PER_DAY(
        displayName = "Slow Performance Regression Test",
        timeout = 420,
        channel = "commits",
    ),
    PER_WEEK(
        displayName = "Performance Experiment",
        timeout = 420,
        channel = "experiments",
    ),
    FLAKINESS_DETECTION(
        displayName = "Performance Test Flakiness Detection",
        timeout = 600,
        defaultBaselines = "flakiness-detection-commit",

### Configuration cache enabled by default

The build of Gradle enables the configuration cache by default as a dogfooding experiment.

Most tasks that are used to build Gradle support the configuration cache, but some don't. For example, building the documentation currently requires you to disable the configuration cache.

limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_EAGER_C_API_H_
#define TENSORFLOW_C_EAGER_C_API_H_

// C API extensions to experiment with eager execution of kernels.
// WARNING: Unlike tensorflow/c/c_api.h, the API here is not guaranteed to be
// stable and can change without notice.

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_macros.h"

## Testing locally with Traefik { #testing-locally-with-traefik }

You can easily run the experiment locally with a stripped path prefix using [Traefik](https://docs.traefik.io/).

[ {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslConfigurationPerformanceTest.configure",
  "durations" : [ {
    "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
    "linux" : 350,
    "windows" : 828,
    "macOs" : 229
  } ]
}, {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",
  "durations" : [ {

      }
    } ]
  }, {
    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",
    "groups" : [ {
      "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
      "coverage" : {
        "per_day" : [ "linux", "macOs", "windows" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.cold daemon",

## Lokal testen mit Traefik { #testing-locally-with-traefik }

Sie können das Experiment mit einem abgetrennten Pfadpräfix einfach lokal ausführen, indem Sie [Traefik](https://docs.traefik.io/) verwenden.

/// info | Informação

Esta página lhe ensinará como usar **ambientes virtuais** e como eles funcionam.

Se você estiver pronto para adotar uma **ferramenta que gerencia tudo** para você (incluindo a instalação do Python), experimente [uv](https://github.com/astral-sh/uv).

///

## Criar um Projeto { #create-a-project }

Primeiro, crie um diretório para seu projeto.

## Testando localmente com Traefik { #testing-locally-with-traefik }

Você pode facilmente executar o experimento localmente com um prefixo de path removido usando [Traefik](https://docs.traefik.io/).

## Probando localmente con Traefik { #testing-locally-with-traefik }

Puedes ejecutar fácilmente el experimento localmente con un prefijo de path eliminado usando [Traefik](https://docs.traefik.io/).