kernels/pr_520/en/_app/immutable/nodes/7.da0141b1.js

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architecture (e.g. x86_64). For compliance with a compute framework and
architecture combination, all the build variants listed below must be
available. This list will be updated as new PyTorch versions are released.`,I,w,J,g,he="<li><code>torch210-cpu-aarch64-darwin</code></li> <li><code>torch211-cpu-aarch64-darwin</code></li>",N,T,Q,C,fe="<li><code>torch210-metal-aarch64-darwin</code></li> <li><code>torch211-metal-aarch64-darwin</code></li>",V,L,W,M,_e="<li><code>torch210-cxx11-cpu-aarch64-linux</code></li> <li><code>torch211-cxx11-cpu-aarch64-linux</code></li>",Y,U,Z,b,ve="<li><code>torch210-cxx11-cu126-aarch64-linux</code></li> <li><code>torch210-cxx11-cu128-aarch64-linux</code></li> <li><code>torch210-cxx11-cu130-aarch64-linux</code></li> <li><code>torch211-cxx11-cu126-aarch64-linux</code></li> <li><code>torch211-cxx11-cu128-aarch64-linux</code></li> <li><code>torch211-cxx11-cu130-aarch64-linux</code></li>",ee,H,te,P,we="<li><code>torch210-cxx11-cpu-x86_64-linux</code></li> <li><code>torch211-cxx11-cpu-x86_64-linux</code></li>",le,y,ie,k,ge="<li><code>torch210-cxx11-cu126-x86_64-linux</code></li> <li><code>torch210-cxx11-cu128-x86_64-linux</code></li> <li><code>torch210-cxx11-cu130-x86_64-linux</code></li> <li><code>torch211-cxx11-cu126-x86_64-linux</code></li> <li><code>torch211-cxx11-cu128-x86_64-linux</code></li> <li><code>torch211-cxx11-cu130-x86_64-linux</code></li>",ne,A,ce,E,Te="<li><code>torch210-cxx11-rocm70-x86_64-linux</code></li> <li><code>torch210-cxx11-rocm71-x86_64-linux</code></li> <li><code>torch211-cxx11-rocm71-x86_64-linux</code></li> <li><code>torch211-cxx11-rocm72-x86_64-linux</code></li>",ae,D,re,j,Ce="<li><code>torch210-cxx11-xpu20253-x86_64-linux</code></li> <li><code>torch211-cxx11-xpu20253-x86_64-linux</code></li>",ue,q,xe,S,Le=`Kernels that are in pure Python (e.g. Triton kernels) only need to provide
one or more of the following variants:`,oe,z,Me="<li><code>torch-cpu</code></li> <li><code>torch-cuda</code></li> <li><code>torch-metal</code></li> <li><code>torch-rocm</code></li> <li><code>torch-xpu</code></li>",me,O,de,B,pe;return f=new je({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),_=new s({props:{title:"Build variants",local:"build-variants",headingTag:"h1"}}),w=new s({props:{title:"CPU aarch64-darwin",local:"cpu-aarch64-darwin",headingTag:"h2"}}),T=new s({props:{title:"Metal aarch64-darwin",local:"metal-aarch64-darwin",headingTag:"h2"}}),L=new s({props:{title:"CPU aarch64-linux",local:"cpu-aarch64-linux",headingTag:"h2"}}),U=new s({props:{title:"CUDA aarch64-linux",local:"cuda-aarch64-linux",headingTag:"h2"}}),H=new s({props:{title:"CPU x86_64-linux",local:"cpu-x8664-linux",headingTag:"h2"}}),y=new s({props:{title:"CUDA x86_64-linux",local:"cuda-x8664-linux",headingTag:"h2"}}),A=new s({props:{title:"ROCm 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