#!groovy
// -*- mode: groovy -*-

// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.

// Jenkins pipeline
// See documents at https://jenkins.io/doc/book/pipeline/jenkinsfile/

// Docker env used for testing
// Different image may have different version tag
// because some of them are more stable than anoter.
//
// Docker images are maintained by PMC, cached in dockerhub
// and remains relatively stable over the time.
// Flow for upgrading docker env(need commiter)
//
// - Send PR to upgrade build script in the repo
// - Build the new docker image
// - Tag the docker image with a new version and push to a binary cache.
// - Update the version in the Jenkinsfile, send a PR
// - Fix any issues wrt to the new image version in the PR
// - Merge the PR and now we are in new version
// - Tag the new version as the lates
// - Periodically cleanup the old versions on local workers
//

// ============================= IMPORTANT NOTE =============================
// This file is generated by 'jenkins/generate.py'. Do not edit this file directly!
// Make edits to 'jenkins/Jenkinsfile.j2' and regenerate this with
// 'python3 jenkins/generate.py'
// Note: This timestamp is here to ensure that updates to the Jenkinsfile are
// always rebased on main before merging:
// Generated at 2022-10-05T19:59:41.371226

import org.jenkinsci.plugins.pipeline.modeldefinition.Utils
// NOTE: these lines are scanned by docker/dev_common.sh. Please update the regex as needed. -->
ci_lint = 'tlcpack/ci-lint:20220908-060034-62bdc91b1'
ci_gpu = 'tlcpack/ci-gpu:20220908-060034-62bdc91b1'
ci_cpu = 'tlcpack/ci-cpu:20220908-060034-62bdc91b1'
ci_minimal = 'tlcpack/ci-minimal:20220908-060034-62bdc91b1'
ci_wasm = 'tlcpack/ci-wasm:20220908-060034-62bdc91b1'
ci_i386 = 'tlcpack/ci-i386:20220908-060034-62bdc91b1'
ci_cortexm = 'tlcpack/ci-cortexm:20220909-090211-cb08a1251'
ci_arm = 'tlcpack/ci-arm:20220908-060034-62bdc91b1'
ci_hexagon = 'tlcpack/ci-hexagon:20220908-060034-62bdc91b1'
ci_riscv = 'tlcpack/ci-riscv:20220908-060034-62bdc91b1'
// <--- End of regex-scanned config.

// Parameters to allow overriding (in Jenkins UI), the images
// to be used by a given build. When provided, they take precedence
// over default values above.
properties([
  parameters([
    string(name: 'ci_arm_param', defaultValue: ''),
    string(name: 'ci_cortexm_param', defaultValue: ''),
    string(name: 'ci_cpu_param', defaultValue: ''),
    string(name: 'ci_gpu_param', defaultValue: ''),
    string(name: 'ci_hexagon_param', defaultValue: ''),
    string(name: 'ci_i386_param', defaultValue: ''),
    string(name: 'ci_lint_param', defaultValue: ''),
    string(name: 'ci_minimal_param', defaultValue: ''),
    string(name: 'ci_riscv_param', defaultValue: ''),
    string(name: 'ci_wasm_param', defaultValue: ''),
  ])
])

// Placeholders for newly built Docker image names (if rebuild_docker_images
// is used)
  built_ci_arm = null;
  built_ci_cortexm = null;
  built_ci_cpu = null;
  built_ci_gpu = null;
  built_ci_hexagon = null;
  built_ci_i386 = null;
  built_ci_lint = null;
  built_ci_minimal = null;
  built_ci_riscv = null;
  built_ci_wasm = null;

// Global variable assigned during Sanity Check that holds the sha1 which should be
// merged into the PR in all branches.
upstream_revision = null

// command to start a docker container
docker_run = 'docker/bash.sh --env CI --env TVM_SHARD_INDEX --env TVM_NUM_SHARDS --env RUN_DISPLAY_URL --env PLATFORM --env SKIP_SLOW_TESTS --env TEST_STEP_NAME'
docker_build = 'docker/build.sh'
// timeout in minutes
max_time = 180
rebuild_docker_images = false

// Filenames for stashing between build and test steps
s3_prefix = "tvm-jenkins-artifacts-prod/tvm/${env.BRANCH_NAME}/${env.BUILD_NUMBER}"


// General note: Jenkins has limits on the size of a method (or top level code)
// that are pretty strict, so most usage of groovy methods in these templates
// are purely to satisfy the JVM
def per_exec_ws(folder) {
  return "workspace/exec_${env.EXECUTOR_NUMBER}/" + folder
}

// initialize source codes
def init_git() {
  checkout scm


  // Add more info about job node
  sh (
    script: './tests/scripts/task_show_node_info.sh',
    label: 'Show executor node info',
  )

  // Determine merge commit to use for all stages
  sh (
    script: 'git fetch origin v0.10.0',
    label: 'Fetch upstream',
  )
  if (upstream_revision == null) {
    upstream_revision = sh(
      script: 'git log -1 FETCH_HEAD --format=\'%H\'',
      label: 'Determine upstream revision',
      returnStdout: true,
    ).trim()
  }
  sh (
    script: "git -c user.name=TVM-Jenkins -c user.email=jenkins@tvm.apache.org merge ${upstream_revision}",
    label: 'Merge to origin/v0.10.0'
  )

  sh(
    script: """
      set -eux
      . ci/scripts/retry.sh
      retry 3 timeout 5m git submodule update --init -f --jobs 0
    """,
    label: 'Update git submodules',
  )
  checkout_trusted_files()
}

def docker_init(image) {
  // Clear out all Docker images that aren't going to be used
  sh(
    script: """
    set -eux
    docker image ls --all
    IMAGES=\$(docker image ls --all --format '{{.Repository}}:{{.Tag}}  {{.ID}}')

    echo -e "Found images:\\n\$IMAGES"
    echo "\$IMAGES" | { grep -vE '${image}' || test \$? = 1; } | { xargs docker rmi || test \$? = 123; }

    docker image ls --all
    """,
    label: 'Clean old Docker images',
  )

  if (image.contains("amazonaws.com")) {
    // If this string is in the image name it's from ECR and needs to be pulled
    // with the right credentials
    ecr_pull(image)
  } else {
    sh(
      script: """
      set -eux
      . ci/scripts/retry.sh
      retry 5 docker pull ${image}
      """,
      label: 'Pull docker image',
    )
  }
}

def should_skip_slow_tests(pr_number) {
  withCredentials([string(
    credentialsId: 'tvm-bot-jenkins-reader',
    variable: 'GITHUB_TOKEN',
  )]) {
    // Exit code of 1 means run slow tests, exit code of 0 means skip slow tests
    result = sh (
      returnStatus: true,
      script: "./ci/scripts/should_run_slow_tests.py --pr '${pr_number}'",
      label: 'Check if CI should run slow tests',
    )
  }
  return result == 0
}

def cancel_previous_build() {
  // cancel previous build if it is not on main.
  if (env.BRANCH_NAME != 'v0.10.0') {
    def buildNumber = env.BUILD_NUMBER as int
    // Milestone API allows us to cancel previous build
    // with the same milestone number
    if (buildNumber > 1) milestone(buildNumber - 1)
    milestone(buildNumber)
  }
}

def checkout_trusted_files() {
  // trust everything from branch builds
  if (env.BRANCH_NAME == null || !env.BRANCH_NAME.startsWith('PR-')) {
    return;
  }

  // trust peoople listed in CONTRIBUTING.md
  grep_code = sh(
    returnStatus: true,
    script: "git show '${upstream_revision}:CONTRIBUTORS.md' | grep '@${env.CHANGE_AUTHOR}'",
    label: 'Check if change is from a contributor',
  )

  if (grep_code == 1) {
    // Any scripts that run on the bare host and not inside a Docker container
    // (especially those that access secrets) should be checked out here so
    // only trusted versions are used in CI
    sh(
      script: "git checkout ${upstream_revision} ci/scripts/.",
      label: 'Check out trusted files',
    )
  }
}

def should_skip_ci(pr_number) {
  if (env.BRANCH_NAME == null || !env.BRANCH_NAME.startsWith('PR-')) {
    // never skip CI on build sourced from a branch
    return false
  }
  glob_skip_ci_code = sh (
    returnStatus: true,
    script: "./ci/scripts/git_skip_ci_globs.py",
    label: 'Check if CI should be skipped due to changed files',
  )
  if (glob_skip_ci_code == 0) {
    return true
  }
  withCredentials([string(
    credentialsId: 'tvm-bot-jenkins-reader',
    variable: 'GITHUB_TOKEN',
    )]) {
    // Exit code of 1 means run full CI (or the script had an error, so run
    // full CI just in case). Exit code of 0 means skip CI.
    git_skip_ci_code = sh (
      returnStatus: true,
      script: "./ci/scripts/git_skip_ci.py --pr '${pr_number}'",
      label: 'Check if CI should be skipped',
    )
  }
  return git_skip_ci_code == 0
}

def check_pr(pr_number) {
  if (env.BRANCH_NAME == null || !env.BRANCH_NAME.startsWith('PR-')) {
    // never skip CI on build sourced from a branch
    return false
  }
  withCredentials([string(
    credentialsId: 'tvm-bot-jenkins-reader',
    variable: 'GITHUB_TOKEN',
    )]) {
    sh (
      script: "python3 ci/scripts/check_pr.py --pr ${pr_number}",
      label: 'Check PR title and body',
    )
  }

}

def prepare() {
  stage('Prepare') {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/prepare") {
        init_git()

        check_pr(env.CHANGE_ID)

        if (env.DETERMINE_DOCKER_IMAGES == 'yes') {
          sh(
            script: "./ci/scripts/determine_docker_images.py ci_arm=${ci_arm} ci_cortexm=${ci_cortexm} ci_cpu=${ci_cpu} ci_gpu=${ci_gpu} ci_hexagon=${ci_hexagon} ci_i386=${ci_i386} ci_lint=${ci_lint} ci_minimal=${ci_minimal} ci_riscv=${ci_riscv} ci_wasm=${ci_wasm} ",
            label: 'Decide whether to use tlcpack or tlcpackstaging for Docker images',
          )
          // Pull image names from the results of should_rebuild_docker.py
          ci_arm = sh(
            script: "cat .docker-image-names/ci_arm",
            label: "Find docker image name for ci_arm",
            returnStdout: true,
          ).trim()
          ci_cortexm = sh(
            script: "cat .docker-image-names/ci_cortexm",
            label: "Find docker image name for ci_cortexm",
            returnStdout: true,
          ).trim()
          ci_cpu = sh(
            script: "cat .docker-image-names/ci_cpu",
            label: "Find docker image name for ci_cpu",
            returnStdout: true,
          ).trim()
          ci_gpu = sh(
            script: "cat .docker-image-names/ci_gpu",
            label: "Find docker image name for ci_gpu",
            returnStdout: true,
          ).trim()
          ci_hexagon = sh(
            script: "cat .docker-image-names/ci_hexagon",
            label: "Find docker image name for ci_hexagon",
            returnStdout: true,
          ).trim()
          ci_i386 = sh(
            script: "cat .docker-image-names/ci_i386",
            label: "Find docker image name for ci_i386",
            returnStdout: true,
          ).trim()
          ci_lint = sh(
            script: "cat .docker-image-names/ci_lint",
            label: "Find docker image name for ci_lint",
            returnStdout: true,
          ).trim()
          ci_minimal = sh(
            script: "cat .docker-image-names/ci_minimal",
            label: "Find docker image name for ci_minimal",
            returnStdout: true,
          ).trim()
          ci_riscv = sh(
            script: "cat .docker-image-names/ci_riscv",
            label: "Find docker image name for ci_riscv",
            returnStdout: true,
          ).trim()
          ci_wasm = sh(
            script: "cat .docker-image-names/ci_wasm",
            label: "Find docker image name for ci_wasm",
            returnStdout: true,
          ).trim()
        }

        ci_arm = params.ci_arm_param ?: ci_arm
        ci_cortexm = params.ci_cortexm_param ?: ci_cortexm
        ci_cpu = params.ci_cpu_param ?: ci_cpu
        ci_gpu = params.ci_gpu_param ?: ci_gpu
        ci_hexagon = params.ci_hexagon_param ?: ci_hexagon
        ci_i386 = params.ci_i386_param ?: ci_i386
        ci_lint = params.ci_lint_param ?: ci_lint
        ci_minimal = params.ci_minimal_param ?: ci_minimal
        ci_riscv = params.ci_riscv_param ?: ci_riscv
        ci_wasm = params.ci_wasm_param ?: ci_wasm

        sh (script: """
          echo "Docker images being used in this build:"
          echo " ci_arm = ${ci_arm}"
          echo " ci_cortexm = ${ci_cortexm}"
          echo " ci_cpu = ${ci_cpu}"
          echo " ci_gpu = ${ci_gpu}"
          echo " ci_hexagon = ${ci_hexagon}"
          echo " ci_i386 = ${ci_i386}"
          echo " ci_lint = ${ci_lint}"
          echo " ci_minimal = ${ci_minimal}"
          echo " ci_riscv = ${ci_riscv}"
          echo " ci_wasm = ${ci_wasm}"
        """, label: 'Docker image names')

        is_docs_only_build = sh (
          returnStatus: true,
          script: './ci/scripts/git_change_docs.sh',
          label: 'Check for docs only changes',
        )
        skip_ci = should_skip_ci(env.CHANGE_ID)
        skip_slow_tests = should_skip_slow_tests(env.CHANGE_ID)
        rebuild_docker_images = sh (
          returnStatus: true,
          script: './ci/scripts/git_change_docker.sh',
          label: 'Check for any docker changes',
        )

        if (skip_ci) {
          // Don't rebuild when skipping CI
          rebuild_docker_images = false
        }
      }
    }
  }
}
def ecr_push(full_name) {
  aws_account_id = sh(
    returnStdout: true,
    script: 'aws sts get-caller-identity | grep Account | cut -f4 -d\\"',
    label: 'Get AWS ID'
  ).trim()

  def ecr_name = "${aws_account_id}.dkr.ecr.us-west-2.amazonaws.com/${full_name}"
  try {
    withEnv([
      "AWS_ACCOUNT_ID=${aws_account_id}",
      'AWS_DEFAULT_REGION=us-west-2',
      "AWS_ECR_REPO=${aws_account_id}.dkr.ecr.us-west-2.amazonaws.com"]) {
      sh(
        script: '''
          set -eux
          aws ecr get-login-password --region $AWS_DEFAULT_REGION | docker login --username AWS --password-stdin $AWS_ECR_REPO
        ''',
        label: 'Log in to ECR'
      )
      sh(
        script: """
          set -x
          . ci/scripts/retry.sh
          docker tag ${full_name} \$AWS_ECR_REPO/${full_name}
          retry 5 docker push \$AWS_ECR_REPO/${full_name}
        """,
        label: 'Upload image to ECR'
      )
    }
  } finally {
    withEnv([
      "AWS_ACCOUNT_ID=${aws_account_id}",
      'AWS_DEFAULT_REGION=us-west-2',
      "AWS_ECR_REPO=${aws_account_id}.dkr.ecr.us-west-2.amazonaws.com"]) {
      sh(
        script: 'docker logout $AWS_ECR_REPO',
        label: 'Clean up login credentials'
      )
    }
  }
  return ecr_name
}

def ecr_pull(full_name) {
  aws_account_id = sh(
    returnStdout: true,
    script: 'aws sts get-caller-identity | grep Account | cut -f4 -d\\"',
    label: 'Get AWS ID'
  ).trim()

  try {
    withEnv([
      "AWS_ACCOUNT_ID=${aws_account_id}",
      'AWS_DEFAULT_REGION=us-west-2',
      "AWS_ECR_REPO=${aws_account_id}.dkr.ecr.us-west-2.amazonaws.com"]) {
      sh(
        script: '''
          set -eux
          aws ecr get-login-password --region $AWS_DEFAULT_REGION | docker login --username AWS --password-stdin $AWS_ECR_REPO
        ''',
        label: 'Log in to ECR'
      )
      sh(
        script: """
          set -eux
          . ci/scripts/retry.sh
          retry 5 docker pull ${full_name}
        """,
        label: 'Pull image from ECR'
      )
    }
  } finally {
    withEnv([
      "AWS_ACCOUNT_ID=${aws_account_id}",
      'AWS_DEFAULT_REGION=us-west-2',
      "AWS_ECR_REPO=${aws_account_id}.dkr.ecr.us-west-2.amazonaws.com"]) {
      sh(
        script: 'docker logout $AWS_ECR_REPO',
        label: 'Clean up login credentials'
      )
    }
  }
}

def build_image(image_name) {
  hash = sh(
    returnStdout: true,
    script: 'git log -1 --format=\'%h\''
  ).trim()
  def full_name = "${image_name}:${env.BRANCH_NAME}-${hash}-${env.BUILD_NUMBER}"
  sh(
    script: "${docker_build} ${image_name} --spec ${full_name}",
    label: 'Build docker image'
  )
  return ecr_push(full_name)
}


