docker-hotfix: hotfix-push checks ## builds minio docker container with hotfix tags
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) --build-arg RELEASE=$(VERSION) . -f Dockerfile.hotfix

docker: build ## builds minio docker container
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) . -f Dockerfile

test-resiliency: build
	@echo "Running resiliency tests"

```bash
helm get values my-release > old_values.yaml
```

Then change the field `image.tag` in `old_values.yaml` file with MinIO image tag you want to use. Now update the chart using

```bash
helm upgrade -f old_values.yaml my-release minio/minio
```

[registry.k8s.io/kube-apiserver:v1.25.16](ht...

[registry.k8s.io/kube-apiserver:v1.23.17](ht...

if [[ "$TFCI_DOCKER_PULL_ENABLE" == 1 ]]; then
  # Simple retry logic for docker-pull errors. Sleeps if a pull fails.
  # Pulling an already-pulled container image will finish instantly, so
  # repeating the command costs nothing.
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 15
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 30
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 60

ogle.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le), [s390x](https://console.cloud.google.com/...

  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then
    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
  # replace tensorflow to tf_nightly in the wheel name

    }
}

function handleSponsorImages() {
    const announceRight = document.getElementById('announce-right');
    if(!announceRight) return;

    const sponsorImages = document.querySelectorAll('.sponsor-image');

    const imagePromises = Array.from(sponsorImages).map(img => {
        return new Promise((resolve, reject) => {
            if (img.complete && img.naturalHeight !== 0) {
                resolve();

  venv_dir=$(cygpath -m $venv_dir)
  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  if [[ "$TFCI_PYTHON_VERSION" == "3.13" ]]; then
    "$python" -m pip install numpy==1.26.4
  else

RUN wget https://github.com/NixOS/patchelf/releases/download/0.18.0/patchelf-0.18.0-x86_64.tar.gz && tar -zxvf patchelf-0.18.0-x86_64.tar.gz -C /usr && rm -rf patchelf-0.18.0-x86_64.tar.gz

# Don't use the bazel cache when a new docker image is created.
RUN echo build --action_env=DOCKER_CACHEBUSTER=$(date +%s%N)$RANDOM >> /etc/bazel.bazelrc