implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report
vulnerabilities to the vendor of the affected hardware accelerator.

## Reporting vulnerabilities

### Vulnerabilities in TensorFlow

This document covers different use cases for TensorFlow together with comments

        "//learning/brain/mlir/...",
        "//third_party/iree/...",
        "//third_party/odml/infra/...",
        "//tensorflow/compiler/mlir/...",
        "//tensorflow/lite/python/...",
        "//waymo/accelerator/alpine/tools/...",
        "//waymo/ml/compiler/mlir/...",
        # Allow visibility from the mlir language server.
        "//learning/brain/mlir/mlir_lsp_server/...",

fi

if [[ -n "${NODE_ACCELERATORS}" ]]; then
    if [[ "${NODE_ACCELERATORS}" =~ .*type=([a-zA-Z0-9-]+).* ]]; then
        NON_MASTER_NODE_LABELS="${NON_MASTER_NODE_LABELS},cloud.google.com/gke-accelerator=${BASH_REMATCH[1]}"
    fi
fi

# List of the set of feature gates recognized by the GCP CCM

        "//third_party/py/guesslang/...",
        "//third_party/py/keras/...",
        "//third_party/py/tf_keras/...",
        "//third_party/yggdrasil_decision_forests/...",
        "//waymo/accelerator/...",
        "//waymo/ml/cn/...",
        "//waymo/ml/models/...",
    ],
)

package_group(
    name = "ndarray_tensor_allow_list",
    packages = [
        "//third_party/py/courier/...",

compiling to XLA.
### `-tf-einsum`

_Transform Einsum to other TF Ops for the supported variants_

### `-tf-embedding-pipelining`

_Rewrite graph for embedding pipelining_

For architectures that support accelerated embedding lookups, this pass will
rewrite the graph to use pipelining for better device utilization.
### `-tf-embedding-program-key`

_Sets the program key for embedding ops._

    *   Fix GPU delegate crash with C++17.
    *   Add 5D support to TFLite `strided_slice`.
    *   Fix error in delegation of `DEPTH_TO_SPACE` to `NNAPI` causing op not to
        be accelerated.
    *   Fix segmentation fault when running a model with LSTM nodes using
        `NNAPI` Delegate
    *   Fix `NNAPI` delegate failure when an operand for Maximum/Minimum
        operation is a scalar.

  # More details here - https://cloud.google.com/compute/docs/gpus/add-gpus#create-new-gpu-instance
  if [[ -n "${NODE_ACCELERATORS}" ]]; then
    accelerator_args+=(--maintenance-policy TERMINATE --restart-on-failure --accelerator "${NODE_ACCELERATORS}")
    gcloud="gcloud beta"
  fi

  local preemptible_minions=()
  if [[ "${PREEMPTIBLE_NODE}" == "true" ]]; then
    preemptible_minions+=(--preemptible --maintenance-policy TERMINATE)

- The kube-scheduler ComponentConfig v1beta2 is deprecated in v1.25. ([#111547](https://github.com/kubernetes/kubernetes/pull/111547), [@kerthcet](https://github.com/kerthcet))
- The kubelet no longer supports collecting accelerator metrics through cAdvisor. The feature gate `DisableAcceleratorUsageMetrics` is now GA and cannot be disabled. ([#110940](https://github.com/kubernetes/kubernetes/pull/110940), [@pacoxu](https://github.com/pacoxu))

- When `DisableAcceleratorUsageMetrics` is set, do not collect accelerator metrics using cAdvisor. ([#101712](https://github.com/kubernetes/kubernetes/pull/101712), [@SergeyKanzhelev](https://github.com/SergeyKanzhelev)) [SIG Instrumentation and Node]

// (AWS) Elastic Load Balancing
// Submitted by Luke Wells <******@****.***>
// Reference: 12a3d528-1bac-4433-a359-a395867ffed2
*.elb.amazonaws.com.cn
*.elb.amazonaws.com

// AWS Global Accelerator
// Submitted by Daniel Massaguer <******@****.***>
// Reference: d916759d-a08b-4241-b536-4db887383a6a
awsglobalaccelerator.com

// eero
// Submitted by Yue Kang <******@****.***>