# limitations under the License.
# ==============================================================================
#
# Changes the behavior in pycpp.sh from "run all tests" to "verify that all
# tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test
# execution is too expensive.
TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1

TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_tpu"
TFCI_LIB_SUFFIX="-tpu-linux-x86_64"
TFCI_WHL_BAZEL_TEST_ENABLE=0
TFCI_WHL_IMPORT_TEST_ENABLE=0
TFCI_WHL_SIZE_LIMIT=580M

# targets.
license_query() {
 bazel cquery --experimental_cc_shared_library "$1" --keep_going \
  | grep -e "^//" -e "^@" \
  | grep -E -v "^//tensorflow" \
  | sed -e 's|:.*||' \
  | sort -u
}

# Verify that, given a build target and a license-list generator target, all of
# the dependencies of that target which include a license notice file are then
# included when generating that license. Necessary because the license targets

# targets.
license_query() {
 bazel cquery --experimental_cc_shared_library "$1" --keep_going \
  | grep -e "^//" -e "^@" \
  | grep -E -v "^//tensorflow" \
  | sed -e 's|:.*||' \
  | sort -u
}

# Verify that, given a build target and a license-list generator target, all of
# the dependencies of that target which include a license notice file are then
# included when generating that license. Necessary because the license targets

TFCI_MACOS_PYENV_INSTALL_ENABLE=
TFCI_MACOS_TWINE_INSTALL_ENABLE=
TFCI_MACOS_UPGRADE_PYENV_ENABLE=
TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=
TFCI_NVIDIA_SMI_ENABLE=
TFCI_OUTPUT_DIR=
TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=
TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS=
TFCI_PYTHON_VERSION=
TFCI_WHL_AUDIT_ENABLE=
TFCI_WHL_AUDIT_PLAT=
TFCI_WHL_BAZEL_TEST_ENABLE=
TFCI_WHL_IMPORT_TEST_ENABLE=1
TFCI_WHL_SIZE_LIMIT=

    *   oneDNN optimizations can yield slightly different numerical results compared to when oneDNN optimizations are disabled due to floating-point round-off errors from
 different computation approaches and orders.
    *   To verify if oneDNN optimizations are on, look for a message with *"oneDNN custom operations are on"* in the log. If the exact phrase is not there, it means they are off.

* Making the `tf.function` type system fully available:

# PYCPP TESTS run a suite of Python and C++ tests to verify general correctness over
# the whole TF code base. These are usually run continuously or upon presubmit.
# CPU PYCPP: