(a, /, axis1, axis2, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.swapaxes.html#mlx.core.swapaxes" title="mlx.core.swapaxes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">swapaxes</span></code></a>(a, /, axis1, axis2, *[, stream])</p></td>
<td><p>Swap two axes of an array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.take.html#mlx.core.take" title="mlx.core.take"><code class="xref py py-obj docutils literal notranslate"><span class="pre">take</span></code></a>(a, /, indices[, axis, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.take.html#mlx.core.take" title="mlx.core.take"><code class="xref py py-obj docutils literal notranslate"><span class="pre">take</span></code></a>(a, /, indices[, axis, stream])</p></td>
<td><p>Take elements along an axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.take_along_axis.html#mlx.core.take_along_axis" title="mlx.core.take_along_axis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">take_along_axis</span></code></a>(a, /, indices[, axis, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.take_along_axis.html#mlx.core.take_along_axis" title="mlx.core.take_along_axis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">take_along_axis</span></code></a>(a, /, indices[, axis, stream])</p></td>
<td><p>Take values along an axis at the specified indices.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.tan.html#mlx.core.tan" title="mlx.core.tan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tan</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.tan.html#mlx.core.tan" title="mlx.core.tan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tan</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise tangent.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.tanh.html#mlx.core.tanh" title="mlx.core.tanh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tanh</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.tanh.html#mlx.core.tanh" title="mlx.core.tanh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tanh</span></code></a>(a, /, *[, stream])</p></td>
<td><p>Element-wise hyperbolic tangent.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.tensordot.html#mlx.core.tensordot" title="mlx.core.tensordot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tensordot</span></code></a>(a, b, /[, axes, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.tensordot.html#mlx.core.tensordot" title="mlx.core.tensordot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tensordot</span></code></a>(a, b, /[, axes, stream])</p></td>
<td><p>Compute the tensor dot product along the specified axes.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.tile.html#mlx.core.tile" title="mlx.core.tile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tile</span></code></a>(a, reps, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.tile.html#mlx.core.tile" title="mlx.core.tile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tile</span></code></a>(a, reps, /, *[, stream])</p></td>
<td><p>Construct an array by repeating <code class="docutils literal notranslate"><span class="pre">a</span></code> the number of times given by <code class="docutils literal notranslate"><span class="pre">reps</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.topk.html#mlx.core.topk" title="mlx.core.topk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">topk</span></code></a>(a, /, k[, axis, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.topk.html#mlx.core.topk" title="mlx.core.topk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">topk</span></code></a>(a, /, k[, axis, stream])</p></td>
<td><p>Returns the <code class="docutils literal notranslate"><span class="pre">k</span></code> largest elements from the input along a given axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.trace.html#mlx.core.trace" title="mlx.core.trace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trace</span></code></a>(a, /[, offset, axis1, axis2, dtype, ...])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.trace.html#mlx.core.trace" title="mlx.core.trace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trace</span></code></a>(a, /[, offset, axis1, axis2, dtype, ...])</p></td>
<td><p>Return the sum along a specified diagonal in the given array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.transpose.html#mlx.core.transpose" title="mlx.core.transpose"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transpose</span></code></a>(a, /[, axes, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.transpose.html#mlx.core.transpose" title="mlx.core.transpose"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transpose</span></code></a>(a, /[, axes, stream])</p></td>
<td><p>Transpose the dimensions of the array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.tri.html#mlx.core.tri" title="mlx.core.tri"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tri</span></code></a>(n, m, k[, dtype, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.tri.html#mlx.core.tri" title="mlx.core.tri"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tri</span></code></a>(n, m, k[, dtype, stream])</p></td>
<td><p>An array with ones at and below the given diagonal and zeros elsewhere.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.tril.html#mlx.core.tril" title="mlx.core.tril"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tril</span></code></a>(x, k, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.tril.html#mlx.core.tril" title="mlx.core.tril"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tril</span></code></a>(x, k, *[, stream])</p></td>
<td><p>Zeros the array above the given diagonal.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.triu.html#mlx.core.triu" title="mlx.core.triu"><code class="xref py py-obj docutils literal notranslate"><span class="pre">triu</span></code></a>(x, k, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.triu.html#mlx.core.triu" title="mlx.core.triu"><code class="xref py py-obj docutils literal notranslate"><span class="pre">triu</span></code></a>(x, k, *[, stream])</p></td>
<td><p>Zeros the array below the given diagonal.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.unflatten.html#mlx.core.unflatten" title="mlx.core.unflatten"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unflatten</span></code></a>(a, /, axis, shape, *[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.unflatten.html#mlx.core.unflatten" title="mlx.core.unflatten"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unflatten</span></code></a>(a, /, axis, shape, *[, stream])</p></td>
<td><p>Unflatten an axis of an array to a shape.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.var.html#mlx.core.var" title="mlx.core.var"><code class="xref py py-obj docutils literal notranslate"><span class="pre">var</span></code></a>(a, /[, axis, keepdims, ddof, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.var.html#mlx.core.var" title="mlx.core.var"><code class="xref py py-obj docutils literal notranslate"><span class="pre">var</span></code></a>(a, /[, axis, keepdims, ddof, stream])</p></td>
<td><p>Compute the variance(s) over the given axes.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.view.html#mlx.core.view" title="mlx.core.view"><code class="xref py py-obj docutils literal notranslate"><span class="pre">view</span></code></a>(a, dtype[, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.view.html#mlx.core.view" title="mlx.core.view"><code class="xref py py-obj docutils literal notranslate"><span class="pre">view</span></code></a>(a, dtype[, stream])</p></td>
<td><p>View the array as a different type.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.where.html#mlx.core.where" title="mlx.core.where"><code class="xref py py-obj docutils literal notranslate"><span class="pre">where</span></code></a>(condition, x, y, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.where.html#mlx.core.where" title="mlx.core.where"><code class="xref py py-obj docutils literal notranslate"><span class="pre">where</span></code></a>(condition, x, y, /, *[, stream])</p></td>
<td><p>Select from <code class="docutils literal notranslate"><span class="pre">x</span></code> or <code class="docutils literal notranslate"><span class="pre">y</span></code> according to <code class="docutils literal notranslate"><span class="pre">condition</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.zeros.html#mlx.core.zeros" title="mlx.core.zeros"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zeros</span></code></a>(shape[, dtype, stream])</p></td>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.zeros.html#mlx.core.zeros" title="mlx.core.zeros"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zeros</span></code></a>(shape[, dtype, stream])</p></td>
<td><p>Construct an array of zeros.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.core.zeros_like.html#mlx.core.zeros_like" title="mlx.core.zeros_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zeros_like</span></code></a>(a, /, *[, stream])</p></td>
<tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.core.zeros_like.html#mlx.core.zeros_like" title="mlx.core.zeros_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zeros_like</span></code></a>(a, /, *[, stream])</p></td>
<td><p>An array of zeros like the input.</p></td>
</tr>
</tbody>