zhangyiss/mlx
1
0
Fork 0
mirror of https://github.com/ml-explore/mlx.git synced 2025-11-05 19:48:15 +08:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

rebase

Browse Source
This commit is contained in:
CircleCI Docs
2025-09-12 00:17:05 +00:00
parent ec3f487eed
commit d96a372a7d
540 changed files with 5405 additions and 2174 deletions
Download Patch File Download Diff File Expand all files Collapse all files

23
docs/build/html/usage/indexing.html vendored
View File

@@ -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>Indexing Arrays &#8212; MLX 0.29.0 documentation</title>
<title>Indexing Arrays &#8212; MLX 0.29.1 documentation</title>
@@ -37,7 +37,7 @@
<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=9c58480a"></script>
<script src="../_static/documentation_options.js?v=27a4ca17"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../_static/clipboard.min.js?v=a7894cd8"></script>
@@ -140,8 +140,8 @@
<img src="../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.29.0 documentation - Home"/>
<script>document.write(`<img src="../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.29.0 documentation - Home"/>`);</script>
<img src="../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.29.1 documentation - Home"/>
<script>document.write(`<img src="../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.29.1 documentation - Home"/>`);</script>
</a></div>
@@ -611,6 +611,7 @@
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.QuantizedLinear.html">mlx.nn.QuantizedLinear</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ReLU.html">mlx.nn.ReLU</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ReLU2.html">mlx.nn.ReLU2</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ReLU6.html">mlx.nn.ReLU6</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.RNN.html">mlx.nn.RNN</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.RoPE.html">mlx.nn.RoPE</a></li>
@@ -646,6 +647,7 @@
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.mish.html">mlx.nn.mish</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.prelu.html">mlx.nn.prelu</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.relu.html">mlx.nn.relu</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.relu2.html">mlx.nn.relu2</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.relu6.html">mlx.nn.relu6</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.selu.html">mlx.nn.selu</a></li>
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.sigmoid.html">mlx.nn.sigmoid</a></li>
@@ -1012,7 +1014,18 @@ array<span class="o">([</span><span class="m">1</span>,<span class="w"> </span><
array<span class="o">([</span><span class="m">1</span>,<span class="w"> </span><span class="m">2</span>,<span class="w"> </span><span class="m">0</span><span class="o">]</span>,<span class="w"> </span><span class="nv">dtype</span><span class="o">=</span>int32<span class="o">)</span>
</pre></div>
</div>
<p>Note, unlike NumPy, updates to the same location are nondeterministic:</p>
<p>Note that unlike NumPy, slicing an array creates a copy, not a view. So
mutating it does not mutate the original array:</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>&gt;&gt;&gt;<span class="w"> </span><span class="nv">a</span><span class="w"> </span><span class="o">=</span><span class="w"> </span>mx.array<span class="o">([</span><span class="m">1</span>,<span class="w"> </span><span class="m">2</span>,<span class="w"> </span><span class="m">3</span><span class="o">])</span>
&gt;&gt;&gt;<span class="w"> </span><span class="nv">b</span><span class="w"> </span><span class="o">=</span><span class="w"> </span>a<span class="o">[</span>:<span class="o">]</span>
&gt;&gt;&gt;<span class="w"> </span>b<span class="o">[</span><span class="m">2</span><span class="o">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">0</span>
&gt;&gt;&gt;<span class="w"> </span>b
array<span class="o">([</span><span class="m">1</span>,<span class="w"> </span><span class="m">2</span>,<span class="w"> </span><span class="m">0</span><span class="o">]</span>,<span class="w"> </span><span class="nv">dtype</span><span class="o">=</span>int32<span class="o">)</span>
&gt;&gt;&gt;<span class="w"> </span>a
array<span class="o">([</span><span class="m">1</span>,<span class="w"> </span><span class="m">2</span>,<span class="w"> </span><span class="m">3</span><span class="o">]</span>,<span class="w"> </span><span class="nv">dtype</span><span class="o">=</span>int32<span class="o">)</span>
</pre></div>
</div>
<p>Also unlike NumPy, updates to the same location are nondeterministic:</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>&gt;&gt;&gt;<span class="w"> </span><span class="nv">a</span><span class="w"> </span><span class="o">=</span><span class="w"> </span>mx.array<span class="o">([</span><span class="m">1</span>,<span class="w"> </span><span class="m">2</span>,<span class="w"> </span><span class="m">3</span><span class="o">])</span>
&gt;&gt;&gt;<span class="w"> </span>a<span class="o">[[</span><span class="m">0</span>,<span class="w"> </span><span class="m">0</span><span class="o">]]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span>mx.array<span class="o">([</span><span class="m">4</span>,<span class="w"> </span><span class="m">5</span><span class="o">])</span>
</pre></div>