- Append the image pull error for the pods `status.containerStatuses[*].state.waiting.message` when

  1. Populate new `RuntimeHandler` field in CRI's `ImageSpec` struct during image pulls from container runtimes.
  2. Pass `runtimeHandler` field in `RemoveImage()` call to container runtime in `kubelet`'s image garbage collection. ([#121456](https://github.com/kubernetes/kubernetes/pull/121456), [@kiashok](https://github.com/kiashok))

  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

- Updated distroless iptables to use released image `registry.k8s.io/build-image/distroless-iptables:v0.2.2`
  - Updated setcap to use released image `registry.k8s.io/build-image/setcap:bullseye-v1.4.2` ([#116509](https://github.com/kubernetes/kubernetes/pull/116509), [@cpanato](https://github.com/cpanato)) [SIG Testing]

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

  top: -10px;
  right: 0;
  font-size: 0.5rem;
  color: #e6e6e6;
  background-color: #666;
  border-radius: 10px;
  padding: 0 10px;
  z-index: 10;
}

.announce-wrapper .sponsor-image {
  display: block;
  border-radius: 20px;
}

.announce-wrapper>div {
  min-height: 40px;
  display: flex;
  align-items: center;
}

.twitter {
  color: #00acee;
}

	}

	resultCases := []ObjectInfo{
		// ObjectInfo -1.
		// ObjectName set to a existing object in the test case (Test case 14).
		{Bucket: "test-getobjectinfo", Name: "Asia/asiapics.jpg", ContentType: "image/jpeg", IsDir: false},
		{Bucket: "test-getobjectinfo", Name: "Asia/empty-dir/", ContentType: "application/octet-stream", IsDir: true},
	}
	testCases := []struct {
		bucketName string
		objectName string

        ops.
    *   Add `tf.image.psnr`, `tf.image.ssim`, `tf.image.ssim_multiscale`,
        `tf.image.image_gradients`, `tf.image.sobel_edges`.
    *   Add links to https://js.tensorflow.org.
    *   Fix non-uniformity of orthogonal matrices.
    *   Fix bug where multi-image Estimator eval summaries were not displayed
        correctly.