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RELEASE.md
Modak, Yasuhiro Matsumoto, Yi Li, Yong Tang, zhaozheng09, Zhoulong Jiang, zzpmiracle # Release 2.6.2 Fixes an issue where `keras`, `tensorflow_estimator` and `tensorboard` were missing proper upper bounds and resulted in broken installs after TF 2.7 release # Release 2.6.1 This release introduces several vulnerability fixes: * Fixes a code injection issue in `saved_model_cli`
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ci/official/requirements_updater/release_updater.sh
do cp ../../../requirements_lock_"$VERSION".txt "requirements_lock_"$VERSION".txt" bazel run \ --experimental_convenience_symlinks=ignore \ --enable_bzlmod=false \ //:requirements_"$VERSION"_release.update sed -i '/^#/d' requirements_lock_"$VERSION".txt mv "requirements_lock_"$VERSION".txt" ../../../requirements_lock_"$VERSION".txt done
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ci/official/requirements_updater/BUILD.bazel
) compile_pip_requirements_3_9( name = "requirements_3_9_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly", ], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_9.txt", ) compile_pip_requirements_3_10( name = "requirements_3_10_release", extra_args = [ "--allow-unsafe", "-P keras-nightly",
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ci/official/envs/linux_x86_cuda
# limitations under the License. # ============================================================================== source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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ci/official/requirements_updater/requirements.in
tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies grpcio >= 1.24.3, < 2.0 portpicker == 1.6.0 scipy == 1.11.3 requests == 2.31.0 packaging==23.2
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ci/official/envs/versions_upload
# Release jobs are very basic. They don't use any caching or RBE, # but they do upload logs to resultstore. # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"
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ci/official/utilities/setup_macos.sh
# Pyenv version. We enable this for macOS x86 builds as the default Pyenv on # those VMs does not support installing Python 3.12 and above which we need # for running smoke tests in nightly/release wheel builds. if [[ "${TFCI_MACOS_UPGRADE_PYENV_ENABLE}" == 1 ]]; then # The TFCI Mac VM image seems to have uncommitted local changes to the Pyenv # repository so we have to discard them and reset the working directory before
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ci/official/requirements_updater/README.md
requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_11.txt", ) ``` ``` compile_pip_requirements_3_11( name = "requirements_3_11_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly", ], requirements_in = "requirements.in",
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.bazelrc
test:release_macos_base --build_tests_only --keep_going test:release_macos_base --flaky_test_attempts=3 # Test configs for macOS x86 test:release_macos_x86 --config=release_macos_base # Test configs for macOS Arm64 test:release_macos_arm64 --config=release_macos_base # Ensure release_base is set on windows build:release_cpu_windows --config=release_base # TODO(kanglan): Update windows configs after b/289091160 is fixed
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ci/official/envs/linux_arm64
# limitations under the License. # ============================================================================== TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$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"
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