def build_docker_images() {
  stage('Docker Image Build') {
    parallel(
      'ci_arm': {
        node('ARM') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_arm = build_image('ci_arm')
            built_ci_arm = build_image('ci_arm');
          }
        }
      },
      'ci_cortexm': {
        node('CPU') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_cortexm = build_image('ci_cortexm')
            built_ci_cortexm = build_image('ci_cortexm');
          }
        }
      },
      'ci_cpu': {
        node('CPU') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_cpu = build_image('ci_cpu')
            built_ci_cpu = build_image('ci_cpu');
          }
        }
      },
      'ci_gpu': {
        node('CPU') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_gpu = build_image('ci_gpu')
            built_ci_gpu = build_image('ci_gpu');
          }
        }
      },
      'ci_hexagon': {
        node('CPU') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_hexagon = build_image('ci_hexagon')
            built_ci_hexagon = build_image('ci_hexagon');
          }
        }
      },
      'ci_i386': {
        node('CPU') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_i386 = build_image('ci_i386')
            built_ci_i386 = build_image('ci_i386');
          }
        }
      },
      'ci_lint': {
        node('CPU') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_lint = build_image('ci_lint')
            built_ci_lint = build_image('ci_lint');
          }
        }
      },
      'ci_minimal': {
        node('CPU') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_minimal = build_image('ci_minimal')
            built_ci_minimal = build_image('ci_minimal');
          }
        }
      },
      'ci_riscv': {
        node('CPU') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_riscv = build_image('ci_riscv')
            built_ci_riscv = build_image('ci_riscv');
          }
        }
      },
      'ci_wasm': {
        node('CPU') {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
            // We're purposefully not setting the built image here since they
            // are not yet being uploaded to tlcpack
            // ci_wasm = build_image('ci_wasm')
            built_ci_wasm = build_image('ci_wasm');
          }
        }
      },
    )
  }
}
def lint() {
  stage('Lint') {
    parallel(
  'Lint 1 of 2': {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/lint") {
        init_git()
        docker_init(ci_lint)
        timeout(time: max_time, unit: 'MINUTES') {
          withEnv([
            'TVM_NUM_SHARDS=2',
            'TEST_STEP_NAME=Lint',
            'TVM_SHARD_INDEX=0',
            "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
            sh (
                script: "${docker_run} ${ci_lint} ./tests/scripts/task_lint.sh",
                label: 'Run lint',
              )
          })
        }
      }
    }
  },
  'Lint 2 of 2': {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/lint") {
        init_git()
        docker_init(ci_lint)
        timeout(time: max_time, unit: 'MINUTES') {
          withEnv([
            'TVM_NUM_SHARDS=2',
            'TEST_STEP_NAME=Lint',
            'TVM_SHARD_INDEX=1',
            "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
            sh (
                script: "${docker_run} ${ci_lint} ./tests/scripts/task_lint.sh",
                label: 'Run lint',
              )
          })
        }
      }
    }
  },
    )
  }
}
def ci_setup(image) {
  sh (
    script: "${docker_run} ${image} ./tests/scripts/task_ci_setup.sh",
    label: 'Set up CI environment',
  )
}

def python_unittest(image) {
  sh (
    script: "${docker_run} ${image} ./tests/scripts/task_python_unittest.sh",
    label: 'Run Python unit tests',
  )
}

def fsim_test(image) {
  // sh (
  //   script: "${docker_run} ${image} ./tests/scripts/task_python_vta_fsim.sh",
  //   label: 'Run VTA tests in FSIM',
  // )
}

def cmake_build(image, path, make_flag) {
  sh (
    script: "${docker_run} --env CI_NUM_EXECUTORS ${image} ./tests/scripts/task_build.py --sccache-bucket tvm-sccache-prod",
    label: 'Run cmake build',
  )
}

def cpp_unittest(image) {
  sh (
    script: "${docker_run} --env CI_NUM_EXECUTORS ${image} ./tests/scripts/task_cpp_unittest.sh",
    label: 'Build and run C++ tests',
  )
}

def add_microtvm_permissions() {
  sh(
    script: 'find build/microtvm_template_projects -type f | grep qemu-hack | xargs chmod +x',
    label: 'Add execute permissions for microTVM files',
  )
}

def add_hexagon_permissions() {
  sh(
    script: 'find build/hexagon_api_output -type f | xargs chmod +x',
    label: 'Add execute permissions for hexagon files',
  )
}

// Run make. First try to do an incremental make from a previous workspace in hope to
// accelerate the compilation. If something is wrong, clean the workspace and then
// build from scratch.
def make(docker_type, path, make_flag) {
  timeout(time: max_time, unit: 'MINUTES') {
    try {
      cmake_build(docker_type, path, make_flag)
    } catch (hudson.AbortException ae) {
      // script exited due to user abort, directly throw instead of retry
      if (ae.getMessage().contains('script returned exit code 143')) {
        throw ae
      }
      echo 'Incremental compilation failed. Fall back to build from scratch'
      sh (
        script: "${docker_run} ${docker_type} ./tests/scripts/task_clean.sh ${path}",
        label: 'Clear old cmake workspace',
      )
      cmake_build(docker_type, path, make_flag)
    }
  }
}


def build() {
stage('Build') {
  environment {
    SKIP_SLOW_TESTS = "${skip_slow_tests}"
  }
  parallel(
    'BUILD: GPU': {
    if (!skip_ci) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/build-gpu") {
          init_git()
          docker_init(ci_gpu)
          sh "${docker_run} --no-gpu ${ci_gpu} ./tests/scripts/task_config_build_gpu.sh build"
          make("${ci_gpu} --no-gpu", 'build', '-j2')
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress build/libtvm.so s3://${s3_prefix}/gpu/build/libtvm.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress build/libtvm_runtime.so s3://${s3_prefix}/gpu/build/libtvm_runtime.so
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress build/config.cmake s3://${s3_prefix}/gpu/build/config.cmake
              retry 3 aws s3 cp --no-progress build/microtvm_template_projects s3://${s3_prefix}/gpu/build/microtvm_template_projects --recursive
            """,
            label: 'Upload artifacts to S3',
          )


          // compiler test
          sh "${docker_run} --no-gpu ${ci_gpu} ./tests/scripts/task_config_build_gpu_other.sh build2"
          make("${ci_gpu} --no-gpu", 'build2', '-j2')
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress build/libtvm.so s3://${s3_prefix}/gpu2/build/libtvm.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress build/libtvm_runtime.so s3://${s3_prefix}/gpu2/build/libtvm_runtime.so
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress build/config.cmake s3://${s3_prefix}/gpu2/build/config.cmake
            """,
            label: 'Upload artifacts to S3',
          )

        }
      }
    }
  },
  'BUILD: CPU': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/build-cpu") {
          init_git()
          docker_init(ci_cpu)
          sh (
            script: "${docker_run} ${ci_cpu} ./tests/scripts/task_config_build_cpu.sh build",
            label: 'Create CPU cmake config',
          )
          make(ci_cpu, 'build', '-j2')
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress build/libtvm.so s3://${s3_prefix}/cpu/build/libtvm.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress build/libtvm_runtime.so s3://${s3_prefix}/cpu/build/libtvm_runtime.so
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress build/config.cmake s3://${s3_prefix}/cpu/build/config.cmake
            """,
            label: 'Upload artifacts to S3',
          )

          timeout(time: max_time, unit: 'MINUTES') {
            ci_setup(ci_cpu)
            // sh "${docker_run} ${ci_cpu} ./tests/scripts/task_golang.sh"
            // TODO(@jroesch): need to resolve CI issue will turn back on in follow up patch
            sh (script: "${docker_run} ${ci_cpu} ./tests/scripts/task_rust.sh", label: 'Rust build and test')
          }
        }
      }
    } else {
      Utils.markStageSkippedForConditional('BUILD: CPU')
    }
  },
  'BUILD: CPU MINIMAL': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/build-cpu-minimal") {
          init_git()
          docker_init(ci_minimal)
          sh (
            script: "${docker_run} ${ci_minimal} ./tests/scripts/task_config_build_minimal.sh build",
            label: 'Create CPU minimal cmake config',
          )
          make(ci_minimal, 'build', '-j2')
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress build/libtvm.so s3://${s3_prefix}/cpu-minimal/build/libtvm.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress build/libtvm_runtime.so s3://${s3_prefix}/cpu-minimal/build/libtvm_runtime.so
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress build/config.cmake s3://${s3_prefix}/cpu-minimal/build/config.cmake
            """,
            label: 'Upload artifacts to S3',
          )

