kernels/pr_607/en/_app/immutable/nodes/17.b8ca3c41.js

import{s as ye,n as he,o as ke}from"../chunks/scheduler.f3b1e791.js";import{S as ge,i as be,e as $,s,c as r,h as we,a as c,d as l,b as a,f as ce,g as m,j as E,k as ue,l as Me,m as n,n as i,t as p,o,p as d}from"../chunks/index.023a9934.js";import{C as Te}from"../chunks/CopyLLMTxtMenu.c780467c.js";import{C as re}from"../chunks/CodeBlock.fc650646.js";import{H as B,E as Je}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.fb377ec3.js";function Ce(me){let f,H,I,R,u,X,y,S,h,ie="The <code>kernels</code> CLI provides commands for managing compute kernels.",q,k,z,g,pe='<thead><tr><th>Command</th> <th>Description</th></tr></thead> <tbody><tr><td><a href="cli-benchmark">benchmark</a></td> <td>Run benchmark results for a kernel</td></tr> <tr><td><a href="cli-check">check</a></td> <td>Check a kernel for compliance</td></tr> <tr><td><a href="cli-versions">versions</a></td> <td>Show kernel versions</td></tr> <tr><td><a href="cli-lock">lock</a></td> <td>Lock kernel revisions</td></tr></tbody>',P,b,Q,w,oe=`For building and writing kernels, please refer <a href="./builder/build">building kernels</a> and
<a href="./builder/writing-kernels">writing kernels</a>.`,W,M,F,T,K,J,Y,C,de="or",D,U,N,j,fe="Add to <code>pyproject.toml</code>:",A,V,O,_,$e="Then lock and download:",ee,v,te,x,le,G,ne,L,se,Z,ae;return u=new Te({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),y=new B({props:{title:"Kernels CLI Reference",local:"kernels-cli-reference",headingTag:"h1"}}),k=new B({props:{title:"Commands",local:"commands",headingTag:"h2"}}),b=new B({props:{title:"Quick Start",local:"quick-start",headingTag:"h2"}}),M=new B({props:{title:"Use kernels in your project",local:"use-kernels-in-your-project",headingTag:"h3"}}),T=new B({props:{title:"Directly from the Hub",local:"directly-from-the-hub",headingTag:"h4"}}),J=new re({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> torch

<span class="hljs-keyword">from</span> kernels <span class="hljs-keyword">import</span> get_kernel

<span class="hljs-comment"># Download optimized kernels from the Hugging Face hub</span>
my_kernel = get_kernel(<span class="hljs-string">&quot;my-username/my-kernel&quot;</span>, version=<span class="hljs-number">1</span>)

<span class="hljs-comment"># Random tensor</span>
x = torch.randn((<span class="hljs-number">10</span>, <span class="hljs-number">10</span>), dtype=torch.float16, device=<span class="hljs-string">&quot;cuda&quot;</span>)

<span class="hljs-comment"># Run the kernel</span>
y = torch.empty_like(x)
my_kernel.my_kernel_function(y, x)

<span class="hljs-built_in">print</span>(y)`,lang:"python",wrap:!1}}),U=new B({props:{title:"Locked and downloaded",local:"locked-and-downloaded",headingTag:"h4"}}),V=new re({props:{code:"JTVCdG9vbC5rZXJuZWxzLmRlcGVuZGVuY2llcyU1RCUwQSUyMm15LXVzZXJuYW1lJTJGbXkta2VybmVsJTIyJTIwJTNEJTIwJTIyMSUyMg==",highlighted:`<span class="hljs-section">[tool.kernels.dependencies]</span>
<span class="hljs-attr">&quot;my-username/my-kernel&quot;</span> = <span class="hljs-string">&quot;1&quot;</span>`,lang:"toml",wrap:!1}}),v=new re({props:{code:"a2VybmVscyUyMGxvY2slMjAuJTBBa2VybmVscyUyMGRvd25sb2FkJTIwLg==",highlighted:`kernels lock .
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