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`

)

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",

# 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"

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

          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",

# 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"

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

# 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"

#      Ex. no_docker  -- Disable docker on enabled platforms
#    See full examples below for more details on these. Some other modifiers are:
#      Ex. versions_upload -- for TF official release versions
#      Ex. nightly_upload -- for TF nightly official builds; changes version numbers
#      Ex. no_upload      -- Disable all uploads, usually for temporary CI issues

# Recommended: use a local+remote cache.
#

  - Whether this vulnerability is public or known to third parties. If it is,
    please provide details.

We will try to fix the problems as soon as possible. Vulnerabilities will, in
general, be batched to be fixed at the same time as a quarterly release. We
credit reporters for identifying security issues, although we keep your name
confidential if you request it. Please see Google Bug Hunters program website