        }
      }
    } else {
      Utils.markStageSkippedForConditional('BUILD: CPU MINIMAL')
    }
  },
  'BUILD: WASM': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/build-wasm") {
          init_git()
          docker_init(ci_wasm)
          sh (
            script: "${docker_run} ${ci_wasm} ./tests/scripts/task_config_build_wasm.sh build",
            label: 'Create WASM cmake config',
          )
          make(ci_wasm, 'build', '-j2')
          cpp_unittest(ci_wasm)
          timeout(time: max_time, unit: 'MINUTES') {
            ci_setup(ci_wasm)
            sh (
              script: "${docker_run} ${ci_wasm} ./tests/scripts/task_web_wasm.sh",
              label: 'Run WASM lint and tests',
            )
          }
        }
      }
    } else {
      Utils.markStageSkippedForConditional('BUILD: WASM')
    }
  },
  'BUILD: i386': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/build-i386") {
          init_git()
          docker_init(ci_i386)
          sh (
            script: "${docker_run} ${ci_i386} ./tests/scripts/task_config_build_i386.sh build",
            label: 'Create i386 cmake config',
          )
          make(ci_i386, 'build', '-j2')
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress build/libtvm.so s3://${s3_prefix}/i386/build/libtvm.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress build/libtvm_runtime.so s3://${s3_prefix}/i386/build/libtvm_runtime.so
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress build/config.cmake s3://${s3_prefix}/i386/build/config.cmake
            """,
            label: 'Upload artifacts to S3',
          )

        }
      }
    } else {
      Utils.markStageSkippedForConditional('BUILD: i386')
    }
  },
  'BUILD: arm': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('ARM-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/build-arm") {
          init_git()
          docker_init(ci_arm)
          sh (
            script: "${docker_run} ${ci_arm} ./tests/scripts/task_config_build_arm.sh build",
            label: 'Create ARM cmake config',
          )
          make(ci_arm, 'build', '-j4')
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress build/libtvm.so s3://${s3_prefix}/arm/build/libtvm.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress build/libtvm_runtime.so s3://${s3_prefix}/arm/build/libtvm_runtime.so
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress build/config.cmake s3://${s3_prefix}/arm/build/config.cmake
            """,
            label: 'Upload artifacts to S3',
          )

        }
      }
     } else {
      Utils.markStageSkippedForConditional('BUILD: arm')
    }
  },
  'BUILD: Cortex-M': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/build-cortexm") {
          init_git()
          docker_init(ci_cortexm)
          sh (
            script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_config_build_cortexm.sh build",
            label: 'Create Cortex-M cmake config',
          )
          make(ci_cortexm, 'build', '-j2')
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress build/libtvm.so s3://${s3_prefix}/cortexm/build/libtvm.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress build/libtvm_runtime.so s3://${s3_prefix}/cortexm/build/libtvm_runtime.so
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress build/config.cmake s3://${s3_prefix}/cortexm/build/config.cmake
              retry 3 aws s3 cp --no-progress build/microtvm_template_projects s3://${s3_prefix}/cortexm/build/microtvm_template_projects --recursive
            """,
            label: 'Upload artifacts to S3',
          )

        }
      }
     } else {
      Utils.markStageSkippedForConditional('BUILD: Cortex-M')
    }
  },
  'BUILD: Hexagon': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/build-hexagon") {
          init_git()
          docker_init(ci_hexagon)
          sh (
            script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_config_build_hexagon.sh build",
            label: 'Create Hexagon cmake config',
          )
          make(ci_hexagon, 'build', '-j2')
          sh (
            script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_build_hexagon_api.sh",
            label: 'Build Hexagon API',
          )
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress build/libtvm.so s3://${s3_prefix}/hexagon/build/libtvm.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress build/libtvm_runtime.so s3://${s3_prefix}/hexagon/build/libtvm_runtime.so
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress build/config.cmake s3://${s3_prefix}/hexagon/build/config.cmake
              retry 3 aws s3 cp --no-progress build/hexagon_api_output s3://${s3_prefix}/hexagon/build/hexagon_api_output --recursive
            """,
            label: 'Upload artifacts to S3',
          )

        }
      }
     } else {
      Utils.markStageSkippedForConditional('BUILD: Hexagon')
    }
  },
  'BUILD: RISC-V': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/build-riscv") {
          init_git()
          docker_init(ci_riscv)
          sh (
            script: "${docker_run} ${ci_riscv} ./tests/scripts/task_config_build_riscv.sh build",
            label: 'Create RISC-V cmake config',
          )
          make(ci_riscv, 'build', '-j2')
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress build/libtvm.so s3://${s3_prefix}/riscv/build/libtvm.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress build/libtvm_runtime.so s3://${s3_prefix}/riscv/build/libtvm_runtime.so
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress build/config.cmake s3://${s3_prefix}/riscv/build/config.cmake
              retry 3 aws s3 cp --no-progress build/microtvm_template_projects s3://${s3_prefix}/riscv/build/microtvm_template_projects --recursive
            """,
            label: 'Upload artifacts to S3',
          )

        }
      }
     } else {
      Utils.markStageSkippedForConditional('BUILD: RISC-V')
    }
  },
  )
}
}

// We have to do this whacky split of the code from where it's used since the
// JVM limits method length to 64k and we easily exceed that with all this
// autogenerated code. This makes it so each test step is in its own method so
// that each individual method isn't too big.

def shard_run_unittest_GPU_1_of_3() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=unittest: GPU',
              'TVM_NUM_SHARDS=3',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu2/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu2/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu2/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              cpp_unittest(ci_gpu)

              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              cpp_unittest(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_unittest_gpuonly.sh",
                label: 'Run Python GPU unit tests',
              )
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_integration_gpuonly.sh",
                label: 'Run Python GPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/unittest_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('unittest: GPU 1 of 3')
  }
}

def shard_run_unittest_GPU_2_of_3() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=unittest: GPU',
              'TVM_NUM_SHARDS=3',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_java_unittest.sh",
                label: 'Run Java unit tests',
              )
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_unittest_gpuonly.sh",
                label: 'Run Python GPU unit tests',
              )
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_integration_gpuonly.sh",
                label: 'Run Python GPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/unittest_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('unittest: GPU 2 of 3')
  }
}

def shard_run_unittest_GPU_3_of_3() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=unittest: GPU',
              'TVM_NUM_SHARDS=3',
              'TVM_SHARD_INDEX=2',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_unittest_gpuonly.sh",
                label: 'Run Python GPU unit tests',
              )
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_integration_gpuonly.sh",
                label: 'Run Python GPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/unittest_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('unittest: GPU 3 of 3')
  }
}


def shard_run_integration_CPU_1_of_4() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/integration-python-cpu") {
        try {
          init_git()
          docker_init(ci_cpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cpu',
              'TEST_STEP_NAME=integration: CPU',
              'TVM_NUM_SHARDS=4',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_cpu)
              sh (
                script: "${docker_run} ${ci_cpu} ./tests/scripts/task_python_integration.sh",
                label: 'Run CPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/integration_CPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('integration: CPU 1 of 4')
  }
}

def shard_run_integration_CPU_2_of_4() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/integration-python-cpu") {
        try {
          init_git()
          docker_init(ci_cpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cpu',
              'TEST_STEP_NAME=integration: CPU',
              'TVM_NUM_SHARDS=4',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_cpu)
              sh (
                script: "${docker_run} ${ci_cpu} ./tests/scripts/task_python_integration.sh",
                label: 'Run CPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/integration_CPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('integration: CPU 2 of 4')
  }
}

def shard_run_integration_CPU_3_of_4() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/integration-python-cpu") {
        try {
          init_git()
          docker_init(ci_cpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cpu',
              'TEST_STEP_NAME=integration: CPU',
              'TVM_NUM_SHARDS=4',
              'TVM_SHARD_INDEX=2',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_cpu)
              sh (
                script: "${docker_run} ${ci_cpu} ./tests/scripts/task_python_integration.sh",
                label: 'Run CPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/integration_CPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('integration: CPU 3 of 4')
  }
}

def shard_run_integration_CPU_4_of_4() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/integration-python-cpu") {
        try {
          init_git()
          docker_init(ci_cpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cpu',
              'TEST_STEP_NAME=integration: CPU',
              'TVM_NUM_SHARDS=4',
              'TVM_SHARD_INDEX=3',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_cpu)
              sh (
                script: "${docker_run} ${ci_cpu} ./tests/scripts/task_python_integration.sh",
                label: 'Run CPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/integration_CPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('integration: CPU 4 of 4')
  }
}


def shard_run_python_i386_1_of_3() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/integration-python-i386") {
        try {
          init_git()
          docker_init(ci_i386)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=i386',
              'TEST_STEP_NAME=python: i386',
              'TVM_NUM_SHARDS=3',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/i386/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/i386/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/i386/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_i386)
              cpp_unittest(ci_i386)
              python_unittest(ci_i386)
              sh (
                script: "${docker_run} ${ci_i386} ./tests/scripts/task_python_integration_i386only.sh",
                label: 'Run i386 integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/python_i386 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('python: i386 1 of 3')
  }
}

