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manifests/charts/ztunnel/README.md
# Istio Ztunnel Helm Chart This chart installs an Istio ztunnel. ## Setup Repo Info ```console helm repo add istio https://istio-release.storage.googleapis.com/charts helm repo update ``` _See [helm repo](https://helm.sh/docs/helm/helm_repo/) for command documentation._ ## Installing the Chart To install the chart: ```console helm install ztunnel istio/ztunnel ``` ## Uninstalling the Chart
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ci/official/envs/linux_x86_cuda
# ============================================================================== source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 19 00:24:30 GMT 2024 - 1K bytes - Viewed (0) -
istio.deps
[ { "_comment": "", "name": "PROXY_REPO_SHA", "repoName": "proxy", "file": "", "lastStableSHA": "66d4e06ac2ebee766c5943e3c4063fc2cbe1e71e" }, { "_comment": "", "name": "ZTUNNEL_REPO_SHA", "repoName": "ztunnel", "file": "", "lastStableSHA": "3d7b6d0991f4a3960bf73999c4c882377c5180df" }
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ci/official/wheel_test/WORKSPACE
local_repository( name = "local_tensorflow", path = "../../..", ) load( "@local_tensorflow//tensorflow/tools/toolchains/python:python_repo.bzl", "python_repository", ) python_repository(name = "python_version_repo") load("@python_version_repo//:py_version.bzl", "TF_PYTHON_VERSION") # Register multi toolchains
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manifests/charts/gateway/README.md
# Istio Gateway Helm Chart This chart installs an Istio gateway deployment. ## Setup Repo Info ```console helm repo add istio https://istio-release.storage.googleapis.com/charts helm repo update ``` _See [helm repo](https://helm.sh/docs/helm/helm_repo/) for command documentation._ ## Installing the Chart To install the chart with the release name `istio-ingressgateway`: ```console
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.cm/add_usual_expert.cm
add_usual_expert: if: - {{ ('add_usual_expert' | isEnabledAutomation(pr)) }} - {{ repo | codeExperts(gt=50) | match(branch.author) | nope }} run: - action: add-reviewers@v1 args:
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ci/official/envs/linux_arm64
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_arm64_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1
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ci/official/envs/linux_x86
# limitations under the License. # ============================================================================== TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_cpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_cpu" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=tensorflow/build:2.16-python${TFCI_PYTHON_VERSION} TFCI_DOCKER_PULL_ENABLE=1
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doc/README.md
glob "*stdlib/*minor" are treated specially. They should be in subdirectories corresponding to standard library package paths, and headings for those package paths will be generated automatically. Files in this repo's `api/next` directory must have corresponding files in `doc/next/*stdlib/*minor`. The files should be in the subdirectory for the package with the new API, and should be named after the issue number of the API proposal.
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ci/official/envs/macos_x86
# limitations under the License. # ============================================================================== TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_macos_x86" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=macos_x86 TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-darwin-x86_64" TFCI_MACOS_BAZEL_TEST_DIR_ENABLE=1
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