Buckets:
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"torch.compile","local":"torchcompile","sections":[{"title":"Backend","local":"backend","sections":[],"depth":2},{"title":"Modo de compilación","local":"modo-de-compilación","sections":[],"depth":2},{"title":"Próximos pasos","local":"próximos-pasos","sections":[],"depth":2}],"depth":1}"/> | |
| <link href="/docs/transformers/main/es/_app/immutable/entry/start.Cex4YXjh.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/chunks/D_b9q9jZ.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/chunks/Dl9aQtdI.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/entry/app.DNxQXwTy.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/chunks/ByWXHg74.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/chunks/NvhOjA8g.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/chunks/BWsCTqVr.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/chunks/DsnmJJEf.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/nodes/0.DUkXUlQz.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/chunks/DkDiSK5v.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/nodes/42.CMuVMCF5.js" rel="modulepreload"> | |
| <link href="/docs/transformers/main/es/_app/immutable/chunks/Cy51lpuW.js" rel="modulepreload"> | |
| <!--1nbtvb7--><meta name="hf:doc:metadata" content="{"title":"torch.compile","local":"torchcompile","sections":[{"title":"Backend","local":"backend","sections":[],"depth":2},{"title":"Modo de compilación","local":"modo-de-compilación","sections":[],"depth":2},{"title":"Próximos pasos","local":"próximos-pasos","sections":[],"depth":2}],"depth":1}"/><!----> | |
| <link href="/docs/transformers/main/es/_app/immutable/assets/0.tn0RQdqM.css" rel="modulepreload"> <!--[--><!--[0--><!--[--><!--[0--><!--[--><p></p> <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"><div class="inline-flex rounded-md max-sm:rounded-sm"><button class="inline-flex items-center gap-1 h-7 max-sm:h-7 px-2 max-sm:px-1.5 text-sm font-medium text-gray-800 border border-r-0 rounded-l-md max-sm:rounded-l-sm border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-live="polite"><span class="inline-flex items-center justify-center rounded-md p-0.5 max-sm:p-0 hover:text-gray-800 dark:hover:text-gray-200"><svg class="sm:size-3.5 size-3" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----></span> <span>Copy page</span></button> <button class="inline-flex items-center justify-center w-6 max-sm:w-5 h-7 max-sm:h-7 disabled:pointer-events-none text-sm text-gray-500 hover:text-gray-700 dark:hover:text-white rounded-r-md max-sm:rounded-r-sm border border-l transition border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-haspopup="menu" aria-expanded="false" aria-label="Open copy menu"><svg class="transition-transform text-gray-400 overflow-visible sm:size-3.5 size-3 rotate-0" width="1em" height="1em" viewBox="0 0 12 7" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 1L6 6L11 1" stroke="currentColor"></path></svg><!----></button></div> <!--[-1--><!--]--></div><!----> <!--[0--><h1 class="relative group"><a id="torchcompile" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#torchcompile"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>torch.compile</span></h1><!--]--><!----> <p><a href="https://docs.pytorch.org/tutorials/intermediate/torch_compile_tutorial.html" rel="nofollow">torch.compile</a> compila código de PyTorch en kernels fusionados para que se ejecute más rápido. Durante el entrenamiento, traza juntas la pasada hacia delante y la pasada hacia atrás y las compila en kernels optimizados, reduciendo la sobrecarga de lanzar operaciones por separado y fusionando operaciones para recortar el uso del ancho de banda de memoria.</p> <p>Pon <code>torch_compile=True</code> en <code>TrainingArguments</code> para activarlo. El entrenamiento compila tanto la pasada hacia delante como la de hacia atrás, a diferencia de la inferencia, que solo compila la pasada hacia delante. La compilación ocurre en el primer paso de entrenamiento, así que es normal que sea bastante más lento que los pasos siguientes.</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----> <div class=" absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0 "><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent;"></div> Copied</div><!----></button><!----></div> <pre class="language-py "><!----><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> TrainingArguments | |
| args = TrainingArguments( | |
| ..., | |
| torch_compile=<span class="hljs-literal">True</span>, | |
| torch_compile_backend=<span class="hljs-string">"inductor"</span>, | |
| torch_compile_mode=<span class="hljs-string">"reduce-overhead"</span>, | |
| )<!----></pre></div><!----> <!--[1--><h2 class="relative group"><a id="backend" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#backend"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>Backend</span></h2><!--]--><!----> <p>El backend por defecto es <code>inductor</code>, que compila a kernels de Triton con AOTAutograd. Es la opción adecuada para la mayoría de las cargas de entrenamiento. Usa <code>cudagraphs</code> para entradas de forma fija, o <code>ipex</code> para entrenamiento en CPU de Intel.</p> <!--[1--><h2 class="relative group"><a id="modo-de-compilación" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#modo-de-compilación"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>Modo de compilación</span></h2><!--]--><!----> <p>Usa la siguiente tabla como ayuda para elegir un modo de <code>torch.compile</code>.</p> <table><thead><tr><th>modo</th><th>descripción</th></tr></thead><tbody><tr><td>default</td><td>equilibrio entre el tiempo de compilación y el de ejecución</td></tr><tr><td>reduce-overhead</td><td>reduce la sobrecarga de Python/CPU usando CUDA graphs a costa de algo más de memoria</td></tr><tr><td>max-autotune</td><td>prueba varias implementaciones de kernels durante la compilación y elige la más rápida (compilación más larga)</td></tr><tr><td>max-autotune-no-cudagraphs</td><td>igual que max-autotune pero sin CUDA graphs</td></tr></tbody></table> <!--[1--><h2 class="relative group"><a id="próximos-pasos" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#próximos-pasos"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>Próximos pasos</span></h2><!--]--><!----> <ul><li>Consulta la guía <a href="./perf_torch_compile">torch.compile para inferencia</a> para más detalles sobre la compilación fullgraph y los benchmarks de inferencia.</li></ul> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/transformers/blob/main/docs/source/es/torch_compile.md" target="_blank"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg><!----> <span><span class="underline">Update</span> on GitHub</span></a><!----> <p></p><!--]--><!----><!--]--><!--]--><!--]--> <!--[-1--><!--]--><!--]--> | |
| <script> | |
| { | |
| __sveltekit_y4vo64 = { | |
| base: "/docs/transformers/main/es", | |
| assets: "/docs/transformers/main/es" | |
| }; | |
| const element = document.currentScript.parentElement; | |
| Promise.all([ | |
| import("/docs/transformers/main/es/_app/immutable/entry/start.Cex4YXjh.js"), | |
| import("/docs/transformers/main/es/_app/immutable/entry/app.DNxQXwTy.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 42], | |
| data: [null,null], | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 13.7 kB
- Xet hash:
- 263b92946c51e553d0d026ca5356135ce0b8fcc4c6486af420e3b2fe880b8dbc
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.