def shard_run_python_i386_2_of_3() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/integration-python-i386") {
        try {
          init_git()
          docker_init(ci_i386)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=i386',
              'TEST_STEP_NAME=python: i386',
              'TVM_NUM_SHARDS=3',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/i386/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/i386/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/i386/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_i386)
              python_unittest(ci_i386)
              sh (
                script: "${docker_run} ${ci_i386} ./tests/scripts/task_python_integration_i386only.sh",
                label: 'Run i386 integration tests',
              )
              fsim_test(ci_i386)
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/python_i386 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('python: i386 2 of 3')
  }
}

def shard_run_python_i386_3_of_3() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/integration-python-i386") {
        try {
          init_git()
          docker_init(ci_i386)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=i386',
              'TEST_STEP_NAME=python: i386',
              'TVM_NUM_SHARDS=3',
              'TVM_SHARD_INDEX=2',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/i386/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/i386/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/i386/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_i386)
              python_unittest(ci_i386)
              sh (
                script: "${docker_run} ${ci_i386} ./tests/scripts/task_python_integration_i386only.sh",
                label: 'Run i386 integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/python_i386 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('python: i386 3 of 3')
  }
}


def shard_run_test_Hexagon_1_of_8() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-hexagon") {
        try {
          init_git()
          docker_init(ci_hexagon)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=hexagon',
              'TEST_STEP_NAME=test: Hexagon',
              'TVM_NUM_SHARDS=8',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/hexagon_api_output build/hexagon_api_output --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_hexagon_permissions()
              ci_setup(ci_hexagon)
              cpp_unittest(ci_hexagon)
              sh (
                script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_python_hexagon.sh",
                label: 'Run Hexagon tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Hexagon --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Hexagon 1 of 8')
  }
}

def shard_run_test_Hexagon_2_of_8() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-hexagon") {
        try {
          init_git()
          docker_init(ci_hexagon)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=hexagon',
              'TEST_STEP_NAME=test: Hexagon',
              'TVM_NUM_SHARDS=8',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/hexagon_api_output build/hexagon_api_output --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_hexagon_permissions()
              ci_setup(ci_hexagon)
              sh (
                script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_python_hexagon.sh",
                label: 'Run Hexagon tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Hexagon --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Hexagon 2 of 8')
  }
}

def shard_run_test_Hexagon_3_of_8() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-hexagon") {
        try {
          init_git()
          docker_init(ci_hexagon)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=hexagon',
              'TEST_STEP_NAME=test: Hexagon',
              'TVM_NUM_SHARDS=8',
              'TVM_SHARD_INDEX=2',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/hexagon_api_output build/hexagon_api_output --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_hexagon_permissions()
              ci_setup(ci_hexagon)
              sh (
                script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_python_hexagon.sh",
                label: 'Run Hexagon tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Hexagon --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Hexagon 3 of 8')
  }
}

def shard_run_test_Hexagon_4_of_8() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-hexagon") {
        try {
          init_git()
          docker_init(ci_hexagon)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=hexagon',
              'TEST_STEP_NAME=test: Hexagon',
              'TVM_NUM_SHARDS=8',
              'TVM_SHARD_INDEX=3',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/hexagon_api_output build/hexagon_api_output --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_hexagon_permissions()
              ci_setup(ci_hexagon)
              sh (
                script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_python_hexagon.sh",
                label: 'Run Hexagon tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Hexagon --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Hexagon 4 of 8')
  }
}

def shard_run_test_Hexagon_5_of_8() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-hexagon") {
        try {
          init_git()
          docker_init(ci_hexagon)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=hexagon',
              'TEST_STEP_NAME=test: Hexagon',
              'TVM_NUM_SHARDS=8',
              'TVM_SHARD_INDEX=4',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/hexagon_api_output build/hexagon_api_output --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_hexagon_permissions()
              ci_setup(ci_hexagon)
              sh (
                script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_python_hexagon.sh",
                label: 'Run Hexagon tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Hexagon --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Hexagon 5 of 8')
  }
}

def shard_run_test_Hexagon_6_of_8() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-hexagon") {
        try {
          init_git()
          docker_init(ci_hexagon)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=hexagon',
              'TEST_STEP_NAME=test: Hexagon',
              'TVM_NUM_SHARDS=8',
              'TVM_SHARD_INDEX=5',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/hexagon_api_output build/hexagon_api_output --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_hexagon_permissions()
              ci_setup(ci_hexagon)
              sh (
                script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_python_hexagon.sh",
                label: 'Run Hexagon tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Hexagon --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Hexagon 6 of 8')
  }
}

def shard_run_test_Hexagon_7_of_8() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-hexagon") {
        try {
          init_git()
          docker_init(ci_hexagon)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=hexagon',
              'TEST_STEP_NAME=test: Hexagon',
              'TVM_NUM_SHARDS=8',
              'TVM_SHARD_INDEX=6',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/hexagon_api_output build/hexagon_api_output --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_hexagon_permissions()
              ci_setup(ci_hexagon)
              sh (
                script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_python_hexagon.sh",
                label: 'Run Hexagon tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Hexagon --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Hexagon 7 of 8')
  }
}

def shard_run_test_Hexagon_8_of_8() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-hexagon") {
        try {
          init_git()
          docker_init(ci_hexagon)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=hexagon',
              'TEST_STEP_NAME=test: Hexagon',
              'TVM_NUM_SHARDS=8',
              'TVM_SHARD_INDEX=7',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/hexagon/build/hexagon_api_output build/hexagon_api_output --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_hexagon_permissions()
              ci_setup(ci_hexagon)
              sh (
                script: "${docker_run} ${ci_hexagon} ./tests/scripts/task_python_hexagon.sh",
                label: 'Run Hexagon tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Hexagon --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Hexagon 8 of 8')
  }
}


def shard_run_integration_aarch64_1_of_4() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('ARM-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-arm") {
        try {
          init_git()
          docker_init(ci_arm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=arm',
              'TEST_STEP_NAME=integration: aarch64',
              'TVM_NUM_SHARDS=4',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_arm)
              python_unittest(ci_arm)
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_integration.sh",
                label: 'Run CPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/integration_aarch64 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('integration: aarch64 1 of 4')
  }
}

def shard_run_integration_aarch64_2_of_4() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('ARM-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-arm") {
        try {
          init_git()
          docker_init(ci_arm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=arm',
              'TEST_STEP_NAME=integration: aarch64',
              'TVM_NUM_SHARDS=4',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_arm)
              python_unittest(ci_arm)
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_integration.sh",
                label: 'Run CPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/integration_aarch64 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('integration: aarch64 2 of 4')
  }
}

def shard_run_integration_aarch64_3_of_4() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('ARM-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-arm") {
        try {
          init_git()
          docker_init(ci_arm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=arm',
              'TEST_STEP_NAME=integration: aarch64',
              'TVM_NUM_SHARDS=4',
              'TVM_SHARD_INDEX=2',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_arm)
              python_unittest(ci_arm)
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_integration.sh",
                label: 'Run CPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/integration_aarch64 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('integration: aarch64 3 of 4')
  }
}

def shard_run_integration_aarch64_4_of_4() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('ARM-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-arm") {
        try {
          init_git()
          docker_init(ci_arm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=arm',
              'TEST_STEP_NAME=integration: aarch64',
              'TVM_NUM_SHARDS=4',
              'TVM_SHARD_INDEX=3',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_arm)
              python_unittest(ci_arm)
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_integration.sh",
                label: 'Run CPU integration tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/integration_aarch64 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('integration: aarch64 4 of 4')
  }
}


def shard_run_topi_GPU_1_of_3() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/topi-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=topi: GPU',
              'TVM_NUM_SHARDS=3',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_topi.sh",
                label: 'Run TOPI tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/topi_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('topi: GPU 1 of 3')
  }
}

def shard_run_topi_GPU_2_of_3() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/topi-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=topi: GPU',
              'TVM_NUM_SHARDS=3',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_topi.sh",
                label: 'Run TOPI tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/topi_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('topi: GPU 2 of 3')
  }
}

def shard_run_topi_GPU_3_of_3() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/topi-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=topi: GPU',
              'TVM_NUM_SHARDS=3',
              'TVM_SHARD_INDEX=2',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_topi.sh",
                label: 'Run TOPI tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/topi_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('topi: GPU 3 of 3')
  }
}


def shard_run_frontend_GPU_1_of_6() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/frontend-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=frontend: GPU',
              'TVM_NUM_SHARDS=6',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_frontend.sh",
                label: 'Run Python frontend tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/frontend_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('frontend: GPU 1 of 6')
  }
}

def shard_run_frontend_GPU_2_of_6() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/frontend-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=frontend: GPU',
              'TVM_NUM_SHARDS=6',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_frontend.sh",
                label: 'Run Python frontend tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/frontend_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('frontend: GPU 2 of 6')
  }
}

