echo "minio executable binary not found in current directory"
	exit 1
fi

function download_old_release() {
	if [ ! -f minio.RELEASE.2020-10-28T08-16-50Z ]; then
		curl --silent -O https://dl.minio.io/server/minio/release/linux-amd64/archive/minio.RELEASE.2020-10-28T08-16-50Z
		chmod a+x minio.RELEASE.2020-10-28T08-16-50Z
	fi
}

function verify_rewrite() {
	start_port=$1

	export MINIO_ACCESS_KEY=minio

    if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run'))
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \

---
name: TensorFlow Lite Converter Issue
about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

      - r2.**
  schedule:
    - cron: '0 8 * * *'

permissions:
  contents: read

jobs:
  build:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      fail-fast: false
      matrix:
        pyver: ['3.9', '3.10', '3.11', '3.12']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |

import projects.PerformanceTestProject

class PerformanceTestsPass(
    model: CIBuildModel,
    performanceTestProject: PerformanceTestProject,
) : OsAwareBaseGradleBuildType(
        os = Os.LINUX,
        failStage = performanceTestProject.spec.failsStage,
        init = {
            id("${performanceTestProject.spec.asConfigurationId(model)}_Trigger")
            val performanceTestSpec = performanceTestProject.spec

	docker volume prune -f || true
	docker volume rm $(docker volume ls -q -f dangling=true) || true
}

cleanup

if [ ! -f ./mc ]; then
	wget --quiet -O mc https://dl.minio.io/client/mc/release/linux-amd64/mc &&
		chmod +x mc
fi

export RELEASE=RELEASE.2023-08-29T23-07-35Z

docker-compose -f docker-compose-site1.yaml up -d
docker-compose -f docker-compose-site2.yaml up -d

sleep 30s

  exit 2
fi

# Quick install checks
venv_dir=$(mktemp -d)
if [[ $(uname -s) != MSYS_NT* ]]; then
  "python${TFCI_PYTHON_VERSION}" -m venv "$venv_dir"
  python="$venv_dir/bin/python3"
else
  # When using the Linux-like path, venv creation quietly fails, which is
  # why it's converted here.
  venv_dir=$(cygpath -m $venv_dir)
  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

</details>

## Что такое контейнер { #what-is-a-container }

Контейнеры (в основном Linux-контейнеры) — это очень **легковесный** способ упаковать приложения вместе со всеми их зависимостями и необходимыми файлами, изолировав их от других контейнеров (других приложений или компонентов) в той же системе.

Los contenedores (principalmente contenedores de Linux) son una forma muy **ligera** de empaquetar aplicaciones incluyendo todas sus dependencias y archivos necesarios, manteniéndolos aislados de otros contenedores (otras aplicaciones o componentes) en el mismo sistema.

## Was ist ein Container { #what-is-a-container }

Container (hauptsächlich Linux-Container) sind eine sehr **leichtgewichtige** Möglichkeit, Anwendungen einschließlich aller ihrer Abhängigkeiten und erforderlichen Dateien zu verpacken und sie gleichzeitig von anderen Containern (anderen Anwendungen oder Komponenten) im selben System isoliert zu halten.