def shard_run_frontend_GPU_3_of_6() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/frontend-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=frontend: GPU',
              'TVM_NUM_SHARDS=6',
              'TVM_SHARD_INDEX=2',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_frontend.sh",
                label: 'Run Python frontend tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/frontend_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('frontend: GPU 3 of 6')
  }
}

def shard_run_frontend_GPU_4_of_6() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/frontend-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=frontend: GPU',
              'TVM_NUM_SHARDS=6',
              'TVM_SHARD_INDEX=3',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_frontend.sh",
                label: 'Run Python frontend tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/frontend_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('frontend: GPU 4 of 6')
  }
}

def shard_run_frontend_GPU_5_of_6() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/frontend-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=frontend: GPU',
              'TVM_NUM_SHARDS=6',
              'TVM_SHARD_INDEX=4',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_frontend.sh",
                label: 'Run Python frontend tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/frontend_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('frontend: GPU 5 of 6')
  }
}

def shard_run_frontend_GPU_6_of_6() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('GPU') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/frontend-python-gpu") {
        try {
          init_git()
          docker_init(ci_gpu)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=gpu',
              'TEST_STEP_NAME=frontend: GPU',
              'TVM_NUM_SHARDS=6',
              'TVM_SHARD_INDEX=5',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_gpu)
              sh (
                script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_frontend.sh",
                label: 'Run Python frontend tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/frontend_GPU --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('frontend: GPU 6 of 6')
  }
}


def shard_run_topi_aarch64_1_of_2() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('ARM-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-arm") {
        try {
          init_git()
          docker_init(ci_arm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=arm',
              'TEST_STEP_NAME=topi: aarch64',
              'TVM_NUM_SHARDS=2',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_arm)
              cpp_unittest(ci_arm)
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_arm_compute_library.sh",
                label: 'Run test_arm_compute_lib test',
              )
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_topi.sh",
                label: 'Run TOPI tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/topi_aarch64 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('topi: aarch64 1 of 2')
  }
}

def shard_run_topi_aarch64_2_of_2() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('ARM-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-arm") {
        try {
          init_git()
          docker_init(ci_arm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=arm',
              'TEST_STEP_NAME=topi: aarch64',
              'TVM_NUM_SHARDS=2',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_arm)
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_arm_compute_library.sh",
                label: 'Run test_arm_compute_lib test',
              )
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_topi.sh",
                label: 'Run TOPI tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/topi_aarch64 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('topi: aarch64 2 of 2')
  }
}


def shard_run_frontend_aarch64_1_of_2() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('ARM-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/frontend-python-arm") {
        try {
          init_git()
          docker_init(ci_arm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=arm',
              'TEST_STEP_NAME=frontend: aarch64',
              'TVM_NUM_SHARDS=2',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_arm)
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_frontend_cpu.sh",
                label: 'Run Python frontend tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/frontend_aarch64 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('frontend: aarch64 1 of 2')
  }
}

def shard_run_frontend_aarch64_2_of_2() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('ARM-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/frontend-python-arm") {
        try {
          init_git()
          docker_init(ci_arm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=arm',
              'TEST_STEP_NAME=frontend: aarch64',
              'TVM_NUM_SHARDS=2',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/arm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

              ci_setup(ci_arm)
              sh (
                script: "${docker_run} ${ci_arm} ./tests/scripts/task_python_frontend_cpu.sh",
                label: 'Run Python frontend tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/frontend_aarch64 --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('frontend: aarch64 2 of 2')
  }
}


def shard_run_test_Cortex_M_1_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              cpp_unittest(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_demo_microtvm.sh",
                label: 'Run microTVM demos',
              )
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 1 of 12')
  }
}

def shard_run_test_Cortex_M_2_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=1',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 2 of 12')
  }
}

def shard_run_test_Cortex_M_3_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=2',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 3 of 12')
  }
}

def shard_run_test_Cortex_M_4_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=3',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 4 of 12')
  }
}

def shard_run_test_Cortex_M_5_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=4',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 5 of 12')
  }
}

def shard_run_test_Cortex_M_6_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=5',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 6 of 12')
  }
}

def shard_run_test_Cortex_M_7_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=6',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 7 of 12')
  }
}

def shard_run_test_Cortex_M_8_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=7',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 8 of 12')
  }
}

def shard_run_test_Cortex_M_9_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=8',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 9 of 12')
  }
}

def shard_run_test_Cortex_M_10_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=9',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 10 of 12')
  }
}

def shard_run_test_Cortex_M_11_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=10',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 11 of 12')
  }
}

def shard_run_test_Cortex_M_12_of_12() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-cortexm") {
        try {
          init_git()
          docker_init(ci_cortexm)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=cortexm',
              'TEST_STEP_NAME=test: Cortex-M',
              'TVM_NUM_SHARDS=12',
              'TVM_SHARD_INDEX=11',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cortexm/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_cortexm} ./tests/scripts/task_python_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_Cortex_M --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: Cortex-M 12 of 12')
  }
}


def shard_run_test_RISC_V_1_of_1() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/test-riscv") {
        try {
          init_git()
          docker_init(ci_riscv)
          timeout(time: max_time, unit: 'MINUTES') {
            withEnv([
              'PLATFORM=riscv',
              'TEST_STEP_NAME=test: RISC-V',
              'TVM_NUM_SHARDS=1',
              'TVM_SHARD_INDEX=0',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
              sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/riscv/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/riscv/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/riscv/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/riscv/build/microtvm_template_projects build/microtvm_template_projects --recursive
                        """,
                        label: 'Download artifacts from S3',
                      )

              add_microtvm_permissions()
              ci_setup(ci_riscv)
              cpp_unittest(ci_cortexm)
              sh (
                script: "${docker_run} ${ci_riscv} ./tests/scripts/task_riscv_microtvm.sh",
                label: 'Run microTVM tests',
              )
            })
          }
        } finally {
          sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/test_RISC_V --recursive
            """,
            label: 'Upload JUnits to S3',
          )

          junit 'build/pytest-results/*.xml'
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('test: RISC-V 1 of 1')
  }
}


def run_unittest_minimal() {
  if (!skip_ci && is_docs_only_build != 1) {
    node('CPU-SMALL') {
      ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-cpu-minimal") {
        timeout(time: max_time, unit: 'MINUTES') {
          try {
            init_git()
            docker_init(ci_minimal)
            withEnv(['PLATFORM=minimal'], {
              sh(
                    script: """
                      set -eux
                      . ci/scripts/retry.sh
                      retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu-minimal/build/libtvm.so build/libtvm.so
                      md5sum build/libtvm.so
                      retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu-minimal/build/libtvm_runtime.so build/libtvm_runtime.so
                      md5sum build/libtvm_runtime.so
                      retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu-minimal/build/config.cmake build/config.cmake
                      md5sum build/config.cmake
                    """,
                    label: 'Download artifacts from S3',
                  )

              cpp_unittest(ci_minimal)
              python_unittest(ci_minimal)
            })
          } finally {
            sh(
            script: """
              set -eux
              aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/unittest_CPU_MINIMAL --recursive
            """,
            label: 'Upload JUnits to S3',
          )

            junit 'build/pytest-results/*.xml'
          }
        }
      }
    }
  } else {
    Utils.markStageSkippedForConditional('unittest: CPU MINIMAL')
  }
}

def test() {
stage('Test') {
  environment {
    SKIP_SLOW_TESTS = "${skip_slow_tests}"
  }
  parallel(
  'unittest: GPU 1 of 3': {
    shard_run_unittest_GPU_1_of_3()
  },
  'unittest: GPU 2 of 3': {
    shard_run_unittest_GPU_2_of_3()
  },
  'unittest: GPU 3 of 3': {
    shard_run_unittest_GPU_3_of_3()
  },
  'integration: CPU 1 of 4': {
    shard_run_integration_CPU_1_of_4()
  },
  'integration: CPU 2 of 4': {
    shard_run_integration_CPU_2_of_4()
  },
  'integration: CPU 3 of 4': {
    shard_run_integration_CPU_3_of_4()
  },
  'integration: CPU 4 of 4': {
    shard_run_integration_CPU_4_of_4()
  },
  'python: i386 1 of 3': {
    shard_run_python_i386_1_of_3()
  },
  'python: i386 2 of 3': {
    shard_run_python_i386_2_of_3()
  },
  'python: i386 3 of 3': {
    shard_run_python_i386_3_of_3()
  },
  'test: Hexagon 1 of 8': {
    shard_run_test_Hexagon_1_of_8()
  },
  'test: Hexagon 2 of 8': {
    shard_run_test_Hexagon_2_of_8()
  },
  'test: Hexagon 3 of 8': {
    shard_run_test_Hexagon_3_of_8()
  },
  'test: Hexagon 4 of 8': {
    shard_run_test_Hexagon_4_of_8()
  },
  'test: Hexagon 5 of 8': {
    shard_run_test_Hexagon_5_of_8()
  },
  'test: Hexagon 6 of 8': {
    shard_run_test_Hexagon_6_of_8()
  },
  'test: Hexagon 7 of 8': {
    shard_run_test_Hexagon_7_of_8()
  },
  'test: Hexagon 8 of 8': {
    shard_run_test_Hexagon_8_of_8()
  },
  'integration: aarch64 1 of 4': {
    shard_run_integration_aarch64_1_of_4()
  },
  'integration: aarch64 2 of 4': {
    shard_run_integration_aarch64_2_of_4()
  },
  'integration: aarch64 3 of 4': {
    shard_run_integration_aarch64_3_of_4()
  },
  'integration: aarch64 4 of 4': {
    shard_run_integration_aarch64_4_of_4()
  },
  'topi: GPU 1 of 3': {
    shard_run_topi_GPU_1_of_3()
  },
  'topi: GPU 2 of 3': {
    shard_run_topi_GPU_2_of_3()
  },
  'topi: GPU 3 of 3': {
    shard_run_topi_GPU_3_of_3()
  },
  'frontend: GPU 1 of 6': {
    shard_run_frontend_GPU_1_of_6()
  },
  'frontend: GPU 2 of 6': {
    shard_run_frontend_GPU_2_of_6()
  },
  'frontend: GPU 3 of 6': {
    shard_run_frontend_GPU_3_of_6()
  },
  'frontend: GPU 4 of 6': {
    shard_run_frontend_GPU_4_of_6()
  },
  'frontend: GPU 5 of 6': {
    shard_run_frontend_GPU_5_of_6()
  },
  'frontend: GPU 6 of 6': {
    shard_run_frontend_GPU_6_of_6()
  },
  'topi: aarch64 1 of 2': {
    shard_run_topi_aarch64_1_of_2()
  },
  'topi: aarch64 2 of 2': {
    shard_run_topi_aarch64_2_of_2()
  },
  'frontend: aarch64 1 of 2': {
    shard_run_frontend_aarch64_1_of_2()
  },
  'frontend: aarch64 2 of 2': {
    shard_run_frontend_aarch64_2_of_2()
  },
  'test: Cortex-M 1 of 12': {
    shard_run_test_Cortex_M_1_of_12()
  },
  'test: Cortex-M 2 of 12': {
    shard_run_test_Cortex_M_2_of_12()
  },
  'test: Cortex-M 3 of 12': {
    shard_run_test_Cortex_M_3_of_12()
  },
  'test: Cortex-M 4 of 12': {
    shard_run_test_Cortex_M_4_of_12()
  },
  'test: Cortex-M 5 of 12': {
    shard_run_test_Cortex_M_5_of_12()
  },
  'test: Cortex-M 6 of 12': {
    shard_run_test_Cortex_M_6_of_12()
  },
  'test: Cortex-M 7 of 12': {
    shard_run_test_Cortex_M_7_of_12()
  },
  'test: Cortex-M 8 of 12': {
    shard_run_test_Cortex_M_8_of_12()
  },
  'test: Cortex-M 9 of 12': {
    shard_run_test_Cortex_M_9_of_12()
  },
  'test: Cortex-M 10 of 12': {
    shard_run_test_Cortex_M_10_of_12()
  },
  'test: Cortex-M 11 of 12': {
    shard_run_test_Cortex_M_11_of_12()
  },
  'test: Cortex-M 12 of 12': {
    shard_run_test_Cortex_M_12_of_12()
  },
  'test: RISC-V 1 of 1': {
    shard_run_test_RISC_V_1_of_1()
  },
  'unittest: CPU MINIMAL': {
    run_unittest_minimal()
  },
  'unittest: CPU': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/ut-python-cpu") {
          timeout(time: max_time, unit: 'MINUTES') {
            try {
              init_git()
              docker_init(ci_cpu)
              withEnv(['PLATFORM=cpu',
              'TEST_STEP_NAME=unittest: CPU',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
                sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

                ci_setup(ci_cpu)
                cpp_unittest(ci_cpu)
                python_unittest(ci_cpu)
                fsim_test(ci_cpu)
                // sh (
                //   script: "${docker_run} ${ci_cpu} ./tests/scripts/task_python_vta_tsim.sh",
                //   label: 'Run VTA tests in TSIM',
                // )
              })
            } finally {
              sh(
                script: """
                  set -eux
                  aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/unittest_CPU --recursive
                """,
                label: 'Upload JUnits to S3',
              )

              junit 'build/pytest-results/*.xml'
            }
          }
        }
      }
    } else {
      Utils.markStageSkippedForConditional('unittest: CPU')
    }
  },
  'frontend: CPU': {
    if (!skip_ci && is_docs_only_build != 1) {
      node('CPU-SMALL') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/frontend-python-cpu") {
          timeout(time: max_time, unit: 'MINUTES') {
            try {
              init_git()
              docker_init(ci_cpu)
              withEnv(['PLATFORM=cpu',
              'TEST_STEP_NAME=frontend: CPU',
              "SKIP_SLOW_TESTS=${skip_slow_tests}"], {
                sh(
                        script: """
                          set -eux
                          . ci/scripts/retry.sh
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm.so build/libtvm.so
                          md5sum build/libtvm.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/libtvm_runtime.so build/libtvm_runtime.so
                          md5sum build/libtvm_runtime.so
                          retry 3 aws s3 cp --no-progress s3://${s3_prefix}/cpu/build/config.cmake build/config.cmake
                          md5sum build/config.cmake
                        """,
                        label: 'Download artifacts from S3',
                      )

                ci_setup(ci_cpu)
                sh (
                  script: "${docker_run} ${ci_cpu} ./tests/scripts/task_python_frontend_cpu.sh",
                  label: 'Run Python frontend tests',
                )
              })
            } finally {
              sh(
                script: """
                  set -eux
                  aws s3 cp --no-progress build/pytest-results s3://${s3_prefix}/pytest-results/frontend_CPU --recursive
                """,
                label: 'Upload JUnits to S3',
              )

              junit 'build/pytest-results/*.xml'
            }
          }
        }
      }
    } else {
      Utils.markStageSkippedForConditional('frontend: CPU')
    }
  },
  'docs: GPU': {
    if (!skip_ci) {
      node('GPU') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/docs-python-gpu") {
          init_git()
          docker_init(ci_gpu)
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm.so build/libtvm.so
              md5sum build/libtvm.so
              retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/libtvm_runtime.so build/libtvm_runtime.so
              md5sum build/libtvm_runtime.so
              retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/config.cmake build/config.cmake
              md5sum build/config.cmake
              retry 3 aws s3 cp --no-progress s3://${s3_prefix}/gpu/build/microtvm_template_projects build/microtvm_template_projects --recursive
            """,
            label: 'Download artifacts from S3',
          )

          add_microtvm_permissions()
          timeout(time: 180, unit: 'MINUTES') {
            ci_setup(ci_gpu)
            sh (
              script: "${docker_run} ${ci_gpu} ./tests/scripts/task_python_docs.sh",
              label: 'Build docs',
            )
          }
          sh(
            script: """
              set -eux
              . ci/scripts/retry.sh
              md5sum docs.tgz
              retry 3 aws s3 cp --no-progress docs.tgz s3://${s3_prefix}/docs/docs.tgz
            """,
            label: 'Upload artifacts to S3',
          )

          sh(
            script: "aws s3 cp --no-progress _docs s3://${s3_prefix}/docs --recursive",
            label: 'Upload docs to S3',
          )
        }
      }
    }
  },
  )
}
}
/*
stage('Build packages') {
  parallel 'conda CPU': {
    node('CPU') {
      sh "${docker_run} tlcpack/conda-cpu ./conda/build_cpu.sh
    }
  },
  'conda cuda': {
    node('CPU') {
      sh "${docker_run} tlcpack/conda-cuda90 ./conda/build_cuda.sh
      sh "${docker_run} tlcpack/conda-cuda100 ./conda/build_cuda.sh
    }
  }
// Here we could upload the packages to anaconda for releases
// and/or the main branch
}
*/


def update_docker(ecr_image, hub_image) {
  if (ecr_image == null) {
    sh("image was not rebuilt, skipping")
    return
  }
  if (!ecr_image.contains("amazonaws.com")) {
    sh("echo \"Skipping '${ecr_image}' -> '${hub_image}' since it doesn\'t look like an ECR image\"")
    return
  }
  docker_init(ecr_image)
  sh(
    script: """
    set -eux
    . ci/scripts/retry.sh
    docker tag \
      ${ecr_image} \
      ${hub_image}
    retry 5 docker push ${hub_image}
    """,
    label: "Update ${hub_image} on Docker Hub",
  )
}

def deploy_docs() {
  // Note: This code must stay in the Jenkinsfile to ensure that it runs
  // from a trusted context only
  sh(
    script: '''
      set -eux
      rm -rf tvm-site
      git clone -b $DOCS_DEPLOY_BRANCH --depth=1 https://github.com/apache/tvm-site
      cd tvm-site
      git status
      git checkout -B $DOCS_DEPLOY_BRANCH

      git ls-tree HEAD docs/ --name-only | grep -vP '^docs/v\\d' | xargs rm -rf
      mkdir -p docs
      tar xf ../docs.tgz -C docs
      COMMIT=$(cat docs/commit_hash)
      git add .
      git config user.name tvm-bot
      git config user.email 95660001+tvm-bot@users.noreply.github.com
      git commit -m"deploying docs (apache/tvm@$COMMIT)"
      git status
    ''',
    label: 'Unpack docs and update tvm-site'
  )

  withCredentials([string(
    credentialsId: 'docs-push-token',
    variable: 'GITHUB_TOKEN',
    )]) {
    sh(
      script: '''
        cd tvm-site
        git remote add deploy https://$GITHUB_TOKEN:x-oauth-basic@github.com/apache/tvm-site.git
        git push deploy $DOCS_DEPLOY_BRANCH || true
      ''',
      label: 'Upload docs to apache/tvm-site'
    )
  }
}


def deploy() {
  stage('Deploy') {
    if (env.BRANCH_NAME == 'main') {
      parallel(
  'Deploy Docs': {
    if (env.DOCS_DEPLOY_ENABLED == 'yes') {
      node('CPU') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/deploy-docs") {
          timeout(time: max_time, unit: 'MINUTES') {
            init_git()
                    sh(
                      script: """
                        set -eux
                        . ci/scripts/retry.sh
                        retry 3 aws s3 cp --no-progress s3://${s3_prefix}/docs/docs.tgz docs.tgz
                        md5sum docs.tgz
                      """,
                      label: 'Download artifacts from S3',
                    )

                    deploy_docs()
          }
        }
      }
    } else {
      Utils.markStageSkippedForConditional('Deploy Docs')
    }
  },
  'Upload built Docker images': {
    if (env.DEPLOY_DOCKER_IMAGES == 'yes' && rebuild_docker_images && upstream_revision != null) {
      node('CPU') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/deploy-docker") {
          timeout(time: max_time, unit: 'MINUTES') {
            try {
                      withCredentials([string(
                        credentialsId: 'dockerhub-tlcpackstaging-key',
                        variable: 'DOCKERHUB_KEY',
                      )]) {
                        sh(
                          script: 'docker login -u tlcpackstaging -p ${DOCKERHUB_KEY}',
                          label: 'Log in to Docker Hub',
                        )
                      }
                      def date_Ymd_HMS = sh(
                        script: 'python3 -c \'import datetime; print(datetime.datetime.now().strftime("%Y%m%d-%H%M%S"))\'',
                        label: 'Determine date',
                        returnStdout: true,
                      ).trim()
                      def tag = "${date_Ymd_HMS}-${upstream_revision.substring(0, 8)}"
                      update_docker(built_ci_arm, "tlcpackstaging/ci_arm:${tag}")
                      update_docker(built_ci_cortexm, "tlcpackstaging/ci_cortexm:${tag}")
                      update_docker(built_ci_cpu, "tlcpackstaging/ci_cpu:${tag}")
                      update_docker(built_ci_gpu, "tlcpackstaging/ci_gpu:${tag}")
                      update_docker(built_ci_hexagon, "tlcpackstaging/ci_hexagon:${tag}")
                      update_docker(built_ci_i386, "tlcpackstaging/ci_i386:${tag}")
                      update_docker(built_ci_lint, "tlcpackstaging/ci_lint:${tag}")
                      update_docker(built_ci_minimal, "tlcpackstaging/ci_minimal:${tag}")
                      update_docker(built_ci_riscv, "tlcpackstaging/ci_riscv:${tag}")
                      update_docker(built_ci_wasm, "tlcpackstaging/ci_wasm:${tag}")
                    } finally {
                      sh(
                        script: 'docker logout',
                        label: 'Clean up login credentials'
                      )
                    }
          }
        }
      }
    } else {
      Utils.markStageSkippedForConditional('Upload built Docker images')
    }
  },
  'Tag tlcpackstaging to tlcpack': {
    if (env.DOCS_DEPLOY_ENABLED == 'yes') {
      node('CPU') {
        ws("workspace/exec_${env.EXECUTOR_NUMBER}/tvm/tag-images") {
          timeout(time: max_time, unit: 'MINUTES') {
            withCredentials([string(
                        credentialsId: 'dockerhub-tlcpack-key',
                        variable: 'TLCPACK_TOKEN',
                      )]) {
                      try {
                        sh(
                          script: 'echo $TLCPACK_TOKEN | docker login --username octomldriazati --password-stdin',
                          label: 'Log in to Docker Hub'
                        )
                        if (ci_arm.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_arm.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_arm:${tag}
                              docker tag tlcpackstaging/ci_arm:${tag} tlcpack/ci-arm:${tag}
                              retry 5 docker push tlcpack/ci-arm:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_arm image to tlcpack',
                          )
                        }
                        if (ci_cortexm.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_cortexm.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_cortexm:${tag}
                              docker tag tlcpackstaging/ci_cortexm:${tag} tlcpack/ci-cortexm:${tag}
                              retry 5 docker push tlcpack/ci-cortexm:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_cortexm image to tlcpack',
                          )
                        }
                        if (ci_cpu.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_cpu.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_cpu:${tag}
                              docker tag tlcpackstaging/ci_cpu:${tag} tlcpack/ci-cpu:${tag}
                              retry 5 docker push tlcpack/ci-cpu:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_cpu image to tlcpack',
                          )
                        }
                        if (ci_gpu.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_gpu.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_gpu:${tag}
                              docker tag tlcpackstaging/ci_gpu:${tag} tlcpack/ci-gpu:${tag}
                              retry 5 docker push tlcpack/ci-gpu:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_gpu image to tlcpack',
                          )
                        }
                        if (ci_hexagon.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_hexagon.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_hexagon:${tag}
                              docker tag tlcpackstaging/ci_hexagon:${tag} tlcpack/ci-hexagon:${tag}
                              retry 5 docker push tlcpack/ci-hexagon:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_hexagon image to tlcpack',
                          )
                        }
                        if (ci_i386.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_i386.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_i386:${tag}
                              docker tag tlcpackstaging/ci_i386:${tag} tlcpack/ci-i386:${tag}
                              retry 5 docker push tlcpack/ci-i386:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_i386 image to tlcpack',
                          )
                        }
                        if (ci_lint.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_lint.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_lint:${tag}
                              docker tag tlcpackstaging/ci_lint:${tag} tlcpack/ci-lint:${tag}
                              retry 5 docker push tlcpack/ci-lint:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_lint image to tlcpack',
                          )
                        }
                        if (ci_minimal.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_minimal.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_minimal:${tag}
                              docker tag tlcpackstaging/ci_minimal:${tag} tlcpack/ci-minimal:${tag}
                              retry 5 docker push tlcpack/ci-minimal:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_minimal image to tlcpack',
                          )
                        }
                        if (ci_riscv.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_riscv.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_riscv:${tag}
                              docker tag tlcpackstaging/ci_riscv:${tag} tlcpack/ci-riscv:${tag}
                              retry 5 docker push tlcpack/ci-riscv:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_riscv image to tlcpack',
                          )
                        }
                        if (ci_wasm.contains("tlcpackstaging")) {
                          // Push image to tlcpack
                          def tag = ci_wasm.split(":")[1]
                          sh(
                            script: """
                              set -eux
                              . ci/scripts/retry.sh
                              docker pull tlcpackstaging/ci_wasm:${tag}
                              docker tag tlcpackstaging/ci_wasm:${tag} tlcpack/ci-wasm:${tag}
                              retry 5 docker push tlcpack/ci-wasm:${tag}
                            """,
                            label: 'Tag tlcpackstaging/ci_wasm image to tlcpack',
                          )
                        }
                      } finally {
                        sh(
                          script: 'docker logout',
                          label: 'Clean up login credentials'
                        )
                      }
                    }
          }
        }
      }
    } else {
      Utils.markStageSkippedForConditional('Tag tlcpackstaging to tlcpack')
    }
  },
      )
    }
  }
}


cancel_previous_build()

prepare()

if (rebuild_docker_images) {
  build_docker_images()
}

lint()

build()

test()

deploy()